{ "count" : 59656, "data" : [ { "id" : "6a2ca54074d8ee00a09b56c0", "title" : "Privacy Counsel (Office of General Counsel)", "company" : "Gibson Dunn", "industry" : "Legal", "salary" : { "min" : 110000.0, "max" : 170000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Privacy Counsel in Brussels, Belgium, adjusted for the legal industry and a large law firm." }, "location" : "Brussels", "locations" : [ "Brussels", "London", "Paris" ], "certifications" : [ "CIPP", "CIPT", "ISEB" ], "timestamp" : "2026-06-16T03:15:06.799", "fingerprint" : "609b6b17fdde5da7078158184cc1f7edbfcc9642bdb06c0a194e89a89f0e3718", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/gibsondunn/jobs/4251422009", "externalId" : "4251422009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Brussels", "country" : "Belgium", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.8467372,4.3524930" } ], "locationText" : "Brussels, Belgium", "professionalSkills" : [ "Privacy program development", "Risk assessment", "Compliance monitoring", "Data governance", "Legal strategy", "Contract review" ], "hardSkillsList" : [ "Privacy law", "Data protection laws", "Cross-border data transfers", "Data subject requests", "Data incidents" ], "hardSkills" : [ { "name" : "Privacy law", "level" : "intermediate" }, { "name" : "Data protection laws", "level" : "intermediate" }, { "name" : "Cross-border data transfers", "level" : "intermediate" }, { "name" : "Data subject requests", "level" : "intermediate" }, { "name" : "Data incidents", "level" : "intermediate" } ], "majorSkills" : "Privacy program implementation, Data protection compliance, Risk management, Legal advice", "majorSkillsList" : [ "Privacy program implementation", "Data protection compliance", "Risk management", "Legal advice" ], "coreResponsibilities" : "Assist in identification, implementation, maintenance of privacy policies, Support relevant committee activities, Perform PRAs, DPIAs, and compliance monitoring, Maintain appropriate privacy statements, Assist in developing and delivering privacy training, Participate in compliance monitoring of third parties, Assist with receiving, documenting, tracking complaints, Initiate, facilitate, promote privacy awareness, Stay abreast of data protection laws, Serve as statutory privacy officer, Act as primary contact for data protection authorities, Assist with reviewing data protection clauses, Assist with reviewing data processing agreements, Collaborate to maintain personal data processing catalog, Assist with investigation of data incidents, Assist with containment of data incidents, Assist with remediation of data incidents, Assist with regulatory notification of data incidents, Assist with internal investigations, Assist with privacy impact assessments, Identify opportunities to improve data-handling practices, Pursue opportunities to improve data-handling practices", "teamCollaboration" : "Coordinate with Firm management; Coordinate with OGC; Collaborate with internal stakeholders; Collaborate with OGC; Collaborate with operations information security; Collaborate with information services; Collaborate with data governance", "domainKnowledge" : "US federal privacy laws; US state privacy laws; EU privacy laws; UK privacy laws; Applicable privacy laws; Personal data protection; Privacy by design; Privacy by default; Data processing agreements; Generative artificial intelligence", "domainList" : [ "us-federal-privacy-laws", "us-state-privacy-laws", "eu-privacy-laws", "uk-privacy-laws", "applicable-privacy-laws", "personal-data-protection", "privacy-by-design", "privacy-by-default", "data-processing-agreements", "generative-artificial-intelligence" ], "domainSpecificKnowledge" : [ "US federal privacy laws", "US state privacy laws", "EU privacy laws", "UK privacy laws", "Applicable privacy laws", "Personal data protection", "Privacy by design", "Privacy by default", "Data processing agreements", "Generative artificial intelligence" ], "qualificationsBasic" : "Six (6) years minimum relevant work experience, Client-facing legal practitioner advising on privacy, Compliance, legal, audit, or risk function experience, Recent privacy compliance experience", "qualificationsPreferred" : "Experience gained at global law firm, Experience at global accountancy, consultancy, or professional services business, Experience at regulated global financial services business, Data Protection and/or Privacy certification", "remoteFriendly" : false, "rawDescription" : "Summary: Gibson Dunn is a leading global law firm, advising clients on significant transactions and disputes. Our exceptional teams craft and deploy creative legal strategies that are meticulously tailored to every matter, however complex or high-stakes. The firm’s work is distinguished by a unique combination of precision and vision. Based in our London, Brussels, or Paris office, the Privacy Counsel will play a key role in all ongoing activities related to the development, implementation, maintenance of, and adherence to the Firm’s privacy programme covering the protection of personal data in compliance with US federal and state, E.U., U.K., and other applicable privacy laws. The Privacy Counsel will be a member of the Firm’s Office of General Counsel (“OGC”) and will report to the Firm’s Head of Compliance & Assistant General Counsel (“CO”). The Privacy Counsel will assist (and where requested or as required, deputize for) the CO in relation to all aspects of the continued operation and evolution of the Firm’s privacy programme. Responsibilities include: Assist and collaborate with the HoC in the identification, implementation, and maintenance of organizational privacy/data protection policies, procedures, and all other aspects of the Firm’s privacy programme, in coordination with the Firm’s management and OGC. Support the activities of relevant committees, including, without limitation, the Firm’s Cyber and Data Governance Committee and Artificial Intelligence (AI) and Technology Strategy Discussion group. Perform PRAs, DPIAs and other related compliance monitoring and risk assessment activities, in coordination as needed or appropriate with the Firm’s other compliance and operational assessment functions. Work with relevant internal stakeholders to maintain appropriate privacy statements reflecting current organization and legal practices and requirements. Assist the HoC in developing, overseeing, directing, delivering, or ensuring delivery of privacy training to all attorneys and professional staff, and others as needed or desired, on a cadence to be determined by the HoC and/or other stakeholders. Participate in compliance monitoring and/or audits of, and/or attestation/verification activities with respect to, personal data processing practices of. and contractual compliance by, higher-risk Firm subcontractors, vendors, and other third parties who process personal data at the direction of or on behalf of the Firm. Assist with receiving, documenting, tracking, investigating and acting on all requests, queries, and complaints concerning the Firm’s handling of personal data and/or the Firm’s privacy-related policies, procedures, and practices (including data subject requests), in coordination and collaboration with other functions, any locally appointed data protection officers, and, when necessary, the OGC. Initiate, facilitate and promote activities to foster information privacy awareness and privacy by design/default within the Firm. Stay abreast of developments in applicable data protection / privacy laws, accreditation standards, and privacy enhancing technologies, and recommend any actions the Firm should take in response. Serve as the Firm’s statutory privacy officer, data protection officer, or equivalent as required, and act as the Firm’s primary point of contact and liaison for the relevant data protection authorities (excluding cases where another individual is appointed as a local statutory data protection officer, in which case, the Privacy Counsel will be available to advise, assist, and coordinate as needed). Assist with reviewing, and/or train others to perform reviews of, data protection clauses, data processing agreements, and related issues presented in client agreements on behalf of the Firm, and Firm vendor contracts. Collaborate with other of the Firm’s professional services function(s) to maintain a personal data processing catalog (including an Article 30 register). Assisting with the investigation, containment, remediation, regulatory notification, and all other related activities pertaining to any data incident involving the unauthorized release of, or access to, personal data, including internal investigations and privacy impact assessments. Assist and collaborate with the Firm’s operations information security, information services, data governance, and other functions in identifying and pursuing opportunities to improve the resilience and sustainability of the Firm’s data-handling practices in general, including but not limited to contexts involving the deployment of new cloud-based platforms and generative artificial intelligence tools and features. Qualifications: Technical Skills A successful candidate will have the following technical skills and experience: Strong understanding of how EU/UK GDPR is interpreted / applied / enforced in practice in the context of a global business, coupled with an understanding (or aptitude to develop such an understanding) of privacy laws of the USA, Middle East, and Asia. Experience working with or advising on privacy laws of one or more of the following jurisdictions preferred: USA, Hong Kong, Singapore, ADGM, DIFC, Saudi Arabia, PRC. Experience drafting and negotiating privacy-specific agreements such as data processing/transfer agreements, as well as privacy-related provisions in a broad range of contracts. Experience conducting and responding to privacy due diligence inquiries or audit. Experience with end-to-end handling of data subject access requests, disclosure requests made by law enforcement/regulators, etc. Experience with end-to-end handling of data breach and other incidents involving personal data, with experience of liaising with regulators in relation to such incidents preferred. Experience with resolving privacy-related issues/queries that arise during day-to-day operation of a global business, e.g., entry into a new market, workplace surveillance, M&A, redundancy, adoption of generative AI tools, IT transformation, etc. Experience with monitoring, ascertaining the relevance of, and advising on the actions required to respond to privacy-related legal/regulatory developments. Experience with designing, developing, and delivering privacy-related training and/or awareness-raising activities. Experience with drafting and/or maintaining privacy-related notices, policies, procedures, forms, templates, etc. Understands the interplay between privacy and other allied disciplines, such as information security, data governance, and records management. Non-Technical Skills A successful candidate will have the following non-technical skills and experience: Understands how internal functions such as HR, Operations, Learning & Development, IT, Marketing, Finance/Accounts, Risk/Compliance/OGC, Procurement, Information Security, etc. of a global business typically operate. Understands how modern technology is typically deployed and used by a global organisation. Ability to project manage or simultaneously manage competing priorities. Ability to exercise sound professional judgment in balancing the need to ensure compliance against the priority of the business, by taking a holistic yet pragmatic approach to risk management. Ability to translate/interpret complex legal concepts, requirements, etc. plainly and concisely for non-legal audience. Ability to handle highly confidential and sensitive information with the utmost care and discretion. Exceptional verbal and written communication, people, collaboration, and facilitation skills, with the ability to collaborate effectively with diverse stakeholders of varying seniority and cultural backgrounds. Ability to work effectively as an expert independent contributor, as well as a team member, and to delegate and manage resources effectively. Self-starter with intellectual curiosity and resilience to proactively identify and pursue opportunities for improving privacy practices. Experience: Law degree from an accredited law school and valid license to practice law required. Six (6) years’ minimum of relevant work experience. Experience either (1) as a client-facing legal practitioner who advises complex, multi-national clients on privacy-related issues and matters, including but not limited to cross-border data transfers, privacy framework and compliance program design, handling of data subject access requests, and data incidents involving the authorized release of, or access to, personal data and/or (2) within a compliance, legal, audit, and/or risk function, with recent experience in privacy compliance, ideally gained at a global law firm (or alternatively, a global accountancy, consultancy, or other professional services business, or a regulated global financial services business) strongly preferred. Data Protection and/or Privacy certification, such as CIPP, CIPT, ISEB preferred. Gibson Dunn will consider for employment qualified Applicants with Criminal Histories in a manner consistent with the requirements of local law. ______ For technical difficulties with our online application, please contact us at staffrecruiting@gibsondunn.com. Our recruiting support team will respond as soon as possible. ______ Gibson Dunn is committed to ensuring equal employment opportunities for all qualified applicants, including individuals with disabilities. We strive to ensure an inclusive and accessible hiring experience. The Firm will provide reasonable accommodations to qualified individuals with disabilities to enable participation in the application and recruitment process, unless doing so would impose an undue hardship, in accordance with applicable laws and regulations. If you require a reasonable accommodation to complete an application, participate in an interview, or otherwise take part in the recruitment process, please contact us at recruiting-accommodations@gibsondunn.com. Please note, this is a dedicated email inbox established exclusively to assist applicants with accommodation request related to the recruitment process. Inquiries about the status of an application or other non-accommodation matter will not receive a response.", "summaryDescription" : "Privacy Counsel (Office of General Counsel) at Gibson Dunn. Skills: Privacy program implementation, Data protection compliance, Risk management, Legal advice. Assist in identification, implementation, maintenance of privacy policies. Support relevant committee activities", "postedDate" : "2026-06-14T19:17:34.443", "createdAt" : "2026-06-14T19:17:34.443", "lastUpdated" : "2026-06-16T03:15:06.799", "ingestTimestamp" : "2026-06-14T19:17:34.443", "mongoId" : "6a2ca54074d8ee00a09b56c0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Privacy law", "Data protection laws", "Cross-border data transfers", "Data subject requests", "Data incidents", "Privacy program implementation", "Data protection compliance", "Risk management", "Legal advice", "Privacy program development", "Risk assessment", "Compliance monitoring", "Data governance", "Legal strategy", "Contract review", "US federal privacy laws", "US state privacy laws", "EU privacy laws", "UK privacy laws", "Applicable privacy laws", "Personal data protection", "Privacy by design", "Privacy by default", "Data processing agreements", "Generative artificial intelligence", "CIPP", "CIPT", "ISEB" ], "skillCount" : 28, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Legal", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306dfdf292fd229cfdbaea", "title" : "Product & Privacy Counsel", "company" : "Synthesia", "industry" : "Operations", "salary" : { "min" : 110000.0, "max" : 160000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product & Privacy Counsel in London, UK, adjusted for the technology industry and company size." }, "location" : "London", "locations" : [ "London", "New York City", "US Remote", "UK Remote" ], "timestamp" : "2026-06-16T11:05:57.308", "fingerprint" : "96261dbd66c6b544d12c56cbe99d82476e5268ddc0a5bc5b8a7e0137f2152a32", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Synthesia/53cbc812-2d44-42db-94d8-32a86f66e00a/application", "externalId" : "53cbc812-2d44-42db-94d8-32a86f66e00a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Risk management", "Legal analysis", "Compliance oversight", "Business operations", "Product positioning", "Licensing models", "Risk appetite" ], "hardSkillsList" : [ "AI legal issues", "IP legal issues", "Privacy legal issues", "Security legal issues", "Marketing legal issues", "Regulatory compliance" ], "hardSkills" : [ { "name" : "AI legal issues", "level" : "intermediate" }, { "name" : "IP legal issues", "level" : "intermediate" }, { "name" : "Privacy legal issues", "level" : "intermediate" }, { "name" : "Security legal issues", "level" : "intermediate" }, { "name" : "Marketing legal issues", "level" : "intermediate" }, { "name" : "Regulatory compliance", "level" : "intermediate" } ], "majorSkills" : "Product legal, AI legal, Privacy legal, Regulatory interpretation", "majorSkillsList" : [ "Product legal", "AI legal", "Privacy legal", "Regulatory interpretation" ], "coreResponsibilities" : "Identify legal risks, Address legal risks, Advise on product positioning, Advise on licensing models, Advise on regulatory issues, Monitor evolving laws, Interpret evolving laws, Ensure proactive compliance, Ensure business alignment, Draft scalable processes, Maintain scalable processes, Provide playbooks, Provide guidance, Assist in creation of frameworks, Assist in management of frameworks, Assist in audits, Provide pragmatic legal advice, Provide business-oriented legal advice", "teamCollaboration" : "Partner with Product teams; Partner with Engineering teams; Partner with R&D teams; Partner with Business Operations teams; Partner with Go-To-Market teams", "domainKnowledge" : "Generative AI; AI/ML technologies; Algorithmic accountability; GDPR; Privacy frameworks; Biometric data processing; Automated decision-making; AI governance", "domainList" : [ "generative-ai", "ai-ml-technologies", "algorithmic-accountability", "gdpr", "privacy-frameworks", "biometric-data-processing", "automated-decision-making", "ai-governance" ], "domainSpecificKnowledge" : [ "Generative AI", "AI/ML technologies", "Algorithmic accountability", "GDPR", "Privacy frameworks", "Biometric data processing", "Automated decision-making", "AI governance" ], "communicationSkills" : "Written communication; Clear messages; Concise messages", "documentationSkills" : "Draft guidance; Draft playbooks", "problemSolvingSkills" : "Translate legal risk", "qualificationsBasic" : "Law degree, Qualified to practice in-house, 7+ years post-qualification experience, 5+ years advising on SaaS product legal, Understanding of AI/ML technologies, Understanding of GDPR, Comfortable working with technical teams, Excellent written communication skills, Proven ability to manage competing priorities, Work autonomously", "qualificationsPreferred" : "Prior generative AI exposure preferred, Experience with biometric data processing a plus, Experience with automated decision-making a plus", "remoteFriendly" : true, "rawDescription" : "Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. As a Product & Privacy Counsel at Synthesia, you’ll partner closely with Product, Engineering, R&D, Business Operations, and Go-To-Market teams to help bring innovative AI products to market responsibly. Reporting to the Head of Product & Privacy Legal, you’ll play a key role in navigating complex legal and regulatory issues, balancing risk with business objectives, and helping the company scale with confidence. In this role you will: - Partner with Product, Engineering, and R&D teams across the entire product lifecycle to identify and address legal risks in areas including AI, IP, privacy, security, open source, and marketing. - Support commercialization efforts by advising Go-To-Market and Business Operations teams on product positioning, licensing models, and regulatory issues. - Monitor and interpret evolving laws related to AI, privacy, IP, and competition to ensure proactive compliance and business alignment. - Draft and maintain scalable processes, playbooks, and guidance to support consistent legal input across teams. - Assist in creation and management of privacy, security and AI governance frameworks and audits. - Operate independently and provide pragmatic, business-oriented legal advice that aligns with Synthesia’s risk appetite and goals. YOU’RE A GREAT FIT FOR THE ROLE IF YOU HAVE: - Law degree and qualified to practice in-house in a relevant jurisdiction. - 7+ years of post-qualification experience, including 5+ advising on SaaS product legal issues; prior exposure to generative AI preferred. - Strong understanding of AI/ML technologies and related legal issues (e.g., IP, privacy, algorithmic accountability). - Strong understanding of GDPR and other major privacy frameworks, experience with biometric data processing or automated decision-making is a plus. - Comfortable working with technical teams and translating legal risk into actionable guidance. - Excellent written communication skills with the ability to draft clear, concise messages for cross-functional audiences. - Proven ability to manage competing priorities and work autonomously in a fast-paced environment.", "summaryDescription" : "Product & Privacy Counsel at Synthesia. Skills: Product legal, AI legal, Privacy legal, Regulatory interpretation. Identify legal risks. Address legal risks", "createdAt" : "2026-06-16T00:30:36.624", "lastUpdated" : "2026-06-16T11:05:57.308", "ingestTimestamp" : "2026-06-16T00:30:36.624", "mongoId" : "6a306dfdf292fd229cfdbaea", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "AI legal issues", "IP legal issues", "Privacy legal issues", "Security legal issues", "Marketing legal issues", "Regulatory compliance", "Product legal", "AI legal", "Privacy legal", "Regulatory interpretation", "Risk management", "Legal analysis", "Compliance oversight", "Business operations", "Product positioning", "Licensing models", "Risk appetite", "Generative AI", "AI/ML technologies", "Algorithmic accountability", "GDPR", "Privacy frameworks", "Biometric data processing", "Automated decision-making", "AI governance" ], "skillCount" : 25, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305605f292fd229cf2428d", "title" : "Product & Privacy Counsel", "company" : "Synthesia", "industry" : "Operations", "salary" : { "min" : 110000.0, "max" : 160000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product & Privacy Counsel in London, UK, adjusted for the technology industry and company size." }, "location" : "London", "locations" : [ "London", "New York City", "US Remote", "UK Remote" ], "timestamp" : "2026-06-16T09:40:24.368", "fingerprint" : "5c692b15ae89984ed69ea8ffcb1200f5eef4dbd3dc27f3f5b943ae10d2e16072", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/synthesia/53cbc812-2d44-42db-94d8-32a86f66e00a/application", "externalId" : "53cbc812-2d44-42db-94d8-32a86f66e00a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Risk management", "Legal analysis", "Compliance oversight", "Business operations", "Product positioning", "Licensing models", "Regulatory issues", "Risk appetite" ], "hardSkillsList" : [ "AI legal issues", "IP legal issues", "Privacy legal issues", "Security legal issues", "Marketing legal issues", "Algorithmic accountability" ], "hardSkills" : [ { "name" : "AI legal issues", "level" : "intermediate" }, { "name" : "IP legal issues", "level" : "intermediate" }, { "name" : "Privacy legal issues", "level" : "intermediate" }, { "name" : "Security legal issues", "level" : "intermediate" }, { "name" : "Marketing legal issues", "level" : "intermediate" }, { "name" : "Algorithmic accountability", "level" : "intermediate" } ], "majorSkills" : "Product counsel, AI legal, Privacy law, SaaS product legal", "majorSkillsList" : [ "Product counsel", "AI legal", "Privacy law", "SaaS product legal" ], "coreResponsibilities" : "Identify legal risks, Address legal risks, Advise on product positioning, Advise on licensing models, Advise on regulatory issues, Monitor evolving laws, Interpret evolving laws, Ensure proactive compliance, Ensure business alignment, Draft scalable processes, Maintain scalable processes, Provide guidance, Assist in creation of frameworks, Assist in management of frameworks, Assist in creation of audits, Assist in management of audits, Provide pragmatic legal advice, Provide business-oriented legal advice", "teamCollaboration" : "Partner with Product teams; Partner with Engineering teams; Partner with R&D teams; Partner with Business Operations teams; Partner with Go-To-Market teams", "domainKnowledge" : "AI; ML technologies; GDPR; Privacy frameworks; Biometric data processing; Automated decision-making; Generative AI", "domainList" : [ "ai", "ml-technologies", "gdpr", "privacy-frameworks", "biometric-data-processing", "automated-decision-making", "generative-ai" ], "domainSpecificKnowledge" : [ "AI", "ML technologies", "GDPR", "Privacy frameworks", "Biometric data processing", "Automated decision-making", "Generative AI" ], "communicationSkills" : "Written communication; Clear messages; Concise messages", "documentationSkills" : "Draft guidance; Draft playbooks", "qualificationsBasic" : "Law degree, Qualified to practice in-house, 7+ years post-qualification experience, 5+ years advising on SaaS product legal, Understanding of AI/ML technologies, Understanding of GDPR, Comfortable working with technical teams, Excellent written communication skills, Proven ability to manage competing priorities, Work autonomously in fast-paced environment", "qualificationsPreferred" : "Prior generative AI experience preferred, Experience with biometric data processing a plus, Experience with automated decision-making a plus", "remoteFriendly" : true, "rawDescription" : "Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. As a Product & Privacy Counsel at Synthesia, you’ll partner closely with Product, Engineering, R&D, Business Operations, and Go-To-Market teams to help bring innovative AI products to market responsibly. Reporting to the Head of Product & Privacy Legal, you’ll play a key role in navigating complex legal and regulatory issues, balancing risk with business objectives, and helping the company scale with confidence. In this role you will: - Partner with Product, Engineering, and R&D teams across the entire product lifecycle to identify and address legal risks in areas including AI, IP, privacy, security, open source, and marketing. - Support commercialization efforts by advising Go-To-Market and Business Operations teams on product positioning, licensing models, and regulatory issues. - Monitor and interpret evolving laws related to AI, privacy, IP, and competition to ensure proactive compliance and business alignment. - Draft and maintain scalable processes, playbooks, and guidance to support consistent legal input across teams. - Assist in creation and management of privacy, security and AI governance frameworks and audits. - Operate independently and provide pragmatic, business-oriented legal advice that aligns with Synthesia’s risk appetite and goals. YOU’RE A GREAT FIT FOR THE ROLE IF YOU HAVE: - Law degree and qualified to practice in-house in a relevant jurisdiction. - 7+ years of post-qualification experience, including 5+ advising on SaaS product legal issues; prior exposure to generative AI preferred. - Strong understanding of AI/ML technologies and related legal issues (e.g., IP, privacy, algorithmic accountability). - Strong understanding of GDPR and other major privacy frameworks, experience with biometric data processing or automated decision-making is a plus. - Comfortable working with technical teams and translating legal risk into actionable guidance. - Excellent written communication skills with the ability to draft clear, concise messages for cross-functional audiences. - Proven ability to manage competing priorities and work autonomously in a fast-paced environment.", "summaryDescription" : "Product & Privacy Counsel at Synthesia. Skills: Product counsel, AI legal, Privacy law, SaaS product legal. Identify legal risks. 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This Executive Assistant will be responsible for handling confidential information and maintaining professionalism in dealing with senior executives. Role responsibilities include managing multiple complex calendars, planning and organizing events of all sizes, and coordinating domestic and international travel. A successful candidate will help build a positive team environment and establish working relationships inside and outside of the group. Basic Qualifications: - 5+ years of senior level leadership support, or 3+ years of Amazon experience - High school or equivalent diploma - Experience with Microsoft Office products and applications - Knowledge of Microsoft Office products and applications Preferred Qualifications: - Experience leading process improvements - Experience in a fast-paced, high-tech company - Experience designing processes to maximize efficiency Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $66,800/year in our lowest geographic market up to $142,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Executive Assistant, Artificial General Intelligence at Amazon.com Services LLC", "postedDate" : "2026-06-14T19:48:07.192", "createdAt" : "2026-06-14T19:48:07.192", "lastUpdated" : "2026-06-16T04:27:03.284", "ingestTimestamp" : "2026-06-14T19:48:07.192", "mongoId" : "68c2e437f8b1b0376634c88c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3072562/apply", "salaryAnnualMin" : 66800, "salaryAnnualMax" : 142800, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a308f14f292fd229c0a7f04", "title" : "Associate General Counsel (Product and Research)", "company" : "Deepgram", "industry" : "G&A", "salary" : { "min" : 200000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "USA | Remote", "locations" : [ "USA | Remote" ], "timestamp" : "2026-06-16T11:03:47.611", "fingerprint" : "f69243e86bbaa7130b46cd57747b49690135a9aeeb5b693933948c3c2ef1262b", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/deepgram/c819e26b-28a4-4373-b50f-272224e36f80/application", "externalId" : "c819e26b-28a4-4373-b50f-272224e36f80", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Legal analysis", "Risk management", "Compliance oversight", "Regulatory requirements" ], "majorSkills" : "Legal compliance, Product law, Research law", "majorSkillsList" : [ "Legal compliance", "Product law", "Research law" ], "coreResponsibilities" : "Provide legal counsel, Support product development, Advise on research initiatives, Ensure regulatory compliance, Manage legal risks, Draft and review agreements, Conduct legal research, Assist with litigation", "teamCollaboration" : "Product teams; Research teams; Engineering teams; Cross-functional teams", "domainKnowledge" : "Product law; Research law; Data privacy; Intellectual property; Contract law; Regulatory compliance", "domainList" : [ "product-law", "research-law", "data-privacy", "intellectual-property", "contract-law", "regulatory-compliance" ], "domainSpecificKnowledge" : [ "Product law", "Research law", "Data privacy", "Intellectual property", "Contract law", "Regulatory compliance" ], "communicationSkills" : "Legal advice; Contract negotiation", "documentationSkills" : "Legal documents; Contracts", "problemSolvingSkills" : "Legal problem solving", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "COMPANY OVERVIEW Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. COMPANY OPERATING RHYTHM At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. OPPORTUNITY We're looking for an exceptional lawyer to join our lean, high-impact legal team and lead legal work across our models and the products built on them. This role is for someone who thrives at the intersection of law and model development — a builder with sharp instincts and sound judgment who is steady under ambiguity and fluent in product. Our legal team has a real seat at the table. You'll partner with our research and data teams on the novel legal questions inside model development, and advise our product teams on the experiences we put in front of users. You'll help Deepgram move at the speed of an ambitious voice AI company while keeping pace with the AI legal frameworks coming online internationally. Many of the questions in our space don't have settled answers yet. That's the best part of the job. You'll think them through from first principles, design the frameworks that let us scale, and help Deepgram continue to earn its place as the trusted leader in voice AI. This role is ideal for someone with genuine conviction that voice is the most consequential interface with AI, and who wants to spend the next phase of their career on the legal questions that will define it. You'll be the third lawyer on our team, reporting directly to our General Counsel and helping establish a legal function that scales with a company on a steep trajectory, using AI as your default mode of working to set the standard for what AI-native legal work looks like. What You’ll Do - Be the go-to counsel for our data and research teams on the legal questions inside model development, and design the frameworks that let research move fast with confidence - Partner with our product teams to ship products and features that delight our users. - Draft and review the consumer-facing terms, policies, disclosures, and marketing that go with our products — written for customers, not lawyers - Continue building out our privacy program — and tell its story to customers — to deepen customer trust in our products - Stay ahead of the AI legal frameworks developing internationally, translate developments into principles and policies our teams can act on, and help Deepgram develop a clear point of view on responsible AI development - Develop deep expertise across the legal questions defining AI today, and help advance how our company, and the broader field, thinks about them - Build the AI-native legal function at Deepgram with workflows and systems that scale our team’s impact You'll Love This Role If You - Are passionate about AI and the ability to work alongside cutting-edge researchers and engineering teams - Get energized by being the first — building systems from scratch, establishing foundational practices, and turning novel legal questions into ones with answers - Are very practical in addressing legal issues and allergic to unnecessary friction - Have an abiding spirit of idealism about your chosen profession — you're not just answering legal questions, you're building something that matters - Have a point of view on what good lawyering looks like and a healthy sense of humor about everything else It's Important To Us That You Have - JD from a U.S. accredited law school and 7–15 years of experience in legal practice (or more), in-house, at a firm, or both - Demonstrated experience counseling product, research, or engineering teams on the legal questions that come up in how AI gets built and deployed - Fluency in the issues that matter most to us: privacy, IP, data licensing, consumer protection, and the international AI regulatory landscape. Depth in some, excited to learn the rest - Recognize that law is about the grey areas, and are comfortable living in them, while giving clear and actionable advice - An AI-native legal practice — workflows you've built into your own work, not just tools you've used - Exceptional writing — precise, plain, and compelling It Would Be Great If You Had - Hands-on experience at a foundation model company or AI research lab — you've seen how legal questions actually arise inside model development - Depth in one or more emerging AI regulatory regimes (EU AI Act, US states, UK, APAC) We read cover letters! If you want to stand out: Tell us about a novel legal question you worked through without a playbook — how you reasoned through it and where you landed. BENEFITS & PERKS* HOLISTIC HEALTH - Medical, dental, vision benefits - Annual wellness stipend - Mental health support - Life, STD, LTD Income Insurance Plans WORK/LIFE BLEND - Unlimited PTO - Parental leave - Flexible schedule - 12 Paid US company holidays - Quarterly personal productivity stipend - One-time stipend for home office upgrades - 401(k) plan with company match - Tax Savings Programs CONTINUOUS LEARNING - Learning / Education stipend - Participation in talks and conferences - Employee Resource Groups - AI enablement workshops / sessions *For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible. Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you! Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.", "summaryDescription" : "Associate General Counsel (Product and Research) at Deepgram. Skills: Legal compliance, Product law, Research law. Provide legal counsel. 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Headquarters 1 (HCA_HQ1)
3161 Michelson Dr. Ste 1900
Irvine, 92612

" ], "certifications" : [ "CIPP certification" ], "timestamp" : "2026-06-16T04:34:30.595", "fingerprint" : "1c545b2ff0c1e48bc47070ceedc0474c6fced0e1176e157958da978fec0bbf38", "source" : "taleo", "language" : "en", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=114963", "externalId" : "114963", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Legal analysis", "Risk management", "Compliance oversight" ], "majorSkills" : "Privacy law, Data protection, Legal advisory", "majorSkillsList" : [ "Privacy law", "Data protection", "Legal advisory" ], "coreResponsibilities" : "Advise on privacy laws, Develop privacy policies, Conduct privacy risk assessments, Ensure compliance with regulations, Support data protection initiatives, Manage legal aspects of data processing, Advise on legal and regulatory requirements, Provide legal guidance on advisory matters", "teamCollaboration" : "Cross-functional teams; Business stakeholders", "domainKnowledge" : "Privacy laws; Data protection regulations; Consumer protection laws; Financial regulations", "domainList" : [ "privacy-laws", "data-protection-regulations", "consumer-protection-laws", "financial-regulations" ], "domainSpecificKnowledge" : [ "Privacy laws", "Data protection regulations", "Consumer protection laws", "Financial regulations" ], "communicationSkills" : "Legal advice; Policy development", "documentationSkills" : "Privacy policies; Legal documentation", "problemSolvingSkills" : "Legal analysis; Risk assessment", "qualificationsBasic" : "Juris Doctor degree, Admission to a state bar, 5+ years of legal experience, Experience in privacy law, Experience with data protection regulations", "qualificationsPreferred" : "Experience in the automotive or financial services industry, CIPP certification", "remoteFriendly" : false, "rawDescription" : "Who We Are Through our service brands Hyundai Motor Finance, Genesis Finance, and Kia Finance, Hyundai Capital America offers a wide range of financial products tailored to meet the needs of Hyundai, Genesis, and Kia customers and dealerships. We provide vehicle financing, leasing, subscription, and insurance solutions to over 3 million consumers and businesses. Embodying our commitment to grow, innovate, and diversify, we strive to reimagine the customer and dealer experience and launch innovative new products that broaden our market reach. We believe that success comes from within and are proud to support our team members through skill development and career advancement. Hyundai Capital America is an Equal Opportunity Employer committed to creating a diverse and inclusive culture for our workforce. We are a values-driven company dedicated to supporting both internal and external communities through volunteering, philanthropy, and the empowerment of our Employee Resource Groups. Together, we strive to be the leader in financing freedom of movement. We Take Care of Our People Along with competitive pay, as an employee of HCA, you are eligible for: · Medical, dental, and vision plans with no-cost and low-cost options · Annual employer HSA contribution · 401(k) matching and immediate vesting · Vehicle purchase and lease discounts, plus monthly vehicle allowances by job level: o Associate / Sr. Associate: $350 o Manager / Sr. Manager: $600 o Director: $800 o Executive Director: $900 o VP or Above: $1,000 · 100% employer-paid life and disability insurance · No-cost health and wellbeing programs, including a gym benefit · Six weeks of paid parental leave · Paid Volunteer Time Off, plus a company donation to a charity of your choice What to Expect The Senior Counsel, Privacy and Advisory will provide strategic, practical, and actionable legal guidance across the Company’s business lines—including the core consumer finance business, vehicle voluntary protection products business, and emerging mobility business—and oversees legal compliance for marketing activities, including advertising practices, digital marketing, consumer and dealer communications, and compliance with applicable marketing laws and industry standards. This role advises on federal and state privacy, information security, and advertising/consumer protection laws and requirements applicable to the Company’s operations. The role also designs, implements, maintains, and continuously improves the Company’s enterprise privacy framework, including privacy-related policies, procedures, standards, and governance processes. In addition, the Senior Counsel leads and manages other attorneys and privacy and records management governance professionals. As a key advisor to senior stakeholders, this role provides counsel on privacy risk, regulatory developments, and privacy by design principles, and supports product, technology, and business initiatives through effective privacy governance. Employees in this role should expect to work on site Monday through Thursday and remotely on Fridays. . What You Will Do 1. Act as the Company’s primary privacy SME, providing legal and strategic guidance to business, technology, product, and operations teams to ensure compliance with applicable privacy, data protection, information security and consumer protection/advertising laws. Oversee legal review of all external communications to consumers, customers and dealers. 2. Own, implement, and maintain the Company’s enterprise privacy framework, including privacy policies, standards, procedures, governance models, and internal guidance. Lead updates to the privacy framework in response to regulatory developments, enforcement trends, and evolving business practices. Oversee privacy related documentation, recordkeeping, and reporting. 3. Act as primary liaison with Company’s affiliates in various data sharing, privacy, and marketing-related initiatives. Support new and existing third-party contract negotiations to identify and address privacy, data protection, information security and records management requirements. 4. Lead, mentor, and develop team members by providing direction, performance feedback, and support to ensure effective collaboration, professional growth, and achievement of organizational and personal goals. What You Will Bring · Minimum 8 years of relevant legal experience in providing legal and strategic guidance on product and process development, with a focus on privacy, information security and advertising/consumer protection. · Minimum 3 years supervisory experience. · In-house legal experience preferred. · Consumer financial services or automobile finance experience. · Juris Doctor Degree; member in good standing of a state bar (CA preferred). · CIPP certification a plus. · Broad-based experience and knowledge in privacy and information security laws and experience in providing practical and actional guidance in product development and process changes. · Willingness to undertake substantial and diverse job responsibilities. · Ability to work independently and as part of legal and business teams. · Ability to effectively manage team members to ensure performance and alignment with Company objectives. · Ability to quickly pivot to changing business priorities. · Willingness to explore and identify creative alternative solutions to facilitate business initiatives. · Broad-based knowledge of privacy laws and regulations, both financial services-related and general consumer protection. · Broad-based knowledge of consumer financial services. · Attention to detail and follow through. · Ability to communicate in clear and concise manner; ability to communicate complex legal issues in laymen’s terms to all levels of the organization. · Ability to research in a thorough and effective manner and to analyze and distill complex legal requirements into a usable and practical framework. · Ability to multi-task under tight deadlines and manage competing priorities in a fast-paced environment. · Proficient in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook). · Ability to successfully manage, train, develop and mentor direct reports. · Strong written and verbal communication skills. · Strong interpersonal skills to work in a team environment and build relationships with internal and external stakeholders. Work Environment Employees in this class are subject to extended periods of sitting, standing, and walking, vision to monitor and moderate noise levels. Work is performed in an at home and office environment. The posted salary range for this job takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; geographic location, and other business and organizational needs. Successful candidates may be hired anywhere in the salary range based on these factors. It is uncommon to hire candidates at or near the top of the range. California Privacy Notice This notice only applies to our applicants who reside in the State of California. The latest version of our Privacy Policy can be found here . This Privacy Policy provides you with notice, at or before the point of collection, about the categories of personal information to be collected from you, the purposes for which your personal information is collected or used, and whether that information is sold or shared, so that you can exercise meaningful control over our use of your personal information. We are providing this notice to comply with the California Consumer Privacy Act of 2018, as amended as amended by the California Privacy Rights Act of 2020 (“CCPA”). If you have any questions about CCPA regarding California residents or HCA team members, please contact the Privacy Team at Privacy2@hcs.com . United States-California-Irvine", "summaryDescription" : "Senior Counsel, Privacy and Advisory at Hyundai Capital America. Skills: Privacy law, Data protection, Legal advisory. Advise on privacy laws. 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Key job responsibilities As an Applied Scientist with the AGI team, you will work with talented peers to lead the development of algorithms and modeling techniques, to advance the state of the art with LLMs. Your work will directly impact our customers in the form of products and services that make use of GenAI technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in LLMs. About the team The AGI team has a mission to push the envelope in GenAI with LLMs and multimodal systems, in order to provide the best-possible experience for our customers. Basic Qualifications: - 1+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF Preferred Qualifications: - PhD in Computer Science, Electrical Engineering, Mathematics or related field - Strong experience with Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs) - Experience with patents or publications at top-tier peer-reviewed conferences or journals - Experience with popular deep learning frameworks, including PyTorch Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist, Artificial General Intelligence at Amazon.com Services LLC. Skills: Deep learning, Generative AI, Large Language Models. Lead algorithm development. Lead modeling technique development", "postedDate" : "2026-06-13T16:54:53.665", "createdAt" : "2026-06-13T16:54:53.665", "lastUpdated" : "2026-06-15T06:37:49.300", "ingestTimestamp" : "2026-06-13T16:54:53.665", "mongoId" : "68e0a7e3ce260f92cbf8eab4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3100271/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 223400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Algorithm development", "Model development", "Inventive", "Deep learning", "Generative AI", "Large Language Models", "Multimodal systems", "Generative Artificial Intelligence", "PyTorch" ], "skillCount" : 9, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "68e0a7e2ce260f92cbf8e967", "title" : "Language Engineer, Artificial General Intelligence", "company" : "Amazon.com Services LLC", "industry" : "Data Science, Language Engineer, alexa and amazon devices", "salary" : { "min" : 67700.0, "max" : 151400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, Massachusetts, USA", "locations" : [ "Boston, Massachusetts, USA" ], "timestamp" : "2026-06-15T02:23:40.890", "fingerprint" : "87f4943cdc926a95b23f69547698591e2c2a59b04599b84115d3aae146e451b0", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3099797/apply", "externalId" : "d590ac8f-86d5-419e-ae9d-0258bdacefbd", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 2, "technicalSkills" : "Python, SQL, R, Matlab", "professionalSkills" : [ "Computational linguistics", "Language data processing", "AI data creation", "Multimodal datasets", "Synthetic data generation", "Model-supported data generation", "Human-in-the-loop data collections", "AI models" ], "hardSkillsList" : [ "Data annotation", "Data markup", "Data analysis", "Data creation" ], "softSkillsList" : [ "Creativity" ], "hardSkills" : [ { "name" : "Data annotation", "level" : "intermediate" }, { "name" : "Data markup", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data creation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Creativity" } ], "majorSkills" : "Language data processing, AI data creation, Multimodal data", "majorSkillsList" : [ "Language data processing", "AI data creation", "Multimodal data" ], "coreResponsibilities" : "Design complex data collections, Author instructions, Define quality targets, Implement quality mechanisms, Coordinate data collection efforts, Plan data collection, Schedule data collection, Report data collection, Be responsible for final deliverables, Design data creation tasks, Conduct data creation tasks, Analyze data, Extract insights from data, Build tools for data analysis, Build tools for data creation, Use modeling tools, Bootstrap AI functionalities, Test AI functionalities, Collaborate with scientists, Collaborate with software engineers, Collaborate with data creators, Evaluate performance of AI models", "teamCollaboration" : "Cross-functional teams; Product managers; Engineers; Data scientists; Scientists; Software engineers; Data creators", "projectManagementSkills" : [ "Agile development" ], "domainKnowledge" : "Artificial General Intelligence; Computational Linguistics; Language data processing; AI data creation; Speech data; Text data; Multimodal data; Agentic workflows", "domainList" : [ "artificial-general-intelligence", "computational-linguistics", "language-data-processing", "ai-data-creation", "speech-data", "text-data", "multimodal-data", "agentic-workflows" ], "domainSpecificKnowledge" : [ "Artificial General Intelligence", "Computational Linguistics", "Language data processing", "AI data creation", "Speech data", "Text data", "Multimodal data", "Agentic workflows" ], "toolProficiency" : [ "APIs" ], "communicationSkills" : "Communication skills", "innovationCreativity" : "Driving innovation; Advancing state-of-the-art", "problemSolvingSkills" : "Problem solving skills", "qualificationsBasic" : "Master's or higher degree, 2+ years experience, Experience with language data annotation, Proficient with scripting languages, Experience with speech, text, and multimodal data, Excellent communication skills, Excellent organizational skills, Very detailed oriented", "qualificationsPreferred" : "PhD in Computational Linguistics, Expertise in bootstrapping AI data collections, Extensive experience with speech, text, and multimodal data, Experience in data creation for complex agentic workflows, Practical experience with Machine Learning, Familiarity with technical concepts such as APIs, Practical knowledge of version control, Practical knowledge of agile development, Familiarity with database queries, Familiarity with data analysis processes, Willingness to support several projects, Able to think creatively, Possess analytical skills, Possess problem solving skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Amazon Artificial General Intelligence (AGI) Data Services organization is responsible for developing diverse datasets to train and evaluate the Amazon AI models. We are looking for Language Engineers to join our science and engineering team to support the development of complex, multimodal datasets, using a range of approaches including synthetic data generation, model-supported data generation, and human-in-the-loop data collections. You will play a critical role in driving innovation and advancing the state-of-the-art in evaluating and training AI models. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are best in class. Key job responsibilities - Design complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables - Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state-of-the-art approaches - Analyze and extract insights from large amounts of data - Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language - Use modeling tools to bootstrap or test new AI functionalities - Collaborate with scientists, software engineers, and other data creators to evaluate performance of AI models About the team Amazon strives to be the world’s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our customers, that enables them to build advanced ML models. Basic Qualifications: - Master's or higher degree in a relevant field (Computational Linguistics or equivalent field with computational analysis) - 2+ years experience in computational linguistics or language data processing or AI data creation - Experience with language data annotation systems and other forms of data markup - Proficient with scripting languages, such as Python - Experience working with speech, text, and multimodal data in multiple languages - Excellent communication, strong organizational skills and very detailed oriented - Comfortable working in a fast paced, highly collaborative, dynamic work environment Preferred Qualifications: - PhD in Computational Linguistics (or equivalent field with computational emphasis) - Expertise in bootstrapping AI data collections for quickly evolving requirements - Extensive experience working with speech, text, and multimodal data in multiple languages - Experience in data creation for complex agentic workflows - Practical experience with Machine Learning - Familiarity with technical concepts such as APIs - Practical knowledge of version control and agile development - Familiarity with database queries and data analysis processes (SQL, R, Matlab, etc.) - Willingness to support several projects at one time, and to accept reprioritization as necessary - Able to think creatively and possess strong analytical and problem solving skills Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $67,700/year in our lowest geographic market up to $151,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Language Engineer, Artificial General Intelligence at Amazon.com Services LLC. Skills: Language data processing, AI data creation, Multimodal data. Design complex data collections. Author instructions", "postedDate" : "2026-06-13T15:54:30.882", "createdAt" : "2026-06-13T15:54:30.882", "lastUpdated" : "2026-06-15T02:23:40.890", "ingestTimestamp" : "2026-06-13T15:54:30.882", "mongoId" : "68e0a7e2ce260f92cbf8e967", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3099797/apply", "salaryAnnualMin" : 67700, "salaryAnnualMax" : 151400, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Data annotation", "Data markup", "Data analysis", "Data creation", "Creativity", "Language data processing", "AI data creation", "Multimodal data", "Computational linguistics", "Multimodal datasets", "Synthetic data generation", "Model-supported data generation", "Human-in-the-loop data collections", "AI models", "Agile development", "Artificial General Intelligence", "Computational Linguistics", "Speech data", "Text data", "Agentic workflows", "APIs" ], "skillCount" : 21, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "68ed10ae70f0b99d58e7bd09", "title" : "Applied Scientist, Artificial General Intelligence", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Artificial Intelligence", "salary" : { "min" : 136000.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T04:02:07.871", "fingerprint" : "eea135e9a3034b4f50dc5eb1dffb09123411ca069f0eb3cd8550054a5748f661", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3104517/apply", "externalId" : "5cffe215-fb23-42a6-9c08-93399088cfe1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 1, "technicalSkills" : "Java, C++, Python, CNNs, GANs, VAEs, PyTorch", "professionalSkills" : [ "Model architecture", "Optimization methods", "Curriculum design", "Hyperparameter search", "Self-supervised learning", "Reinforcement learning", "Distributed training" ], "hardSkillsList" : [ "Deep learning", "Generative AI", "Large Language Models" ], "softSkillsList" : [ "Inventive" ], "hardSkills" : [ { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "Generative AI", "level" : "intermediate" }, { "name" : "Large Language Models", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Inventive" } ], "majorSkills" : "Generative AI, Large Language Models, Deep learning", "majorSkillsList" : [ "Generative AI", "Large Language Models", "Deep learning" ], "coreResponsibilities" : "Work on pre-training methodologies, Interact with customers, Interact with academic communities, Work on scaling laws, Work on hardware-informed model architecture, Work on low-precision training, Work on optimization methods, Work on learning objectives, Work on curriculum design, Work on deep learning theories, Work on efficient hyperparameter search, Work on self-supervised learning, Work on learning objectives, Work on reinforcement learning methods, Work on distributed training methods, Work on distributed training solutions, Work on AI-assisted research", "teamCollaboration" : "Integral part of a team", "domainKnowledge" : "Generative Artificial Intelligence; Large Language Models; Multimodal systems", "domainList" : [ "generative-artificial-intelligence", "large-language-models", "multimodal-systems" ], "domainSpecificKnowledge" : [ "Generative Artificial Intelligence", "Large Language Models", "Multimodal systems" ], "toolProficiency" : [ "PyTorch" ], "innovationCreativity" : "Inventive", "qualificationsBasic" : "Master's degree and 4+ years experience, 1+ years building models, Experience programming in Java, C++, Python, Experience with generative deep learning models", "qualificationsPreferred" : "PhD in Computer Science, Electrical Engineering, Mathematics, Experience with Generative Artificial Intelligence (GenAI) technologies, Experience with Large Language Models (LLMs), Experience with patents or publications, Experience with popular deep learning frameworks", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist to work on pre-training methodologies for Generative Artificial Intelligence (GenAI) models. You will interact closely with our customers and with the academic and research communities. Key job responsibilities Join us to work as an integral part of a team that has experience with GenAI models in this space. We work on these areas: - Scaling laws - Hardware-informed efficient model architecture, low-precision training - Optimization methods, learning objectives, curriculum design - Deep learning theories on efficient hyperparameter search and self-supervised learning - Learning objectives and reinforcement learning methods - Distributed training methods and solutions - AI-assisted research About the team The AGI team has a mission to push the envelope in GenAI with Large Language Models (LLMs) and multimodal systems, in order to provide the best-possible experience for our customers. Basic Qualifications: - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - 1+ years of building models for business application experience - Experience programming in Java, C++, Python or related language - Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF Preferred Qualifications: - PhD in Computer Science, Electrical Engineering, Mathematics or related field - Strong experience with Generative Artificial Intelligence (GenAI) technologies and Large Language Models (LLMs) - Experience with patents or publications at top-tier peer-reviewed conferences or journals - Experience with popular deep learning frameworks, including PyTorch Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist, Artificial General Intelligence at Amazon.com Services LLC. Skills: Generative AI, Large Language Models, Deep learning. Work on pre-training methodologies. Interact with customers", "postedDate" : "2026-06-13T14:29:45.139", "createdAt" : "2026-06-13T14:29:45.139", "lastUpdated" : "2026-06-15T04:02:07.871", "ingestTimestamp" : "2026-06-13T14:29:45.139", "mongoId" : "68ed10ae70f0b99d58e7bd09", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3104517/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 223400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Deep learning", "Generative AI", "Large Language Models", "Inventive", "Model architecture", "Optimization methods", "Curriculum design", "Hyperparameter search", "Self-supervised learning", "Reinforcement learning", "Distributed training", "Generative Artificial Intelligence", "Multimodal systems", "PyTorch" ], "skillCount" : 14, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "68c2e41bf8b1b0376634c3e2", "title" : "Applied Scientist, Artificial General Intelligence", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Artificial Intelligence", "salary" : { "min" : 136000.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T07:48:53.975", "fingerprint" : "60b91b6633458382f5e994a2bf7de36b179a0afb684b36a98aacea4f695522fb", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3078798/apply", "externalId" : "687a54a7-26f8-408b-9011-5a77aa8a6957", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 1, "technicalSkills" : "Java, C++, Python, CNNs, GANs, VAEs, NF, PyTorch", "professionalSkills" : [ "System architecture", "Quality infrastructure" ], "hardSkillsList" : [ "Generative deep learning" ], "hardSkills" : [ { "name" : "Generative deep learning", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Large Language Models, Multimodal systems", "majorSkillsList" : [ "Generative AI", "Large Language Models", "Multimodal systems" ], "coreResponsibilities" : "Support development of novel algorithms, Advance the state of the art, Impact customers, Leverage data sources, Accelerate development, Scale pre-training workflows, Scale post-training workflows, Build efficient models, Support system architecture, Support best practices, Enable quality infrastructure, Investigate design approaches, Prototype new technology, Prototype scientific techniques, Evaluate technical feasibility, Deliver results independently, Embrace new scientific advances, Adapt new scientific advances", "teamCollaboration" : "Integral part of team; Work with other team members; Self-organizing Agile environment", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Generative Artificial Intelligence; Large Language Models; Multimodal systems", "domainList" : [ "generative-artificial-intelligence", "large-language-models", "multimodal-systems" ], "domainSpecificKnowledge" : [ "Generative Artificial Intelligence", "Large Language Models", "Multimodal systems" ], "innovationCreativity" : "Inventive Applied Scientist", "problemSolvingSkills" : "Investigate design approaches; Evaluate technical feasibility", "qualificationsBasic" : "Master's degree and 4+ years experience, 1+ years building models, Experience programming Java, C++, Python, Experience generative deep learning models", "qualificationsPreferred" : "PhD in Computer Science, Electrical Engineering, Mathematics, Experience with Generative Artificial Intelligence (GenAI) technologies, Experience with Large Language Models (LLMs), Experience with patents or publications, Experience with popular deep learning frameworks", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist to work on methodologies for Generative Artificial Intelligence (GenAI) models. As an Applied Scientist, you will be responsible for supporting the development of novel algorithms and modeling techniques to advance the state of the art. Your work will directly impact our customers and will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multi-modal Large Language Models (LLMs) and GenAI. You will have significant influence on our overall strategy by working at the intersection of engineering and applied science to scale pre-training and post-training workflows and build efficient models. You will support the system architecture and the best practices that enable a quality infrastructure. Key job responsibilities Join us to work as an integral part of a team that has experience with GenAI models in this space. We work on these areas: - Pre-training and post-training multimodal LLMs - Scale training, optimization methods, and learning objectives - Utilize, build, and extend upon industry-leading frameworks - Work with other team members to investigate design approaches, prototype new technology, scientific techniques and evaluate technical feasibility - Deliver results independently in a self-organizing Agile environment while constantly embracing and adapting new scientific advances About the team The AGI team has a mission to push the envelope in GenAI with Large Language Models (LLMs) and multimodal systems, in order to provide the best-possible experience for our customers. Basic Qualifications: - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - 1+ years of building models for business application experience - Experience programming in Java, C++, Python or related language - Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF Preferred Qualifications: - PhD in Computer Science, Electrical Engineering, Mathematics or related field - Strong experience with Generative Artificial Intelligence (GenAI) technologies and Large Language Models (LLMs) - Experience with patents or publications at top-tier peer-reviewed conferences or journals - Experience with popular deep learning frameworks, including PyTorch Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist, Artificial General Intelligence at Amazon.com Services LLC. Skills: Generative AI, Large Language Models, Multimodal systems. Support development of novel algorithms. Advance the state of the art", "postedDate" : "2026-06-13T11:49:17.083", "createdAt" : "2026-06-13T11:49:17.083", "lastUpdated" : "2026-06-15T07:48:53.975", "ingestTimestamp" : "2026-06-13T11:49:17.083", "mongoId" : "68c2e41bf8b1b0376634c3e2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3078798/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 223400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Generative deep learning", "Generative AI", "Large Language Models", "Multimodal systems", "System architecture", "Quality infrastructure", "Agile", "Generative Artificial Intelligence" ], "skillCount" : 8, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "693c2b8370f0b99d5843f933", "title" : "Language Engineer, Artificial General Intelligence", "company" : "ADCI HYD 16 SEZ", "industry" : "Data Science, Language Engineer, Artificial Intelligence", "salary" : { "min" : 1150000.0, "max" : 1750000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Language Engineer in Hyderabad, India, adjusted for the technology industry and company size." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T04:44:15.203", "fingerprint" : "9ee57bf3def23b00c837897327e3e7fb68128cd3b41dae6062321d83ab294783", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3138315/apply", "externalId" : "ba6a1ad2-574b-4283-8f64-1cf9271a1237", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 2, "technicalSkills" : "Python, APIs, SQL, R, Matlab", "professionalSkills" : [ "Computational linguistics", "Language data processing", "AI data creation", "Data annotation", "Data markup", "Synthetic data generation", "Model-based data generation", "Human-in-the-loop data collections", "Multimodal datasets" ], "hardSkillsList" : [ "Language data annotation", "Data markup", "Scripting languages", "Speech data processing", "Text data processing", "Multimodal data processing", "Database queries", "Data analysis" ], "softSkillsList" : [ "Critical thinking", "Problem solving" ], "hardSkills" : [ { "name" : "Language data annotation", "level" : "intermediate" }, { "name" : "Data markup", "level" : "intermediate" }, { "name" : "Scripting languages", "level" : "intermediate" }, { "name" : "Speech data processing", "level" : "intermediate" }, { "name" : "Text data processing", "level" : "intermediate" }, { "name" : "Multimodal data processing", "level" : "intermediate" }, { "name" : "Database queries", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" }, { "name" : "Problem solving" } ], "majorSkills" : "Language Engineering, Data Services, AI Model Training, Dataset Development", "majorSkillsList" : [ "Language Engineering", "Data Services", "AI Model Training", "Dataset Development" ], "coreResponsibilities" : "Design complex data collections, Author instructions, Define quality targets, Implement quality mechanisms, Coordinate data collection efforts, Plan data collection, Schedule data collection, Report on data collection, Be responsible for final deliverables, Design data creation tasks, Conduct data creation tasks, Use synthetic data generation methods, Use model-based data generation methods, Analyze data, Extract insights from data, Build tools for data analysis, Build tools for data creation, Use modeling tools, Bootstrap AI functionalities, Test AI functionalities, Collaborate with scientists, Collaborate with software engineers, Collaborate with data creators, Evaluate performance of AI models", "teamCollaboration" : "Cross-functional teams; Product managers; Engineers; Data scientists", "projectManagementSkills" : [ "Agile development" ], "domainKnowledge" : "Computational Linguistics; Language data processing; AI data creation; Speech data; Text data; Multimodal data; Agentic workflows; Machine Learning", "domainList" : [ "computational-linguistics", "language-data-processing", "ai-data-creation", "speech-data", "text-data", "multimodal-data", "agentic-workflows", "machine-learning" ], "domainSpecificKnowledge" : [ "Computational Linguistics", "Language data processing", "AI data creation", "Speech data", "Text data", "Multimodal data", "Agentic workflows", "Machine Learning" ], "toolProficiency" : [ "Python", "APIs", "SQL", "R", "Matlab", "Version control", "Agile development" ], "communicationSkills" : "Excellent communication", "innovationCreativity" : "Driving innovation; Advancing state-of-the-art", "problemSolvingSkills" : "Problem solving skills", "qualificationsBasic" : "Master's or higher degree, 2+ years experience, language data processing experience, AI data creation experience, Experience with language data annotation systems, Experience with data markup, Proficient with scripting languages, Experience working with speech data, Experience working with text data, Experience working with multimodal data, Experience in multiple languages, Excellent communication skills, Excellent organizational skills, Very detailed oriented", "qualificationsPreferred" : "PhD in Computational Linguistics, Expertise in bootstrapping AI data collections, Extensive experience working with speech data, Extensive experience working with text data, Extensive experience working with multimodal data, Extensive experience in multiple languages, Experience in data creation for complex agentic workflows, Practical experience with Machine Learning, Familiarity with technical concepts, Practical knowledge of version control, Practical knowledge of agile development, Familiarity with database queries, Familiarity with data analysis processes, Willingness to support several projects, Willingness to accept reprioritization, Able to think creatively, Possess analytical skills, Possess problem solving skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Amazon Artificial General Intelligence (AGI) Data Services organization is responsible for developing diverse datasets to train and evaluate the Amazon AI models. We are looking for Language Engineers to join our science and engineering team to support the development of complex, multimodal datasets, using a range of approaches including synthetic data generation, model-supported data generation, and human-in-the-loop data collections. You will play a critical role in driving innovation and advancing the state-of-the-art in evaluating and training AI models. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are best in class. Key job responsibilities - Design complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables - Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state-of-the-art approaches - Analyze and extract insights from large amounts of data - Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language - Use modeling tools to bootstrap or test new AI functionalities - Collaborate with scientists, software engineers, and other data creators to evaluate performance of AI models About the team Amazon strives to be the world’s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our customers, that enables them to build advanced ML models. Basic Qualifications: - Master's or higher degree in a relevant field (Computational Linguistics or equivalent field with computational analysis) - 2+ years experience in computational linguistics or language data processing or AI data creation - Experience with language data annotation systems and other forms of data markup - Proficient with scripting languages, such as Python - Experience working with speech, text, and multimodal data in multiple languages - Excellent communication, strong organizational skills and very detailed oriented - Comfortable working in a fast paced, highly collaborative, dynamic work environment Preferred Qualifications: - PhD in Computational Linguistics (or equivalent field with computational emphasis) - Expertise in bootstrapping AI data collections for quickly evolving requirements - Extensive experience working with speech, text, and multimodal data in multiple languages - Experience in data creation for complex agentic workflows - Practical experience with Machine Learning - Familiarity with technical concepts such as APIs - Practical knowledge of version control and agile development - Familiarity with database queries and data analysis processes (SQL, R, Matlab, etc.) - Willingness to support several projects at one time, and to accept reprioritization as necessary - Able to think creatively and possess strong analytical and problem solving skills Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Language Engineer, Artificial General Intelligence at ADCI HYD 16 SEZ. Skills: Language Engineering, Data Services, AI Model Training, Dataset Development. Design complex data collections. Author instructions", "postedDate" : "2026-06-13T11:43:22.933", "createdAt" : "2026-06-13T11:43:22.933", "lastUpdated" : "2026-06-15T04:44:15.203", "ingestTimestamp" : "2026-06-13T11:43:22.933", "mongoId" : "693c2b8370f0b99d5843f933", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3138315/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Language data annotation", "Data markup", "Scripting languages", "Speech data processing", "Text data processing", "Multimodal data processing", "Database queries", "Data analysis", "Critical thinking", "Problem solving", "Language Engineering", "Data Services", "AI Model Training", "Dataset Development", "Computational linguistics", "Language data processing", "AI data creation", "Data annotation", "Synthetic data generation", "Model-based data generation", "Human-in-the-loop data collections", "Multimodal datasets", "Agile development", "Computational Linguistics", "Speech data", "Text data", "Multimodal data", "Agentic workflows", "Machine Learning", "Python", "APIs", "SQL", "R", "Matlab", "Version control" ], "skillCount" : 35, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c692474d8ee00a090632e", "title" : "Commercial and Privacy Counsel (EMEA)", "company" : "Constructor", "industry" : "G&A", "salary" : { "min" : 95000.0, "max" : 140000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-seniority Commercial and Privacy Counsel in the UK SaaS industry, adjusted for remote work." }, "location" : "Remote - UK", "locations" : [ "Remote - UK", "Remote - Germany", "Remote - Netherlands", "Remote - Sweden" ], "certifications" : [ "CIPP/E certification" ], "timestamp" : "2026-06-15T10:32:15.537", "fingerprint" : "0845858c1e70bdbda53beac2c645b833fe8655809446a61ce4d134e29452998d", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/constructor/02abbcb5-50df-4e18-9402-f5074604b7c8/application", "externalId" : "02abbcb5-50df-4e18-9402-f5074604b7c8", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United Kingdom", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "United Kingdom", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Commercial strategy", "Regulatory compliance", "Risk management", "Legal analysis", "Compliance oversight", "Deal structuring", "Process automation", "Legal advisory", "Product development", "Commercial operations", "Employment law" ], "hardSkillsList" : [ "GDPR", "EPrivacy Directive", "NIS2", "EU AI Act", "European privacy laws", "PDPL", "Privacy-by-design", "Data protection compliance", "ROPA maintenance", "DPIAs", "Cookie compliance", "Tracking compliance", "AI regulatory developments", "Legislative developments", "Regulatory developments", "Environmental sustainability practices", "Data practices", "Commercial operations" ], "softSkillsList" : [ "Pragmatic", "Business-oriented", "Negotiator" ], "hardSkills" : [ { "name" : "GDPR", "level" : "intermediate" }, { "name" : "EPrivacy Directive", "level" : "intermediate" }, { "name" : "NIS2", "level" : "intermediate" }, { "name" : "EU AI Act", "level" : "intermediate" }, { "name" : "European privacy laws", "level" : "intermediate" }, { "name" : "PDPL", "level" : "intermediate" }, { "name" : "Privacy-by-design", "level" : "intermediate" }, { "name" : "Data protection compliance", "level" : "intermediate" }, { "name" : "ROPA maintenance", "level" : "intermediate" }, { "name" : "DPIAs", "level" : "intermediate" }, { "name" : "Cookie compliance", "level" : "intermediate" }, { "name" : "Tracking compliance", "level" : "intermediate" }, { "name" : "AI regulatory developments", "level" : "intermediate" }, { "name" : "Legislative developments", "level" : "intermediate" }, { "name" : "Regulatory developments", "level" : "intermediate" }, { "name" : "Environmental sustainability practices", "level" : "intermediate" }, { "name" : "Data practices", "level" : "intermediate" }, { "name" : "Commercial operations", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Pragmatic" }, { "name" : "Business-oriented" }, { "name" : "Negotiator" } ], "majorSkills" : "Data protection law, Technology transactions, SaaS agreements, European privacy laws", "majorSkillsList" : [ "Data protection law", "Technology transactions", "SaaS agreements", "European privacy laws" ], "coreResponsibilities" : "Draft SaaS customer agreements, Review SaaS customer agreements, Negotiate SaaS customer agreements, Support deal structuring, Support commercial strategy, Build scalable legal processes, Build scalable legal policies, Build scalable legal training, Drive Legal team efficiencies, Develop contract templates, Maintain contract templates, Develop playbooks, Maintain playbooks, Develop self-service resources, Maintain self-service resources, Explore process automation, Serve legal advisor GDPR, Serve legal advisor ePrivacy, Serve legal advisor NIS2, Serve legal advisor EU AI, Serve legal advisor privacy laws, Advise product teams privacy-by-design, Advise engineering teams privacy-by-design, Manage data protection compliance, Advise on data processing, Advise on international transfers, Advise on ROPAs, Advise on DSARs, Advise on incident response, Advise on DPIAs, Advise on cookie compliance, Advise on tracking compliance, Monitor AI regulatory developments, Advise leadership on AI impact, Action AI compliance efforts, Track legislative developments, Assess regulatory developments, Support employment law needs", "teamCollaboration" : "Collaborate sales teams; Collaborate partnerships teams; Collaborate people ops teams; Collaborate marketing teams; Collaborate procurement teams; Collaborate engineering teams; Partner Head of Legal; Partner COO", "domainKnowledge" : "European data protection; Technology transactions; GDPR; ePrivacy Directive; NIS2; EU AI Act; European privacy laws; Middle Eastern privacy laws; PDPL; Privacy-by-design; Data protection compliance; AI regulatory developments; Employment law", "domainList" : [ "european-data-protection", "technology-transactions", "gdpr", "eprivacy-directive", "nis2", "eu-ai-act", "european-privacy-laws", "middle-eastern-privacy-laws", "pdpl", "privacy-by-design", "data-protection-compliance", "ai-regulatory-developments", "employment-law" ], "domainSpecificKnowledge" : [ "European data protection", "Technology transactions", "GDPR", "ePrivacy Directive", "NIS2", "EU AI Act", "European privacy laws", "Middle Eastern privacy laws", "PDPL", "Privacy-by-design", "Data protection compliance", "AI regulatory developments", "Employment law" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Contract templates; Playbooks; Self-service resources", "continuousLearning" : "Training development budget", "problemSolvingSkills" : "Manage competing priorities; Translate complex requirements; Exercise sound judgment; Prioritize effectively; Manage diverse workload", "qualificationsBasic" : "Law degree accredited institution, Qualified practice law EU/US/UK", "qualificationsPreferred" : "5-10 years legal experience, European data protection experience, Commercial technology transactions experience, In-house counsel experience, Technology or SaaS company experience, Familiarity AI products, Drafting enterprise SaaS agreements, Negotiating enterprise SaaS agreements, Experience high-growth startup, Experience lean legal team", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "DESCRIPTION Constructor is a rapidly growing AI-powered product discovery platform that powers search, browse, recommendations, and personalization for some of the largest e-commerce retailers in the world. We're looking for a business-minded attorney with deep experience in European data protection law and technology transactions to join our legal team as Commercial and Privacy Counsel. You'll be the second member of Constructor's Legal team, working alongside the Head of Legal and collaborating daily with sales, partnerships, people ops, marketing, procurement, and engineering teams to support Constructor's growing EMEA customer base. The ideal candidate is a pragmatic, business-oriented lawyer who can move fast, manage competing priorities, and translate complex regulatory requirements into clear, actionable guidance.You http://guidance.You'll own the legal support for Constructor's EMEA customer relationships, help drive regulatory compliance across our platform, and stay ahead of evolving regulatory frameworks as they take effect. In this role, you will report to the Head of Legal. RESPONSIBILITIES - Draft, review, and negotiate SaaS customer agreements (including MSAs, Order Forms, DPAs, NDAs, and AI addendums) for Constructor's EMEA customers. - Support deal structuring and commercial strategy for Constructor's enterprise sales pipeline across EMEA markets - Partner with the Head of Legal and COO to build scalable legal processes, policies, and training for a growing international business. - Help drive Legal team efficiencies, including developing and maintaining contract templates, playbooks, and self-service resources, and exploring process automation. - Serve as a trusted legal advisor on GDPR, ePrivacy Directive, NIS2, EU AI Act, and other applicable European and Middle Eastern privacy laws (including PDPL) - Advise product and engineering teams on privacy-by-design principles related to Constructor's collection and use of data. - Manage Constructor's data protection compliance program for EU/UK operations, including ROPA maintenance, DPIAs, and responding to data subject access requests, and advise on cookie and tracking compliance under the ePrivacy Directive/ - Monitor emerging AI regulatory developments across EU member states and the UK, advise leadership on their impact on Constructor's products and commercial operations, and action compliance efforts.. - Track and assess legislative and regulatory developments across key European markets that may affect Constructor's products, environmental sustainability practices, data practices, or commercial operations - Support Constructor's EU/UK employment law needs. REQUIREMENTS - Excellent written and verbal communication skills in English - Law degree from an accredited institution in the EU, US or UK - Qualified to practice law in at least one EU member state, US or UK PREFERRED QUALIFICATIONS - 5-10 years of legal experience, with meaningful time spent on European data protection and commercial technology transactions - Experience serving as in-house counsel, ideally at a technology or SaaS company - Familiarity with AI products and related legal and contracting issues. - Strong negotiator who can balance legal risk with commercial objectives in a fast-paced environment - Comfortable working autonomously in a remote-first environment. - Demonstrated experience drafting and negotiating enterprise SaaS agreements - Ability to exercise sound judgment, prioritize effectively, and manage a diverse workload with shifting priorities. - Strong working knowledge of GDPR, UK GDPR, and the ePrivacy Directive - Hands-on experience running privacy programs, including advising on data processing activities, international data transfers, ROPAs, DSARs, incident response planning, and DPIAs - CIPP/E certification or equivalent data protection qualification - Proficiency in at least one additional European language - Experience in a high-growth, start up environment, working on a lean legal team BENEFITS - \uD83C\uDFDD️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year - \uD83D\uDCB0 A competitive compensation package including stock options - \uD83D\uDC68‍⚕️ Company sponsored US health coverage (100% paid for employee) - \uD83C\uDF0E Fully remote team - choose where you live - \uD83D\uDECB️ Work from home stipend! We want you to have the resources you need to set up your home office - \uD83D\uDCBB Apple laptops provided for new employees - \uD83E\uDDD1‍\uD83C\uDF93 Training and development budget for every employee, refreshed each year - \uD83D\uDC6A Parental leave for qualified employees - \uD83E\uDDE0 Work with smart people who will help you grow and make a meaningful impact This position is fully remote - Constructor.io http://Constructor.io is a remote-first company. DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.", "summaryDescription" : "Commercial and Privacy Counsel (EMEA) at Constructor. Skills: Data protection law, Technology transactions, SaaS agreements, European privacy laws. Draft SaaS customer agreements. Review SaaS customer agreements", "createdAt" : "2026-06-14T02:08:04.995", "lastUpdated" : "2026-06-15T10:32:15.537", "ingestTimestamp" : "2026-06-14T02:08:04.995", "mongoId" : "6a2c692474d8ee00a090632e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "GDPR", "EPrivacy Directive", "NIS2", "EU AI Act", "European privacy laws", "PDPL", "Privacy-by-design", "Data protection compliance", "ROPA maintenance", "DPIAs", "Cookie compliance", "Tracking compliance", "AI regulatory developments", "Legislative developments", "Regulatory developments", "Environmental sustainability practices", "Data practices", "Commercial operations", "Pragmatic", "Business-oriented", "Negotiator", "Data protection law", "Technology transactions", "SaaS agreements", "Commercial strategy", "Regulatory compliance", "Risk management", "Legal analysis", "Compliance oversight", "Deal structuring", "Process automation", "Legal advisory", "Product development", "Employment law", "European data protection", "ePrivacy Directive", "Middle Eastern privacy laws", "CIPP/E certification" ], "skillCount" : 38, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "693c2b9170f0b99d5844011e", "title" : "Language Engineer, Artificial General Intelligence", "company" : "Amazon.com Services LLC", "industry" : "Data Science, Language Engineer, alexa and amazon devices", "salary" : { "min" : 67700.0, "max" : 151400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T05:29:15.061", "fingerprint" : "4999e66bf43f5d6817a2f0481c871dd20421fcd96f459ae63d9550950b541e20", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3137792/apply", "externalId" : "757195a9-870d-4ee6-a02e-bea6ba24ce13", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 2, "technicalSkills" : "Python, SQL, R, Matlab", "professionalSkills" : [ "Data creation", "Data analysis", "AI data creation", "Language data processing", "Computational linguistics", "Multimodal data" ], "hardSkillsList" : [ "Synthetic data generation", "Model-supported data generation", "Human-in-the-loop data collections", "Data annotation", "Data markup", "Machine Learning concepts" ], "hardSkills" : [ { "name" : "Synthetic data generation", "level" : "intermediate" }, { "name" : "Model-supported data generation", "level" : "intermediate" }, { "name" : "Human-in-the-loop data collections", "level" : "intermediate" }, { "name" : "Data annotation", "level" : "intermediate" }, { "name" : "Data markup", "level" : "intermediate" }, { "name" : "Machine Learning concepts", "level" : "intermediate" } ], "majorSkills" : "Language data, AI models, Data collection, Data generation", "majorSkillsList" : [ "Language data", "AI models", "Data collection", "Data generation" ], "coreResponsibilities" : "Design data collections with human participants, Author instructions, Define quality targets, Implement quality mechanisms, Coordinate data collection efforts, Plan data collection, Schedule data collection, Report on data collection, Deliver final data, Design data creation tasks, Conduct data creation tasks, Analyze data, Extract insights from data, Build tools for data analysis, Build tools for data creation, Use modeling tools, Bootstrap AI functionalities, Test AI functionalities, Collaborate with scientists, Collaborate with software engineers, Collaborate with data creators, Evaluate performance of AI models", "teamCollaboration" : "Cross-functional teams; Product managers; Engineers; Data scientists", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Artificial General Intelligence; AI models; Multimodal datasets; Computational Linguistics", "domainList" : [ "artificial-general-intelligence", "ai-models", "multimodal-datasets", "computational-linguistics" ], "domainSpecificKnowledge" : [ "Artificial General Intelligence", "AI models", "Multimodal datasets", "Computational Linguistics" ], "communicationSkills" : "Excellent communication", "innovationCreativity" : "Driving innovation; Advancing state-of-the-art", "problemSolvingSkills" : "Data analysis", "qualificationsBasic" : "Experience owning language data collection projects, Master's degree in relevant field, 2+ years experience in computational linguistics, Experience with language data annotation systems, Proficient with scripting languages, Experience with speech, text, and multimodal data, Excellent communication skills, Excellent organizational skills, Very detailed oriented", "qualificationsPreferred" : "PhD in Computational Linguistics, Expertise in bootstrapping AI data collections, Extensive experience with speech, text, and multimodal data, Experience in data creation for complex agentic workflows, Practical experience with Machine Learning, Practical knowledge of version control, Familiarity with database queries, Familiarity with data analysis processes", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Amazon Artificial General Intelligence (AGI) Data Services organization is responsible for developing diverse datasets to train and evaluate the Amazon AI models. We are looking for Language Engineers to join our science and engineering team to support the development of complex, multimodal datasets, using a range of approaches including synthetic data generation, model-supported data generation, and human-in-the-loop data collections. You will play a critical role in driving innovation and advancing the state-of-the-art in evaluating and training AI models. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are best in class. Key job responsibilities - Design complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables - Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state-of-the-art approaches - Analyze and extract insights from large amounts of data - Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language - Use modeling tools to bootstrap or test new AI functionalities - Collaborate with scientists, software engineers, and other data creators to evaluate performance of AI models About the team Amazon strives to be the world’s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our customers, that enables them to build advanced ML models. Basic Qualifications: - Experience owning and executing language data collection projects, including guidelines, labelset and annotation workflow development - Master's or higher degree in a relevant field (Computational Linguistics or equivalent field with computational analysis) - 2+ years experience in computational linguistics or language data processing or AI data creation - Experience with language data annotation systems and other forms of data markup - Proficient with scripting languages, such as Python - Experience working with speech, text, and multimodal data in multiple languages - Excellent communication, strong organizational skills and very detailed oriented - Comfortable working in a fast paced, highly collaborative, dynamic work environment Preferred Qualifications: - PhD in Computational Linguistics (or equivalent field with computational emphasis) - Expertise in bootstrapping AI data collections for quickly evolving requirements - Extensive experience working with speech, text, and multimodal data in multiple languages - Experience in data creation for complex agentic workflows - Practical experience with Machine Learning and technical concepts such as API - Practical knowledge of version control and agile development; familiarity with database queries and data analysis processes (SQL, R, Matlab, etc.) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $67,700/year in our lowest geographic market up to $151,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Language Engineer, Artificial General Intelligence at Amazon.com Services LLC. Skills: Language data, AI models, Data collection, Data generation. Design data collections with human participants. Author instructions", "postedDate" : "2026-06-13T09:16:06.640", "createdAt" : "2026-06-13T09:16:06.640", "lastUpdated" : "2026-06-15T05:29:15.061", "ingestTimestamp" : "2026-06-13T09:16:06.640", "mongoId" : "693c2b9170f0b99d5844011e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3137792/apply", "salaryAnnualMin" : 67700, "salaryAnnualMax" : 151400, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Synthetic data generation", "Model-supported data generation", "Human-in-the-loop data collections", "Data annotation", "Data markup", "Machine Learning concepts", "Language data", "AI models", "Data collection", "Data generation", "Data creation", "Data analysis", "AI data creation", "Language data processing", "Computational linguistics", "Multimodal data", "Agile", "Artificial General Intelligence", "Multimodal datasets", "Computational Linguistics" ], "skillCount" : 20, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c74e074d8ee00a0935852", "title" : "General Counsel", "company" : "Gimlet", "industry" : "G&A", "salary" : { "min" : 275000.0, "max" : 335000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco", "locations" : [ "San Francisco" ], "timestamp" : "2026-06-16T04:44:17.473", "fingerprint" : "0a7a74e6100c33b808980413e14a590406657ef0f2531e4e8e507c693410b0bb", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/gimlet/d55e9893-0fa1-4e7e-9369-6b26183445e2/application", "externalId" : "d55e9893-0fa1-4e7e-9369-6b26183445e2", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "JD", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "professionalSkills" : [ "Legal strategy", "Commercial negotiations", "Corporate governance", "Risk management", "Process development", "Policy development" ], "hardSkillsList" : [ "AI regulatory frameworks", "Intellectual property", "Commercial agreements", "Financing arrangements", "Infrastructure agreements", "Supply chain management", "Hardware procurement" ], "softSkillsList" : [ "Execution-oriented", "Pragmatic", "Solutions-oriented judgment", "Relationship-building skills" ], "hardSkills" : [ { "name" : "AI regulatory frameworks", "level" : "intermediate" }, { "name" : "Intellectual property", "level" : "intermediate" }, { "name" : "Commercial agreements", "level" : "intermediate" }, { "name" : "Financing arrangements", "level" : "intermediate" }, { "name" : "Infrastructure agreements", "level" : "intermediate" }, { "name" : "Supply chain management", "level" : "intermediate" }, { "name" : "Hardware procurement", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Execution-oriented" }, { "name" : "Pragmatic" }, { "name" : "Solutions-oriented judgment" }, { "name" : "Relationship-building skills" } ], "majorSkills" : "Legal strategy, Commercial negotiations, AI infrastructure, Risk management", "majorSkillsList" : [ "Legal strategy", "Commercial negotiations", "AI infrastructure", "Risk management" ], "coreResponsibilities" : "Lead legal strategy, Lead legal execution, Negotiate multi-party agreements, Manage multi-party agreements, Structure deals, Advise on deals, Support data center initiatives, Support supply chain initiatives, Support hardware procurement initiatives, Support infrastructure deployment initiatives, Partner on financing activities, Partner on corporate governance, Partner on strategic transactions, Partner on company-building matters, Manage outside counsel, Build internal legal capability, Drive repeatable work in-house, Develop scalable legal processes, Develop legal templates, Develop legal policies, Develop risk management practices, Advise on IP issues, Advise on regulatory issues, Advise on compliance issues, Advise on commercial issues, Work cross-functionally with engineering, Work cross-functionally with operations, Work cross-functionally with finance, Work cross-functionally with go-to-market teams", "teamCollaboration" : "Core strategic partner to leadership; Cross-functional teams; Partnering with external advisors", "domainKnowledge" : "AI infrastructure; Cloud platforms; Compute ecosystems; Data center infrastructure; Hardware supply chains; Emerging AI regulatory frameworks", "domainList" : [ "ai-infrastructure", "cloud-platforms", "compute-ecosystems", "data-center-infrastructure", "hardware-supply-chains", "emerging-ai-regulatory-frameworks" ], "domainSpecificKnowledge" : [ "AI infrastructure", "Cloud platforms", "Compute ecosystems", "Data center infrastructure", "Hardware supply chains", "Emerging AI regulatory frameworks" ], "communicationSkills" : "Negotiation skills", "problemSolvingSkills" : "Practical judgment; Solutions-oriented judgment", "qualificationsBasic" : "10+ years legal experience, Meaningful experience in technology, Experience negotiating complex commercial agreements, Experience negotiating strategic transactions, Experience negotiating multi-party deal structures, Experience operating in high-growth environments, Experience operating in dynamic environments, Experience operating in highly technical environments, Experience managing outside counsel, JD from accredited law school, Active membership in at least one U.S. state bar", "qualificationsPreferred" : "Experience at a hyperscaler, Experience at a neocloud, Experience at an AI infrastructure company, Experience at a semiconductor company, Experience at a high-growth infrastructure startup, Familiarity with data center infrastructure, Familiarity with cloud platforms, Familiarity with AI compute, Familiarity with hardware supply chains, Experience negotiating large-scale infrastructure agreements, Experience negotiating procurement agreements, Experience negotiating financing agreements, Experience negotiating strategic partnership agreements, Background working with hardware vendors, Background working with cloud providers, Background working with AI platform companies, Background working with enterprise technology customers, Experience building in-house legal function, Experience leading in-house legal function, Track record of reducing reliance on outside counsel", "rawDescription" : "About Us Gimlet is building the next generation of AI infrastructure: large-scale AI datacenters and the orchestration platform that coordinates them. The future of AI will require vastly more compute than exists today. But as AI workloads become more complex and new hardware architectures emerge, simply deploying more GPUs isn't enough. The challenge is making increasingly diverse compute work together. Gimlet's platform intelligently partitions and routes workloads across heterogeneous hardware, enabling step-function improvements in performance and efficiency. Customers deploy through production-grade APIs without needing to think about hardware selection, placement, or optimization. We work with foundation labs, hyperscalers, and AI-native companies to power production workloads at massive scale and help define the infrastructure layer for the future of AI. ABOUT THE ROLE We are looking for a pragmatic, execution-oriented General Counsel to help build the legal and commercial foundation of Gimlet as we scale infrastructure deployments, strategic partnerships, financing activities, and enterprise customer relationships. This role will be a core strategic partner to the leadership team, helping navigate complex commercial negotiations involving multi-party deal structures, competing IP interests, infrastructure agreements, financing arrangements, and emerging AI regulatory frameworks. Many of Gimlet’s most important deals will involve three or more parties with layered commercial, technical, and ownership considerations, making this a defining challenge of the role. WHAT YOU WILL WORK ON - Lead legal strategy and execution across commercial, corporate, financing, infrastructure, regulatory, and operational matters. - Negotiate and manage complex multi-party agreements with customers, infrastructure providers, hardware vendors, financing partners, and strategic partners. - Structure and advise on deals involving three or more parties, competing IP interests, layered commercial arrangements, and cross-functional execution requirements. - Support data center, supply chain, hardware procurement, and infrastructure deployment initiatives. - Partner with leadership on financing activities, corporate governance, strategic transactions, and company-building matters. - Manage outside counsel effectively, using external support where specialized expertise is needed while building internal legal capability and driving repeatable work in-house over time. - Develop scalable legal processes, templates, policies, and risk management practices as Gimlet grows. - Advise on IP, regulatory, compliance, and commercial issues related to AI infrastructure, cloud platforms, and compute ecosystems. - Work cross-functionally with engineering, operations, finance, and go-to-market teams to enable rapid, thoughtful execution. YOU MAY BE A GOOD FIT IF - 10+ years of legal experience, including meaningful experience in technology, infrastructure, cloud, AI, hardware, or related industries. - Strong experience negotiating complex commercial agreements, strategic transactions, and multi-party deal structures. - Ability to navigate competing commercial, technical, IP, and risk considerations across multiple stakeholders. - Experience operating in high-growth, dynamic, or highly technical environments. - Practical, solutions-oriented judgment with the ability to balance execution speed, risk management, and business outcomes. - Experience managing outside counsel and partnering effectively with external advisors. - Excellent communication, negotiation, and relationship-building skills. - JD from an accredited law school and active membership in at least one U.S. state bar. STRONG CANDIDATES MAY ALSO HAVE - Experience at a hyperscaler, neocloud, AI infrastructure company, semiconductor company, or high-growth infrastructure startup. - Familiarity with data center infrastructure, cloud platforms, AI compute, or hardware supply chains. - Experience negotiating large-scale infrastructure, procurement, financing, or strategic partnership agreements. - Background working with hardware vendors, cloud providers, AI platform companies, or enterprise technology customers. - Experience building or leading an in-house legal function at a scaling company. - Track record of reducing reliance on outside counsel by building internal processes, playbooks, templates, and legal operating discipline.", "summaryDescription" : "General Counsel at Gimlet. Skills: Legal strategy, Commercial negotiations, AI infrastructure, Risk management. Lead legal strategy. Lead legal execution", "createdAt" : "2026-06-14T21:40:37.350", "lastUpdated" : "2026-06-16T04:44:17.473", "ingestTimestamp" : "2026-06-14T21:40:37.350", "mongoId" : "6a2c74e074d8ee00a0935852", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 275000, "salaryAnnualMax" : 335000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "AI regulatory frameworks", "Intellectual property", "Commercial agreements", "Financing arrangements", "Infrastructure agreements", "Supply chain management", "Hardware procurement", "Execution-oriented", "Pragmatic", "Solutions-oriented judgment", "Relationship-building skills", "Legal strategy", "Commercial negotiations", "AI infrastructure", "Risk management", "Corporate governance", "Process development", "Policy development", "Cloud platforms", "Compute ecosystems", "Data center infrastructure", "Hardware supply chains", "Emerging AI regulatory frameworks" ], "skillCount" : 23, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6931903370f0b99d58087a17", "title" : "Research Engineer, Artificial General Intelligence", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Artificial Intelligence", "salary" : { "min" : 129300.0, "max" : 223600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T04:08:21.684", "fingerprint" : "6e90ced542d0bff463272c68404c7637b0d006c94fe2b2610ce1f4797ccd4cd6", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3137066/apply", "externalId" : "aea51c40-1e05-407e-b04d-e8bd6d63b6b9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Machine Learning, Multimodal LLMs, Generative AI, CUDA, NeMo, Megatron Core, PyTorch, Jax, vLLM, TRT", "professionalSkills" : [ "Applied science", "System architecture", "Engineering practices" ], "hardSkillsList" : [ "Distributed systems", "Algorithm development", "Modeling techniques" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Algorithm development", "level" : "intermediate" }, { "name" : "Modeling techniques", "level" : "intermediate" } ], "majorSkills" : "Artificial General Intelligence, Large Language Models, Machine Learning", "majorSkillsList" : [ "Artificial General Intelligence", "Large Language Models", "Machine Learning" ], "coreResponsibilities" : "Support development of novel algorithms, Support development of modeling techniques, Advance the state of the art, Accelerate development with multimodal LLMs, Accelerate development with Generative AI, Scale pre-training workflows, Scale post-training workflows, Build efficient models, Drive system architecture, Spearhead best practices, Enable quality infrastructure, Support pre-training multimodal LLMs, Support post-training multimodal LLMs, Scale training on GPU clusters, Scale training on AWS Trainium clusters, Optimize training workflows, Optimize low-level details, Investigate design approaches, Prototype new technology, Prototype scientific techniques, Evaluate technical feasibility, Deliver results independently, Embrace new scientific advances, Adapt new scientific advances", "teamCollaboration" : "Work with other team members; Agile environment", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Large-scale distributed systems; Multimodal LLMs; Generative AI; Foundational Models", "domainList" : [ "large-scale-distributed-systems", "multimodal-llms", "generative-ai", "foundational-models" ], "domainSpecificKnowledge" : [ "Large-scale distributed systems", "Multimodal LLMs", "Generative AI", "Foundational Models" ], "innovationCreativity" : "Prototype new technology; Prototype scientific techniques", "problemSolvingSkills" : "Investigate design approaches; Evaluate technical feasibility", "qualificationsBasic" : "Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field, Experience programming with at least one software programming language", "qualificationsPreferred" : "PhD or Master's degree in machine learning or equivalent, 2+ years of full software development life cycle experience, Hands-on experience training Foundational Models/LLMs, Low-level optimization of ML training workflows, CUDA kernels experience, Network I/O experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Research Engineer with a strong hands-on machine learning background, to support the development of industry-leading multimodal large-language foundational models (LLMs). As a Research Engineer with the AGI team, you will be responsible for supporting the development of novel algorithms and modeling techniques to advance the state of the art. Your work will directly impact our customers and will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (Gen AI). You will have significant influence on our overall strategy by working at the intersection of engineering and applied science to scale pre and post-training workflows and build efficient models. You will help drive the system architecture, and spearhead the best practices that enable a quality infrastructure. The ideal candidate is clearly passionate about new opportunities and has a track record of success in delivering new features and products. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating reliable, scalable, and high performance products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment where priorities shift fast. Key job responsibilities - Responsible for pre and post-training multimodal LLMs. - Scale training of models on hyper large GPU and AWS Trainium clusters - Optimize training workflows using distributed training/parallelism techniques - Optimize low-level details of the training stack, including CUDA kernels, communication collectives, network I/O. - Utilize, build and extend upon industry leading frameworks (NeMo, Megatron Core, PyTorch, Jax, vLLM, TRT, etc) - Work with other team members to investigate design approaches, prototype new technology, scientific techniques and evaluate technical feasibility - Deliver results independently in a self organizing Agile environment while constantly embracing and adapting new scientific advances About the team The AGI Foundations team is responsible for building industry leading Generative AI Foundational Models. Basic Qualifications: - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language Preferred Qualifications: - PhD or Master's degree in machine learning or equivalent - 2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Hands-on experience and expertise in training Foundational Models/LLMs, and/or low-level optimization of ML training workflows, CUDA kernels, network I/O. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Research Engineer, Artificial General Intelligence at Amazon.com Services LLC. Skills: Artificial General Intelligence, Large Language Models, Machine Learning. Support development of novel algorithms. Support development of modeling techniques", "postedDate" : "2026-06-13T09:14:00.590", "createdAt" : "2026-06-13T09:14:00.590", "lastUpdated" : "2026-06-15T04:08:21.684", "ingestTimestamp" : "2026-06-13T09:14:00.590", "mongoId" : "6931903370f0b99d58087a17", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3137066/apply", "salaryAnnualMin" : 129300, "salaryAnnualMax" : 223600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Distributed systems", "Algorithm development", "Modeling techniques", "Artificial General Intelligence", "Large Language Models", "Machine Learning", "Applied science", "System architecture", "Engineering practices", "Agile", "Large-scale distributed systems", "Multimodal LLMs", "Generative AI", "Foundational Models" ], "skillCount" : 14, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "68c2e420f8b1b0376634c4e8", "title" : "Senior Applied Scientist, Artificial General Intelligence", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Artificial Intelligence", "salary" : { "min" : 150400.0, "max" : 260000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T05:20:36.235", "fingerprint" : "bbf34fc983c42a0579d92e4598ef48494a7100b37b831144ba38fe7ff638486e", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3078169/apply", "externalId" : "0035d177-f484-4e7f-a3f7-bf6e5d8b294b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Machine Learning, Deep Learning, Large Language Models, AWS, Distributed Systems, Data Processing", "professionalSkills" : [ "Applied Science" ], "hardSkillsList" : [ "Deep learning frameworks", "Large-scale data processing" ], "hardSkills" : [ { "name" : "Deep learning frameworks", "level" : "intermediate" }, { "name" : "Large-scale data processing", "level" : "intermediate" } ], "majorSkills" : "Artificial General Intelligence, Machine Learning, Deep Learning", "majorSkillsList" : [ "Artificial General Intelligence", "Machine Learning", "Deep Learning" ], "coreResponsibilities" : "Design and implement ML models, Develop novel algorithms, Conduct research in AGI, Collaborate with engineering teams, Publish research findings", "teamCollaboration" : "Engineering teams", "domainKnowledge" : "Artificial General Intelligence; Deep learning; Large language models; Reinforcement learning", "domainList" : [ "artificial-general-intelligence", "deep-learning", "large-language-models", "reinforcement-learning" ], "domainSpecificKnowledge" : [ "Artificial General Intelligence", "Deep learning", "Large language models", "Reinforcement learning" ], "communicationSkills" : "Publish research findings", "innovationCreativity" : "Research; Novel algorithms", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "5+ years of experience in applied science or related field, Master's degree in Computer Science, Machine Learning, or related field, Proficiency in Python, Experience with deep learning frameworks, Experience with large-scale data processing", "qualificationsPreferred" : "PhD in Computer Science, Machine Learning, or related field, Experience with AWS, Experience with distributed systems, Experience with large language models", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "The Artificial General Intelligence (AGI) team is looking for a Senior Applied Scientist to work on pre-training methodologies for Generative Artificial Intelligence (GenAI) models. You will interact closely with our customers and with the academic and research communities. You will be at the heart of a growing and exciting focus area for Amazon, working with other acclaimed engineers and world-famous scientists. Key job responsibilities Join us to work as an integral part of a team that has diverse experience with GenAI models in this space. We work on these areas: - Scaling laws - Hardware-informed efficient model architecture, low-precision training - Optimization methods, learning objectives, curriculum design - Deep learning theories on efficient hyperparameter search and self-supervised learning - Learning objectives and reinforcement learning methods - Distributed training methods and solutions - AI-assisted research About the team The AGI team has a mission to push the envelope in Large Language Models (LLMs) and multimodal systems, in order to provide the best-possible experience for our customers. Basic Qualifications: - PhD, or Master's degree and 5+ years of applied research experience - 3+ years of building machine learning models for business application experience - Experience with neural deep learning methods and machine learning - Experience programming in Java, C++, Python or related language Preferred Qualifications: - PhD in Computer Science, Electrical Engineering, Mathematics or related field - Relevant Generative Artificial Intelligence (GenAI) research experience with LLMs and multi-modalities - Experience with patents or publications at top-tier peer-reviewed conferences or journals - For system researchers, familiarity with deep learning compilers, auto-parallelization, and XLA/MLIR ecosystems Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Senior Applied Scientist, Artificial General Intelligence at Amazon.com Services LLC. Skills: Artificial General Intelligence, Machine Learning, Deep Learning. Design and implement ML models. Develop novel algorithms", "postedDate" : "2026-06-13T19:12:41.686", "createdAt" : "2026-06-13T19:12:41.686", "lastUpdated" : "2026-06-15T05:20:36.235", "ingestTimestamp" : "2026-06-13T19:12:41.686", "mongoId" : "68c2e420f8b1b0376634c4e8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3078169/apply", "salaryAnnualMin" : 150400, "salaryAnnualMax" : 260000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Deep learning frameworks", "Large-scale data processing", "Artificial General Intelligence", "Machine Learning", "Deep Learning", "Applied Science", "Deep learning", "Large language models", "Reinforcement learning" ], "skillCount" : 9, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2176ba74d8ee00a0c1aba1", "title" : "ML Data Associate-II, Artificial General Intelligence", "company" : "ADCI HYD 16 SEZ - H83", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 750000.0, "max" : 1200000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for ML Data Associate-II in Hyderabad, India, adjusted for junior seniority and the technology industry." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T04:30:12.075", "fingerprint" : "d44198e7a298f321a7e8254c5ff377712b53ae27b367f1e4f6dae7fb9443262c", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10439669/apply", "externalId" : "1ade7095-37e2-4931-a285-c3d818df381f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Dialogue evaluation", "Data labeling" ], "hardSkillsList" : [ "Logical decision making", "Root cause analysis", "Error pattern identification" ], "softSkillsList" : [ "Individuality", "Creative mind" ], "hardSkills" : [ { "name" : "Logical decision making", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Error pattern identification", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Individuality" }, { "name" : "Creative mind" } ], "majorSkills" : "Data labeling, AI development", "majorSkillsList" : [ "Data labeling", "AI development" ], "coreResponsibilities" : "Maintain strict confidentiality, Work with different data types, Deliver high-quality labelled data, Meet KPIs, Demonstrate proficiency generating human insight data, Make sound judgments, Make logical decisions, Perform tasks, Demonstrate support on daily operational deliverables, Analyze root causes, Identify error patterns, Propose solutions, Enhance quality of labeling tasks, Identify process issues, Identify operational issues, Suggest changes to unblock operations, Demonstrate ownership in floor support, Clarify internal queries", "domainKnowledge" : "Generative AI; Large language models", "domainList" : [ "generative-ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Generative AI", "Large language models" ], "communicationSkills" : "Professional correspondence", "innovationCreativity" : "Think out of the box", "problemSolvingSkills" : "Structured problem-solving; Root cause analysis", "specialRequirements" : "Fixed term contractual role", "outcomesObjectives" : "Meet our KPIs", "qualificationsBasic" : "Knowledge of Hindi grammar, Bachelor's degree, business writing skills, Advanced reading comprehension, Developed analytical thinking, structured problem-solving capabilities, ability to interpret detailed instructions, Proficient research skills", "qualificationsPreferred" : "Knowledge of advanced English, 2+ years professional work experience, Leverage open-source resources, Adapt to fast-paced environments, 1+ years project coordination experience, Experience managing stakeholder relationships, Advanced proficiency Microsoft Office Suite", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on! This is a fixed term contractual role for 12 months. Key job responsibilities • Maintain and follow strict confidentiality as customer privacy is our most important tenet • Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video • Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly. • Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. • Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. • Eye for detail and ability to pivot from one category of requirement to another instantaneously. • Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team • Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs. • Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations • Demonstrate ownership in floor support to clarify internal queries during execution on need basis A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications: - Knowledge of Hindi grammar and spelling (both written and verbal) - Bachelor's degree - Strong business writing skills with ability to create reports, proposals, and professional correspondence - Advanced reading comprehension with ability to analyze complex business documents - Developed analytical thinking and structured problem-solving capabilities - Strong ability to interpret and implement detailed instructions across various projects - Proficient research skills with experience gathering and synthesizing information from multiple sources - Proven attention to detail in managing complex tasks and documents Preferred Qualifications: - Knowledge of advanced English at CEFR level B2/C1 - 2+ years of professional work experience with demonstrated task execution ability - Proven capacity to leverage open-source resources effectively for comprehensive research purposes - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy - 1+ years project coordination or management experience - Experience managing stakeholder relationships across departments - Advanced proficiency in Microsoft Office Suite and common business application Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "ML Data Associate-II, Artificial General Intelligence at ADCI HYD 16 SEZ - H83. Skills: Data labeling, AI development. Maintain strict confidentiality. Work with different data types", "postedDate" : "2026-06-13T10:35:23.879", "createdAt" : "2026-06-13T10:35:23.879", "lastUpdated" : "2026-06-15T04:30:12.075", "ingestTimestamp" : "2026-06-13T10:35:23.879", "mongoId" : "6a2176ba74d8ee00a0c1aba1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10439669/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Logical decision making", "Root cause analysis", "Error pattern identification", "Individuality", "Creative mind", "Data labeling", "AI development", "Dialogue evaluation", "Generative AI", "Large language models" ], "skillCount" : 10, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "68e6b1dd70f0b99d58d66f1e", "title" : "Applied Scientist, Artificial General Intelligence", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Artificial Intelligence", "salary" : { "min" : 136000.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T03:53:55.070", "fingerprint" : "81dfe4eb4eef3aee04330ba66cc2faafd706ae277e97edb69d2c6116d93cc5ef", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3102343/apply", "externalId" : "d4a655b3-542b-4be5-baa2-d9e0ba989d4e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 1, "technicalSkills" : "Java, C++, Python, PyTorch, TensorFlow, MxNet, Computer Vision, Deep Learning, Generative AI, Large Language Models", "professionalSkills" : [ "Business application", "Modeling techniques" ], "hardSkillsList" : [ "Algorithm development" ], "softSkillsList" : [ "Inventive" ], "hardSkills" : [ { "name" : "Algorithm development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Inventive" } ], "majorSkills" : "Deep Learning, Generative AI, Multi-modal systems", "majorSkillsList" : [ "Deep Learning", "Generative AI", "Multi-modal systems" ], "coreResponsibilities" : "Develop algorithms, Develop modeling techniques, Advance state of the art, Impact customers with products, Impact customers with services, Leverage computing resources, Accelerate development with LLMs, Accelerate development with GenAI, Work safely with employees, Cooperate with employees, Adhere to standards of excellence, Communicate effectively with employees, Communicate respectfully with employees, Ensure exceptional customer, Follow federal laws, Follow state laws, Follow local laws, Follow Company policies, Exercise sound judgment, Manage stress, Work safely with others, Work respectfully with others, Exhibit trustworthiness, Exhibit professionalism, Safeguard business operations, Safeguard Company reputation", "teamCollaboration" : "Work with talented peers; Work with other employees; Work with supervisors; Work with staff", "domainKnowledge" : "Artificial General Intelligence; Multi-modal LLMs; GenAI in Computer Vision; Vision technology; Language technology; Image domains; Video domains", "domainList" : [ "artificial-general-intelligence", "multi-modal-llms", "genai-in-computer-vision", "vision-technology", "language-technology", "image-domains", "video-domains" ], "domainSpecificKnowledge" : [ "Artificial General Intelligence", "Multi-modal LLMs", "GenAI in Computer Vision", "Vision technology", "Language technology", "Image domains", "Video domains" ], "communicationSkills" : "Communicate effectively; Communicate respectfully", "innovationCreativity" : "Inventive", "problemSolvingSkills" : "Sound judgment", "qualificationsBasic" : "Master's degree and 4+ years experience, 1+ years building models, Experience programming Java, C++, Python", "qualificationsPreferred" : "PhD in computer science, Research publications, Experience with learning multi-modal LLMs, Experience with Gen AI in Computer Vision", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to help build industry-leading technology with generative AI (GenAI) and multi-modal systems. Key job responsibilities As an Applied Scientist with the AGI team, you will work with talented peers to develop algorithms and modeling techniques to advance the state of the art with multi-modal systems. Your work will directly impact our customers in the form of products and services that make use of vision and language technology. You will leverage Amazon’s large-scale computing resources to accelerate development with multi-modal Large Language Models (LLMs) and GenAI in Computer Vision. About the team The AGI team has a mission to push the envelope with multimodal LLMs and GenAI in Computer Vision, in order to provide the best-possible experience for our customers. Basic Qualifications: - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - 1+ years of building models for business application experience - Experience programming in Java, C++, Python or related language Preferred Qualifications: - PhD in computer science, machine learning, engineering, or related fields - Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet Research publications in computer vision, deep learning or machine learning at peer-reviewed workshops, conferences or journals - Experience with learning multi-modal LLMs and Gen AI in Computer Vision, both in the image and video domains Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist, Artificial General Intelligence at Amazon.com Services LLC. Skills: Deep Learning, Generative AI, Multi-modal systems. Develop algorithms. Develop modeling techniques", "postedDate" : "2026-06-13T08:45:00.297", "createdAt" : "2026-06-13T08:45:00.297", "lastUpdated" : "2026-06-15T03:53:55.070", "ingestTimestamp" : "2026-06-13T08:45:00.297", "mongoId" : "68e6b1dd70f0b99d58d66f1e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3102343/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 223400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Algorithm development", "Inventive", "Deep Learning", "Generative AI", "Multi-modal systems", "Business application", "Modeling techniques", "Artificial General Intelligence", "Multi-modal LLMs", "GenAI in Computer Vision", "Vision technology", "Language technology", "Image domains", "Video domains" ], "skillCount" : 14, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a306b15f292fd229cfcf412", "title" : "Senior Manager Artificial Intelligence & Data", "company" : "Deloitte", "industry" : "Accounting", "salary" : { "min" : 95000.0, "max" : 140000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Manager Artificial Intelligence & Data in Amsterdam, Netherlands, adjusted for Deloitte's company size and the retail industry." }, "location" : "Amsterdam, NH, Netherlands", "locations" : [ "Amsterdam", "NH", "Netherlands" ], "timestamp" : "2026-06-16T12:31:40.740", "fingerprint" : "af8e6dc3224d0d8d4070be4c3e30ea5b664fceea08a669a6a185f934809964e2", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/DeloitteNetherlands/744000132233163-senior-manager-artificial-intelligence-data-consumer", "externalId" : "744000132233163", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Amsterdam, North Holland, Netherlands", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "AI, Data Science, Data Management, Data Analytics, Azure, AWS, Databricks, Agentic AI", "professionalSkills" : [ "Programme leadership", "Business development", "Strategic insight", "Client relationship management" ], "hardSkillsList" : [ "AI strategy", "Data management", "AI implementation", "Revenue growth management", "Supply chain optimisation", "Consumer intelligence" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "AI strategy", "level" : "intermediate" }, { "name" : "Data management", "level" : "intermediate" }, { "name" : "AI implementation", "level" : "intermediate" }, { "name" : "Revenue growth management", "level" : "intermediate" }, { "name" : "Supply chain optimisation", "level" : "intermediate" }, { "name" : "Consumer intelligence", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "AI Strategy, Data Management, Agentic AI, Retail/CPG", "majorSkillsList" : [ "AI Strategy", "Data Management", "Agentic AI", "Retail/CPG" ], "coreResponsibilities" : "Lead multidisciplinary teams, Advise senior stakeholders on AI strategy, Advise senior stakeholders on data management, Advise senior stakeholders on Agentic AI implementation, Accelerate the AI transition in CPG and retail, Drive business development, Deliver scalable Data/AI solutions, Deliver sustainable Data/AI solutions, Deliver solutions across revenue growth management, Deliver solutions across supply chain optimisation, Deliver solutions across sustainability, Deliver solutions across consumer intelligence, Combine strategic insight with hands-on programme leadership, Act as a recognised CPG & Retail authority, Shape the future of the consumer business, Lead AI strategy, Lead Agentic AI implementation, Lead enterprise data management, Fast-track clients’ AI transition, Deliver solutions across revenue growth management, Deliver solutions across supply-chain optimisation, Deliver solutions across sustainability, Deliver solutions across consumer intelligence, Head cross-functional teams across Deloitte, Provide hands-on leadership for complex transformation programmes, Serve as a key advisor to senior client, Drive business development to win strategic accounts, Build scalable solutions, Build sustainable solutions, Realise client ambitions", "teamCollaboration" : "Multidisciplinary teams; Cross-functional teams", "projectManagementSkills" : [ "Programme leadership", "Transformation programmes" ], "domainKnowledge" : "CPG market; Retail market; Consumer business; Agentic AI; Revenue growth management; Supply chain optimisation; Sustainability; Consumer intelligence", "domainList" : [ "cpg-market", "retail-market", "consumer-business", "agentic-ai", "revenue-growth-management", "supply-chain-optimisation", "sustainability", "consumer-intelligence" ], "domainSpecificKnowledge" : [ "CPG market", "Retail market", "Consumer business", "Agentic AI", "Revenue growth management", "Supply chain optimisation", "Sustainability", "Consumer intelligence" ], "communicationSkills" : "English communication", "innovationCreativity" : "Digital innovation", "problemSolvingSkills" : "Analytical skills", "outcomesObjectives" : "Accelerate AI transition; Accelerate AI adoption; Fast-track clients’ AI transition; Realise client ambitions", "qualificationsBasic" : "Master's degree in computer science, mathematics, business analytics, data science, AI or other STEM related, 6–10 years of relevant experience in consulting and the Retail/CPG industry, In-depth knowledge of the Retail/CPG market and technological trends, In-depth knowledge of AI, Data Science, Data Management, and Data Analytics, Knowledge of major AI/Data platforms such as Azure, AWS and Databricks, Excellent relationship builder, Ability to be a trusted guide for clients, Experience with commercial processes and closing contracts, Excellent analytical skills, Excellent interpersonal skills, Excellent communication skills in English", "qualificationsPreferred" : "Network within the Retail/CPG sector, Dutch language proficiency", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Lead multidisciplinary teams and advise senior stakeholders on AI strategy, data management and Agentic AI implementation to accelerate the AI transition in CPG and retail. Drive business development and deliver scalable, sustainable Data/AI solutions across revenue growth management, supply chain optimisation, sustainability and consumer intelligence, combining strategic insight with hands‑on programme leadership. * Trusted sector expert: Act as a recognised CPG & Retail authority, shaping the future of the consumer business through Agentic AI, data and digital innovation. * Accelerate AI adoption: Lead AI strategy, Agentic AI implementation and enterprise data management to fast‑track clients’ AI transition. * Tackle core industry challenges: Deliver solutions across revenue growth management, supply‑chain optimisation, sustainability and consumer intelligence. * Lead multidisciplinary delivery: Head cross‑functional teams across Deloitte, providing hands‑on leadership for complex transformation programmes. * Advise and grow client relationships: Serve as a key advisor to senior client stakeholders and drive business development to win strategic accounts. * Build scalable, sustainable solutions: Combine strategic insight with execution to deliver innovative, scalable Data/AI solutions that realise client ambitions. ## Qualifications As a Senior Manager, we expect you to have: * A Master’s degree in computer science, mathematics, business analytics, data science, AI or other STEM related. * 6–10 years of relevant experience in consulting and the Retail/CPG industry. * In-depth knowledge of the Retail/CPG market and technological trends. * In-depth knowledge of AI, Data Science, Data Management, and Data Analytics. * Knowledge of major AI/Data platforms such as Azure, AWS and Databricks. * A strong network within the Retail/CPG sector. * Excellent relationship builder and have the ability to be a trusted guide for our clients in challenging times. * Experience with commercial processes and closing contracts. * Excellent analytical, interpersonal, and communication skills in English (and preferably Dutch). ## Additional Information As a Senior Manager within our AI & Data team, with a focus on CPG and Retail (Consumer Business), you are a trusted expert in the sector. You play a pivotal role in accelerating the AI transition and shaping the future of the consumer business by leveraging Agentic AI, data, and digital innovation. You will work on some of the most complex and impactful challenges at the core of the industry, including AI Strategy, Data Management and Agentic AI implementation. Your engagements span across critical topics such as revenue growth management, supply chain optimization, sustainability and consumer intelligence. With a dedicated focus on Retail/CPG you will lead multidisciplinary teams across Deloitte, act as a key advisor to senior client stakeholders and drive business development. You combine strategic insight with hands on leadership of transformation programs and strong relationship management to help clients realize their ambitions. 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Drive business development and deliver scalable, sustainable Data/AI solutions across revenue growth management, supply chain optimisation, sustainability and consumer intelligence, combining strategic insight with hands‑on programme leadership. * Trusted sector expert: Act as a recognised CPG & Retail authority, shaping the future of the consumer business through Agentic AI, data and digital innovation. * Accelerate AI adoption: Lead AI strategy, Agentic AI implementation and enterprise data management to fast‑track clients’ AI transition. * Tackle core industry challenges: Deliver solutions across revenue growth management, supply‑chain optimisation, sustainability and consumer intelligence. * Lead multidisciplinary delivery: Head cross‑functional teams across Deloitte, providing hands‑on leadership for complex transformation programmes. * Advise and grow client relationships: Serve as a key advisor to senior client stakeholders and drive business development to win strategic accounts. * Build scalable, sustainable solutions: Combine strategic insight with execution to deliver innovative, scalable Data/AI solutions that realise client ambitions. ## Qualifications As a Senior Manager, we expect you to have: * A Master’s degree in computer science, mathematics, business analytics, data science, AI or other STEM related. * 6–10 years of relevant experience in consulting and the Retail/CPG industry. * In-depth knowledge of the Retail/CPG market and technological trends. * In-depth knowledge of AI, Data Science, Data Management, and Data Analytics. * Knowledge of major AI/Data platforms such as Azure, AWS and Databricks. * A strong network within the Retail/CPG sector. * Excellent relationship builder and have the ability to be a trusted guide for our clients in challenging times. * Experience with commercial processes and closing contracts. * Excellent analytical, interpersonal, and communication skills in English (and preferably Dutch). ## Additional Information As a Senior Manager within our AI & Data team, with a focus on CPG and Retail (Consumer Business), you are a trusted expert in the sector. You play a pivotal role in accelerating the AI transition and shaping the future of the consumer business by leveraging Agentic AI, data, and digital innovation. You will work on some of the most complex and impactful challenges at the core of the industry, including AI Strategy, Data Management and Agentic AI implementation. Your engagements span across critical topics such as revenue growth management, supply chain optimization, sustainability and consumer intelligence. With a dedicated focus on Retail/CPG you will lead multidisciplinary teams across Deloitte, act as a key advisor to senior client stakeholders and drive business development. You combine strategic insight with hands on leadership of transformation programs and strong relationship management to help clients realize their ambitions. 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Advise senior stakeholders on AI strategy", "postedDate" : "2026-06-15T15:25:58.000", "createdAt" : "2026-06-15T23:52:35.940", "lastUpdated" : "2026-06-16T08:42:10.784", "ingestTimestamp" : "2026-06-15T23:52:35.940", "mongoId" : "6a306b15f292fd229cfcf413", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "AI strategy", "Data strategy", "AI implementation", "Data management", "Agentic AI implementation", "Revenue growth management", "Supply chain optimisation", "Sustainability", "Consumer intelligence", "Leadership", "AI Strategy", "Data Management", "Agentic AI", "Programme leadership", "Business development", "Strategic insight", "Client relationship management", "CPG market", "Retail market", "Consumer business" ], "skillCount" : 20, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca31e74d8ee00a09aa3f6", "title" : "Associate General Counsel", "company" : "GlossGenius", "industry" : "Technology", "salary" : { "min" : 225000.0, "max" : 285000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "certifications" : [ "Active bar membership" ], "timestamp" : "2026-06-15T05:41:54.117", "fingerprint" : "22f7b84f5ef4f538843199bf167c2ce0b1f3944eddd7752959565faad772f6bc", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/glossgenius/jobs/7772249003", "externalId" : "7772249003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Risk management", "Legal analysis", "Compliance oversight", "Commercial contracts", "Corporate governance", "Employment matters", "Data privacy", "Regulatory compliance", "Strategic initiatives", "Partnerships", "Trademark protection", "Contract negotiation", "Vendor deals", "Partnership agreements", "Financing documents", "Contract templates", "Approval workflows", "Internal policies", "Outside counsel management", "Legal operations transformation", "AI systems utilization" ], "hardSkillsList" : [ "Legal drafting", "Contract review", "Intellectual property", "AI legal frameworks" ], "softSkillsList" : [ "High ownership", "High judgement", "Low ego" ], "hardSkills" : [ { "name" : "Legal drafting", "level" : "intermediate" }, { "name" : "Contract review", "level" : "intermediate" }, { "name" : "Intellectual property", "level" : "intermediate" }, { "name" : "AI legal frameworks", "level" : "intermediate" } ], "softSkills" : [ { "name" : "High ownership" }, { "name" : "High judgement" }, { "name" : "Low ego" } ], "majorSkills" : "Legal leadership, AI legal, Commercial law, Corporate law", "majorSkillsList" : [ "Legal leadership", "AI legal", "Commercial law", "Corporate law" ], "coreResponsibilities" : "Own full legal function, Serve as primary legal partner, Proactively advise on initiatives, Draft agreements, Negotiate agreements, Close agreements, Build legal infrastructure, Advise on employment matters, Manage outside counsel, Shape legal approach to AI, Lead transformation of legal operations, Identify AI systems for efficiency", "teamCollaboration" : "Partner with leadership; Partner to CEO; Partner to CBO; Partner to exec team", "domainKnowledge" : "AI legal landscape; AI products; AI data; AI-native capabilities; Commercial law; Corporate governance; Employment law; Data privacy law; Regulatory law", "domainList" : [ "ai-legal-landscape", "ai-products", "ai-data", "ai-native-capabilities", "commercial-law", "corporate-governance", "employment-law", "data-privacy-law", "regulatory-law" ], "domainSpecificKnowledge" : [ "AI legal landscape", "AI products", "AI data", "AI-native capabilities", "Commercial law", "Corporate governance", "Employment law", "Data privacy law", "Regulatory law" ], "toolProficiency" : [ "AI tools" ], "communicationSkills" : "Executive advising", "documentationSkills" : "Contract templates; Internal policies", "continuousLearning" : "Professional development stipend", "problemSolvingSkills" : "Thoughtful risk management; Clear guidance", "outcomesObjectives" : "Enable business growth; Scale legal infrastructure; Eliminate low-leverage work; Accelerate contract review; Accelerate contract drafting; Make function efficient", "qualificationsBasic" : "JD from accredited law school, Active bar membership, 10+ years legal experience, Experience at top-tier law firm, Experience in-house at high-growth tech company, Broad generalist legal range", "qualificationsPreferred" : "NY bar membership preferred, Familiarity with AI legal landscape", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About GlossGenius GlossGenius is the AI-powered system behind the world’s most meaningful appointments, helping 100,000+ service businesses earn more revenue and free up time for the work they love. Our agentic workforce gets more clients in the door, grows profit per appointment, and keeps clients coming back — doing the jobs owners never had time for and couldn’t justify hiring to fill. Businesses on GlossGenius process billions in annual payment volume, and see 65% more revenue using GlossGenius Payments by growing ticket size, rebooking clients at checkout, and saving on processing fees. About the Role GlossGenius is quickly scaling across its AI-native platform and new business areas, growing in ways that bring meaningful new complexity. Legal is an important part of that foundation, and we need a sharp, pragmatic legal leader who can keep pace with a business that's moving fast. You'll be a true enabler of how we scale, partnering directly with leadership to clear the path for the business through thoughtful risk management and judgement. This is a high-ownership, high-visibility, high judgement role with broad scope across commercial, corporate, employment, privacy, and regulatory matters. You will report to the Chief Business Officer. This role is based in New York City and operates in an in-person environment. We are in the office for most of the work week. What You’ll Do Own the full legal function at GlossGenius, covering commercial contracts, corporate governance, employment, data privacy, and regulatory compliance Serve as the primary legal partner to the CEO, CBO, and the entire exec team, proactively advising on strategic initiatives, partnerships, intellectual property, trademark protection and the day-to-day decisions that enable the growth of the business Draft, negotiate, and close a wide range of agreements including enterprise contracts, vendor deals, partnership agreements, and financing-related documents Build the legal infrastructure that scales with us: contract templates, playbooks, approval workflows, and internal policies that give the business speed and confidence Advise on employment and people matters, serving as a trusted resource as the company scales and the complexity of our workforce grows Manage outside counsel strategically, with an eye toward keeping spend efficient and outcomes sharp Shape our approach to the legal and regulatory considerations surrounding AI products and data, as we continue building deeply AI-native capabilities Lead the transformation of legal operations by identifying where AI systems and tools can eliminate low-leverage work, accelerate contract review and drafting, and make the function meaningfully more efficient at scale What We’re Looking For JD from an accredited law school and active bar membership (NY preferred) 10+ years of legal experience, with meaningful time at a top-tier law firm and in-house at a high-growth tech company Broad generalist range across commercial, corporate, employment, privacy, and regulatory matters — you're not a one-practice-area lawyer Strong commercial instincts and the ability to give the business clear, decisive guidance without a lot of back-and-forth Deep familiarity with the evolving legal landscape around AI, including IP, data licensing, model usage, and regulatory considerations Already using AI tools across your whole workflow and able to use them to meaningfully change how you’re running a legal team of the future Low ego, high ownership mentality — you're the most senior legal voice here and you're still happy to be hands-on Benefits & Perks Flexible PTO Competitive health & dental insurance options, with premiums partially covered by GG Fertility and adoption benefits via Carrot and Kindbody Generous, fully-paid parental leave policy 401k benefit - employees are eligible to contribute starting day 1 of employment Professional Development - employees receive a yearly stipend for approved learning and educational-related expenses Pre-tax commuter benefits Dependent Care FSA Home office support Team Bonding opportunities - annual company retreat for entire team, plus virtual events throughout the year The base salary for this role is between $225,000 and $285,000 + equity + benefits. The compensation package offered is dependent upon many factors including skills, experience, location, and education. The range is subject to change and may be modified in the future. Additionally, this role is currently eligible to participate in GlossGenius's equity plan as well as a range of health & wellbeing, retirement savings, and other benefits within our total rewards offering. Personal Information: Notice at Collection for Employees and Applicants Agency Submissions If a resume or applicant is submitted to GlossGenius by a third party without a signed search agreement in place, it will become the property of GlossGenius and no fee will be paid, irrespective of whether the candidate is hired. GlossGenius may use automated tools, including artificial intelligence and machine learning systems (AI Tools), to assist in evaluating applicants’ qualifications and fitness for the position. These AI Tools may be used alongside human review during one or more stages of the recruiting process, including application screening, skills assessments, and interviewing. No final hiring decision will be made solely by AI Tools without human oversight.", "summaryDescription" : "Associate General Counsel at GlossGenius. Skills: Legal leadership, AI legal, Commercial law, Corporate law. Own full legal function. Serve as primary legal partner", "postedDate" : "2026-06-13T21:25:51.344", "createdAt" : "2026-06-13T21:25:51.344", "lastUpdated" : "2026-06-15T05:41:54.117", "ingestTimestamp" : "2026-06-13T21:25:51.344", "mongoId" : "6a2ca31e74d8ee00a09aa3f6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 225000, "salaryAnnualMax" : 285000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Legal drafting", "Contract review", "Intellectual property", "AI legal frameworks", "High ownership", "High judgement", "Low ego", "Legal leadership", "AI legal", "Commercial law", "Corporate law", "Risk management", "Legal analysis", "Compliance oversight", "Commercial contracts", "Corporate governance", "Employment matters", "Data privacy", "Regulatory compliance", "Strategic initiatives", "Partnerships", "Trademark protection", "Contract negotiation", "Vendor deals", "Partnership agreements", "Financing documents", "Contract templates", "Approval workflows", "Internal policies", "Outside counsel management", "Legal operations transformation", "AI systems utilization", "AI legal landscape", "AI products", "AI data", "AI-native capabilities", "Employment law", "Data privacy law", "Regulatory law", "Active bar membership", "AI tools" ], "skillCount" : 41, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "693c2b9170f0b99d5844011d", "title" : "Language Engineer, Artificial General Intelligence", "company" : "Amazon.com Services LLC", "industry" : "Data Science, Language Engineer, alexa and amazon devices", "salary" : { "min" : 58600.0, "max" : 131100.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T01:02:01.045", "fingerprint" : "f9b6c0d0120fa12ea36432352cc9407c56743c2f2172e962e1c904196f631014", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3137789/apply", "externalId" : "015444b2-023b-45be-ab3f-336cd4cb4aa1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 2, "technicalSkills" : "Python, APIs, SQL, R, Matlab", "professionalSkills" : [ "Computational Linguistics", "language data processing", "AI data creation", "data markup", "data generation", "data analysis", "AI functionalities", "AI models" ], "hardSkillsList" : [ "language data annotation", "data markup", "synthetic data generation", "model-based data generation", "data analysis", "version control", "agile development", "database queries", "data analysis processes" ], "softSkillsList" : [ "organizational skills", "analytical skills", "problem solving skills" ], "hardSkills" : [ { "name" : "language data annotation", "level" : "intermediate" }, { "name" : "data markup", "level" : "intermediate" }, { "name" : "synthetic data generation", "level" : "intermediate" }, { "name" : "model-based data generation", "level" : "intermediate" }, { "name" : "data analysis", "level" : "intermediate" }, { "name" : "version control", "level" : "intermediate" }, { "name" : "agile development", "level" : "intermediate" }, { "name" : "database queries", "level" : "intermediate" }, { "name" : "data analysis processes", "level" : "intermediate" } ], "softSkills" : [ { "name" : "organizational skills" }, { "name" : "analytical skills" }, { "name" : "problem solving skills" } ], "majorSkills" : "Language Engineering, Artificial General Intelligence, Data Services, AI models", "majorSkillsList" : [ "Language Engineering", "Artificial General Intelligence", "Data Services", "AI models" ], "coreResponsibilities" : "Design complex data collections, author instructions, define quality targets, implement quality mechanisms, provide day-to-day coordination, planning, scheduling, reporting, be responsible for final deliverables, Design data creation tasks, conduct data creation tasks, Analyze data, extract insights from data, Build tools, build tool prototypes, Use modeling tools, bootstrap AI functionalities, test AI functionalities, Collaborate with scientists, Collaborate with software engineers, Collaborate with data creators, evaluate performance of AI models", "teamCollaboration" : "cross-functional teams; product managers; engineers; data scientists; scientists; software engineers; data creators", "projectManagementSkills" : [ "agile development" ], "domainKnowledge" : "Artificial General Intelligence; multimodal datasets; synthetic data generation; model-supported data generation; human-in-the-loop data collections; AI models; computational linguistics; language data processing; AI data creation; language data annotation; speech data; text data; multimodal data; agentic workflows; Machine Learning; APIs; version control; agile development; database queries; data analysis", "domainList" : [ "artificial-general-intelligence", "multimodal-datasets", "synthetic-data-generation", "model-supported-data-generation", "human-in-the-loop-data-collections", "ai-models", "computational-linguistics", "language-data-processing", "ai-data-creation", "language-data-annotation", "speech-data", "text-data", "multimodal-data", "agentic-workflows", "machine-learning", "apis", "version-control", "agile-development", "database-queries", "data-analysis" ], "domainSpecificKnowledge" : [ "Artificial General Intelligence", "multimodal datasets", "synthetic data generation", "model-supported data generation", "human-in-the-loop data collections", "AI models", "computational linguistics", "language data processing", "AI data creation", "language data annotation", "speech data", "text data", "multimodal data", "agentic workflows", "Machine Learning", "APIs", "version control", "agile development", "database queries", "data analysis" ], "toolProficiency" : [ "version control", "agile development" ], "communicationSkills" : "communication; organizational skills", "innovationCreativity" : "driving innovation; advancing the state-of-the-art", "problemSolvingSkills" : "analytical and problem solving skills", "qualificationsBasic" : "Master's or higher degree, 2+ years experience, language data annotation systems, Proficient with scripting languages, Python, speech, text, and multimodal data, multiple languages", "qualificationsPreferred" : "PhD in Computational Linguistics, bootstrapping AI data collections, Extensive experience with speech, text, and multimodal data, multiple languages, data creation for complex agentic workflows, Practical experience with Machine Learning, Familiarity with technical concepts, Practical knowledge of version control, agile development, Familiarity with database queries, data analysis processes, support several projects, accept reprioritization, think creatively, analytical and problem solving skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Amazon Artificial General Intelligence (AGI) Data Services organization is responsible for developing diverse datasets to train and evaluate the Amazon AI models. We are looking for Language Engineers to join our science and engineering team to support the development of complex, multimodal datasets, using a range of approaches including synthetic data generation, model-supported data generation, and human-in-the-loop data collections. You will play a critical role in driving innovation and advancing the state-of-the-art in evaluating and training AI models. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are best in class. Key job responsibilities - Design complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables - Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state-of-the-art approaches - Analyze and extract insights from large amounts of data - Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language - Use modeling tools to bootstrap or test new AI functionalities - Collaborate with scientists, software engineers, and other data creators to evaluate performance of AI models About the team Amazon strives to be the world’s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our customers, that enables them to build advanced ML models. Basic Qualifications: - Master's or higher degree in a relevant field (Computational Linguistics or equivalent field with computational analysis) - 2+ years experience in computational linguistics or language data processing or AI data creation - Experience with language data annotation systems and other forms of data markup - Proficient with scripting languages, such as Python - Experience working with speech, text, and multimodal data in multiple languages - Excellent communication, strong organizational skills and very detailed oriented - Comfortable working in a fast paced, highly collaborative, dynamic work environment Preferred Qualifications: - PhD in Computational Linguistics (or equivalent field with computational emphasis) - Expertise in bootstrapping AI data collections for quickly evolving requirements - Extensive experience working with speech, text, and multimodal data in multiple languages - Experience in data creation for complex agentic workflows - Practical experience with Machine Learning - Familiarity with technical concepts such as APIs - Practical knowledge of version control and agile development - Familiarity with database queries and data analysis processes (SQL, R, Matlab, etc.) - Willingness to support several projects at one time, and to accept reprioritization as necessary - Able to think creatively and possess strong analytical and problem solving skills Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $58,600/year in our lowest geographic market up to $131,100/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Language Engineer, Artificial General Intelligence at Amazon.com Services LLC. Skills: Language Engineering, Artificial General Intelligence, Data Services, AI models. Design complex data collections. author instructions", "postedDate" : "2026-06-13T07:04:30.528", "createdAt" : "2026-06-13T07:04:30.528", "lastUpdated" : "2026-06-15T01:02:01.045", "ingestTimestamp" : "2026-06-13T07:04:30.528", "mongoId" : "693c2b9170f0b99d5844011d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3137789/apply", "salaryAnnualMin" : 58600, "salaryAnnualMax" : 131100, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "language data annotation", "data markup", "synthetic data generation", "model-based data generation", "data analysis", "version control", "agile development", "database queries", "data analysis processes", "organizational skills", "analytical skills", "problem solving skills", "Language Engineering", "Artificial General Intelligence", "Data Services", "AI models", "Computational Linguistics", "language data processing", "AI data creation", "data generation", "AI functionalities", "multimodal datasets", "model-supported data generation", "human-in-the-loop data collections", "computational linguistics", "speech data", "text data", "multimodal data", "agentic workflows", "Machine Learning", "APIs" ], "skillCount" : 31, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "68c2e425f8b1b0376634c62e", "title" : "Team Manager, Artificial General Intelligence Data Services", "company" : "Evi Technologies Limited", "industry" : "Corporate Operations, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Manager in the Technology industry in Cambridge, United Kingdom, adjusted for seniority and company size." }, "location" : "Cambridge, England, GBR", "locations" : [ "Cambridge, England, GBR" ], "timestamp" : "2026-06-15T12:13:55.606", "fingerprint" : "ec9f6f52c1426a782ddf93d35e86fb468ad6bd63806ae9fc5da082c086727ecd", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3077493/apply", "externalId" : "07519478-2da9-4e1a-bb5b-502880714e55", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cambridge", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.1975846,0.1391537" } ], "locationText" : "Cambridge, England, United Kingdom", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor Degree", "experienceLevel" : "Manager", "technicalSkills" : "Machine Learning, Speech technology, Language technology", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Performance metrics", "Quality control", "Process improvement", "Six sigma", "Lean", "Kaizen" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Performance metrics", "level" : "intermediate" }, { "name" : "Quality control", "level" : "intermediate" }, { "name" : "Process improvement", "level" : "intermediate" }, { "name" : "Six sigma", "level" : "intermediate" }, { "name" : "Lean", "level" : "intermediate" }, { "name" : "Kaizen", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Process management, Performance metrics, Team leadership", "majorSkillsList" : [ "Process management", "Performance metrics", "Team leadership" ], "coreResponsibilities" : "Manage job assignment, Monitor performance on job adherence, Monitor performance on queue adherence, Monitor volume, Monitor quality, Support hiring of new Associates, Support training of new Associates, Ensure productivity is maximized, Develop work schedule, Balance work across workflows, Navigate competing delivery priorities, Liaise with Program Management, Liaise with global operations team leads, Manage risks, Propose mitigation strategies, Track quality metrics, Track utilization metrics, File tickets, Track tickets, Follow up on blocks to productivity, Provide regular feedback to direct reports, Provide formal feedback to direct reports, Provide informal feedback to direct reports, Identify process-related improvement, Implement process-related improvement", "teamCollaboration" : "Cross-functional teams; Global operations teams", "projectManagementSkills" : [ "Kaizen", "Six sigma", "Lean" ], "domainKnowledge" : "Speech and language technology; Alexa Data Services", "domainList" : [ "speech-and-language-technology", "alexa-data-services" ], "domainSpecificKnowledge" : [ "Speech and language technology", "Alexa Data Services" ], "communicationSkills" : "Verbal communication; Written communication; English communication", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Bachelor Degree (Any Stream), Leadership or related position, Proficiency verbal and written communication skills in English, Experience in understanding performance metrics, Developing performance metrics", "qualificationsPreferred" : "Experience with process improvement/quality control tools, Experience with process improvement/quality control methods, Demonstrated ability to lead diverse talent, Work cross-functionally, Build consensus on difficult issues, Excellent communication skills, Organizational skills, Very detail-oriented, Interest in hiring and developing people, Leadership experience in coaching, Leadership experience in performance management, Experience in managing process escalations, Experience in managing operational escalations, Experience in aspects of speech and language technology, Fluency in a foreign language, Experience in practical application of methodologies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Interested in improving the technology and features powering Alexa? Come work on it. We are building the speech and language solutions behind Amazon Echo and other Alexa-enabled products and services. Alexa Data Services’ mission is to provide high-quality labelled data for machine learning (ML) technologies. Key job responsibilities As Team Manager, you will be responsible for : • Manage job assignment on a day-to-day basis, monitoring performance on job or queue adherence, volume, and quality • Support hiring and training of new Associates • Ensure productivity is maximized through supervision, training, analysis, and feedback of performance data on a periodic basis • Develop the work schedule for the week by balancing work across various workflows and/or navigating competing delivery priorities • Liaise with Program Management and other global operations team leads to manage risks & propose mitigation strategies • Track quality and utilization metrics • File and track tickets, following up on blocks to productivity • Provide regular, formal & informal feedback to direct reports • Identify and help implement process-related improvement using methodologies such as Kaizen, six sigma, or lean • Communicate effectively in English A day in the life We are seeking an experienced team manager to join our operations in Cambridge to develop, manage, and support our Amazon Data Services team with Speech and language solutions. About the team The ADS team researches and delivers high-calibre multi-language Text-to-Speech technology, leading to voice quality and accuracy. Basic Qualifications: • Bachelor Degree (Any Stream) or advanced college education or experience in a Leadership or related position with management. • Proficiency verbal and written communication skills in English • Experience in understanding performance metrics and developing them to measure progress against key performance indicators Preferred Qualifications: • Experience with process improvement/quality control tools and methods • Demonstrated ability to lead diverse talent within a team, work cross-functionally, and build consensus on difficult issues • Excellent communication, strong organizational skills and very detail-oriented • Strong interest in hiring and developing people in their respective roles • Leadership experience in coaching and performance management • Experience in managing process and operational escalations • Experience with aspects of speech and language technology • Fluency in a foreign language (German, French or Italian) is a plus • Experience in practical application of methodologies such as Kaizen, six sigma, or lean Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Team Manager, Artificial General Intelligence Data Services at Evi Technologies Limited. Skills: Process management, Performance metrics, Team leadership. Manage job assignment. Monitor performance on job adherence", "postedDate" : "2026-06-14T06:37:52.462", "createdAt" : "2026-06-14T06:37:52.462", "lastUpdated" : "2026-06-15T12:13:55.606", "ingestTimestamp" : "2026-06-14T06:37:52.462", "mongoId" : "68c2e425f8b1b0376634c62e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3077493/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Performance metrics", "Quality control", "Process improvement", "Six sigma", "Lean", "Kaizen", "Leadership", "Process management", "Team leadership", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Speech and language technology", "Alexa Data Services" ], "skillCount" : 16, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ce87874d8ee00a0a6acd3", "title" : "General Counsel", "company" : "CertifyOS", "industry" : "Finance", "salary" : { "min" : 4500000.0, "max" : 7500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for General Counsel in India, adjusted for Pune (Tier 2 city), Manager seniority, and the Technology industry." }, "location" : "Pune, India", "locations" : [ "Pune, India", "Bengaluru, India" ], "certifications" : [ "Juris Doctor degree", "Admission to at least one state bar" ], "timestamp" : "2026-06-16T02:56:11.682", "fingerprint" : "47361fbb9340d3ce96f1d2649a79a40afe9cf019e082afe17974c3531c9e0021", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/certifyos/b64d7359-fe3f-4ff7-873d-6122f298064e/application", "externalId" : "b64d7359-fe3f-4ff7-873d-6122f298064e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pune", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "18.5213738,73.8545071" } ], "locationText" : "Pune, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "professionalSkills" : [ "Legal analysis", "Risk management", "Compliance oversight", "Contract negotiation", "Corporate governance", "Intellectual property", "Data privacy", "Litigation management", "Fundraising", "Mergers and acquisitions" ], "hardSkillsList" : [ "Corporate law", "Securities law", "Employment law", "Intellectual property law", "Commercial contracts", "Regulatory compliance", "Data privacy", "Litigation management", "Board resolutions", "Corporate governance", "Fundraising", "Mergers and acquisitions" ], "hardSkills" : [ { "name" : "Corporate law", "level" : "intermediate" }, { "name" : "Securities law", "level" : "intermediate" }, { "name" : "Employment law", "level" : "intermediate" }, { "name" : "Intellectual property law", "level" : "intermediate" }, { "name" : "Commercial contracts", "level" : "intermediate" }, { "name" : "Regulatory compliance", "level" : "intermediate" }, { "name" : "Data privacy", "level" : "intermediate" }, { "name" : "Litigation management", "level" : "intermediate" }, { "name" : "Board resolutions", "level" : "intermediate" }, { "name" : "Corporate governance", "level" : "intermediate" }, { "name" : "Fundraising", "level" : "intermediate" }, { "name" : "Mergers and acquisitions", "level" : "intermediate" } ], "majorSkills" : "Corporate law, Securities law, Regulatory compliance, Data privacy", "majorSkillsList" : [ "Corporate law", "Securities law", "Regulatory compliance", "Data privacy" ], "coreResponsibilities" : "Oversee all legal matters, Manage corporate governance, Advise on securities law, Manage commercial contracts, Oversee regulatory compliance, Manage data privacy, Oversee intellectual property, Manage litigation, Support fundraising, Support M&A, Build and manage legal team, Manage outside counsel", "teamCollaboration" : "Executive team; Board of Directors; Cross-functional teams", "domainKnowledge" : "Corporate law; Securities law; Employment law; Intellectual property law; Commercial contracts; Regulatory compliance; Data privacy; Litigation management; Corporate governance; Fundraising; Mergers and acquisitions; High-growth technology", "domainList" : [ "corporate-law", "securities-law", "employment-law", "intellectual-property-law", "commercial-contracts", "regulatory-compliance", "data-privacy", "litigation-management", "corporate-governance", "fundraising", "mergers-and-acquisitions", "high-growth-technology" ], "domainSpecificKnowledge" : [ "Corporate law", "Securities law", "Employment law", "Intellectual property law", "Commercial contracts", "Regulatory compliance", "Data privacy", "Litigation management", "Corporate governance", "Fundraising", "Mergers and acquisitions", "High-growth technology" ], "communicationSkills" : "Board presentations; Executive advice", "documentationSkills" : "Legal documentation; Board resolutions", "problemSolvingSkills" : "Legal analysis; Risk assessment", "qualificationsBasic" : "5+ years of legal experience, Experience with corporate law, Experience with securities law, Experience with employment law, Experience with intellectual property law, Experience with commercial contracts, Experience with regulatory compliance, Experience with data privacy, Experience with litigation management, Experience with board resolutions, Experience with corporate governance, Experience with fundraising, Experience with M&A, Juris Doctor degree, Admission to at least one state bar", "qualificationsPreferred" : "Experience in a high-growth technology company, Experience managing outside counsel, Experience building and leading legal teams", "remoteFriendly" : false, "workSiteFlexibility" : "Remote", "rawDescription" : "About CertifyOS CertifyOS is building the data infrastructure that powers modern healthcare. Today, healthcare organizations rely on fragmented and outdated provider data. This creates unnecessary administrative work, regulatory risk, and higher costs across the system. We’re solving that problem. Our API-first platform automates provider licensing, enrollment, credentialing, and network monitoring by connecting directly to hundreds of primary data sources. We help healthcare organizations maintain accurate, compliant, and reliable provider networks at scale. Our vision is simple: One API. One provider ID. Frictionless provider data. We’re backed by leading investors and built by a team with deep experience in provider data systems. At CertifyOS, we value authenticity, accountability, collaboration, results, and openness to feedback. We’re building a high-ownership team focused on solving real infrastructure problems that impact millions of patients. About the role: As our first internal General Counsel, you will be the architect of Certify’s global legal infrastructure during a hyper-growth phase. Reporting directly to the SVP of Finance, you will transition our legal operations from an outsourced model to a high-performing internal function. Your mission is to build the legal systems and discipline necessary to scale us for the future journey ahead. You are a hands-on leader who thrives in the \"controlled chaos\" of a Series B startup. You aren’t just reviewing contracts; you are institutionalizing the legal discipline required for our next stage of growth by managing the complexities of our US and India-based operations. Since you will be the primary legal partner for a US-headquartered revenue team, this role requires working full US business hours to ensure high-velocity execution for our customers and stakeholders. What you’ll do: 1. Build and Lead the Internal Legal Engine 1. Insourcing & Strategy: Lead the full migration of all legal data, contract repositories, and ongoing matters from external vendors to our internal systems. 2. Automation First: Build and implement \"automation-first\" tools and Contract Lifecycle Management (CLM) systems to drive scale and reduce manual review times. 3. Outside Counsel Management: Manage local and international legal vendors, acting as the primary point of contact to ensure specialized advice is cost-effective and aligned with company goals. 4. Cross Functional Partner: Partner with various stakeholders as legal matters arise with commercial, compliance or employment teams. 2. US Commercial Law & Revenue Enablement 1. High-Velocity Contracting: Own the drafting and negotiation of MSAs, SOWs, and Data Use Agreements, specifically tailored to US HealthTech and SaaS standards. 2. Sales Partnership: Partner with the Growth team to navigate complex enterprise procurement processes, ensuring legal is a \"bridge\" to revenue rather than a bottleneck. 3. Regulatory Alignment: Ensure all commercial agreements align with our mission to be the \"source of truth\" for provider data while protecting our intellectual property and API-first infrastructure. You will need to be a strategic partner with our Compliance team to understand operational impacts of the regulatory environment. 3. Global Compliance & Data Governance 1. Dual-Jurisdiction Mastery: Design and implement robust internal controls and SOPs that satisfy both US healthcare regulations and Indian corporate compliance. 2. Privacy Infrastructure: Act as the lead for data privacy and security legal standards, ensuring our platform’s \"Provider 360\" view meets the highest standards of the US healthcare ecosystem. 3. Risk Mitigation: Implement frameworks to prevent leakage and ensure audit readiness as we prepare for future institutional funding or exit events. What you’ll need: (Must-Have Experience) - The Credentials: Law degree (LLB/LLM) with 8–12 years of progressive legal experience in high-growth technology environments. - The \"Build\" Mindset: Proven experience transitioning a company from an outsourced legal model to a high-performing internal team. - US Commercial Expertise: Expert-level knowledge of US commercial law, including deep experience with SaaS revenue models, usage-based contracts, and hybrid ROI models. - Global Coordination: Direct experience working for an Indian subsidiary of a US-headquartered company, with a strong grasp of both Indian and US legal frameworks. - US Shift Alignment: Ability and willingness to work 100% overlap with US business hours to support our primary revenue and leadership teams. Preferred Experience - HealthTech Vertical: Deep understanding of the specific legal hurdles in healthcare data, including provider network management and US regulatory burdens. - Firm Background: Early career experience at a top-tier law firm is highly desirable. - Startup Scaling: A track record of working in high-growth startup environments (Series B to C), specifically helping a company scale through rapid ARR milestones. - Systems Mastery: Advanced experience with legal-tech automation, AI-native tools, and cloud-based systems. Benefits of Working at Certify At Certify, we’re building with intention and taking care of the people doing the work. Your well-being matters to us. We provide 100% coverage of health, dental, and vision insurance premiums for employees. Our US-based team benefits from unlimited PTO, with at least two weeks off each year to recharge. In India, employees are supported with health insurance, statutory leave benefits, and additional wellness (menstrual) leave for women. We are an equal opportunity employer committed to building an inclusive environment where everyone feels valued and empowered to do their best work, and we welcome applicants from all backgrounds and experiences. If you require reasonable accommodations during the application process, please contact recruiting@certifyos.com. We are also committed to pay transparency and foster an open culture where compensation conversations are encouraged and respected.", "summaryDescription" : "General Counsel at CertifyOS. Skills: Corporate law, Securities law, Regulatory compliance, Data privacy. Oversee all legal matters. Manage corporate governance", "createdAt" : "2026-06-14T18:48:34.318", "lastUpdated" : "2026-06-16T02:56:11.682", "ingestTimestamp" : "2026-06-14T18:48:34.318", "mongoId" : "6a2ce87874d8ee00a0a6acd3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Corporate law", "Securities law", "Employment law", "Intellectual property law", "Commercial contracts", "Regulatory compliance", "Data privacy", "Litigation management", "Board resolutions", "Corporate governance", "Fundraising", "Mergers and acquisitions", "Legal analysis", "Risk management", "Compliance oversight", "Contract negotiation", "Intellectual property", "High-growth technology", "Juris Doctor degree", "Admission to at least one state bar" ], "skillCount" : 20, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cc36074d8ee00a0a092fb", "title" : "Senior Product & Privacy Counsel", "company" : "SurveyMonkey", "industry" : "Legal", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product & Privacy Counsel in Dublin, Ireland, adjusted for the SaaS industry and company size." }, "location" : "Dublin", "locations" : [ "Dublin" ], "timestamp" : "2026-06-16T01:24:05.727", "fingerprint" : "a87df7a9950ad8559249a80892818fbdec2f0e148b14a31012b60a1d335f9345", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/surveymonkey/c8f36639-d6d1-44ad-901e-c45bd8010bc0/application", "externalId" : "c8f36639-d6d1-44ad-901e-c45bd8010bc0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dublin", "country" : "Ireland", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "53.3493795,-6.2605593" } ], "locationText" : "Dublin, Ireland", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Legal analysis", "Risk management", "Compliance oversight" ], "majorSkills" : "Regulatory requirements, Legal compliance", "majorSkillsList" : [ "Regulatory requirements", "Legal compliance" ], "coreResponsibilities" : "Analyze regulatory requirements, Manage legal risks, Oversee compliance activities, Provide legal counsel, Draft and review contracts, Advise on data privacy, Support product development, Conduct legal research", "teamCollaboration" : "Cross-functional teams; Legal department", "domainKnowledge" : "Data privacy laws; Contract law; Corporate law; Intellectual property", "domainList" : [ "data-privacy-laws", "contract-law", "corporate-law", "intellectual-property" ], "domainSpecificKnowledge" : [ "Data privacy laws", "Contract law", "Corporate law", "Intellectual property" ], "communicationSkills" : "Legal advice; Contract negotiation", "documentationSkills" : "Legal documents; Contracts", "problemSolvingSkills" : "Legal problem solving", "rawDescription" : "SurveyMonkey is the world’s most popular platform for surveys and forms, built for business—loved by users. We combine powerful capabilities with intuitive design, effectively serving every use case, from customer experience to employee engagement, market research to payment and registration forms. With built-in research expertise and AI-powered technology, it’s like having a team of expert researchers at your fingertips. Trusted by millions—from startups to Fortune 500 companies—SurveyMonkey helps teams gather insights and information that inspire better decisions, create experiences people love, and drive business growth. Discover how at surveymonkey.com http://surveymonkey.com. What we’re looking for We’re looking for a Senior Product & Privacy Counsel to join SurveyMonkey’s global Product & Privacy Legal team. Based in Dublin and reporting directly to our US-based Head of Product & Privacy, you will serve as the primary legal partner for our diverse Apps portfolio (including Wufoo, GetFeedback Digital, SurveyMonkey Apply, Audience, and LaunchPad), with the flexibility to adapt as our product ecosystem evolves. In this role, you’ll work hands-on with Product, Engineering, Design, Security, and Marketing teams to build and launch trusted, user-centric products at scale. This role is a perfect fit if you are energized by getting close to the technology, understanding how data flows, and translating complex global regulations into actionable business solutions. If you enjoy driving projects from concept to execution in a fast-moving, collaborative environment, we would love to meet you. What you’ll be working on - Product Partnership: Partner directly with product and engineering teams from ideation to launch, shaping features, integrations, and user experiences across our Apps portfolio. - Holistic Product Reviews: Lead comprehensive legal reviews that span privacy, data protection, consumer rights, intellectual property, product claims, and security-adjacent issues. - Privacy-by-Design Execution: Drive end-to-end privacy compliance, including managing DPIAs, LIAs, TIAs, vendor reviews, international data transfers, and data lifecycle management (collection through deletion). - Regulatory Translation: Proactively track and demystify shifting privacy, AI, and platform regulations across Europe, India, the U.S., and other key markets, turning complex laws into clear product requirements and playbooks. - Scalable Enablement: Draft and maintain transparent product terms, privacy notices, and customer-facing FAQs while building scalable review processes, templates, and training to empower our global teams. We’d love to hear from people with - Relevant Experience: 6+ years of PQE (or equivalent legal experience), with a proven track record in-house supporting fast-paced SaaS, digital product, or technology teams across both B2B and B2C spaces. - Credentials: Qualified to practice law in Ireland or the UK. A professional privacy certification (such as CIPP/E) is a distinct plus, but not required. - Practical Privacy & Product Judgment: Strong experience embedded with technical teams, handling privacy-by-design, data mapping, and DPAs, alongside a solid grasp of IP, marketing, and go-to-market legal issues. - Global Regulatory Fluency: A deep working knowledge of GDPR, ePrivacy, cross-border transfer mechanisms, and emerging data/AI frameworks across Europe and global markets. - Collaborative Communication: The ability to speak the same language as engineers and developers, translate legal risk into clear business next-steps, and thrive as an autonomous member of a global team. SurveyMonkey believes in-person collaboration is valuable for building relationships, fostering community, and enhancing our speed and execution in problem-solving and decision-making. As such, you will be required to work from our Dublin office up to 1 day per week. #LI-Hybrid Why SurveyMonkey? We’re glad you asked At SurveyMonkey, curiosity powers everything we do. We’re a global company where people from all backgrounds can make an impact, build meaningful connections, and grow their careers. Our teams work in a flexible, hybrid environment with thoughtfully designed offices and programs like the CHOICE Fund https://www.surveymonkey.com/curiosity/the-c-h-o-i-c-e-fund-at-surveymonkey/ to help employees thrive in work and life. We’ve been trusted by organizations for over 25 years, and we’re just getting started. Our milestones include celebrating a quarter-century of curiosity with 25 acts of giving https://www.surveymonkey.com/curiosity/25-anniversary-acts-of-giving/, opening new hubs in Costa Rica https://www.surveymonkey.com/curiosity/bringing-global-survey-tools-together-with-pura-vida-surveymonkey-launches-in-costa-rica/ and India https://www.surveymonkey.com/newsroom/expands-global-footprint-new-bengaluru-office/, crossing the threshold of 100 billion questions answered https://www.linkedin.com/posts/surveymonkey_this-week-were-celebrating-a-monumental-activity-7320476713241436160-1njI?utm_source=share&utm_medium=member_desktop&rcm=ACoAACXxneYBWR2gGWzCKIZny7jMucfLGW7KORE, and earning recognition as one of the Most Inspiring Workplaces across North America https://www.surveymonkey.com/newsroom/surveymonkey-celebrates-inspiring-workplaces-win-in-na-2025/ and Asia https://www.surveymonkey.com/newsroom/surveymonkey-celebrates-inspiring-workplaces-win-in-asia/. We live our company values https://www.surveymonkey.com/curiosity/surveymonkey-company-values-refresh-2025/—like championing inclusion and making it happen—by embedding them into how we hire, collaborate, and grow. They help shape everything from our culture to our business decisions. Come join us and see where your curiosity can take you. Our commitment to an inclusive workplace SurveyMonkey is an equal opportunity employer committed to providing a workplace free from harassment and discrimination. We celebrate the unique differences of our employees because that is what drives curiosity, innovation, and the success of our business. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. Accommodations are available for applicants with disabilities. Your data For more information on how SurveyMonkey (including its subsidiary and affiliated companies) processes your personal data as a job candidate or applicant, please see our Global Applicant and Candidate Data Privacy Notice https://www.surveymonkey.com/mp/legal/candidate-privacy-notice/. Please note that we may use artificial intelligence (AI) tools to support parts of the hiring process, such as sourcing candidates, reviewing applications, analyzing resumes, or summarizing interviews. These tools assist our recruitment team but do not replace human judgment.", "summaryDescription" : "Senior Product & Privacy Counsel at SurveyMonkey. Skills: Regulatory requirements, Legal compliance. Analyze regulatory requirements. 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Key job responsibilities As an Applied Scientist with the AGI team, you will work with talented peers to develop algorithms and modeling techniques to advance the state of the art with multi-modal systems. Your work will directly impact our customers in the form of products and services that make use of vision and language technology. You will leverage Amazon’s large-scale computing resources to accelerate development with multi-modal Large Language Models (LLMs) and GenAI in Computer Vision. About the team The AGI team has a mission to push the envelope with multimodal LLMs and GenAI in Computer Vision, in order to provide the best-possible experience for our customers. Basic Qualifications: - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - 1+ years of building models for business application experience - Experience programming in Java, C++, Python or related language Preferred Qualifications: - PhD in computer science, machine learning, engineering, or related fields - Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet Research publications in computer vision, deep learning or machine learning at peer-reviewed workshops, conferences or journals - Experience with learning multi-modal LLMs and Gen AI in Computer Vision, both in the image and video domains Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist, Artificial General Intelligence at Amazon.com Services LLC. Skills: Deep learning, Generative AI, Multi-modal systems, Computer Vision. Develop algorithms. Develop modeling techniques", "postedDate" : "2026-06-13T05:53:41.123", "createdAt" : "2026-06-13T05:53:41.123", "lastUpdated" : "2026-06-15T01:50:18.646", "ingestTimestamp" : "2026-06-13T05:53:41.123", "mongoId" : "68e0a7e2ce260f92cbf8e94f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3100987/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 223400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Algorithm development", "Modeling techniques", "Inventive", "Deep learning", "Generative AI", "Multi-modal systems", "Computer Vision", "Business application", "Artificial General Intelligence", "Multi-modal LLMs", "GenAI in Computer Vision", "Image domains", "Video domains" ], "skillCount" : 13, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "69f2d9bf4c40e2acd1890363", "title" : "General Counsel", "company" : "MassArt", "industry" : "Education", "salary" : { "min" : 190000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Massachusetts-Boston", "locations" : [ "Massachusetts-Boston", "Legal Services", "Mass College of Art and Design, Full-time, Full-time" ], "timestamp" : "2026-06-16T02:55:18.844", "fingerprint" : "19d6855a5487058410bbe312532d635eb1490f9a0c9caafd2615584808eb8e2f", "source" : "taleo", "language" : "en", "applyUrl" : "https://massanf.taleo.net/careersection/ex/jobdetail.ftl?job=1084760", "externalId" : "1084760", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "remoteFriendly" : false, "rawDescription" : "About MassArt: Founded in 1873, having celebrated its 150th anniversary in 2023, Massachusetts College of Art and Design (MassArt), is the nation's first and only independent, free-standing public college of art and design in the country. MassArt is an inclusive community of thinkers, doers, makers, educators, innovators and leaders striving to shape the future through art and design. We've spent 150 years demonstrating the truly amazing things that happen when a world-class art and design education is an option for every deserving student. Located in Boston's hub of arts and culture along the Avenue of the Arts, MassArt enrolls 2,000 students and offers a comprehensive range of undergraduate and graduate degrees in 18 disciplines, as well as continuing education and youth programs. MassArt strives to be a model of diversity and inclusion; the campus community reflects the layers of cultural and self-identity that proudly make up our region, nation, and world. We build effective partnerships with co-workers throughout the College by freely sharing appropriate information and providing assistance to all and maintain an environment that is welcoming to persons of all backgrounds, nationalities, and roles. Job Description: Academic Career & Executive Search is pleased to assist MassArt in its search for General Counsel. For full consideration, please apply by June 8, 2026. This is a remarkable opportunity to lead and shape the future during a vibrant period of accomplishment at Massachusetts College of Art and Design (MassArt). The General Counsel joins MassArt at a time of strong institutional momentum, with a dynamic leadership team, a revitalized branding initiative, and the launch of a refreshed Strategic Partnership Plan. Under the guidance of an inspiring President, MassArt continues its trajectory of transformative growth while remaining steadfast in its mission to cultivate artists, designers, educators, and makers from diverse backgrounds who shape communities, economies, and cultures for the common good. MassArt is the nation's only independent public college of art and design, serving over 2,000 undergraduate, graduate, and continuing education students. The General Counsel will serve as the University's chief legal and compliance officer, providing strategic legal guidance to the President, Board of Trustees, President's Cabinet, and senior leadership on a broad and complex range of matters. As a collaborative partner, the General Counsel promotes sound decision-making and mitigates institutional risk, ensuring policies and practices align with legal requirements and best practices in higher education. This is a highly engaged role requiring a proactive, solutions-oriented approach and the ability to advise across a wide range of institutional issues, from employment and labor relations to free expression, student matters, and emerging regulatory challenges. The General Counsel oversees the University's compliance program, centralized policy management system, and Enterprise Risk Management process, while advising on employment matters, governance, contracts, and regulatory compliance, and managing relationships with outside counsel. This role is highly visible across the institution, serving as a trusted and accessible advisor on sensitive and high-profile matters. The General Counsel will be a proactive partner to campus leaders, known for sound judgment, strong communication, and the ability to translate complex legal issues into clear, practical guidance. The General Counsel works closely with Human Resources, Equal Opportunity/Title IX, and other administrative units to support compliance, resolve complex issues, and mitigate risk. The General Counsel brings exceptional judgment, integrity, and discretion, with the ability to navigate complex legal landscapes in support of the University's mission. This position reports to the President and supervises the Executive Director of Equal Opportunity and Title IX, as well as co-supervision of the Administrative and Special Projects Coordinator. This is a fully on-site position and offers a generous benefits package. KEY RESPONSIBILITIES Provide legal counsel and strategic guidance to the officers of the institution and other senior management on all legal matters relevant to a public higher education institution, including personnel law, policies, procedures, rules, and regulations, and laws pertaining to students, purchasing contracts, grants, Memorandums of Understanding, worker compensation, liability and insurance matters, public monies and purchases, affirmative action, and other laws and regulations Serve as a proactive, solutions-oriented advisor to campus leaders, providing clear, practical guidance on complex and sensitive issues across all areas of the institution Advise and support the Human Resources team with matters related to employment law issues (Titles VI, VII, and IX, ADA, FLSA, and FMLA), employment policies, benefits administration, matters of compliance with state and federal regulations, and recommendations for corrective actions as needed Oversee the University's collective bargaining agreements, providing counsel to the president, senior administrators, and human resources team on personnel actions, discipline, and grievances Advise and support the Equal Opportunity Office, providing oversight and guidance Perform legal research and analysis regarding a wide range of legislative, regulatory, and other institutional matters and presents findings to the President, Cabinet, and Board of Trustees Oversee enterprise risk management and compliance committee to ensure that the University is following federal, state, and local policies, and regulations Participate in the development, review, and updating of policies and administrative procedures, as needed Inform the President, Cabinet and staff of changes to legislation, Board Policy, Administrative procedures and other issues impacting operations Examine, create and maintain draft agreements and legal documents of College's operations Maintain confidentiality of privileged information and adhere to applicable privacy laws. Demonstrate sensitivity, understanding and respect of diverse populations within the workplace Represent or oversee the representation of the institution and upper management in judicial and administrative proceedings, and in negotiations with other state agencies Build and maintain strong relationships with state agencies, peer institutions, and external partners to inform legal strategy and leverage available resources Ensure that the College's commitment to Justice, Equity and Transformation is incorporated in all College processes and programming KNOWLEDGE, SKILLS AND ABILITIES Ability to foster a cooperative work environment Ability to provide sound legal advice and counsel to senior university officials on a wide range of legal and policy issues Knowledge of the range of applicable laws and regulations which impact on all facets of university policy and operations Ability to analyze and interpret issues and to prepare legal opinions Ability to communicate and interact with officials at all levels of government Requirements: MINIMUM QUALIFICATIONS Juris Doctorate (J.D.) from an accredited U.S. law school and current license to practice in the State of Massachusetts, or eligibility to apply for admission at the time of application Minimum of ten (10) years of progressive responsibility in higher education or public-sector law, or equivalent combination of education and experience Knowledge of and familiarity with applicable regulations, laws and statutes governing employment and higher education, including but not limited to Titles IV, VI, VII and IX, as well as ADA, FLSA, and FMLA Experience operating in a collective bargaining environment Strong skills in legal research and analysis Excellent verbal and written communication skills and the ability to organize work to meet established deadlines while maintaining attention to detail Demonstrated ability to develop and maintain positive and professional relationships with a diverse range of internal and external community members with differing education, ethnic and socio-economic backgrounds Proven ability to serve as a trusted advisor to senior leadership, exercising exceptional judgment and discretion in complex and sensitive matters with significant institutional impact Maintains required training, licensure and/or certifications PREFERRED QUALIFICATIONS Previous work experience with higher education or public sector law with specialization in employment law and contract review Current or previous experience in the Commonwealth of Massachusetts Additional Information: Please note MassArt: Does not support employment-based visa sponsorship or non-student exchange visitor visa sponsorship. Is not an E-Verify institution. Selected candidates must be eligible to work in the US at the time of employment, complete all onboarding tasks including a Criminal Offender Record Information (CORI) and Sex Offender Registry Information (SORI) background review and provide proof of eligibility to work in the US by completing the Form 19, Immigration Reform and Control Act of 1986. You are required to show proof of your identity and employment eligibility within three (3) days of the start of your employment. You will not be authorized to work in any capacity until all paperwork has been completed. For a list of all acceptable documents please click here . Comprehensive Benefits (does not apply to contractor/student positions) : When you embark on a career with the Commonwealth, you are offered an outstanding suite of employee benefits that add to the overall value of your compensation package. We take pride in providing a work experience that supports you, your loved ones, and your future. Want the specifics? Please click here to view MassArt Benefits. MassArt provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, gender identity or expression, age, sexual orientation, national origin, ancestry, disability, military status, genetic information, pregnancy or a pregnancy-related condition, or membership in any other legally protected class. MassArt complies with all applicable federal, state and local laws governing nondiscrimination in employment in every location in which the college operates. This policy applies to all terms and conditions of employment. About the Institution Founded in 1873, Massachusetts College of Art and Design (MassArt), is the nation's first and only independent, free-standing public college of art and design. MassArt is an inclusive community of thinkers, doers, makers, educators, innovators, and leaders striving to shape the future through art and design. Located in Boston's hub of arts and culture along the Avenue of the Arts, MassArt enrolls 2,000 students and offers a comprehensive range of undergraduate and graduate degrees in 18 disciplines, as well as continuing education and youth programs. MassArt is a diverse and inclusive campus community that prepares artists, designers, and educators from diverse backgrounds to shape communities, economies, and cultures for the common good. The College offers twenty-two areas of concentration in fine arts, design and art education, and awards one undergraduate degree, the Bachelor of Fine Arts, and graduate degrees including the Master of Fine Arts, the Master of Art in Teaching, Master of Education, Master of Design Innovation, and the Master of Architecture. The college also offers certificate programs in Communication Design, Fashion Design, Furniture Design, and Industrial Design. The College is accredited by the New England Commission of Higher Education (NECHE), the National Architecture Accrediting Board (NAAB) and the Massachusetts Department of Elementary & Secondary Education (DESE) and is a member of the Association of Independent College of Art and Design (AICAD) the ProArts Consortium and the Colleges of the Fenway, a collaboration of five neighboring Boston-based colleges in the Fenway area. Living in the Area With a population of nearly 700,000, Boston often feels like a small town with the perks of city life. It is a cosmopolitan city offering cultural diversity, a rich culinary and arts scene, and proximity to world-class schools, employers and health care. It is on the cutting edge of medicine and technology but traditional in its love of sports and the city's deep history. With a modern, attractive, and completely walkable downtown, Boston is dotted with Revolutionary period historic sites along the Freedom Trail and preserved old streetscapes mixed in with modern commercial office buildings. The scenic Charles River offers endless opportunities for outdoor activities. Arts and culture amenities in downtown Boston and the entire surrounding area are exceptional, and most, like the Boston Pops and the Museum of Fine Arts, are well known beyond the city limits. The surrounding suburbs offer an excellent alternative to city living with access to a well-used commuter rail system. Each neighborhood has its own town center that is functional, accessible by the rail system, and filled with local businesses. Education, at all levels, is outstanding in Boston and the surrounding areas. Public schools are nationally recognized and are a driver for people moving to the area. Additionally, the entire Boston Metro area is centrally located near everything Massachusetts and the Northeast has to offer - skiing in New Hampshire, beaches in Cape Cod, and trips to New York City are all only 2 to 3 hours away. Why Work at MassArt? Massachusetts College of Art and Design offers a dynamic, inclusive, and creative work environment with a comprehensive benefits package, including: Health Insurance : Medical insurance along with life insurance, and long-term disability through the Commonwealth's Group Insurance Commission (GIC). MetLife Dental and vision coverage is also offered through MetLife Retirement Plans: Participation in the Massachusetts State Employees' Retirement System and additional optional savings plans including 403b and 457b plans Flexible Spending Accounts: Healthcare spending account as well as a dependent care assistance program. Both are pre-tax annual use or lose programs Employee Assistance Program: AllOne Health is our EAP provider offering a variety of free confidential assistance to all our employees Generous Paid Leave: Vacation, sick, and personal Other Leaves: FMLA, PFML, and other state or federal programs Commuter Transit and Parking Benefits: Qualified transportation program allows use of pre-tax dollars to purchase passes, a monthly subsidy for non-drivers, and access to Longwood Medical Area shuttles Professional Development : Access to training, workshops, and creative resources Campus Perks: Free admission to the MassArt Art Museum (MAAM), cultural events, and employee discounts at local museums Work-Life Balance: Wellness programs and flexible scheduling options (where applicable) Collaborative Culture: Join a mission-driven community committed to equity, innovation, and the arts Application Instructions: To Apply For full consideration, please apply by June 8, 2026. Please apply through the application link and do not email applications. Applications will be reviewed as they are received and should include a cover letter and curriculum vita. Ideally cover letters should not exceed two pages. All applications are treated confidentially. Inquiries, referrals, and nominations are also treated confidentially. Inquiries and questions: Please send to MassArtGC@acesrch.com. Nominations and referrals: Please send the nominee's name, title, and contact information if available to nominations@acesrch.com. Salary range for this position: $190,000-$200,000. URL: https://acesrch.applicantstack.com/x/detail/a21esjy9jm8r Institutional Information MassArt provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, gender identity or expression, age, sexual orientation, national origin, ancestry, disability, military status, genetic information, pregnancy or a pregnancy-related condition, or membership in any other legally protected class. MassArt complies with all applicable federal, state, and local laws governing nondiscrimination in employment in every location in which the college operates. This policy applies to all terms and conditions of employment. PLEASE APPLY ON THE ACES SEARCH SITE TO BE CONSIDERED. APPLICANTS WILL ONLY BE CONSIDERED ON THE ACES SEARCH FIRM PAGE. URL: acesrch.applicantstack.com/x/detail/a21esjy9jm8r General Counsel", "summaryDescription" : "General Counsel at MassArt", "createdAt" : "2026-06-14T19:48:13.315", "lastUpdated" : "2026-06-16T02:55:18.844", "ingestTimestamp" : "2026-06-14T19:48:13.315", "mongoId" : "69f2d9bf4c40e2acd1890363", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 190000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "69164db570f0b99d586f37eb", "title" : "Applied Scientist, Artificial General Intelligence", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Artificial Intelligence", "salary" : { "min" : 136000.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, Massachusetts, USA", "locations" : [ "Boston, Massachusetts, USA" ], "timestamp" : "2026-06-15T00:42:08.023", "fingerprint" : "ba2363b76c64bd389081fed392850ee90aa60de9673906009085f35c498e9ed8", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3120585/apply", "externalId" : "a451d8d5-8643-498d-8dfa-8e7d748ada8a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, C++, Python, Unix, Linux", "professionalSkills" : [ "Algorithms", "Data structures", "Numerical optimization", "Data mining", "Distributed computing", "High-performance computing" ], "hardSkillsList" : [ "Supervised fine-tuning", "Reinforcement learning", "Generative AI" ], "hardSkills" : [ { "name" : "Supervised fine-tuning", "level" : "intermediate" }, { "name" : "Reinforcement learning", "level" : "intermediate" }, { "name" : "Generative AI", "level" : "intermediate" } ], "majorSkills" : "Artificial General Intelligence, Generative AI, Machine Learning", "majorSkillsList" : [ "Artificial General Intelligence", "Generative AI", "Machine Learning" ], "coreResponsibilities" : "Collaborate with cross-functional teams, Identify and solve complex problems, Design and execute experiments, Evaluate algorithm performance, Iterate quickly to improve results, Think big about Gen AI development, Identify new opportunities for Gen AI, Apply technologies to solve problems, Communicate results and insights, Present findings to audiences, Write technical reports", "teamCollaboration" : "Cross-functional teams; Engineers; Product managers; Scientists", "domainKnowledge" : "Generative AI; Artificial General Intelligence", "domainList" : [ "generative-ai", "artificial-general-intelligence" ], "domainSpecificKnowledge" : [ "Generative AI", "Artificial General Intelligence" ], "communicationSkills" : "Technical presentations; Written reports", "documentationSkills" : "Written reports", "innovationCreativity" : "Think big about development", "problemSolvingSkills" : "Solve complex problems", "qualificationsBasic" : "3+ years building models, Master's degree and 4+ years experience, Programming in Java, C++, Python, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing", "qualificationsPreferred" : "Experience using Unix/Linux", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Artificial General Intelligence (AGI) team is looking for a highly skilled and experienced Applied Scientist, to support the development and implementation of state-of-the-art algorithms and models for supervised fine-tuning and reinforcement learning through human feedback and and complex reasoning; with a focus across text, image, and video modalities. As an Applied Scientist, you will play a critical role in supporting the development of Generative AI (Gen AI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences. Key job responsibilities Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in Gen AI Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results Think big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist, Artificial General Intelligence at Amazon.com Services LLC. Skills: Artificial General Intelligence, Generative AI, Machine Learning. Collaborate with cross-functional teams. Identify and solve complex problems", "postedDate" : "2026-06-12T23:26:00.453", "createdAt" : "2026-06-12T23:26:00.453", "lastUpdated" : "2026-06-15T00:42:08.023", "ingestTimestamp" : "2026-06-12T23:26:00.453", "mongoId" : "69164db570f0b99d586f37eb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3120585/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 223400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Supervised fine-tuning", "Reinforcement learning", "Generative AI", "Artificial General Intelligence", "Machine Learning", "Algorithms", "Data structures", "Numerical optimization", "Data mining", "Distributed computing", "High-performance computing" ], "skillCount" : 11, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "69c94a869bc74574cbbb4fce", "title" : "AI Data Associate with French, Artificial General Intelligence", "company" : "Nuqtat Al Taknalojia", "industry" : "Editorial, Writing, Content Management, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 14000.0, "max" : 21000.0, "currency" : "JOD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level AI Data Associate in Amman, Jordan, adjusted for the technology industry." }, "location" : "Amman, JOR", "locations" : [ "Amman, JOR" ], "timestamp" : "2026-06-15T05:01:54.377", "fingerprint" : "ad2d49ff487163aacefdc53014997ed4813a87a786c0f0f88f633639f3a4eb33", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3194879/apply", "externalId" : "cc2ec4fe-e346-4d4e-8a58-b765b3eed02c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amman", "state" : "Amman", "country" : "Jordan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "31.9515694,35.9239625" } ], "locationText" : "Amman, Amman, Jordan", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "professionalSkills" : [ "Dialogue evaluation", "Data labeling" ], "hardSkillsList" : [ "Labeling tasks", "Root cause analysis", "Error pattern identification" ], "softSkillsList" : [ "Individuality", "Creative mind" ], "hardSkills" : [ { "name" : "Labeling tasks", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Error pattern identification", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Individuality" }, { "name" : "Creative mind" } ], "majorSkills" : "Data labeling, AI data", "majorSkillsList" : [ "Data labeling", "AI data" ], "coreResponsibilities" : "Maintain strict confidentiality, Work with different data types, Deliver high-quality labelled data, Generate high quality human insight data, Make sound judgments, Make logical decisions, Pivot from one category to another, Support daily operational deliverables, Analyze root causes, Identify error patterns, Propose solutions to enhance quality, Identify process issues, Identify operational issues, Suggest changes to unblock operations, Provide floor support, Clarify internal queries", "domainKnowledge" : "Generative AI; Large language models", "domainList" : [ "generative-ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Generative AI", "Large language models" ], "toolProficiency" : [ "In-house tools", "Common business applications" ], "communicationSkills" : "Professional correspondence", "documentationSkills" : "Create reports; Create proposals", "innovationCreativity" : "Think out of the box", "problemSolvingSkills" : "Structured problem-solving", "outcomesObjectives" : "Meet our KPIs", "qualificationsBasic" : "Associate's Degree or related work experience, B1+ English fluency, C1+ French fluency, Business writing skills, Advanced reading comprehension, Developed analytical thinking, Structured problem-solving capabilities, Interpret and implement detailed instructions, Proficient research skills, Proven attention to detail", "qualificationsPreferred" : "Bachelor's degree in a relevant field, 2+ years professional work experience, Leverage open-source resources effectively, Adapt to fast-paced environments, 2-3 years project coordination experience, 2-3 years project management experience, Manage stakeholder relationships, Advanced Microsoft Office Suite proficiency", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on! Key job responsibilities - Maintain and follow strict confidentiality as customer privacy is our most important tenet - Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video - Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly. - Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. - Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. - Eye for detail and ability to pivot from one category of requirement to another instantaneously. - Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team - Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs. - Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations - Demonstrate ownership in floor support to clarify internal queries during execution on need basis. A day in the life We are looking for an AI Data Associate to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications: - An Associate’s Degree or related work experience - Good working knowledge (B1+) in both spoken and written English - C1+ or equivalent fluency in French language - Strong business writing skills with ability to create reports, proposals, and professional correspondence - Advanced reading comprehension with ability to analyze complex business documents - Developed analytical thinking and structured problem-solving capabilities - Strong ability to interpret and implement detailed instructions across various projects - Proficient research skills with experience gathering and synthesizing information from multiple sources - Proven attention to detail in managing complex tasks and documents Preferred Qualifications: - Bachelor’s degree in a relevant field - 2+ years of professional work experience with demonstrated task execution ability - Proven capacity to leverage open-source resources effectively for comprehensive research purposes • Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy - 2-3 years project coordination or management experience - Experience managing stakeholder relationships across departments - Advanced proficiency in Microsoft Office Suite and common business applications. Our inclusive culture empowers Amazonians to deliver the best results for our customers Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "AI Data Associate with French, Artificial General Intelligence at Nuqtat Al Taknalojia. Skills: Data labeling, AI data. Maintain strict confidentiality. Work with different data types", "postedDate" : "2026-06-13T16:26:37.662", "createdAt" : "2026-06-13T16:26:37.662", "lastUpdated" : "2026-06-15T05:01:54.377", "ingestTimestamp" : "2026-06-13T16:26:37.662", "mongoId" : "69c94a869bc74574cbbb4fce", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3194879/apply", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Labeling tasks", "Root cause analysis", "Error pattern identification", "Individuality", "Creative mind", "Data labeling", "AI data", "Dialogue evaluation", "Generative AI", "Large language models", "In-house tools", "Common business applications" ], "skillCount" : 12, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "693c2b8e70f0b99d5843ff59", "title" : "AI Language Engineer, Artificial General Intelligence", "company" : "Amazon Development Center", "industry" : "Data Science, Language Engineer, alexa and amazon devices", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for AI Language Engineer in The Hague, Netherlands, adjusted for mid-seniority and a large technology company." }, "location" : "The Hague, South Holland, NLD", "locations" : [ "The Hague, South Holland, NLD" ], "timestamp" : "2026-06-15T05:37:34.802", "fingerprint" : "9a822857869afd9ffbed7cb53ab692094dfce677d3a1b071e8eb305868b9bae1", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3138311/apply", "externalId" : "50132834-abb1-42b5-ac77-7378470875e7", "industryFunction" : { }, "structuredLocations" : [ { "city" : "The Hague", "state" : "South Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.0799838,4.3113461" } ], "locationText" : "The Hague, South Holland, Netherlands", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 2, "technicalSkills" : "Python, SQL, R, Matlab", "professionalSkills" : [ "Computational Linguistics", "language data processing", "AI data creation", "multimodal datasets", "synthetic data generation", "model-supported data generation", "human-in-the-loop data collections", "AI models" ], "hardSkillsList" : [ "data annotation", "data markup", "scripting languages", "data analysis", "data creation" ], "hardSkills" : [ { "name" : "data annotation", "level" : "intermediate" }, { "name" : "data markup", "level" : "intermediate" }, { "name" : "scripting languages", "level" : "intermediate" }, { "name" : "data analysis", "level" : "intermediate" }, { "name" : "data creation", "level" : "intermediate" } ], "majorSkills" : "AI Language Engineering, Data Services, AGI", "majorSkillsList" : [ "AI Language Engineering", "Data Services", "AGI" ], "coreResponsibilities" : "Design complex data collections, author instructions, define quality targets, implement quality mechanisms, coordinate data collection efforts, plan data collection, schedule data collection, report data collection, Design data creation tasks, conduct data creation tasks, Analyze data, extract insights from data, Build tools for data analysis, Build tools for data creation, Use modeling tools, bootstrap AI functionalities, test AI functionalities, Collaborate with scientists, Collaborate with software engineers, Collaborate with data creators, evaluate performance of AI models", "teamCollaboration" : "cross-functional teams; product managers; engineers; data scientists", "projectManagementSkills" : [ "agile development" ], "domainKnowledge" : "Computational Linguistics; language data processing; AI data creation; multimodal data; speech data; text data; AI models", "domainList" : [ "computational-linguistics", "language-data-processing", "ai-data-creation", "multimodal-data", "speech-data", "text-data", "ai-models" ], "domainSpecificKnowledge" : [ "Computational Linguistics", "language data processing", "AI data creation", "multimodal data", "speech data", "text data", "AI models" ], "innovationCreativity" : "driving innovation; advancing the state-of-the-art", "problemSolvingSkills" : "analytical skills; problem solving skills", "qualificationsBasic" : "Master's degree, 2+ years experience, language data annotation systems, Proficient with Python, speech, text, and multimodal data, multiple languages", "qualificationsPreferred" : "PhD in Computational Linguistics, bootstrapping AI data collections, Extensive experience with speech, text, and multimodal data, data creation for complex agentic workflows, Practical experience with Machine Learning, Familiarity with technical concepts, Practical knowledge of version control, agile development, database queries and data analysis processes, support several projects, accept reprioritization, think creatively, analytical and problem solving skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Amazon Artificial General Intelligence (AGI) Data Services organization is responsible for developing diverse datasets to train and evaluate the Amazon AI models. We are looking for Language Engineers to join our science and engineering team to support the development of complex, multimodal datasets, using a range of approaches including synthetic data generation, model-supported data generation, and human-in-the-loop data collections. You will play a critical role in driving innovation and advancing the state-of-the-art in evaluating and training AI models. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are best in class. Key job responsibilities - Design complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables - Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state-of-the-art approaches - Analyze and extract insights from large amounts of data - Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language - Use modeling tools to bootstrap or test new AI functionalities - Collaborate with scientists, software engineers, and other data creators to evaluate performance of AI models About the team Amazon strives to be the world’s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our customers, that enables them to build advanced ML models. Basic Qualifications: - Master's or higher degree in a relevant field (Computational Linguistics or equivalent field with computational analysis) - 2+ years experience in computational linguistics or language data processing or AI data creation - Experience with language data annotation systems and other forms of data markup - Proficient with scripting languages, such as Python - Experience working with speech, text, and multimodal data in multiple languages - Excellent communication, strong organizational skills and very detailed oriented - Comfortable working in a fast paced, highly collaborative, dynamic work environment Preferred Qualifications: - PhD in Computational Linguistics (or equivalent field with computational emphasis) - Expertise in bootstrapping AI data collections for quickly evolving requirements - Extensive experience working with speech, text, and multimodal data in multiple languages - Experience in data creation for complex agentic workflows - Practical experience with Machine Learning - Familiarity with technical concepts such as APIs - Practical knowledge of version control and agile development - Familiarity with database queries and data analysis processes (SQL, R, Matlab, etc.) - Willingness to support several projects at one time, and to accept reprioritization as necessary - Able to think creatively and possess strong analytical and problem solving skills Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "AI Language Engineer, Artificial General Intelligence at Amazon Development Center. Skills: AI Language Engineering, Data Services, AGI. Design complex data collections. author instructions", "postedDate" : "2026-06-13T16:03:19.844", "createdAt" : "2026-06-13T16:03:19.844", "lastUpdated" : "2026-06-15T05:37:34.802", "ingestTimestamp" : "2026-06-13T16:03:19.844", "mongoId" : "693c2b8e70f0b99d5843ff59", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3138311/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "data annotation", "data markup", "scripting languages", "data analysis", "data creation", "AI Language Engineering", "Data Services", "AGI", "Computational Linguistics", "language data processing", "AI data creation", "multimodal datasets", "synthetic data generation", "model-supported data generation", "human-in-the-loop data collections", "AI models", "agile development", "multimodal data", "speech data", "text data" ], "skillCount" : 20, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "693c2b8e70f0b99d5843ff57", "title" : "Language Engineer, Artificial General Intelligence", "company" : "Evi Technologies Limited", "industry" : "Data Science, Language Engineer, alexa and amazon devices", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Language Engineer in Cambridge, UK, adjusted for the technology industry and company size." }, "location" : "Cambridge, England, GBR", "locations" : [ "Cambridge, England, GBR" ], "timestamp" : "2026-06-15T01:34:56.044", "fingerprint" : "307b1c0acb0a7b5465452cc53d72237042abc4d9699a478745bc6b2f7b0f9f31", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3138317/apply", "externalId" : "eddef2ec-f47a-45c9-80a1-3d7e7e41c75a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cambridge", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.1975846,0.1391537" } ], "locationText" : "Cambridge, England, United Kingdom", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 2, "technicalSkills" : "Python, R, Matlab", "professionalSkills" : [ "Computational Linguistics", "Language data processing", "AI data creation", "Data analysis", "Data creation" ], "hardSkillsList" : [ "Data annotation", "Data markup", "Synthetic data generation", "Model-supported data generation", "Human-in-the-loop data collections" ], "hardSkills" : [ { "name" : "Data annotation", "level" : "intermediate" }, { "name" : "Data markup", "level" : "intermediate" }, { "name" : "Synthetic data generation", "level" : "intermediate" }, { "name" : "Model-supported data generation", "level" : "intermediate" }, { "name" : "Human-in-the-loop data collections", "level" : "intermediate" } ], "majorSkills" : "Language Engineering, AI model training, Dataset development", "majorSkillsList" : [ "Language Engineering", "AI model training", "Dataset development" ], "coreResponsibilities" : "Design complex data collections, Author instructions, Define quality targets, Implement quality targets, Provide day-to-day coordination, Plan data collection, Schedule data collection, Report on data collection, Be responsible for final deliverables, Design data creation tasks, Conduct data creation tasks, Analyze data, Extract insights from data, Build tools for data analysis, Build tools for data creation, Use modeling tools, Bootstrap AI functionalities, Test AI functionalities, Evaluate performance of AI models", "teamCollaboration" : "Cross-functional teams; Product managers; Engineers; Data scientists; Scientists; Software engineers; Data creators", "projectManagementSkills" : [ "Agile development" ], "domainKnowledge" : "Artificial General Intelligence; Multimodal datasets; Computational Linguistics; Language data processing; AI data creation; Agentic workflows", "domainList" : [ "artificial-general-intelligence", "multimodal-datasets", "computational-linguistics", "language-data-processing", "ai-data-creation", "agentic-workflows" ], "domainSpecificKnowledge" : [ "Artificial General Intelligence", "Multimodal datasets", "Computational Linguistics", "Language data processing", "AI data creation", "Agentic workflows" ], "communicationSkills" : "Excellent communication", "innovationCreativity" : "Driving innovation; Advancing state-of-the-art", "problemSolvingSkills" : "Problem solving skills", "qualificationsBasic" : "Master's or higher degree, 2+ years experience, language data annotation systems, Proficient with scripting languages, Experience with speech, text, and multimodal data, Excellent communication skills, Organizational skills, Very detailed oriented", "qualificationsPreferred" : "PhD in Computational Linguistics, Expertise in bootstrapping AI data collections, Extensive experience with speech, text, and multimodal data, Experience in data creation for complex agentic workflows, Practical experience with Machine Learning, Familiarity with technical concepts such as APIs, Practical knowledge of version control, Practical knowledge of agile development, Familiarity with database queries, Familiarity with data analysis processes, Willingness to support several projects, Accept reprioritization as necessary, Able to think creatively, Possess analytical skills, Possess problem solving skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Amazon Artificial General Intelligence (AGI) Data Services organization is responsible for developing diverse datasets to train and evaluate the Amazon AI models. We are looking for Language Engineers to join our science and engineering team to support the development of complex, multimodal datasets, using a range of approaches including synthetic data generation, model-supported data generation, and human-in-the-loop data collections. You will play a critical role in driving innovation and advancing the state-of-the-art in evaluating and training AI models. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are best in class. Key job responsibilities - Design complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables - Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state-of-the-art approaches - Analyze and extract insights from large amounts of data - Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language - Use modeling tools to bootstrap or test new AI functionalities - Collaborate with scientists, software engineers, and other data creators to evaluate performance of AI models About the team Amazon strives to be the world’s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our customers, that enables them to build advanced ML models. Basic Qualifications: - Master's or higher degree in a relevant field (Computational Linguistics or equivalent field with computational analysis) - 2+ years experience in computational linguistics or language data processing or AI data creation - Experience with language data annotation systems and other forms of data markup - Proficient with scripting languages, such as Python - Experience working with speech, text, and multimodal data in multiple languages - Excellent communication, strong organizational skills and very detailed oriented - Comfortable working in a fast paced, highly collaborative, dynamic work environment Preferred Qualifications: - PhD in Computational Linguistics (or equivalent field with computational emphasis) - Expertise in bootstrapping AI data collections for quickly evolving requirements - Extensive experience working with speech, text, and multimodal data in multiple languages - Experience in data creation for complex agentic workflows - Practical experience with Machine Learning - Familiarity with technical concepts such as APIs - Practical knowledge of version control and agile development - Familiarity with database queries and data analysis processes (SQL, R, Matlab, etc.) - Willingness to support several projects at one time, and to accept reprioritization as necessary - Able to think creatively and possess strong analytical and problem solving skills Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Language Engineer, Artificial General Intelligence at Evi Technologies Limited. Skills: Language Engineering, AI model training, Dataset development. Design complex data collections. Author instructions", "postedDate" : "2026-06-13T02:14:00.593", "createdAt" : "2026-06-13T02:14:00.593", "lastUpdated" : "2026-06-15T01:34:56.044", "ingestTimestamp" : "2026-06-13T02:14:00.593", "mongoId" : "693c2b8e70f0b99d5843ff57", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3138317/apply", "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data annotation", "Data markup", "Synthetic data generation", "Model-supported data generation", "Human-in-the-loop data collections", "Language Engineering", "AI model training", "Dataset development", "Computational Linguistics", "Language data processing", "AI data creation", "Data analysis", "Data creation", "Agile development", "Artificial General Intelligence", "Multimodal datasets", "Agentic workflows" ], "skillCount" : 17, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "693c2b8370f0b99d5843f932", "title" : "Language Engineer, Artificial General Intelligence", "company" : "ADCI HYD 16 SEZ", "industry" : "Data Science, Language Engineer, Artificial Intelligence", "salary" : { "min" : 1150000.0, "max" : 1750000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Language Engineer in Hyderabad, India, adjusted for the technology industry and company size." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T01:23:35.544", "fingerprint" : "d7d52ec411392abce5c7051ea925c475a2daf10b3ef40db26268fdb6ecc74f7b", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3138312/apply", "externalId" : "58bea2aa-e768-4e6b-9a8f-50e0081e6218", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 2, "technicalSkills" : "Python, SQL, R, Matlab", "professionalSkills" : [ "Data creation", "Data analysis", "AI model evaluation", "AI model training" ], "hardSkillsList" : [ "Language data processing", "Computational linguistics", "Data annotation", "Scripting", "Machine Learning", "Database queries", "Data analysis" ], "softSkillsList" : [ "Excellent communication", "Organizational skills", "Detailed oriented" ], "hardSkills" : [ { "name" : "Language data processing", "level" : "intermediate" }, { "name" : "Computational linguistics", "level" : "intermediate" }, { "name" : "Data annotation", "level" : "intermediate" }, { "name" : "Scripting", "level" : "intermediate" }, { "name" : "Machine Learning", "level" : "intermediate" }, { "name" : "Database queries", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Excellent communication" }, { "name" : "Organizational skills" }, { "name" : "Detailed oriented" } ], "majorSkills" : "Language Engineering, Data Services, AI Model Training, Data Collection", "majorSkillsList" : [ "Language Engineering", "Data Services", "AI Model Training", "Data Collection" ], "coreResponsibilities" : "Design complex data collections with human participants, Author instructions, Define quality targets, Implement quality targets, Provide day-to-day coordination of data collection efforts, Plan data collection, Schedule data collection, Report on data collection, Be responsible for final deliverables, Design data creation tasks using synthetic generation, Design data creation tasks using model-based generation, Conduct data creation tasks, Analyze large amounts of data, Extract insights from large amounts of data, Build tools for data analysis, Build tools for data creation, Use modeling tools to bootstrap AI functionalities, Use modeling tools to test AI functionalities, Collaborate with scientists, Collaborate with software engineers, Collaborate with other data creators, Evaluate performance of AI models", "teamCollaboration" : "Cross-functional teams; Product managers; Engineers; Data scientists", "projectManagementSkills" : [ "Agile development" ], "domainKnowledge" : "Computational Linguistics; Language data processing; AI data creation; Multimodal data; Agentic functions", "domainList" : [ "computational-linguistics", "language-data-processing", "ai-data-creation", "multimodal-data", "agentic-functions" ], "domainSpecificKnowledge" : [ "Computational Linguistics", "Language data processing", "AI data creation", "Multimodal data", "Agentic functions" ], "communicationSkills" : "Excellent communication", "innovationCreativity" : "Driving innovation; Advancing state-of-the-art", "problemSolvingSkills" : "Analytical skills; Problem solving skills", "qualificationsBasic" : "Experience owning and executing language data collection projects, Master's or higher degree in a relevant field, 2+ years experience in computational linguistics or language data processing or AI data creation, Experience with language data annotation systems, Proficient with scripting languages, Experience working with speech, text, and multimodal data in multiple languages", "qualificationsPreferred" : "PhD in Computational Linguistics, Expertise in bootstrapping AI data collections, Practical experience with Machine Learning, Practical knowledge of version control, Practical knowledge of agile development, Practical knowledge of database queries, Practical knowledge of data analysis processes, Able to think creatively, Possess analytical and problem solving skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Amazon Artificial General Intelligence (AGI) Data Services organization is responsible for developing diverse datasets to train and evaluate the Amazon AI models. We are looking for Language Engineers to join our science and engineering team to support the development of complex, multimodal datasets, using a range of approaches including synthetic data generation, model-supported data generation, and human-in-the-loop data collections. You will play a critical role in driving innovation and advancing the state-of-the-art in evaluating and training AI models. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are best in class. Key job responsibilities - Design complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables - Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state-of-the-art approaches - Analyze and extract insights from large amounts of data - Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language - Use modeling tools to bootstrap or test new AI functionalities - Collaborate with scientists, software engineers, and other data creators to evaluate performance of AI models About the team Amazon strives to be the world’s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our customers, that enables them to build advanced ML models. Basic Qualifications: - Experience owning and executing language data collection projects, including guidelines, labelset and annotation workflow development - Master's or higher degree in a relevant field (Computational Linguistics or equivalent field with computational analysis) - 2+ years experience in computational linguistics or language data processing or AI data creation - Experience with language data annotation systems and other forms of data markup - Proficient with scripting languages, such as Python - Experience working with speech, text, and multimodal data in multiple languages - Excellent communication, strong organizational skills and very detailed oriented - Comfortable working in a fast paced, highly collaborative, dynamic work environment Preferred Qualifications: - PhD in Computational Linguistics (or equivalent field with computational emphasis) - Expertise in bootstrapping AI data collections for quickly evolving requirements, including for complex agentic functions - Practical experience with Machine Learning and technical concepts such as APIs - Practical knowledge of version control, agile development, database queries and data analysis processes (SQL, R, Matlab, etc.) - Able to think creatively and possess strong analytical and problem solving skills Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Language Engineer, Artificial General Intelligence at ADCI HYD 16 SEZ. Skills: Language Engineering, Data Services, AI Model Training, Data Collection. Design complex data collections with human participants. Author instructions", "postedDate" : "2026-06-13T02:11:25.891", "createdAt" : "2026-06-13T02:11:25.891", "lastUpdated" : "2026-06-15T01:23:35.544", "ingestTimestamp" : "2026-06-13T02:11:25.891", "mongoId" : "693c2b8370f0b99d5843f932", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3138312/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Language data processing", "Computational linguistics", "Data annotation", "Scripting", "Machine Learning", "Database queries", "Data analysis", "Excellent communication", "Organizational skills", "Detailed oriented", "Language Engineering", "Data Services", "AI Model Training", "Data Collection", "Data creation", "AI model evaluation", "AI model training", "Agile development", "Computational Linguistics", "AI data creation", "Multimodal data", "Agentic functions" ], "skillCount" : 22, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2ca5f474d8ee00a09b8c6e", "title" : "General Counsel", "company" : "Nooks", "industry" : "Government", "salary" : { "min" : 350000.0, "max" : 600000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for General Counsel in Arlington, United States, adjusted for executive seniority and technology industry." }, "location" : "Arlington, Virginia, United States", "locations" : [ "Arlington", "Virginia", "United States" ], "timestamp" : "2026-06-15T13:23:36.924", "fingerprint" : "b68d39151e620fdd079689922daa95f71aaa889efcd24a363b8d82649ecc3a8c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/nooks/jobs/4203030009", "externalId" : "4203030009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Juris Doctor", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "professionalSkills" : [ "Legal advisory", "Risk management", "Compliance oversight", "Contract lifecycle management", "Corporate governance", "Litigation strategy", "Dispute resolution", "Strategic transactions", "Workforce legal matters", "Board-level strategy" ], "hardSkillsList" : [ "Legal analysis", "Regulatory interpretation", "Contract drafting", "Lease negotiations", "Cap table management", "SEC compliance" ], "softSkillsList" : [ "Leadership", "Decision-maker" ], "hardSkills" : [ { "name" : "Legal analysis", "level" : "intermediate" }, { "name" : "Regulatory interpretation", "level" : "intermediate" }, { "name" : "Contract drafting", "level" : "intermediate" }, { "name" : "Lease negotiations", "level" : "intermediate" }, { "name" : "Cap table management", "level" : "intermediate" }, { "name" : "SEC compliance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Decision-maker" } ], "majorSkills" : "Legal strategy, Risk mitigation, Compliance programs", "majorSkillsList" : [ "Legal strategy", "Risk mitigation", "Compliance programs" ], "coreResponsibilities" : "Serve as primary legal advisor, Translate regulatory landscapes, Design strategy for counsel execution, Manage outside counsel relationships, Build legal function from ground up, Hire and develop legal team, Design workflows and tools, Own risk identification and mitigation, Develop risk management framework, Architect compliance programs, Oversee contract lifecycle, Lead legal strategy for expansion, Advise Board of Directors, Manage cap table, Lead legal execution of transactions, Manage litigation strategy, Partner on workforce legal matters, Contribute to company strategy", "teamCollaboration" : "Executive leadership; Board of Directors; People/HR leadership; Operations teams; Sales teams", "domainKnowledge" : "Classified Infrastructure-as-a-Service; CMMC; ITAR; FAR/DFARS; Federal regulations; Commercial regulations; National security regulations; Defense regulations", "domainList" : [ "classified-infrastructure-as-a-service", "cmmc", "itar", "far-dfars", "federal-regulations", "commercial-regulations", "national-security-regulations", "defense-regulations" ], "domainSpecificKnowledge" : [ "Classified Infrastructure-as-a-Service", "CMMC", "ITAR", "FAR/DFARS", "Federal regulations", "Commercial regulations", "National security regulations", "Defense regulations" ], "communicationSkills" : "Business guidance; Board-level conversations", "problemSolvingSkills" : "Ambiguity resolution", "specialRequirements" : "Onsite 4 days per week, Maintain security clearance", "outcomesObjectives" : "Enable Nooks to move fast; Deliver legal as a function; Ensure audit-ready status", "qualificationsBasic" : "7+ years legal experience, Juris Doctor degree, Virginia or DC Bar member, Eligible to work in U.S, Maintain Secret clearance eligibility", "qualificationsPreferred" : "Big Law foundation, In-house tenure at high-growth startup, Experience building legal function, Command of corporate finance, Command of equity compensation, Command of governance, Deep command of defense regulations, Deep command of national security regulations, Ability to obtain security clearance", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "ABOUT NOOKS Are you seeking an exciting and unique opportunity to grow and support our national security? As a startup, we are offering a limited-time opportunity to be an equity owner in a pioneering new industry. Nooks is pioneering Classified Infrastructure-as-a-Service (CIaaS) to provide government and industry partners with the fastest, most efficient access to classified infrastructure. We are building a nationwide network of accredited classified spaces and systems, ensuring that the best technologies equip our nation’s warfighters. At Nooks, we value innovation, collaboration, and a service-first mindset. ABOUT THE ROLE Nooks is seeking a General Counsel (GC) to serve as a core strategic leader as we scale the world's first nationwide network of classified infrastructure. Reporting directly to the CEO and seated at the executive table, you will build our legal function from the ground up — from strategy through systems. This is a greenfield builder role: there is no existing in-house team, no inherited playbook, and no margin for a compliance-first, risk-averse mindset. You will own the legal architecture that enables Nooks to move fast across a genuinely complex regulatory environment — one where the frameworks are often antiquated, the gray areas are wide, and the stakes are high. Your job is not to default to 'no.' It is to find the path forward. You will know when to execute in-house, when to deploy outside counsel, and why — and you will build the internal infrastructure, workflows, and team to deliver legal as a function the business wants to engage with, not route around. If you are a hungry, growth-oriented legal leader who sees early-stage equity and exponential scale as the opportunity of a career — and you are ready to build something consequential — this is your seat. KEY RESPONSIBILITIES: Serve as primary legal advisor to the CEO and Executive Team; translate complex, often ambiguous regulatory landscapes into clear, actionable business guidance that advances growth rather than constraining it. Design and own the strategy for in-house versus outside counsel execution — determining which competencies to build internally, which to retain externally, and managing outside counsel relationships for cost, quality, and outcomes. Build the legal function from the ground up: hire and develop in-house legal talent; design workflows, tools, and intake processes that allow Operations and Sales to engage with legal efficiently and without friction. Own proactive risk identification and mitigation across Nooks' operational and commercial exposure — particularly product liability and litigation risk stemming from classified infrastructure failure — before claims arise, not after. Develop and implement a novel, company-specific risk management framework; the application at Nooks will not mirror existing industry models and requires original design thinking. Architect and continuously refine compliance programs across CMMC, ITAR, FAR/DFARS, and applicable federal and commercial regulatory regimes; identify gray areas and develop defensible positions that enable innovation. Oversee the end-to-end contract lifecycle for high-stakes customer, vendor, partnership, and government agreements — from drafting through negotiation, execution, and dispute resolution. Lead legal strategy for physical expansion: sophisticated lease negotiations, zoning, and site accreditation compliance across a growing nationwide footprint of classified facilities. Advise the Board of Directors on fiduciary obligations, corporate governance, and evolving compliance standards; manage cap table and all board-level legal materials. Lead legal execution of strategic transactions — investments, joint ventures, financing rounds — ensuring audit-ready status for SEC-level compliance and future M manage all litigation strategy and dispute resolution. Partner with People/HR leadership on workforce legal matters: executive agreements, multi-state employment compliance, and policy design as headcount scales. Operate as a genuine executive stakeholder — contributing to company strategy, growth decisions, and board-level conversations beyond the legal lane. THE SKILLSET: 7+ years of progressive legal experience; Big Law foundation followed by meaningful in-house tenure at a high-growth startup or technology company strongly preferred. Proven track record of proactive risk identification and mitigation, particularly in product liability or infrastructure-failure scenarios involving government and/or commercial counterparties. Experience building or materially scaling an in-house legal function, including hiring, structuring, and designing workflows and tools that make legal accessible and efficient for operational and commercial teams. Strong command of corporate finance, equity compensation structures, and governance — including cap table management, board materials, and SEC-adjacent compliance. Player-coach mentality: comfortable owning board-level strategy and granular contract drafting in the same day. High conviction decision-maker under ambiguity. Juris Doctor (JD) from an accredited law school; active member in good standing of the Virginia or DC Bar (or eligible for immediate Corporate Counsel registration). Ability to obtain and maintain a U. S. security clearance; active clearance is a plus but not required at time of hire. Location: National Landing (Arlington, VA); expected onsite 4 days per week with some additional flexibility *In addition to base salary compensation as outlined below, also eligible for discretionary bonus plus equity options. PREFERRED: Deep command of defense and national security regulatory frameworks — Cybersecurity Maturity Model Certification (CMMC), International Traffic in Arms Regulations (ITAR), Federal Acquisition Regulation (FAR)/Defense Federal Acquisition Regulation Supplement (DFARS) — with demonstrated ability to identify gray areas and design workable compliance paths rather than defaulting to prohibition. ELIGIBILITY + CLEARANCE: You must be eligible to work in the U. S. Candidates must be capable of maintaining eligibility up to the Secret level within 45 days of hire.", "summaryDescription" : "General Counsel at Nooks. Skills: Legal strategy, Risk mitigation, Compliance programs. Serve as primary legal advisor. Translate regulatory landscapes", "postedDate" : "2026-06-14T08:58:27.207", "createdAt" : "2026-06-14T08:58:27.207", "lastUpdated" : "2026-06-15T13:23:36.924", "ingestTimestamp" : "2026-06-14T08:58:27.207", "mongoId" : "6a2ca5f474d8ee00a09b8c6e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 350000, "salaryAnnualMax" : 600000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Legal analysis", "Regulatory interpretation", "Contract drafting", "Lease negotiations", "Cap table management", "SEC compliance", "Leadership", "Decision-maker", "Legal strategy", "Risk mitigation", "Compliance programs", "Legal advisory", "Risk management", "Compliance oversight", "Contract lifecycle management", "Corporate governance", "Litigation strategy", "Dispute resolution", "Strategic transactions", "Workforce legal matters", "Board-level strategy", "Classified Infrastructure-as-a-Service", "CMMC", "ITAR", "FAR/DFARS", "Federal regulations", "Commercial regulations", "National security regulations", "Defense regulations" ], "skillCount" : 29, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a660f74d8ee00a062bcbd", "title" : "ML Data Associate-II, Artificial General Intelligence", "company" : "ADCI HYD 16 SEZ - H83", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 750000.0, "max" : 1200000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for ML Data Associate-II in Hyderabad, India, adjusted for junior seniority and the technology industry." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T01:59:57.103", "fingerprint" : "c40460f3a3a9468c3b1d7401ee2b9748a017128726eb4a768c1fd0301657a030", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10441779/apply", "externalId" : "b425680b-c562-478d-93a7-3e0452418c86", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Dialogue evaluation" ], "hardSkillsList" : [ "Data labeling" ], "softSkillsList" : [ "Individuality", "Creative mind" ], "hardSkills" : [ { "name" : "Data labeling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Individuality" }, { "name" : "Creative mind" } ], "majorSkills" : "Generative AI, Large language models", "majorSkillsList" : [ "Generative AI", "Large language models" ], "coreResponsibilities" : "Maintain strict confidentiality, Work with different data types, Deliver high-quality labelled data, Meet our KPIs, Demonstrate proficiency in generating human insight data, Make sound judgments, Make logical decisions, Demonstrate support on daily operational deliverables, Analyze root causes, Identify error patterns, Propose solutions to enhance quality, Identify process issues, Suggest changes to unblock operations, Demonstrate ownership in floor support, Clarify internal queries", "domainKnowledge" : "Human-technology interaction", "domainList" : [ "human-technology-interaction" ], "domainSpecificKnowledge" : [ "Human-technology interaction" ], "communicationSkills" : "Professional correspondence", "documentationSkills" : "Create reports; Create proposals", "innovationCreativity" : "Think out of the box", "problemSolvingSkills" : "Structured problem-solving", "specialRequirements" : "Fixed term contractual role", "outcomesObjectives" : "Meet our KPIs", "qualificationsBasic" : "Knowledge of Hindi grammar, Bachelor's degree, business writing skills, Advanced reading comprehension, Developed analytical thinking, structured problem-solving capabilities, ability to interpret detailed instructions, Proficient research skills", "qualificationsPreferred" : "Knowledge of advanced English, 2+ years of professional work experience, Proven capacity to leverage open-source resources, Ability to adapt well to fast-paced environments, 1+ years project coordination experience, Experience managing stakeholder relationships, Advanced proficiency in Microsoft Office Suite", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on! This is a fixed term contractual role for 12 months. Key job responsibilities • Maintain and follow strict confidentiality as customer privacy is our most important tenet • Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video • Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly. • Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. • Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. • Eye for detail and ability to pivot from one category of requirement to another instantaneously. • Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team • Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs. • Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations • Demonstrate ownership in floor support to clarify internal queries during execution on need basis A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications: - Knowledge of Hindi grammar and spelling (both written and verbal) - Bachelor's degree - Strong business writing skills with ability to create reports, proposals, and professional correspondence - Advanced reading comprehension with ability to analyze complex business documents - Developed analytical thinking and structured problem-solving capabilities - Strong ability to interpret and implement detailed instructions across various projects - Proficient research skills with experience gathering and synthesizing information from multiple sources - Proven attention to detail in managing complex tasks and documents Preferred Qualifications: - Knowledge of advanced English at CEFR level B2/C1 - 2+ years of professional work experience with demonstrated task execution ability - Proven capacity to leverage open-source resources effectively for comprehensive research purposes - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy - 1+ years project coordination or management experience - Experience managing stakeholder relationships across departments - Advanced proficiency in Microsoft Office Suite and common business application Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "ML Data Associate-II, Artificial General Intelligence at ADCI HYD 16 SEZ - H83. Skills: Generative AI, Large language models. Maintain strict confidentiality. Work with different data types", "postedDate" : "2026-06-13T02:54:01.444", "createdAt" : "2026-06-13T02:54:01.444", "lastUpdated" : "2026-06-15T01:59:57.103", "ingestTimestamp" : "2026-06-13T02:54:01.444", "mongoId" : "6a2a660f74d8ee00a062bcbd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10441779/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data labeling", "Individuality", "Creative mind", "Generative AI", "Large language models", "Dialogue evaluation", "Human-technology interaction" ], "skillCount" : 7, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "693c2b8e70f0b99d5843ff56", "title" : "Language Engineer, Artificial General Intelligence", "company" : "Evi Technologies Limited", "industry" : "Data Science, Language Engineer, alexa and amazon devices", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Language Engineer in Cambridge, UK, adjusted for the technology industry and company size." }, "location" : "Cambridge, England, GBR", "locations" : [ "Cambridge, England, GBR" ], "timestamp" : "2026-06-15T01:41:26.212", "fingerprint" : "8fd94f9fd092fd71b403d047b684cdea96a36de2cd4d35080dd11d5e09c0ec57", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3138318/apply", "externalId" : "fd33c1ca-5b9d-46f7-b3be-766a70dd5b12", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cambridge", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.1975846,0.1391537" } ], "locationText" : "Cambridge, England, United Kingdom", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 2, "technicalSkills" : "Python, R, Matlab, APIs", "professionalSkills" : [ "Language data processing", "AI data creation", "Data analysis", "Data creation" ], "hardSkillsList" : [ "Computational linguistics", "Speech processing", "Text processing", "Multimodal data" ], "hardSkills" : [ { "name" : "Computational linguistics", "level" : "intermediate" }, { "name" : "Speech processing", "level" : "intermediate" }, { "name" : "Text processing", "level" : "intermediate" }, { "name" : "Multimodal data", "level" : "intermediate" } ], "majorSkills" : "Language engineering, Data services, AI models", "majorSkillsList" : [ "Language engineering", "Data services", "AI models" ], "coreResponsibilities" : "Design complex data collections, Author instructions, Define quality targets, Implement quality mechanisms, Coordinate data collection efforts, Plan data collection, Schedule data collection, Report on data collection, Be responsible for final deliverables, Design data creation tasks, Conduct data creation tasks, Analyze data, Extract insights from data, Build tools for data analysis, Build tools for data creation, Use modeling tools, Bootstrap AI functionalities, Test AI functionalities, Evaluate performance of AI models", "teamCollaboration" : "Cross-functional teams; Product managers; Engineers; Data scientists; Scientists; Software engineers; Data creators", "projectManagementSkills" : [ "Agile development" ], "domainKnowledge" : "Artificial General Intelligence; Multimodal datasets; Synthetic data generation; Model-supported data generation; Human-in-the-loop data collections; AI models; Agentic workflows", "domainList" : [ "artificial-general-intelligence", "multimodal-datasets", "synthetic-data-generation", "model-supported-data-generation", "human-in-the-loop-data-collections", "ai-models", "agentic-workflows" ], "domainSpecificKnowledge" : [ "Artificial General Intelligence", "Multimodal datasets", "Synthetic data generation", "Model-supported data generation", "Human-in-the-loop data collections", "AI models", "Agentic workflows" ], "innovationCreativity" : "Driving innovation; Advancing state-of-the-art", "problemSolvingSkills" : "Problem solving skills", "qualificationsBasic" : "Master's or higher degree, 2+ years experience, Experience with language data annotation systems, Proficient with scripting languages, Experience working with speech, text, and multimodal data", "qualificationsPreferred" : "PhD in Computational Linguistics, Expertise in bootstrapping AI data collections, Extensive experience working with speech, text, and multimodal data, Experience in data creation for complex agentic workflows, Practical experience with Machine Learning, Familiarity with technical concepts such as APIs, Practical knowledge of version control, Practical knowledge of agile development, Familiarity with database queries, Familiarity with data analysis processes, Willingness to support several projects, Able to think creatively, Possess analytical skills, Possess problem solving skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Amazon Artificial General Intelligence (AGI) Data Services organization is responsible for developing diverse datasets to train and evaluate the Amazon AI models. We are looking for Language Engineers to join our science and engineering team to support the development of complex, multimodal datasets, using a range of approaches including synthetic data generation, model-supported data generation, and human-in-the-loop data collections. You will play a critical role in driving innovation and advancing the state-of-the-art in evaluating and training AI models. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are best in class. Key job responsibilities - Design complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables - Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state-of-the-art approaches - Analyze and extract insights from large amounts of data - Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language - Use modeling tools to bootstrap or test new AI functionalities - Collaborate with scientists, software engineers, and other data creators to evaluate performance of AI models About the team Amazon strives to be the world’s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our customers, that enables them to build advanced ML models. Basic Qualifications: - Master's or higher degree in a relevant field (Computational Linguistics or equivalent field with computational analysis) - 2+ years experience in computational linguistics or language data processing or AI data creation - Experience with language data annotation systems and other forms of data markup - Proficient with scripting languages, such as Python - Experience working with speech, text, and multimodal data in multiple languages - Excellent communication, strong organizational skills and very detailed oriented - Comfortable working in a fast paced, highly collaborative, dynamic work environment Preferred Qualifications: - PhD in Computational Linguistics (or equivalent field with computational emphasis) - Expertise in bootstrapping AI data collections for quickly evolving requirements - Extensive experience working with speech, text, and multimodal data in multiple languages - Experience in data creation for complex agentic workflows - Practical experience with Machine Learning - Familiarity with technical concepts such as APIs - Practical knowledge of version control and agile development - Familiarity with database queries and data analysis processes (SQL, R, Matlab, etc.) - Willingness to support several projects at one time, and to accept reprioritization as necessary - Able to think creatively and possess strong analytical and problem solving skills Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Language Engineer, Artificial General Intelligence at Evi Technologies Limited. Skills: Language engineering, Data services, AI models. Design complex data collections. Author instructions", "postedDate" : "2026-06-13T00:20:01.678", "createdAt" : "2026-06-13T00:20:01.678", "lastUpdated" : "2026-06-15T01:41:26.212", "ingestTimestamp" : "2026-06-13T00:20:01.678", "mongoId" : "693c2b8e70f0b99d5843ff56", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3138318/apply", "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Computational linguistics", "Speech processing", "Text processing", "Multimodal data", "Language engineering", "Data services", "AI models", "Language data processing", "AI data creation", "Data analysis", "Data creation", "Agile development", "Artificial General Intelligence", "Multimodal datasets", "Synthetic data generation", "Model-supported data generation", "Human-in-the-loop data collections", "Agentic workflows" ], "skillCount" : 18, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a308586f292fd229c079a37", "title" : "Senior Counsel, Privacy & AI Governance (EMEA)", "company" : "Applied Intuition", "industry" : "Business Functions", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Counsel, Privacy & AI Governance in Germany, adjusted for seniority, industry, and company size." }, "location" : "STG-Heßbrühlstraße", "locations" : [ "STG-Heßbrühlstraße" ], "timestamp" : "2026-06-16T14:20:59.740", "fingerprint" : "85bbe69b2a70131f0bdfa3d5a65cac54acf7c4b128b5db5060c881606568f6c6", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/applied/b7dd9b16-3390-4e7c-a9d0-f396e2cc838f/application", "externalId" : "b7dd9b16-3390-4e7c-a9d0-f396e2cc838f", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Germany", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Germany", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "ABOUT APPLIED INTUITION Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co http://applied.co. We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. ABOUT THE ROLE Reporting to the General Counsel, the Senior Counsel, Privacy & AI Governance will lead Applied Intuition’s global privacy and AI governance efforts and serve as a key legal partner to Product, Engineering, Data Science, Security, and Go-to-Market. You will own the company’s privacy program end-to-end, advise on GDPR, CCPA/CPRA, cross-border data transfers, and privacy impact assessments, and help build the policies, frameworks, and processes needed to support responsible AI development and deployment, including compliance with the EU AI Act and other emerging requirements. You will also partner closely with Regulatory Affairs, outside counsel, regulators, and standards bodies, while building the data governance infrastructure needed to scale the business. AT APPLIED INTUITION, YOU WILL: - Own and operationalize the global privacy program across the company - Lead AI governance strategy, policy development, and implementation - Advise Product, Engineering, Data Science, Security, and Go-to-Market teams on privacy, data protection, and responsible AI issues - Conduct privacy and AI impact assessments and support regulatory compliance efforts worldwide - Advise on cross-border data transfers, SCCs, adequacy frameworks, and other transfer mechanisms - Manage engagement with data protection authorities, outside counsel, regulators, and standards bodies - Build and maintain data mapping, records of processing activities, consent frameworks, and vendor privacy diligence processes - Support commercial transactions and product launches requiring privacy review WE’RE LOOKING FOR SOMEONE WHO HAS: - 8+ years of law firm and/or in-house experience, with substantial privacy and data protection focus - Deep experience advising on GDPR and CCPA/CPRA compliance programs - Experience with data processing agreements and cross-border data transfer mechanisms, including SCCs and adequacy frameworks - Experience with AI regulatory requirements, including the EU AI Act or similar emerging frameworks - Experience advising on machine learning data use, training data governance, algorithmic bias and fairness, and transparency obligations - Experience in a technology company in-house role, or in a dedicated privacy and data security practice at a law firm - J.D. from an accredited law school and active membership in at least one state bar NICE TO HAVE: - CIPP/E, CIPP/US, or equivalent privacy certification - Experience with autonomous systems, sensor data, and the privacy implications of physical AI - Experience spanning both law firm and in-house practice Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.", "summaryDescription" : "Senior Counsel, Privacy & AI Governance (EMEA) at Applied Intuition", "createdAt" : "2026-06-16T01:59:25.034", "lastUpdated" : "2026-06-16T14:20:59.740", "ingestTimestamp" : "2026-06-16T01:59:25.034", "mongoId" : "6a308586f292fd229c079a37", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "693c2b8e70f0b99d5843ff58", "title" : "AI Language Engineer, Artificial General Intelligence", "company" : "Amazon Development Center (Netherlands) B. V.", "industry" : "Data Science, Language Engineer, alexa and amazon devices", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for AI Language Engineer in The Hague, Netherlands, adjusted for mid-seniority and the technology industry." }, "location" : "The Hague, South Holland, NLD", "locations" : [ "The Hague, South Holland, NLD" ], "timestamp" : "2026-06-15T03:54:30.682", "fingerprint" : "526b423c09cdca1f58712e93b8ff4a51eed2232a14cda2b3440232bb8ed82ed8", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3138313/apply", "externalId" : "99c9d5e1-1fd1-4596-91ea-6557d3153769", "industryFunction" : { }, "structuredLocations" : [ { "city" : "The Hague", "state" : "South Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.0799838,4.3113461" } ], "locationText" : "The Hague, South Holland, Netherlands", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, Ruby, Perl, SQL, R, MATLAB, APIs, Machine Learning", "professionalSkills" : [ "Language annotation", "Data markup", "Computational linguistics", "Language data processing", "AI data creation", "Multimodal data", "Synthetic data generation", "Model-supported data generation", "Human-in-the-loop data collections", "Data analysis", "Data creation" ], "hardSkillsList" : [ "Data collection design", "Quality targets", "Data analysis", "Data creation", "AI model evaluation", "AI model training" ], "softSkillsList" : [ "Analytical", "Problem solving" ], "hardSkills" : [ { "name" : "Data collection design", "level" : "intermediate" }, { "name" : "Quality targets", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data creation", "level" : "intermediate" }, { "name" : "AI model evaluation", "level" : "intermediate" }, { "name" : "AI model training", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Problem solving" } ], "majorSkills" : "Language Engineering, Data Services, AI Models", "majorSkillsList" : [ "Language Engineering", "Data Services", "AI Models" ], "coreResponsibilities" : "Design complex data collections with human participants, Author instructions, Define quality targets and mechanisms, Implement quality targets and mechanisms, Provide day-to-day coordination of data collection efforts, Plan data collection, Schedule data collection, Report on data collection, Be responsible for final deliverables, Design complex data creation tasks using synthetic and, Conduct complex data creation tasks using synthetic and, Analyze large amounts of data, Extract insights from large amounts of data, Build tools for data analysis, Build tools for data creation, Build tool prototypes for data analysis, Build tool prototypes for data creation, Use modeling tools to bootstrap new AI functionalities, Use modeling tools to test new AI functionalities, Collaborate with scientists, software engineers, and other data, Evaluate performance of AI models", "teamCollaboration" : "Cross-functional teams; Product managers; Engineers; Data scientists", "projectManagementSkills" : [ "Agile development" ], "domainKnowledge" : "Computational linguistics; Language data processing; AI data creation; Speech data; Text data; Multimodal data; Agentic workflows; AI models", "domainList" : [ "computational-linguistics", "language-data-processing", "ai-data-creation", "speech-data", "text-data", "multimodal-data", "agentic-workflows", "ai-models" ], "domainSpecificKnowledge" : [ "Computational linguistics", "Language data processing", "AI data creation", "Speech data", "Text data", "Multimodal data", "Agentic workflows", "AI models" ], "communicationSkills" : "Excellent communication", "innovationCreativity" : "Driving innovation; Advancing state-of-the-art", "problemSolvingSkills" : "Analytical; Problem solving", "qualificationsBasic" : "Advanced degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field, Experience with language annotation and other forms of data markup, Knowledge of one or more scripting languages (e. g. , Python, Ruby, Perl), 2+ years experience in computational linguistics or language data processing or AI data creation, Experience working with speech, text, and multimodal data in multiple languages, Excellent communication, organizational skills and very detailed oriented, Comfortable working in a fast paced, highly collaborative, dynamic work environment", "qualificationsPreferred" : "Experience with database queries and data analysis processes (SQL, R, MATLAB, etc. ), or Unix, PhD in Computational Linguistics (or equivalent field with computational emphasis), Expertise in bootstrapping AI data collections for quickly evolving requirements, Extensive experience working with speech, text, and multimodal data in multiple languages, Experience in data creation for complex agentic workflows, Practical experience with Machine Learning, Familiarity with technical concepts such as APIs, Practical knowledge of version control and agile development, Willingness to support several projects at one time, and to accept reprioritization as necessary, Able to think creatively and possess analytical and problem solving skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Amazon Artificial General Intelligence (AGI) Data Services organization is responsible for developing diverse datasets to train and evaluate the Amazon AI models. We are looking for Language Engineers to join our science and engineering team to support the development of complex, multimodal datasets, using a range of approaches including synthetic data generation, model-supported data generation, and human-in-the-loop data collections. You will play a critical role in driving innovation and advancing the state-of-the-art in evaluating and training AI models. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are best in class. Key job responsibilities - Design complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables - Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state-of-the-art approaches - Analyze and extract insights from large amounts of data - Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language - Use modeling tools to bootstrap or test new AI functionalities - Collaborate with scientists, software engineers, and other data creators to evaluate performance of AI models About the team Amazon strives to be the world’s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our customers, that enables them to build advanced ML models. Basic Qualifications: - Advanced degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field - Experience with language annotation and other forms of data markup - Knowledge of one or more scripting languages (e.g., Python, Ruby, Perl) - 2+ years experience in computational linguistics or language data processing or AI data creation - Experience working with speech, text, and multimodal data in multiple languages - Excellent communication, strong organizational skills and very detailed oriented - Comfortable working in a fast paced, highly collaborative, dynamic work environment Preferred Qualifications: - Experience with database queries and data analysis processes (SQL, R, MATLAB, etc.), or Unix - PhD in Computational Linguistics (or equivalent field with computational emphasis) - Expertise in bootstrapping AI data collections for quickly evolving requirements - Extensive experience working with speech, text, and multimodal data in multiple languages - Experience in data creation for complex agentic workflows - Practical experience with Machine Learning - Familiarity with technical concepts such as APIs - Practical knowledge of version control and agile development - Willingness to support several projects at one time, and to accept reprioritization as necessary - Able to think creatively and possess strong analytical and problem solving skills Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "AI Language Engineer, Artificial General Intelligence at Amazon Development Center (Netherlands) B. V.. Skills: Language Engineering, Data Services, AI Models. Design complex data collections with human participants. Author instructions", "postedDate" : "2026-06-13T11:47:51.500", "createdAt" : "2026-06-13T11:47:51.500", "lastUpdated" : "2026-06-15T03:54:30.682", "ingestTimestamp" : "2026-06-13T11:47:51.500", "mongoId" : "693c2b8e70f0b99d5843ff58", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3138313/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data collection design", "Quality targets", "Data analysis", "Data creation", "AI model evaluation", "AI model training", "Analytical", "Problem solving", "Language Engineering", "Data Services", "AI Models", "Language annotation", "Data markup", "Computational linguistics", "Language data processing", "AI data creation", "Multimodal data", "Synthetic data generation", "Model-supported data generation", "Human-in-the-loop data collections", "Agile development", "Speech data", "Text data", "Agentic workflows", "AI models" ], "skillCount" : 25, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "69d140072beec4dd3ddbe38b", "title" : "AI Data Associate with French, Artificial General Intelligence", "company" : "Nuqtat Al Taknalojia", "industry" : "Editorial, Writing, Content Management, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 14000.0, "max" : 21000.0, "currency" : "JOD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level AI Data Associate in Amman, Jordan, adjusted for the technology industry." }, "location" : "Amman, JOR", "locations" : [ "Amman, JOR" ], "timestamp" : "2026-06-15T08:38:13.361", "fingerprint" : "a32757108b6ec23bf0dc7289f88612463af121f225532d9cc1e562c0e5a9157f", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10383394/apply", "externalId" : "5fef0a95-5247-4890-983d-b737ed0915dd", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amman", "state" : "Amman", "country" : "Jordan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "31.9515694,35.9239625" } ], "locationText" : "Amman, Amman, Jordan", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "professionalSkills" : [ "Dialogue evaluation", "Data labeling" ], "hardSkillsList" : [ "Labeling tasks", "Root cause analysis", "Error pattern identification" ], "softSkillsList" : [ "Individuality", "Creative mind" ], "hardSkills" : [ { "name" : "Labeling tasks", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Error pattern identification", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Individuality" }, { "name" : "Creative mind" } ], "majorSkills" : "Data labeling, AI data", "majorSkillsList" : [ "Data labeling", "AI data" ], "coreResponsibilities" : "Maintain strict confidentiality, Work with different data types, Deliver high-quality labelled data, Meet KPIs, Generate human insight data, Make sound judgments, Make logical decisions, Pivot from one category to another, Support daily operational deliverables, Analyze root causes, Identify error patterns, Propose solutions, Enhance labeling quality, Identify process issues, Identify operational issues, Suggest changes to unblock operations, Provide floor support, Clarify internal queries", "teamCollaboration" : "Diverse team", "domainKnowledge" : "Artificial General Intelligence; Generative AI; Large language models", "domainList" : [ "artificial-general-intelligence", "generative-ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Artificial General Intelligence", "Generative AI", "Large language models" ], "toolProficiency" : [ "In-house tools" ], "communicationSkills" : "Business writing; Professional correspondence", "innovationCreativity" : "Think out of the box", "problemSolvingSkills" : "Structured problem-solving", "outcomesObjectives" : "Meet our KPIs", "qualificationsBasic" : "Associate's Degree or related work experience, B1+ English fluency, C1+ French fluency, Business writing skills, Advanced reading comprehension, Developed analytical thinking, Structured problem-solving capabilities, Interpret and implement detailed instructions, Proficient research skills, Proven attention to detail", "qualificationsPreferred" : "Bachelor's degree in a relevant field, 2+ years professional work experience, Leverage open-source resources effectively, Adapt to fast-paced environments, 2-3 years project coordination experience, 2-3 years project management experience, Manage stakeholder relationships, Advanced Microsoft Office Suite proficiency", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on! Key job responsibilities - Maintain and follow strict confidentiality as customer privacy is our most important tenet - Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video - Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly. - Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. - Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. - Eye for detail and ability to pivot from one category of requirement to another instantaneously. - Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team - Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs. - Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations - Demonstrate ownership in floor support to clarify internal queries during execution on need basis. A day in the life We are looking for an AI Data Associate to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications: - An Associate’s Degree or related work experience - Good working knowledge (B1+) in both spoken and written English - C1+ or equivalent fluency in French language - Strong business writing skills with ability to create reports, proposals, and professional correspondence - Advanced reading comprehension with ability to analyze complex business documents - Developed analytical thinking and structured problem-solving capabilities - Strong ability to interpret and implement detailed instructions across various projects - Proficient research skills with experience gathering and synthesizing information from multiple sources - Proven attention to detail in managing complex tasks and documents Preferred Qualifications: - Bachelor’s degree in a relevant field - 2+ years of professional work experience with demonstrated task execution ability - Proven capacity to leverage open-source resources effectively for comprehensive research purposes • Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy - 2-3 years project coordination or management experience - Experience managing stakeholder relationships across departments - Advanced proficiency in Microsoft Office Suite and common business applications. Our inclusive culture empowers Amazonians to deliver the best results for our customers Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "AI Data Associate with French, Artificial General Intelligence at Nuqtat Al Taknalojia. Skills: Data labeling, AI data. Maintain strict confidentiality. Work with different data types", "postedDate" : "2026-06-13T11:14:50.756", "createdAt" : "2026-06-13T11:14:50.756", "lastUpdated" : "2026-06-15T08:38:13.361", "ingestTimestamp" : "2026-06-13T11:14:50.756", "mongoId" : "69d140072beec4dd3ddbe38b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10383394/apply", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Labeling tasks", "Root cause analysis", "Error pattern identification", "Individuality", "Creative mind", "Data labeling", "AI data", "Dialogue evaluation", "Artificial General Intelligence", "Generative AI", "Large language models", "In-house tools" ], "skillCount" : 12, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69d059fd2beec4dd3dbf37a9", "title" : "Associate Deputy General Counsel", "company" : "DCAMM", "industry" : "Government", "salary" : { "min" : 155000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-seniority Associate Deputy General Counsel in Boston, United States, adjusted for the government industry." }, "location" : "Massachusetts-Boston", "locations" : [ "Massachusetts-Boston", "Legal Services", "Division of Capital Asset Management, Full-time, Full-time" ], "certifications" : [ "Mass. Bar admission" ], "timestamp" : "2026-06-15T08:23:47.669", "fingerprint" : "cdb286e4a7568370338c7c36b895dee2f30cce6a9ec1b337ac2d18ab32a94f82", "source" : "taleo", "language" : "en", "applyUrl" : "https://massanf.taleo.net/careersection/ex/jobdetail.ftl?job=1080015", "externalId" : "1080015", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Legal analysis", "Risk management", "Compliance oversight", "Real estate law", "Commercial transactions", "Contract drafting", "Negotiation" ], "hardSkillsList" : [ "Real estate acquisition", "Real estate disposition", "Permitting", "Contract negotiation", "Legal research", "Memorandum preparation", "Report preparation" ], "softSkillsList" : [ "Team member" ], "hardSkills" : [ { "name" : "Real estate acquisition", "level" : "intermediate" }, { "name" : "Real estate disposition", "level" : "intermediate" }, { "name" : "Permitting", "level" : "intermediate" }, { "name" : "Contract negotiation", "level" : "intermediate" }, { "name" : "Legal research", "level" : "intermediate" }, { "name" : "Memorandum preparation", "level" : "intermediate" }, { "name" : "Report preparation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Team member" } ], "majorSkills" : "Commercial real estate, Transaction negotiation, Contract drafting", "majorSkillsList" : [ "Commercial real estate", "Transaction negotiation", "Contract drafting" ], "coreResponsibilities" : "Provide legal advice, Engage in negotiations, Draft documents for transactions, Resolve title matters, Advise on deal structure, Draft documents for PPP team, Draft documents for lease procurement, Amend lease agreements, Resolve lease disputes, Undertake legal research, Prepare memoranda, Prepare materials, Work on public presentations, Attend public hearings, Coordinate with other agencies, Coordinate with officials, Assist General Counsel, Respond to inquiries, Perform other duties", "teamCollaboration" : "Members of other departments; Outside agencies; Municipal officials; State officials", "domainKnowledge" : "Commercial real estate law; Public-Private Partnerships; State real estate law; Public project certification", "domainList" : [ "commercial-real-estate-law", "public-private-partnerships", "state-real-estate-law", "public-project-certification" ], "domainSpecificKnowledge" : [ "Commercial real estate law", "Public-Private Partnerships", "State real estate law", "Public project certification" ], "communicationSkills" : "Public presentations; Written communication", "documentationSkills" : "Draft agreements; Draft memoranda; Draft reports", "qualificationsBasic" : "Juris Doctor (JD) degree, Admission to Massachusetts Bar, 6 years of legal experience", "qualificationsPreferred" : "7-12 years commercial real estate experience, Experience with complex real estate transactions, Experience with complex leasing deals, Experience with public private partnerships, State and municipal permitting experience, Ability to coordinate efforts under time constraints, Knowledge of state laws and regulations, Thorough knowledge of negotiation principles, Excellent oral communication skills, Excellent written communication skills", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "DCAMM’S Mission The Division of Capital Asset Management and Maintenance (DCAMM) oversees over $2 billion in capital programs and projects, and is responsible for capital planning, project delivery, property acquisitions, dispositions, management, and real estate services for the Commonwealth. DCAMM is the steward of all of the Commonwealth’s assets, which include 5.5 million square feet of state buildings. As an agency, we care for the people of our state and the future of our planet. We are responsible for all real estate activities, including acquisitions dispositions and leasing, managing over 100 transactions each year. We work with state agencies to create and manage forward-thinking, sustainable buildings to meet the needs of the Commonwealth’s citizens and help achieve a zero-carbon future. We are partners with, and advisors to, fellow agencies to help them meet their strategic needs with fiscally responsible building and real estate solutions. We support the growth of the Commonwealth’s economy and actively engage with private sector partners to make it easier to do business with the Commonwealth. We work to expand access, opportunity, and equity to create more inclusive services, planning and outcomes for all the citizens of the Commonwealth. Position Summary: DCAMM is looking for an attorney to join DCAMM's Office of the General Counsel (OGC). This team member will provide the highest quality legal advice to OGC to enable it to efficiently perform its statutory functions. This position seeks an experienced commercial real estate attorney for sophisticated multi-party complex transactions, including acquisition and disposition of Commonwealth real property, permitting and licensing and the certification of eligible contractors to perform work on public projects. This enables OGC to perform a critical and active role in developing and implementing DCAMM’s policies with respect to all real estate, construction, certification and associated actions. The Counsel III will be expected to draft high-quality agreements, memoranda, reports and other documents, and to negotiate the same in the best interest of the Commonwealth; work closely with members of DCAMM’s senior staff to ensure that all actions of DCAMM are authorized by applicable laws, regulations and guidelines; respond to legislative and public requests and prepare briefings and other analyses; interact with appointed officials in the executive branch; be responsible for staying abreast of rapidly evolving legal issues, precedents, rulings and statutes impacting DCAMM’s operations; and follow a hybrid work model that consists of both in-office and work from home days. Detailed Statement of Duties and Responsibilities: Provide legal advice, engage in negotiations and draft documents associated with a high volume of complex, commercial real estate acquisition and disposition transactions, which may include resolving title matters and deed restrictions. Provide legal advice, engage in negotiations, advise on deal structure and draft documents for the Public-Private Partnership team associated with the complex redevelopment of state assets (state office buildings, higher education campuses, health and human services campuses, etc.). Provide legal advice and draft documents associated with the procurement, amendment and resolution of disputes regarding the lease of space for the use of user agencies within the Commonwealth. Undertake legal research and prepare memoranda and other materials. Work on public presentations, attend public hearings and meet and coordinate with other agencies and appointed and elected officials across Massachusetts. Assist the General Counsel in providing strategic and overall management for all DCAMM projects. Respond to inquiries from municipal and elected officials and the executive branch (including the Governor’s Office). Demonstrate the ability to work as a team member that may include members of other departments and outside agencies and municipal and state officials. Perform such other duties as may be required to assist the General Counsel and/or Deputy General Counsels. Preferred Qualifications: This position requires a J.D. degree and Mass. Bar admission Experience in commercial real estate law (not residential) - 7 - 12 years preferred Experience working on complex real estate transactions, including drafting and negotiations Experience working on complex leasing deals and negotiations Experience working on public private partnerships State and municipal permitting experience Demonstrated ability to coordinate the efforts of others under tight time constraints Knowledge of state laws and regulations Thorough knowledge of the principles and practices involving negotiations Excellent oral and written communication skills First consideration will be given to those applicants that apply within the first 14 days. MINIMUM ENTRANCE REQUIREMENTS: Applicants must have a Juris Doctor (JD) degree, admission to the Massachusetts Bar Association, and at least (A) six years of full-time, or equivalent part time, professional experience in the practice of law in a specialized area that is relevant to the assigned agency. Based on assignment and supervisory responsibilities, three years in a supervisory capacity may be required. Incumbents may be required to have a current and valid Motor Vehicle Drivers License at a Class level specific to assignment. Comprehensive Benefits When you embark on a career with the Commonwealth, you are offered an outstanding suite of employee benefits that add to the overall value of your compensation package. We take pride in providing a work experience that supports you, your loved ones, and your future. Want the specifics? Explore our Employee Benefits and Rewards! An Equal Opportunity / Affirmative Action Employer. Females, minorities, veterans, and persons with disabilities are strongly encouraged to apply. The Commonwealth is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, color, sex, gender identity or expression, sexual orientation, age, disability, national origin, veteran status, or any other basis covered by appropriate law. Research suggests that qualified women, Black, Indigenous, and Persons of Color (BIPOC) may self-select out of opportunities if they don't meet 100% of the job requirements. We encourage individuals who believe they have the skills necessary to thrive to apply for this role. Counsel III", "summaryDescription" : "Associate Deputy General Counsel at DCAMM. Skills: Commercial real estate, Transaction negotiation, Contract drafting. Provide legal advice. 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As a Senior Applied Scientist, you will play a critical role in driving the development of Generative Artificial Intelligence (GenAI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences. Key job responsibilities - Collaborate with cross-functional teams of engineers and scientists to identify and solve complex GenAI problems in Computer Vision - Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results - Think big about the arc of development of GenAI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems - Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports - Mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the team Basic Qualifications: - PhD, or Master's degree and 5+ years of applied research experience - 4+ years of building machine learning models for business application experience - Experience with neural deep learning methods and machine learning - Experience programming in Java, C++, Python or related language Preferred Qualifications: - PhD in Computer Science, Machine Learning, or a related field; with a focus on GenAI in Computer Vision - Experience with learning multimodal LLMs and GenAI in Computer Vision, both in the image and video domains - Strong programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch - Excellent problem-solving skills, with the ability to think creatively and critically about complex problems - Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams - Experience with patents or publications at top-tier peer-reviewed conferences or journals Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Senior Applied Scientist, Artificial General Intelligence at Amazon.com Services LLC. Skills: Generative AI, Computer Vision, Machine Learning, Deep Learning. Collaborate with cross-functional teams. 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Base pay is one part of our total compensation package at Gotion, and is determined within a range. This provides you with the opportunity to progress as you grow and advance your career at Gotion. The base pay range for this role is shown below, and will depend on your skills, qualifications, experiences, and location. Expected Pay Range $200,000—$300,000 USD Gotion Inc. is proud to be an equal opportunity employer. We are dedicated to fostering a diverse workforce that reflects the communities we serve, cultivating a culture of inclusion and belonging, and ensuring equal employment opportunities for all. We provide equal opportunity to all individuals regardless of race, creed, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related conditions (including breastfeeding), parental status, criminal histories consistent with legal requirements, or any other characteristic protected by law. At Gotion Inc., we strive to create an environment where everyone feels valued, respected, and empowered to thrive.", "summaryDescription" : "General Counsel at Gotion, Inc.. Skills: Corporate law, Compliance oversight. Provide legal counsel. 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to lead the development and implementation of Generative AI (GenAI) algorithms and models for supervised fine-tuning, and advance the state of the art with Large Language Models (LLMs), As a Senior Applied Scientist, you will play a critical role in driving the development of GenAI technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences. Key job responsibilities - Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in GenAI - Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results - Think big about the arc of development of GenAI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems - Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports - Mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the team Basic Qualifications: - PhD, or Master's degree and 5+ years of applied research experience - 4+ years of building machine learning models for business application experience - Experience programming in Java, C++, Python or related language - Experience with popular deep learning frameworks such as MxNet and Tensor Flow. Preferred Qualifications: - PhD in Computer Science, Machine Learning, or a related field, with a focus on Gen AI and reinforcement learning - Demonstrated experience in developing and implementing algorithms and models for supervised fine-tuning and reinforcement learning through human feedback - Strong programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch - Excellent problem-solving skills, with the ability to think creatively and critically about complex problems - Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams - Experience with patents or publications at top-tier peer-reviewed conferences or journals Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. 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S. citizenship is required, Expected to be on camera during interviews and assessments, Identity verification process that leverages advanced biometrics and artificial intelligence", "outcomesObjectives" : "Empower innovation; Drive critical missions; Deliver enduring growth and value; Protect and advance the company’s AI strategy; Help business leadership respond to legal, regulatory, and compliance risks", "qualificationsBasic" : "8+ years of experience in a law firm or in-house legal, Experience with privacy laws, frameworks, best practices, and controls such as GDPR, CCPA, BIPA, and HIPAA, Experience collaborating with cross-functional teams and business leaders to develop comprehensive, business-oriented solutions to problems and tailoring subject matter input to achieve business objectives, Experience negotiating terms and conditions for use of AI technologies, Knowledge Artificial Intelligence, large language models (LLMs), generative AI, emerging AI risk management frameworks, ethical principles, and emerging U. S. , state, and international regulatory regimes, Ability to engage with technical experts and communicate legal obligations to a technical audience, J.D. degree, Active bar admission with any U. S. state bar", "qualificationsPreferred" : "Experience with Federal government contracts, Experience advising on processes and procedures related to artificial intelligence governance, Experience working with technical staff, such as engineers, network architects, technical teams, and developers, Knowledge of AI risk management practices, such as the NIST AI Risk Management Framework, CIPP or AIGP Certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Artificial Intelligence and Privacy Associate General Counsel **The Opportunity** : Are you an attorney who is passionate about Artificial Intelligence (AI) and data privacy? Are you looking to combine your legal knowledge with big picture business thinking to empower innovation, drive critical missions, and deliver enduring growth and value? At Booz Allen, you’ll join a global team of experienced professionals driven to excel and realize values-driven change for our clients, colleagues, and communities. We bring bold thinking to complex challenges across analytics and artificial intelligence, cyber, digital solutions, engineering, and advising, and with industries ranging from defense to health, energy to international development. In this role, you’ll work closely with the Government Markets and Intellectual Property teams to anticipate business needs and develop practical governance structures with agility and action. You’ll establish trusted partnerships with leaders across the company’s Chief Technology Office and collaborate with fellow members of the Legal, Ethics & Compliance team and serve as a thought leader to protect and advance the company’s AI strategy while monitoring and helping business leadership respond to the complex, multifaceted, and often novel legal, regulatory, and compliance risks we face today. Guided by Booz Allen’s purpose and values, together we’ll anticipate and proactively prepare for the issues we’ll encounter tomorrow. Due to the nature of work performed within this facility, U.S. citizenship is required. Ready to join a team of problem-solvers to empower innovation and change? **What You 'll Work On:** * Advise on legal aspects of the AI Risk Management Program. * Review AI initiatives to assess risk, propose and communicate precautions to the business while finding paths to success. * Contribute to our AI policies, risk tolerance, strategy, and ethics in line with our values. * Engage with procurement, risk, technology, cybersecurity, and communications teams to negotiate terms and advise on strategy for legal Business Associate, Data Processing and AI agreements. * Monitor and respond to regulatory changes and federal government directives that impact the use of artificial intelligence. * Apply knowledge of federal agency rules, executive orders, legislation, and contract clauses to artificial intelligence use. * Advise on privacy legal issues from GDPR, CCPA, HIPAA, and other regulations related to data use. Join us. The world can’t wait. **You Have:** * 8+ years of experience in a law firm or in-house legal, with subject areas such as artificial intelligence, risk management, machine learning, or data rights * Experience with privacy laws, frameworks, best practices, and controls such as GDPR, CCPA, BIPA, and HIPAA * Experience collaborating with cross-functional teams and business leaders to develop comprehensive, business-oriented solutions to problems and tailoring subject matter input to achieve business objectives * Experience negotiating terms and conditions for use of AI technologies * Knowledge Artificial Intelligence, large language models (LLMs), generative AI, emerging AI risk management frameworks, ethical principles, and emerging U.S., state, and international regulatory regimes * Ability to engage with technical experts and communicate legal obligations to a technical audience * J.D. degree * Active bar admission with any U.S. state bar **Nice If You Have:** * Experience with Federal government contracts * Experience advising on processes and procedures related to artificial intelligence governance * Experience working with technical staff, such as engineers, network architects, technical teams, and developers * Knowledge of AI risk management practices, such as the NIST AI Risk Management Framework * CIPP or AIGP Certification **Compensation** At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $162,800.00 to $303,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. **Identity Statement** As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. **Candidate AI Usage Policy** AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on **your** own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited **unless permission is explicitly provided**. **Work Model** Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. * **Remote** : If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. * **Hybrid** : If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. * **Onsite** : If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. **Commitment to Non-Discrimination** All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.", "summaryDescription" : "Artificial Intelligence and Privacy Associate General Counsel at Booz Allen. Skills: Artificial Intelligence, Data Privacy, Risk Management, Legal Counsel. Advise on legal aspects of AI Risk Management Program. 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Establish trusted partnerships with leaders across Chief Technology Office; Collaborate with fellow members of the Legal, Ethics & Compliance team; Engage with procurement, risk, technology, cybersecurity, and communications teams; Collaborate with technical staff", "domainKnowledge" : "Artificial Intelligence; Data Privacy; Machine Learning; Federal agency rules; AI Risk Management Framework", "domainList" : [ "artificial-intelligence", "data-privacy", "machine-learning", "federal-agency-rules", "ai-risk-management-framework" ], "domainSpecificKnowledge" : [ "Artificial Intelligence", "Data Privacy", "Machine Learning", "Federal agency rules", "AI Risk Management Framework" ], "communicationSkills" : "Communicate legal obligations to a technical audience", "continuousLearning" : "Professional development; Tuition assistance", "problemSolvingSkills" : "Develop practical governance structures with agility and action; Propose and communicate precautions to the business; Find paths to success", "specialRequirements" : "U. S. citizenship is required, Expected to be on camera during interviews and assessments, May be required to work in person at a Booz Allen or customer facility", "outcomesObjectives" : "Empower innovation; Drive critical missions; Deliver enduring growth and value; Protect and advance the company’s AI strategy; Help business leadership respond to legal, regulatory, and compliance risks", "qualificationsBasic" : "8+ years of experience in a law firm or in-house legal, Experience with privacy laws, frameworks, best practices, and controls such as GDPR, CCPA, BIPA, and HIPAA, Experience collaborating with cross-functional teams and business leaders to develop comprehensive, business-oriented solutions to problems and tailoring subject matter input to achieve business objectives, Experience negotiating terms and conditions for use of AI technologies, Knowledge Artificial Intelligence, large language models (LLMs), generative AI, emerging AI risk management frameworks, ethical principles, and emerging U. S. , state, and international regulatory regimes, Ability to engage with technical experts and communicate legal obligations to a technical audience, J.D. degree, Active bar admission with any U. S. state bar", "qualificationsPreferred" : "Experience with Federal government contracts, Experience advising on processes and procedures related to artificial intelligence governance, Experience working with technical staff, such as engineers, network architects, technical teams, and developers, Knowledge of AI risk management practices, such as the NIST AI Risk Management Framework, CIPP or AIGP Certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Artificial Intelligence and Privacy Associate General Counsel **The Opportunity** : Are you an attorney who is passionate about Artificial Intelligence (AI) and data privacy? Are you looking to combine your legal knowledge with big picture business thinking to empower innovation, drive critical missions, and deliver enduring growth and value? At Booz Allen, you’ll join a global team of experienced professionals driven to excel and realize values-driven change for our clients, colleagues, and communities. We bring bold thinking to complex challenges across analytics and artificial intelligence, cyber, digital solutions, engineering, and advising, and with industries ranging from defense to health, energy to international development. In this role, you’ll work closely with the Government Markets and Intellectual Property teams to anticipate business needs and develop practical governance structures with agility and action. You’ll establish trusted partnerships with leaders across the company’s Chief Technology Office and collaborate with fellow members of the Legal, Ethics & Compliance team and serve as a thought leader to protect and advance the company’s AI strategy while monitoring and helping business leadership respond to the complex, multifaceted, and often novel legal, regulatory, and compliance risks we face today. Guided by Booz Allen’s purpose and values, together we’ll anticipate and proactively prepare for the issues we’ll encounter tomorrow. Due to the nature of work performed within this facility, U.S. citizenship is required. Ready to join a team of problem-solvers to empower innovation and change? **What You 'll Work On:** * Advise on legal aspects of the AI Risk Management Program. * Review AI initiatives to assess risk, propose and communicate precautions to the business while finding paths to success. * Contribute to our AI policies, risk tolerance, strategy, and ethics in line with our values. * Engage with procurement, risk, technology, cybersecurity, and communications teams to negotiate terms and advise on strategy for legal Business Associate, Data Processing and AI agreements. * Monitor and respond to regulatory changes and federal government directives that impact the use of artificial intelligence. * Apply knowledge of federal agency rules, executive orders, legislation, and contract clauses to artificial intelligence use. * Advise on privacy legal issues from GDPR, CCPA, HIPAA, and other regulations related to data use. Join us. The world can’t wait. **You Have:** * 8+ years of experience in a law firm or in-house legal, with subject areas such as artificial intelligence, risk management, machine learning, or data rights * Experience with privacy laws, frameworks, best practices, and controls such as GDPR, CCPA, BIPA, and HIPAA * Experience collaborating with cross-functional teams and business leaders to develop comprehensive, business-oriented solutions to problems and tailoring subject matter input to achieve business objectives * Experience negotiating terms and conditions for use of AI technologies * Knowledge Artificial Intelligence, large language models (LLMs), generative AI, emerging AI risk management frameworks, ethical principles, and emerging U.S., state, and international regulatory regimes * Ability to engage with technical experts and communicate legal obligations to a technical audience * J.D. degree * Active bar admission with any U.S. state bar **Nice If You Have:** * Experience with Federal government contracts * Experience advising on processes and procedures related to artificial intelligence governance * Experience working with technical staff, such as engineers, network architects, technical teams, and developers * Knowledge of AI risk management practices, such as the NIST AI Risk Management Framework * CIPP or AIGP Certification **Compensation** At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $162,800.00 to $303,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. **Identity Statement** As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. **Candidate AI Usage Policy** AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on **your** own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited **unless permission is explicitly provided**. **Work Model** Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. * **Remote** : If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. * **Hybrid** : If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. * **Onsite** : If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. **Commitment to Non-Discrimination** All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.", "summaryDescription" : "Artificial Intelligence and Privacy Associate General Counsel at Booz Allen. Skills: Artificial Intelligence, Data Privacy, Risk Management, Legal Counsel. Advise on legal aspects of AI Risk Management Program. 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Organizational planning", "domainKnowledge" : "Artificial Intelligence; Natural Language Processing; Computational Cognitive Science; Generative AI", "domainList" : [ "artificial-intelligence", "natural-language-processing", "computational-cognitive-science", "generative-ai" ], "domainSpecificKnowledge" : [ "Artificial Intelligence", "Natural Language Processing", "Computational Cognitive Science", "Generative AI" ], "communicationSkills" : "Written communication; Spoken communication; Executive presentations", "documentationSkills" : "Documentation", "innovationCreativity" : "Invent new ML techniques", "problemSolvingSkills" : "Decompose complex problems; Troubleshoot issues", "outcomesObjectives" : "Impact customer experiences", "qualificationsBasic" : "5+ years ML experience, Graduate degree in AI, NLP, ML, or computational cognitive science, 7+ years academic and research experience, Publication record, Track record of project delivery, Programming in Java, C++, Python, Excellent communication skills", "qualificationsPreferred" : "PhD in AI, NLP, ML, or computational cognitive science, 10+ years academic and research experience, First author research, Functional thought leader, Experience influencing executive level, Experience mentoring research scientists, Distilling customer requirements, Excellent communication skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As a Principal Scientist in the Artificial General Intelligence (AGI) organization, you are a trusted part of the technical leadership. You bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. You solicit differing views across the organization and are willing to change your mind as you learn more. Your artifacts are exemplary and often used as reference across organization. You are a hands-on scientific leader. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions. You amplify your impact by leading scientific reviews within your organization or at your location. You scrutinize and review experimental design, modeling, verification and other research procedures. You probe assumptions, illuminate pitfalls, and foster shared understanding. You align teams toward coherent strategies. You educate, keeping the scientific community up to date on advanced techniques, state of the art approaches, the latest technologies, and trends. You help managers guide the career growth of other scientists by mentoring and play a significant role in hiring and developing scientists and leads. You will play a critical role in driving the development of Generative AI (GenAI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences. Key job responsibilities You will be responsible for defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. You will develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. You will also participate in organizational planning, hiring, mentorship and leadership development. You will be technically exceptional with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance). Basic Qualifications: - 5+ years of practical work applying ML to solve complex problems experience - Graduate degree in with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science - 7+ years of combined academic and research experience - Strong publication record in top-tier journals and conferences - Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements - Experience programming in Java, C++, Python or related language - Excellent written and spoken communication skills Preferred Qualifications: - PhD with specialization in Artificial Intelligence, Natural Language Processing, Machine Learning, or Computational Cognitive Science - 10+ years of combined academic and research experience - First author research on scaling laws, evaluation metrics, data mixture optimization, data efficiency, or neural network architectures in top-tier journals and conferences - Functional thought leader and sought after for key tech decisions - Experience influencing decisions at an executive level - Experience mentoring and training the research scientist community on complex technical issues - Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives - Excellent written and spoken communication skills with successful delivery to customers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Principal Applied Scientist, Artificial General Intelligence at Amazon.com Services LLC. Skills: Artificial General Intelligence, Generative AI, Machine Learning. Define research directions. 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Familiarity with Florida law and state court proceedings, as well as exposure to real estate, employment, or corporate governance matters, is also beneficial." ], "hardSkillsList" : [ "active bar membership" ], "softSkillsList" : [ "discretion, professionalism, sound judgment" ], "hardSkills" : [ { "name" : "active bar membership", "level" : "intermediate" } ], "softSkills" : [ { "name" : "discretion, professionalism, sound judgment" } ], "majorSkills" : "litigation, contract negotiation, regulatory compliance", "majorSkillsList" : [ "litigation, contract negotiation, regulatory compliance" ], "coreResponsibilities" : "The General Counsel will serve as a trusted advisor, managing the full spectrum of legal matters for the organization, including end-to-end litigation oversight, drafting and negotiating commercial agreements, and advising on regulatory and compliance issues. This role requires proactive identification and communication of legal risks across the principal's portfolio and managing relationships with outside counsel.", "teamCollaboration" : "The attorney will work closely with senior leadership and the principal, and must communicate legal complexity with clarity and confidence. They will also coordinate cross-functional legal needs and work within a lean, high-caliber team environment.", "communicationSkills" : "exceptional communication; advise non-lawyer principal", "problemSolvingSkills" : "legal risk assessment", "specialRequirements" : "Big Law background required. First-chair or substantial involvement in trial, arbitration, or contested proceedings is required.", "outcomesObjectives" : "Manage litigation matters end-to-end directly and through outside counsel with full accountability for strategy and outcomes. Proactively identify and communicate legal risk across the principal’s portfolio.", "qualificationsBasic" : "J.D. from an accredited law school, active bar membership in good standing, and a Big Law background are required. Must have 5-8 years of meaningful litigation experience, including first-chair or substantial involvement in trial, arbitration, or contested proceedings. Requires the ability to manage legal matters independently and commercial experience advising on contracts, transactions, and business risk.", "qualificationsPreferred" : "Prior in-house experience at a family office, private equity firm, or closely held enterprise is preferred. Familiarity with Florida law and state court proceedings, and exposure to real estate, employment, or corporate governance matters are also considered advantageous.", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "General Counsel (Attorney) Sunny Isles Beach, FL | Full-Time | Compensation: $200,000–$450,000 base + bonus (total package up to $600,000/year) About the Role Di Rezze Family Office is a private, principal-led organization managing a diversified portfolio of business and investment interests. We are seeking an experienced attorney to serve as general counsel, a trusted advisor who will handle the full spectrum of legal matters across the organization, from day-to-day contract work to active litigation oversight. This is a generalist role with a litigation core. We are looking specifically for attorneys who trained and practiced at a Big Law firm that foundation is a requirement. The attorney we hire will have a track record of managing disputes and adversarial proceedings directly, and will bring the judgment and composure that come from having real accountability for legal outcomes. They will work closely with senior leadership and the principal, and must communicate legal complexity with clarity and confidence. What you’ll do – Manage litigation matters end-to-end directly and through outside counsel with full accountability for strategy and outcomes – Draft, review, and negotiate commercial agreements, vendor contracts, and transactional documents – Advise on regulatory and compliance matters across business units and affiliated ventures – Provide legal support for new transactions, partnerships, and entity formations – Proactively identify and communicate legal risk across the principal’s portfolio – Manage relationships with outside counsel and specialists; coordinate cross-functional legal needs What we’re looking for – J. D. from an accredited law school; active bar membership in good standing; Big Law background required – 5-8 years of Meaningful litigation experience first-chair or substantial involvement in trial, arbitration, or contested proceedings is required – Ability to manage legal matters independently from intake through resolution – Strong commercial instincts; experience advising on contracts, transactions, and business risk – Exceptional communication skills and the ability to advise a non-lawyer principal with directness and clarity – High degree of discretion, professionalism, and sound judgment in a private, relationship-driven environment Preferred Background – Experience in healthcare law, regulatory compliance, or healthcare-adjacent matters – Prior in-house experience at a family office, private equity firm, or closely held enterprise – Familiarity with Florida law and state court proceedings – Exposure to real estate, employment, or corporate governance matters Compensation & Benefits – Base salary: $200,000–$450,000, commensurate with experience – Performance bonus—total annual package up to $600,000 for the right candidate – Direct exposure to senior leadership and principal-level decision-making – Lean, high-caliber team environment – Comprehensive benefits package Send your cover letter and resume at ksantos@direzzefamilyoffice.com", "summaryDescription" : "General Counsel (Attorney) at Di Rezze Family Office. Skills: litigation, contract negotiation, regulatory compliance. The General Counsel will serve as a trusted advisor, managing the full spectrum of legal matters for the organization, including end-to-end litigation oversight, drafting and negotiating commercial agreements, and advising on regulatory and compliance issues. This role requires proactive identification and communication of legal risks across the principal's portfolio and managin", "postedDate" : "2026-06-14T20:59:30.750", "createdAt" : "2026-06-14T20:59:30.750", "lastUpdated" : "2026-06-15T10:14:15.354", "ingestTimestamp" : "2026-06-14T20:59:30.750", "mongoId" : "6a2c960974d8ee00a098e751", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "active bar membership", "discretion, professionalism, sound judgment", "litigation, contract negotiation, regulatory compliance", "Experience in healthcare law, regulatory compliance, or healthcare-adjacent matters is preferred. 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That is why Amazon is investing in generative AI (GenAI) and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for an Applied Scientist with strong technical skills which includes coding and natural language processing experience in dataset construction, training and evaluating models, and automatic processing of large datasets. You will play a critical role in driving innovation and advancing the state-of-the-art in natural language processing and machine learning. You will work closely with cross-functional teams, including product managers, language engineers, and other scientists. Key job responsibilities Specifically, the Applied Scientist will: • Ensure quality of speech/language/other data throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc. • Clean, analyze and select speech/language/other data to achieve goals • Build and test models that elevate the customer experience • Collaborate with colleagues from science, engineering and business backgrounds • Present proposals and results in a clear manner backed by data and coupled with actionable conclusions • Work with engineers to develop efficient data querying infrastructure for both offline and online use cases Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist, Artificial General Intelligence - Data at Amazon.com Services LLC. Skills: Natural language processing, Machine learning, Data processing. Ensure quality of speech/language/other data. Clean data", "postedDate" : "2026-06-13T00:01:16.464", "createdAt" : "2026-06-13T00:01:16.464", "lastUpdated" : "2026-06-15T02:04:52.234", "ingestTimestamp" : "2026-06-13T00:01:16.464", "mongoId" : "69164db570f0b99d586f3836", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3121529/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 223400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Algorithms", "Data structures", "Parsing", "Numerical optimization", "Data mining", "Distributed computing", "High-performance computing", "Natural language processing", "Machine learning", "Data processing", "Data sourcing", "Data collection", "Ground truth generation", "Data normalization", "Data transformation", "Cross-lingual alignment", "Data analysis", "Model building", "Customer experience", "Data querying", "Generative AI", "Large language models" ], "skillCount" : 22, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "69c94a839bc74574cbbb4d23", "title" : "AI Data Associate with French, Artificial General Intelligence", "company" : "Nuqtat Al Taknalojia", "industry" : "Editorial, Writing, Content Management, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 14000.0, "max" : 21000.0, "currency" : "JOD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level AI Data Associate in Amman, Jordan, adjusted for the technology industry." }, "location" : "Amman, JOR", "locations" : [ "Amman, JOR" ], "timestamp" : "2026-06-14T22:27:42.434", "fingerprint" : "3f576feeacd0db743789607d25c4f064c343d4b8470f87d85406b25535cd9fbc", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3193086/apply", "externalId" : "5d852b84-3a0e-4c3c-aeb0-0013ea2c5cef", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amman", "state" : "Amman", "country" : "Jordan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "31.9515694,35.9239625" } ], "locationText" : "Amman, Amman, Jordan", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "professionalSkills" : [ "Data labeling" ], "hardSkillsList" : [ "Labeling tasks", "Root cause analysis", "Error pattern identification" ], "softSkillsList" : [ "Analytical thinking", "Structured problem-solving", "Attention to detail", "Judgment", "Decision making", "Individuality", "Creative mind" ], "hardSkills" : [ { "name" : "Labeling tasks", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Error pattern identification", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical thinking" }, { "name" : "Structured problem-solving" }, { "name" : "Attention to detail" }, { "name" : "Judgment" }, { "name" : "Decision making" }, { "name" : "Individuality" }, { "name" : "Creative mind" } ], "majorSkills" : "Data labeling, AI data", "majorSkillsList" : [ "Data labeling", "AI data" ], "coreResponsibilities" : "Maintain strict confidentiality, Work with different data types, Deliver high-quality labelled data, Meet KPIs, Generate human insight data, Make sound judgments, Make logical decisions, Pivot from one category to another, Support daily operational deliverables, Analyze root causes, Identify error patterns, Propose solutions to enhance quality, Identify process issues, Suggest changes to unblock operations, Provide floor support, Clarify internal queries", "teamCollaboration" : "Diverse team", "projectManagementSkills" : [ "Project coordination", "Project management" ], "domainKnowledge" : "Generative AI; Large language models", "domainList" : [ "generative-ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Generative AI", "Large language models" ], "toolProficiency" : [ "In-house tools", "Common business applications" ], "communicationSkills" : "Business writing; Professional correspondence", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Problem-solving; Root cause analysis", "outcomesObjectives" : "Meet our KPIs", "qualificationsBasic" : "Associate’s Degree or related work experience, B1+ English fluency, C1+ French fluency, business writing skills, Advanced reading comprehension, Developed analytical thinking, structured problem-solving capabilities, interpret and implement detailed instructions, Proficient research skills, Proven attention to detail", "qualificationsPreferred" : "Bachelor’s degree in a relevant field, 2+ years of professional work experience, demonstrated task execution ability, leverage open-source resources effectively, Ability to adapt well to fast-paced environments, 2-3 years project coordination or management experience, Experience managing stakeholder relationships, Advanced proficiency in Microsoft Office Suite", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on! Key job responsibilities - Maintain and follow strict confidentiality as customer privacy is our most important tenet - Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video - Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly. - Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. - Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. - Eye for detail and ability to pivot from one category of requirement to another instantaneously. - Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team - Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs. - Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations - Demonstrate ownership in floor support to clarify internal queries during execution on need basis. A day in the life We are looking for a AI Data Associate to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications: - An Associate’s Degree or related work experience - Good working knowledge (B1+) in both spoken and written English - C1+ or equivalent fluency in French language - Strong business writing skills with ability to create reports, proposals, and professional correspondence - Advanced reading comprehension with ability to analyze complex business documents - Developed analytical thinking and structured problem-solving capabilities - Strong ability to interpret and implement detailed instructions across various projects - Proficient research skills with experience gathering and synthesizing information from multiple sources - Proven attention to detail in managing complex tasks and documents Preferred Qualifications: - Bachelor’s degree in a relevant field - 2+ years of professional work experience with demonstrated task execution ability - Proven capacity to leverage open-source resources effectively for comprehensive research purposes • Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy - 2-3 years project coordination or management experience - Experience managing stakeholder relationships across departments - Advanced proficiency in Microsoft Office Suite and common business applications. Our inclusive culture empowers Amazonians to deliver the best results for our customers Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "AI Data Associate with French, Artificial General Intelligence at Nuqtat Al Taknalojia. Skills: Data labeling, AI data. Maintain strict confidentiality. Work with different data types", "postedDate" : "2026-06-13T02:37:39.296", "createdAt" : "2026-06-13T02:37:39.296", "lastUpdated" : "2026-06-14T22:27:42.434", "ingestTimestamp" : "2026-06-13T02:37:39.296", "mongoId" : "69c94a839bc74574cbbb4d23", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3193086/apply", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Labeling tasks", "Root cause analysis", "Error pattern identification", "Analytical thinking", "Structured problem-solving", "Attention to detail", "Judgment", "Decision making", "Individuality", "Creative mind", "Data labeling", "AI data", "Project coordination", "Project management", "Generative AI", "Large language models", "In-house tools", "Common business applications" ], "skillCount" : 18, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true } ], "status" : 200, "message" : "artificial intelligence and privacy associate general counsel jobs", "metadata" : { "title" : "artificial intelligence and privacy associate general counsel" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 59656, "totalPages" : 1194, "hasNext" : true, "hasPrevious" : false } }

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