{ "count" : 38828, "data" : [ { "id" : "69c9097c9bc74574cbb0b747", "title" : "AI Content Producer", "company" : "BetterMe", "industry" : "Technology", "salary" : { "min" : 720000.0, "max" : 1200000.0, "currency" : "UAH", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an AI Content Producer in Ukraine, adjusted for mid-seniority and the technology industry." }, "location" : "Ukraine", "locations" : [ "Ukraine" ], "timestamp" : "2026-06-15T04:56:12.841", "fingerprint" : "11a1336aa291a260814dca9111754a10278219c7f6139db3f3d243b2144446e4", "source" : "breezyhr", "language" : "uk", "applyUrl" : "https://betterme.breezy.hr/p/c9a8703f175b-ai-content-producer", "externalId" : "c9a8703f175b", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Ukraine", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Ukraine", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Strengthen AI direction in content production", "remoteFriendly" : true, "rawDescription" : "Про нас: BetterMe — глобальна wellness-екосистема, що створює продукти для фізичного, ментального та емоційного балансу. Ми допомагаємо мільйонам людей ставати кращими — і зростаємо разом із ними. Про команду: Шукаємо у команду AI Content Producer, який(а) посилить AI-напрям у контент-продакшені т", "summaryDescription" : "AI Content Producer at BetterMe. Strengthen AI direction in content production", "createdAt" : "2026-06-14T05:17:39.647", "lastUpdated" : "2026-06-15T04:56:12.841", "ingestTimestamp" : "2026-06-14T05:17:39.647", "mongoId" : "69c9097c9bc74574cbb0b747", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 1025.5126, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.85 }, { "id" : "6a2c6ace74d8ee00a090e13f", "title" : "AI Content Specialist", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level AI Content Specialist in the US Technology industry, adjusted for part-time employment." }, "location" : "ISL - Remote - US", "locations" : [ "ISL - Remote - US" ], "timestamp" : "2026-06-16T02:42:51.421", "fingerprint" : "e3ca36c4176473a7833fc9a1268ad3987a42818254f7837f4bc2a4da9f6acc11", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4266649009", "externalId" : "4266649009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "PART_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "AI, Generative AI, Large Language Models, LLMs", "professionalSkills" : [ "Data engineering", "Evaluation frameworks", "Human expertise" ], "hardSkillsList" : [ "Content labeling", "Data transformation", "Content evaluation", "Data gathering", "Data compilation", "Text summarization", "Language translation", "Content generation" ], "hardSkills" : [ { "name" : "Content labeling", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Content evaluation", "level" : "intermediate" }, { "name" : "Data gathering", "level" : "intermediate" }, { "name" : "Data compilation", "level" : "intermediate" }, { "name" : "Text summarization", "level" : "intermediate" }, { "name" : "Language translation", "level" : "intermediate" }, { "name" : "Content generation", "level" : "intermediate" } ], "majorSkills" : "Generative AI, LLM development, Content evaluation", "majorSkillsList" : [ "Generative AI", "LLM development", "Content evaluation" ], "coreResponsibilities" : "Rate/assess AI model performance, Label content elements, Assign predefined categories, Evaluate content quality, Evaluate content appropriateness, Generate labels for concepts, Create training data, Apply data transformations, Modify images, Generate new text, Alter audio/video signals, Review data, Identify product feature function, Label model outputs, Identify content type, Order or rank items, Create prompts for AI, Generate responses from AI, Rewrite existing text, Produce concise summaries, Convert spoken language to text, Convert text from one language to another, Gather data for AI models, Compile data for AI models", "domainKnowledge" : "Generative AI; Large Language Models; AI systems", "domainList" : [ "generative-ai", "large-language-models", "ai-systems" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models", "AI systems" ], "problemSolvingSkills" : "Reasoning", "qualificationsBasic" : "Bachelor's degree or higher in a humanities specialization, Professional or Expert level proficiency (C1/C2) in English", "qualificationsPreferred" : "Advanced degrees are strongly preferred (Master’s or PhD)", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.", "summaryDescription" : "AI Content Specialist at Innodata Inc.. Skills: Generative AI, LLM development, Content evaluation. Rate/assess AI model performance. 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We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.", "summaryDescription" : "AI Content Analyst at Innodata Inc.. Skills: Generative AI, Large language models, Content analysis. Rate AI model performance. Label content elements", "postedDate" : "2026-06-14T08:56:18.585", "createdAt" : "2026-06-14T08:56:18.585", "lastUpdated" : "2026-06-15T10:06:46.102", "ingestTimestamp" : "2026-06-14T08:56:18.585", "mongoId" : "6a2c6ace74d8ee00a090e13c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 35000, "salaryAnnualMax" : 55000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Performance rating", "Content labeling", "Category assignment", "Quality evaluation", "Label generation", "Data creation", "Data review", "Item ranking", "Prompt creation", "Content relevancy", "Response generation", "Text rewriting", "Text summarization", "Speech to text", "Translation", "Data gathering", "Generative AI", "Large language models", "Content analysis", "Data engineering", "Content evaluation", "Data labeling", "Data transformation", "Content generation", "Content summarization", "Language translation", "Data compilation", "AI systems" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 968.9078, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69ce5e3b9bc74574cb677a3d", "title" : "Product Owner – Responsible AI & AI Governance", "industry" : "Technology", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product Owner in the Technology industry in Bangalore, India, adjusted for AI/ML specialization and senior experience level." }, "location" : "India-Karnataka-Bangalore", "locations" : [ "India-Karnataka-Bangalore", "'Embassy Crest' Plot No 5, , EPIP Zone, Phase 1, " ], "timestamp" : "2026-06-15T08:11:35.474", "fingerprint" : "5dd2953ef06fb29b84babe48b196fe8ed1db70a397a4febf88b59064887fdd55", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=888710", "externalId" : "888710", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI/ML, Predictive AI, Generative AI", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Product leadership", "Strategic thinking", "Product management", "Stakeholder management", "Risk assessment", "Governance decisions" ], "hardSkillsList" : [ "Fairness", "Bias mitigation", "Explainability", "Transparency", "Robustness", "Privacy", "Safety", "AI risk classification", "Maturity models" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Fairness", "level" : "intermediate" }, { "name" : "Bias mitigation", "level" : "intermediate" }, { "name" : "Explainability", "level" : "intermediate" }, { "name" : "Transparency", "level" : "intermediate" }, { "name" : "Robustness", "level" : "intermediate" }, { "name" : "Privacy", "level" : "intermediate" }, { "name" : "Safety", "level" : "intermediate" }, { "name" : "AI risk classification", "level" : "intermediate" }, { "name" : "Maturity models", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Responsible AI, AI Governance, Product Ownership", "majorSkillsList" : [ "Responsible AI", "AI Governance", "Product Ownership" ], "coreResponsibilities" : "Define Responsible AI framework, Evolve Responsible AI framework, Co-create AI standards, Operationalize AI standards, Translate principles into policies, Translate principles into guardrails, Translate principles into workflows, Identify innovative ideas, Embed Responsible AI into lifecycle, Define product vision, Define product roadmap, Define success metrics, Define prioritization, Convert requirements into features, Drive end-to-end delivery, Ensure usability, Ensure scalability, Ensure adoption, Lead workshops, Lead reviews, Lead design discussions, Drive organization-wide awareness, Establish AI risk classification, Establish maturity models, Oversee AI assessments, Mitigate risks, Document risks, Define monitoring mechanisms, Define audit mechanisms, Track regulatory trends, Ensure proactive alignment", "teamCollaboration" : "Cross-functional stakeholders; Engineering teams; Leadership teams; AI teams; Governance stakeholders", "projectManagementSkills" : [ "Roadmap", "Prioritization" ], "domainKnowledge" : "Responsible AI principles; AI development lifecycle; Predictive AI; Generative AI; AI risk; AI ethics; AI governance; Global AI governance", "domainList" : [ "responsible-ai-principles", "ai-development-lifecycle", "predictive-ai", "generative-ai", "ai-risk", "ai-ethics", "ai-governance", "global-ai-governance" ], "domainSpecificKnowledge" : [ "Responsible AI principles", "AI development lifecycle", "Predictive AI", "Generative AI", "AI risk", "AI ethics", "AI governance", "Global AI governance" ], "toolProficiency" : [ "Responsible AI tooling" ], "communicationSkills" : "Storytelling; Executive presentations", "documentationSkills" : "Documentation; Best-practice playbooks", "innovationCreativity" : "Innovative ideas", "problemSolvingSkills" : "Risk mitigation", "outcomesObjectives" : "Embed principles into lifecycle; High adoption of tool; Measurable reduction in AI risk; Improved compliance readiness", "qualificationsBasic" : "6-10 years of experience, Bachelor's or Master's degree, Experience designing AI governance programs, Experience implementing AI governance programs, Understanding of AI/ML systems, Deep expertise in Responsible AI principles, Hands-on experience evaluating AI risks, Familiarity with Responsible AI tooling", "qualificationsPreferred" : "PhD a plus, Experience in regulated industries, Exposure to global AI regulations, Experience building AI risk assessment frameworks, Experience building governance platforms, Storytelling skills, Communication skills to influence leadership", "remoteFriendly" : false, "rawDescription" : "Job Title Product Owner – Responsible AI & AI Governance Role Overview We are seeking a seasoned Responsible AI leader with deep expertise in AI/ML systems and Responsible AI principles to define, build, and scale a company-wide Responsible AI framework. This role will act as a strategic partner to engineering, product, legal, compliance, and leadership teams , while also serving as the Product Owner for an internal Responsible AI assessment and governance tool. The ideal candidate combines technical depth , strategic thinking , and hands-on product leadership to translate Responsible AI principles into practical, scalable, and measurable implementations across the organization. Key Responsibilities Responsible AI Strategy & Framework Development Define and evolve the Responsible AI framework covering fairness, bias, explainability, robustness, privacy, safety, and regulatory compliance. Collaborate with cross-functional stakeholders (AI engineering, data science, product, legal, security, compliance, and ethics) to co-create and operationalize Responsible AI standards. Translate global Responsible AI principles and emerging regulations into company-specific policies, guardrails, and workflows . Continuously identify new, innovative, and high-impact ideas to embed Responsible AI into the AI development lifecycle (design → development → deployment → monitoring). Product Ownership – Responsible AI Tooling Act as Product Owner for the company’s Responsible AI assessment and governance tool. Define product vision, roadmap, success metrics, and prioritization aligned with business and regulatory needs. Convert Responsible AI requirements into clear product features (risk assessments, checklists, metrics, dashboards, approval workflows). Work closely with engineering teams to drive end-to-end delivery , from concept to production. Ensure usability, scalability, and adoption across diverse AI teams (predictive and generative AI). Stakeholder Engagement & Enablement Lead workshops, reviews, and design discussions to guide teams in applying Responsible AI practices . Drive organization-wide awareness through training, documentation, and best-practice playbooks. Act as a trusted advisor to leadership on AI risk, ethics, and governance decisions . Risk Assessment & Governance Establish AI risk classification and maturity models (low / medium / high risk). Oversee Responsible AI assessments across AI use cases, ensuring risks are identified, mitigated, and documented. Define monitoring and audit mechanisms for post-deployment AI systems. Track regulatory trends and ensure proactive alignment with global AI governance expectations. What Success Looks Like Responsible AI principles are embedded into the AI development lifecycle , not treated as a checklist. High adoption of the Responsible AI tool across teams. Measurable reduction in AI risk exposure and improved compliance readiness. Strong trust and collaboration between AI teams and governance stakeholders. Required Qualifications Technical & Domain Expertise Strong understanding of AI/ML systems , including both predictive and generative AI . Deep expertise in Responsible AI principles: fairness, bias mitigation, explainability, transparency, robustness, privacy, and safety. Hands-on experience evaluating AI risks in real-world production systems. Familiarity with Responsible AI tooling, metrics, and model evaluation techniques. Product & Leadership Skills Proven experience as a Product Owner / Product Manager for internal or platform products. Ability to translate abstract governance principles into actionable product requirements . Strong stakeholder management and cross-functional leadership skills. Comfortable influencing without authority across engineering and leadership teams. Experience & Education 6-10 years of experience in AI, data science, ML engineering, AI governance, or related fields. Experience designing or implementing enterprise-level AI governance or Responsible AI programs . Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field (PhD a plus). Desired / Nice to Have Experience in regulated industries (automotive, healthcare, finance, or similar). Exposure to global AI regulations and standards (e.g., ISO, NIST, EU AI Act concepts). Experience building AI risk assessment frameworks or governance platforms from scratch. Strong storytelling and communication skills to influence senior leadership. Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "Product Owner – Responsible AI & AI Governance. Skills: Responsible AI, AI Governance, Product Ownership. Define Responsible AI framework. Evolve Responsible AI framework", "createdAt" : "2026-06-14T06:02:55.920", "lastUpdated" : "2026-06-15T08:11:35.474", "ingestTimestamp" : "2026-06-14T06:02:55.920", "mongoId" : "69ce5e3b9bc74574cb677a3d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Fairness", "Bias mitigation", "Explainability", "Transparency", "Robustness", "Privacy", "Safety", "AI risk classification", "Maturity models", "Leadership", "Responsible AI", "AI Governance", "Product Ownership", "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Product leadership", "Strategic thinking", "Product management", "Stakeholder management", "Risk assessment", "Governance decisions", "Roadmap", "Prioritization", "Responsible AI principles", "AI development lifecycle", "Predictive AI", "Generative AI", "AI risk", "AI ethics", "AI governance", "Global AI governance", "Responsible AI tooling" ], "skillCount" : 34, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 965.34766, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6ace74d8ee00a090e13a", "title" : "AI Content Analyst", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 41600.0, "max" : 58400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level AI Content Analyst in the Technology industry in the United States, adjusted for remote work and part-time employment." }, "location" : "ISL - Remote - US", "locations" : [ "ISL - Remote - US" ], "timestamp" : "2026-06-15T09:04:48.175", "fingerprint" : "04251013d6f40e7aba1f206e2adbf3982be77946f257382a54566715de51f65d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4266738009", "externalId" : "4266738009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "PART_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Generative AI, Large language models, Machine learning", "professionalSkills" : [ "Data engineering", "Content evaluation", "Data labeling", "Data transformation", "Content generation", "Content summarization", "Language translation", "Data gathering", "Data compilation" ], "hardSkillsList" : [ "Performance rating", "Content labeling", "Category assignment", "Quality evaluation", "Data transformation", "Data review", "Content identification", "Item ranking", "Prompt creation", "Content relevancy", "Response generation", "Text rewriting", "Text summarization", "Speech to text", "Translation", "Data collection" ], "hardSkills" : [ { "name" : "Performance rating", "level" : "intermediate" }, { "name" : "Content labeling", "level" : "intermediate" }, { "name" : "Category assignment", "level" : "intermediate" }, { "name" : "Quality evaluation", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data review", "level" : "intermediate" }, { "name" : "Content identification", "level" : "intermediate" }, { "name" : "Item ranking", "level" : "intermediate" }, { "name" : "Prompt creation", "level" : "intermediate" }, { "name" : "Content relevancy", "level" : "intermediate" }, { "name" : "Response generation", "level" : "intermediate" }, { "name" : "Text rewriting", "level" : "intermediate" }, { "name" : "Text summarization", "level" : "intermediate" }, { "name" : "Speech to text", "level" : "intermediate" }, { "name" : "Translation", "level" : "intermediate" }, { "name" : "Data collection", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Large language models, AI development", "majorSkillsList" : [ "Generative AI", "Large language models", "AI development" ], "coreResponsibilities" : "Rate AI model performance, Label content elements, Assign predefined categories, Evaluate content quality, Generate labels for concepts, Create training data, Apply data transformations, Review data for product features, Label model outputs, Identify content types, Order or rank items, Create prompts for AI systems, Evaluate content relevancy, Generate responses from AI, Rewrite existing text, Produce text summaries, Convert audio to text, Translate content, Gather data for AI models, Compile digital content", "domainKnowledge" : "Generative AI; Large language models; AI systems", "domainList" : [ "generative-ai", "large-language-models", "ai-systems" ], "domainSpecificKnowledge" : [ "Generative AI", "Large language models", "AI systems" ], "qualificationsBasic" : "Bachelor's degree or higher, Professional or Expert level proficiency in English", "qualificationsPreferred" : "Advanced degrees strongly preferred, Master's or PhD preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.", "summaryDescription" : "AI Content Analyst at Innodata Inc.. Skills: Generative AI, Large language models, AI development. Rate AI model performance. Label content elements", "postedDate" : "2026-06-14T03:21:51.472", "createdAt" : "2026-06-14T03:21:51.472", "lastUpdated" : "2026-06-15T09:04:48.175", "ingestTimestamp" : "2026-06-14T03:21:51.472", "mongoId" : "6a2c6ace74d8ee00a090e13a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 41600, "salaryAnnualMax" : 58400, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Performance rating", "Content labeling", "Category assignment", "Quality evaluation", "Data transformation", "Data review", "Content identification", "Item ranking", "Prompt creation", "Content relevancy", "Response generation", "Text rewriting", "Text summarization", "Speech to text", "Translation", "Data collection", "Generative AI", "Large language models", "AI development", "Data engineering", "Content evaluation", "Data labeling", "Content generation", "Content summarization", "Language translation", "Data gathering", "Data compilation", "AI systems" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 961.01807, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c684c74d8ee00a0902f20", "title" : "Tech Lead, Explore", "company" : "Stellic", "industry" : "Engineering", "salary" : { "min" : 210000.0, "max" : 235000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "This role is hybrid/in-office preferred in San Mateo, California, with remote flexibility considered case by case.", "locations" : [ "This role is hybrid/in-office preferred in San Mateo, California, with remote flexibility considered case by case." ], "timestamp" : "2026-06-16T03:07:40.602", "fingerprint" : "72ee70146c4d48fc2cad42e0d22c49a6bb964f490181178d8143e9dcc054e4b6", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/stellic/354b6e76-bcf8-482d-9086-58b0e24ce01f/application", "externalId" : "354b6e76-bcf8-482d-9086-58b0e24ce01f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Mateo", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.4969040,-122.3330573" } ], "locationText" : "San Mateo, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Stellic is growing! We're looking for a Tech Lead our ****newest product, Explore. Explore is a platform that helps prospective and transfer students plan their academic pathways before they ever set foot on campus. This is a 0→1 product area with meaningful architectural stakes, and we are looking for a technical leader who thrives in ambiguity and can build for the long term while moving fast. ABOUT US We're building a future where every student can move through their education with clarity, confidence, and purpose. Our platform transforms the student experience, giving them the tools they need to make the right decisions about their degree plans, track their journey, and build an education and career path that's truly their own. Stellic is a fast-growing startup backed by leading social impact investors, partnering with top institutions like Cornell, Columbia, UVA, and Ohio State to support over 1 million students across 7 countries. As we scale to serve more universities worldwide, we remain deeply committed to this mission, driven by our values, and committed to building a high-performance team that's here to make a lasting difference on both students' lives and higher education. STELLIC ENGINEERS Stellic engineers combine a rare blend of curiosity, creativity, and business acumen with the ability to deliver pragmatic solutions at high velocity with uncompromising quality. Our mission is to help students, and our engineers always have that in mind as they are building. THE EXPLORE TEAM The Explore team owns Stellic's newest product, focused on helping prospective and transfer students plan their academic pathways before enrolling at an institution. This product extends Stellic beyond enrolled students, introducing new workflows and user journeys centered around discovery, planning, and decision-making prior to joining a university. Explore is also the first system at Stellic to introduce multi-tenant concepts, which means the team is breaking new ground in how data is shared, isolated, and managed across institutions. As a newer product area, the team operates with a higher degree of ambiguity and iteration — balancing rapid product development with the need to establish a strong architectural foundation that can scale. As technical lead on Explore, you'll play a key role in shaping both the product and the underlying systems, helping define how Stellic expands into new user segments and new architectural paradigms. ABOUT YOU You've built product surfaces from 0 to 1 before, and you know how to make smart architectural calls when the path forward isn't fully defined yet. You're comfortable operating with ambiguity, and you bring strong judgment to decisions that will have long-term consequences. You understand that speed and quality aren't opposites — you know how to move fast while laying foundations that hold. AS OUR EXPLORE LEAD, YOU WILL OWN - The Explore product, end to end: Own the technical direction and evolution of the Explore product, from new capabilities for prospective and transfer students to the underlying systems that power them. - Multi-tenant architecture foundations: Establish the foundational patterns for Stellic's first multi-tenant system — defining how data is shared, isolated, and managed across institutions in a way that can scale. - Pragmatic architectural decisions in an evolving product space: Make clear, defensible calls in a fast-moving environment, balancing the speed of iteration with the need to build systems that hold up over time. - Clean, ergonomic APIs and reliable abstractions: Build and maintain the APIs and abstractions that handle complex business logic and data flows, keeping things simple for the engineers who build on top of them. - Engineering excellence: Drive engineering excellence by defining and mentoring on best practices, design patterns, and code quality across the team. TO BE SUCCESSFUL, YOU SHOULD HAVE - 5+ years of backend or full stack engineering experience operating at scale, with a track record of leading complex implementations as a technical lead - Experience building and scaling 0→1 and 1→10 product surfaces — you know what it looks like to go from nothing to something real - Strong judgment in making architectural decisions in evolving and ambiguous domains - Experience introducing and shaping new system patterns (e.g., multi-tenant concepts, data sharing models) - Ability to balance speed, iteration, and long-term system design without sacrificing one for the other - Strong proficiency in SQL and database optimization (PostgreSQL a plus) - Clear and effective communication skills for collaborating with product, design, and customer-facing teams - Deep curiosity, customer empathy, and commitment to engineering as a craft OUR CURRENT TECH STACK While we plan on introducing new technologies and capabilities, and potentially migrating away from current ones, here is the general shape of our current stack: - Languages: Python, SQL - Frameworks: Django, Angular, React, Remix - Databases: PostgreSQL, ElasticSearch, Redis - Version control: Git (GitHub) - Cloud: AWS - Deployment: AWS CodeDeploy - Observability & Analytics: Sentry, Grafana, Prometheus, PostHog, Metabase - Both single and multi-tenant architecture WHY YOU'LL LOVE WORKING AT STELLIC - Shape the future of higher education at a company leading the transformation of student success. - Work alongside an ambitious, mission-driven leadership team building something meaningful. - Own a piece of the journey with competitive salary, meaningful equity and a culture of excellence, speed and ownership. - Thrive in a flexible, outcome-driven culture built on trust and autonomy. - Exceptional benefits, including health insurance with Stellic covering 99% of your premium and 75% for dependents. - 401(k), commuter benefits, and annual international retreats in incredible locations. STELLIC IS AN EQUAL OPPORTUNITY EMPLOYER Our company values diversity and believes diverse teams make innovation possible. We encourage all qualified applicants from any race, color, religion, sex, gender identity, sexual orientation, national origin, disability status, protected veteran status, or other characteristics to apply.", "summaryDescription" : "Tech Lead, Explore at Stellic", "createdAt" : "2026-06-14T19:20:16.915", "lastUpdated" : "2026-06-16T03:07:40.602", "ingestTimestamp" : "2026-06-14T19:20:16.915", "mongoId" : "6a2c684c74d8ee00a0902f20", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 210000, "salaryAnnualMax" : 235000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "_score" : 941.6075, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca3ba74d8ee00a09ad612", "title" : "Creative Content Producer", "company" : "Hasbro", "industry" : "Media", "salary" : { "min" : 80500.0, "max" : 120700.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T09:01:01.549", "fingerprint" : "288f1f457679bb38b6137ce521bc1c34404eefa11fb5b6ca1f27329c95f44c59", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/hasbro/jobs/4250544009", "externalId" : "4250544009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "42.3588336,-71.0578303" }, { "city" : "Pawtucket", "state" : "Rhode Island", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "41.8789531,-71.3821203" } ], "locationText" : "Boston, Massachusetts, United States; Pawtucket, Rhode Island, United States", "technicalSkills" : "Video editing, Photography, Audio production, Social media analytics", "professionalSkills" : [ "Storytelling", "Brand voice", "Creative standards", "Content trends", "Content execution", "Content creation", "Content distribution", "Content measurement" ], "hardSkillsList" : [ "Multimedia content production", "Content editing", "Content planning", "Scripting", "Filming", "Post-production", "Content analysis", "Content reporting", "AI tool application" ], "hardSkills" : [ { "name" : "Multimedia content production", "level" : "intermediate" }, { "name" : "Content editing", "level" : "intermediate" }, { "name" : "Content planning", "level" : "intermediate" }, { "name" : "Scripting", "level" : "intermediate" }, { "name" : "Filming", "level" : "intermediate" }, { "name" : "Post-production", "level" : "intermediate" }, { "name" : "Content analysis", "level" : "intermediate" }, { "name" : "Content reporting", "level" : "intermediate" }, { "name" : "AI tool application", "level" : "intermediate" } ], "majorSkills" : "Content production, Storytelling, Multimedia content, AI tools", "majorSkillsList" : [ "Content production", "Storytelling", "Multimedia content", "AI tools" ], "coreResponsibilities" : "Concept multimedia content, Produce multimedia content, Edit multimedia content, Support end-to-end production, Develop employee-generated content processes, Partner with internal collaborators, Translate business priorities, Ensure content reflects brand voice, Coordinate content folders, Stay on top of content trends, Assist with content execution, Support asset collection, Draft social copy, Support executive social content, Assist building content calendars, Track content performance, Analyze content performance, Report on content performance, Explore AI tools, Apply AI tools, Provide AI recommendations", "teamCollaboration" : "Collaborate with passionate teams; Partner closely with collaborators; Coordinate across collaborators", "projectManagementSkills" : [ "Managing multiple drafts", "Managing deadlines", "Managing multiple projects" ], "domainKnowledge" : "Corporate communications; Brand strategy; Customer acquisition; Campaign management; Growth metrics; Employee communications; Executive visibility; Employee-generated content; Internal moments; Industry programs; AI environments", "domainList" : [ "corporate-communications", "brand-strategy", "customer-acquisition", "campaign-management", "growth-metrics", "employee-communications", "executive-visibility", "employee-generated-content", "internal-moments", "industry-programs", "ai-environments" ], "domainSpecificKnowledge" : [ "Corporate communications", "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics", "Employee communications", "Executive visibility", "Employee-generated content", "Internal moments", "Industry programs", "AI environments" ], "toolProficiency" : [ "LinkedIn", "Meta", "TikTok", "AI tools" ], "communicationSkills" : "Flawless storytelling; Compelling narratives; Draft social copy; Drafting copy", "documentationSkills" : "Scripting; Shot lists; Standard methodologies; Content calendars; Draft documents", "innovationCreativity" : "Reimagine iconic brands; Create experiences; Build what's never been built", "specialRequirements" : "Travel up to 20%", "qualificationsBasic" : "3-5 years experience, Build multimedia content end-to-end, Social media channels experience, Basic video editing familiarity, Social media analytics experience, Manage multiple projects, Active user of AI tools", "qualificationsPreferred" : "Interest in AI platforms", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. The Content Producer is part of a dedicated team that builds the future of corporate communications with flawless storytelling and top-tier content creation. The Content Producer opportunity allows an ambitious early-career professional to develop and deliver compelling narratives across real-time moments, campaigns, and editorial series. The Content Producer plays a key part in helping the Content team scale: ensuring great moments are captured, stories are told consistently, and content moves efficiently from idea to execution. You’ll have access to high-profile initiatives while building real, transferable content skills! Effective from the date that Hasbro opens its new Boston location, this position will be onsite Tuesday – Thursday at Hasbro’s new HQ location in Boston, MA. In the interim, this position will be onsite Tuesday – Thursday at Hasbro’s HQ in Pawtucket, RI or at Hasbro’s temporary location in Boston, MA. A Day in the Life of a Content Producer: Concept, produce, and edit multimedia content (video, photography, audio) for various channels, including employee communications, corporate social media, and executive visibility. Support end-to-end production, from planning and scripting to filming, editing, and post-production. Develop processes to enable high-scale employee-generated content, including filming mentorship, shot lists, toolkits, and standard methodologies. Partner closely with internal collaborators to translate business priorities into compelling narratives. Ensure content reflects Hasbro’s brand voice and creative standards. Coordinate and maintain shared content folders, ensuring assets are clearly labeled, accessible, and ready for use. Stay on top of emerging content trends and formats to keep Hasbro’s storytelling fresh and engaging. Assist with content execution for key moments and campaigns, including internal moments, programs like Women Innovators of Play, industry programs, awards, and partnerships. Support asset collection, approvals, and coordination across collaborators to ensure timely content delivery. Draft first-pass social copy for corporate channels,including for LinkedIn, Instagram, and TikTok. Support executive and leadership social content by drafting copy and recommending visuals. Assist in building and maintaining rolling content calendars and draft documents, including notes on channels, visuals, and timing. Track, analyze, and report on content performance across social media, internal platforms, and podcasts. Actively explore and apply AI tools to improve content creation, distribution, and measurement. Provide recommendations on how Hasbro’s content and narratives can better surface in technology-enhanced environments. What you’ll bring: 3-5 years of experience in content production, communications, social media, or a related field (internships and freelance work welcome). Proven ability to build high-quality multimedia content end-to-end. Strong storytelling instincts with the ability to distill complex ideas into captivating content. Highly organized, diligent, and comfortable managing multiple drafts and deadlines. Comfort in working collaboratively and taking feedback. Experience with social media channels, such as LinkedIn, Meta, and TikTok. Basic familiarity with video editing tools or content review workflows. Experience with social media analytics and tools for measurement and performance evaluation. Experience managing multiple projects and collaborators in a fast-paced environment. Active user of AI tools (e.g., generative AI, content tools, research assistants). Interest in crafting how brands show up in search and conversational platforms powered by artificial intelligence. Ability to travel up to 20% of the time. The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $80,500—$120,700 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.", "summaryDescription" : "Creative Content Producer at Hasbro. Skills: Content production, Storytelling, Multimedia content, AI tools. Concept multimedia content. Produce multimedia content", "postedDate" : "2026-06-14T06:17:32.120", "createdAt" : "2026-06-14T06:17:32.120", "lastUpdated" : "2026-06-15T09:01:01.549", "ingestTimestamp" : "2026-06-14T06:17:32.120", "mongoId" : "6a2ca3ba74d8ee00a09ad612", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 80500, "salaryAnnualMax" : 120700, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Multimedia content production", "Content editing", "Content planning", "Scripting", "Filming", "Post-production", "Content analysis", "Content reporting", "AI tool application", "Content production", "Storytelling", "Multimedia content", "AI tools", "Brand voice", "Creative standards", "Content trends", "Content execution", "Content creation", "Content distribution", "Content measurement", "Managing multiple drafts", "Managing deadlines", "Managing multiple projects", "Corporate communications", "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics", "Employee communications", "Executive visibility", "Employee-generated content", "Internal moments", "Industry programs", "AI environments", "LinkedIn", "Meta", "TikTok" ], "skillCount" : 37, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 928.92084, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "69fe2dd44c40e2acd1ecfd3f", "title" : "Digital Content Production Manager, IDC Content Studio", "company" : "Amazon Web Services, Inc.", "industry" : "Marketing PR, Marketing, Cloud Computing", "salary" : { "min" : 120000.0, "max" : 163000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T04:16:46.411", "fingerprint" : "9955df96ee9f02707d5f940506cf3ba13ea331c530279b82d03958d526bc90d6", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10415048/apply", "externalId" : "c3ecdf01-63f9-4516-8723-5a70e61f932f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Photoshop, Illustrator, InDesign, Premiere Pro, After Effects, XD", "professionalSkills" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics", "Production management", "Creative production", "Content production", "Program management", "Marketing operations", "Digital marketing", "Brand integrity", "Strategic thinking", "Operational excellence", "Cross-functional alignment", "Quality standards", "Creative disciplines", "Video production", "UX design", "Graphic design", "Copywriting", "Talent commitments", "Agency management", "Vendor management", "Performance reviews", "Risk mitigation", "Resource planning", "Quality assurance", "Technical specifications", "Process improvements", "Automation opportunities", "Content production cycles", "Scalability" ], "hardSkillsList" : [ "Content creation", "Project management", "Budget tracking", "Resource utilization" ], "softSkillsList" : [ "Interpersonal finesse" ], "hardSkills" : [ { "name" : "Content creation", "level" : "intermediate" }, { "name" : "Project management", "level" : "intermediate" }, { "name" : "Budget tracking", "level" : "intermediate" }, { "name" : "Resource utilization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Interpersonal finesse" } ], "majorSkills" : "Content production, Project management, Marketing content, Digital marketing", "majorSkillsList" : [ "Content production", "Project management", "Marketing content", "Digital marketing" ], "coreResponsibilities" : "Serve as primary point of contact, Manage requestor expectations, Communicate project status, Build trusted partnerships, Conduct discovery calls, Align on creative asks, Refine project artifacts, Confirm project scope, Present tactical approaches, Present business rationale, Manage end-to-end project timelines, Manage resource allocation, Manage deliverable schedules, Establish workback schedules, Achieve on-time delivery, Coordinate creative disciplines, Serve as single-threaded partner, Support agency selection, Support agency onboarding, Support agency management, Conduct agency performance reviews, Escalate risks, Flag issues proactively, Protect project timelines, Track project budgets, Optimize resource utilization, Maximize output quality, Develop project plans, Implement review processes, Ensure deliverables meet standards, Maintain working knowledge, Contribute to AI improvements, Identify project risks, Develop mitigation strategies, Communicate status updates", "teamCollaboration" : "Partner with IDP v-teams; Cross-functional alignment; Coordinate creative teams; Coordinate technical teams; Coordinate creative disciplines; Work with senior team members", "projectManagementSkills" : [ "Project management", "Timeline management", "Resource allocation", "Workflow management", "Agile", "Sprint-based workflows" ], "domainKnowledge" : "Digital marketing content; B2B technology marketing; Cloud marketing; Content operations", "domainList" : [ "digital-marketing-content", "b2b-technology-marketing", "cloud-marketing", "content-operations" ], "domainSpecificKnowledge" : [ "Digital marketing content", "B2B technology marketing", "Cloud marketing", "Content operations" ], "toolProficiency" : [ "Jira", "Wrike", "Workfront", "Adobe Creative Suite" ], "communicationSkills" : "Communicate status updates; Present to stakeholders; Present to leadership", "documentationSkills" : "Creative Brief; Bill of Materials", "innovationCreativity" : "AI-enabled process improvements; Automation opportunities", "problemSolvingSkills" : "Risk mitigation; Problem identification", "outcomesObjectives" : "Deliver exceptional work; Meet highest standards; Ensure brand integrity; Achieve on-time delivery", "qualificationsBasic" : "Bachelor's degree or 3+ years experience, Manage multiple projects and priorities, Experience with web-based design tooling, Experience with project management software, Knowledge of Adobe design programs, 4+ years creative production experience, 4+ years content production management experience, 4+ years program management experience", "qualificationsPreferred" : "Experience leading process improvements, Experience leading operations tool implementations, Experience in international content, Experience in localization of content, Experience in B2B technology marketing, Experience in cloud marketing, Familiarity with Agile/sprint-based workflows, Familiarity with content operations frameworks, Experience managing large-scale programs, Experience managing multi-stakeholder programs, Understanding of digital marketing content types", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS IDC Content Studio is seeking a results-driven Production Manager to serve as a key production partner for IDP digital marketing content across AWS Marketing. This role is the vital link between creative vision and flawless delivery — orchestrating digital content projects from intake through final delivery, ensuring IDP programs and campaigns transform into exceptional, bar-raising work. As the \"front of the house\" partner, you will serve as the primary production partner for IDP v-teams and requestors across AWS Marketing, managing expectations, supporting cross-functional alignment, and ensuring every deliverable meets the highest standards of quality and brand integrity. This role demands strategic thinking, operational excellence, and interpersonal finesse. . Key job responsibilities Requestor Relationship Management. Serve as the primary point of contact for requestors within the IDC and across AWS Marketing, managing expectations, communicating project status, and building trusted partnerships. · Conduct discovery calls to align on creative asks, refine project artifacts (Creative Brief, Bill of Materials), and confirm scope before moving into production · Present tactical approaches, and business rationale to stakeholders and leadership — including documents reviewed at the Manager/Director level Project Coordination & Workflow Management · Manage end-to-end project timelines, resource allocation, and deliverable schedules across multiple concurrent IDP campaigns · Establish workback schedules during the Confirmation stage to achieve on-time delivery across all content tiers Cross-Functional Team Leadership · Coordinate between creative, strategy, IDP v-teams, and technical teams to ensure alignment on project goals, timelines, and quality standards · Coordinate creative disciplines across video production, UX design, graphic design, and copywriting. · Serve as the single-threaded production partner for assigned IDP programs — the most familiar person with content, project nuances, contracts, and talent commitments Agency & Vendor Management · Support the selection, onboarding, and management of external agency and production partners · · Conduct regular performance reviews with agency partners; escalate risks and flag issues proactively to protect project timelines Budget & Resource Planning · Track project budgets and optimize resource utilization across internal teams and external partners to maximize output quality · Develop project plans including steps, timelines, and communication rollout strategies Quality Assurance & Delivery · Implement rigorous review processes to ensure all deliverables meet AWS brand standards, technical specifications, and requestor requirements before final delivery · Maintain working knowledge across creative disciplines — video, UX, graphic design, and written content — and proficiency in Adobe Creative Suite (Photoshop, Illustrator, InDesign, Premiere Pro, After Effects, XD) for quality assessment · Contribute to AI-enabled process improvements and automation opportunities to accelerate content production cycles · Proactively identify project risks, develop mitigation strategies, and communicate status updates to senior team members and leadership with clarity and consistency A day in the life A Production Manager handles complex, high-visibility content production projects with growing autonomy. They work with guidance from senior team members on the most strategic decisions, demonstrate execution and emerging strategic thinking, and contribute to initiatives that improve quality and scalability across the IDC organization. About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. AWS Marketing leads the charge in cloud innovation, inspiring and empowering customers and partners to unlock their cloud potential. We shape AWS's industry perception through compelling narratives that demonstrate our leadership in AI and transformative solutions, while driving customer growth across our vast service portfolio. Join our forward-thinking team in an inclusive, collaborative environment where diverse perspectives and bold thinking thrive. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Basic Qualifications: - Bachelor's degree, or 3+ years of content creation or similar experience - Experience managing multiple projects and priorities across teams in a fast-paced, deadline-driven environment - Experience with web-based design tooling and project management software (Jira, Wrike, Workfront, etc.) - Knowledge of Adobe design programs including Photoshop, Illustrator, InDesign - 4+ years of experience in creative production, content production management, or program management in a marketing or agency environment Preferred Qualifications: - Experience leading process improvements or operations tool implementations (e.g. digital asset management tool) - Experience in international content or localization of content - Experience in B2B technology or cloud marketing environments - Familiarity with Agile/sprint-based production workflows and content operations frameworks - Experience managing large-scale, multi-stakeholder programs such as marketing summits, global campaign launches, or integrated demand programs - Understanding of digital marketing content types including eBooks, paid media, email campaigns, display ads, and video content 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 120,500.00 - 163,000.00 USD annually", "summaryDescription" : "Digital Content Production Manager, IDC Content Studio at Amazon Web Services, Inc.. Skills: Content production, Project management, Marketing content, Digital marketing. Serve as primary point of contact. Manage requestor expectations", "postedDate" : "2026-06-13T10:19:46.627", "createdAt" : "2026-06-13T10:19:46.627", "lastUpdated" : "2026-06-15T04:16:46.411", "ingestTimestamp" : "2026-06-13T10:19:46.627", "mongoId" : "69fe2dd44c40e2acd1ecfd3f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10415048/apply", "salaryAnnualMin" : 120000, "salaryAnnualMax" : 163000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Content creation", "Project management", "Budget tracking", "Resource utilization", "Interpersonal finesse", "Content production", "Marketing content", "Digital marketing", "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics", "Production management", "Creative production", "Program management", "Marketing operations", "Brand integrity", "Strategic thinking", "Operational excellence", "Cross-functional alignment", "Quality standards", "Creative disciplines", "Video production", "UX design", "Graphic design", "Copywriting", "Talent commitments", "Agency management", "Vendor management", "Performance reviews", "Risk mitigation", "Resource planning", "Quality assurance", "Technical specifications", "Process improvements", "Automation opportunities", "Content production cycles", "Scalability", "Timeline management", "Resource allocation", "Workflow management", "Agile", "Sprint-based workflows", "Digital marketing content", "B2B technology marketing", "Cloud marketing", "Content operations", "Jira", "Wrike", "Workfront", "Adobe Creative Suite" ], "skillCount" : 51, "jobCategory" : "marketing", "dataQualityScore" : 1.0, "_score" : 912.452, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c5e3474d8ee00a08e2216", "title" : "AI Content Strategist", "company" : "Evolve", "industry" : "Vacation Rental", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for AI Content Strategist in Virginia Beach, adjusted for mid-seniority and the hospitality industry." }, "location" : "Remote - US", "locations" : [ "Remote - US" ], "timestamp" : "2026-06-15T00:48:13.025", "fingerprint" : "9e6cd9b24b7f2a61556b1792ae6ae7bd3d58d7d501d064ab853ac1ae7d3a961e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/evolvevacationrental/jobs/7770377003", "externalId" : "7770377003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Virginia Beach", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.8496579,-75.9760751" } ], "locationText" : "Virginia Beach, Virginia, United States", "technicalSkills" : "AI, Figma, Canva, Adobe Suite, Claude, ChatGPT, Gemini, Zapier, Make", "professionalSkills" : [ "Content marketing", "Brand strategy", "Creative direction", "Systems design", "Workflow automation", "Content strategy", "Brand voice", "Brand standards", "Visual standards", "Creative production", "Copywriting", "Visual design", "Briefing partners", "QAing work" ], "hardSkillsList" : [ "Prompt engineering", "AI model training", "Content workflow design", "Content system building", "Brand voice training", "Style guide creation", "Template building", "Visual design", "Copywriting" ], "hardSkills" : [ { "name" : "Prompt engineering", "level" : "intermediate" }, { "name" : "AI model training", "level" : "intermediate" }, { "name" : "Content workflow design", "level" : "intermediate" }, { "name" : "Content system building", "level" : "intermediate" }, { "name" : "Brand voice training", "level" : "intermediate" }, { "name" : "Style guide creation", "level" : "intermediate" }, { "name" : "Template building", "level" : "intermediate" }, { "name" : "Visual design", "level" : "intermediate" }, { "name" : "Copywriting", "level" : "intermediate" } ], "majorSkills" : "AI content engine, Brand voice, Content systems, Prompt engineering", "majorSkillsList" : [ "AI content engine", "Brand voice", "Content systems", "Prompt engineering" ], "coreResponsibilities" : "Build AI content engine, Design AI-powered workflows, Build AI-powered workflows, Refine AI-powered workflows, Produce on-brand output, Create brand training materials, Maintain brand training materials, Create prompt libraries, Maintain prompt libraries, Create style guides, Maintain style guides, Teach AI tools brand voice, Teach AI tools brand thinking, Teach AI tools brand communication, Evaluate AI content tools, Onboard AI content tools, Optimize AI content tools, Build self-service templates, Build self-service workflows, Own brand voice, Own brand tone, Own visual standards, Make standards actionable, Build internal content toolkit, Maintain internal content toolkit, Empower team content creation, Review contractor output, QA contractor output, Review AI-generated output, QA AI-generated output, Produce brand content, Produce visual design, Produce copy, Manage external creative partners, Brief external partners, QA external partner work, Set creative standard", "teamCollaboration" : "Cross-functional teams; Marketing team; Creative partners", "domainKnowledge" : "Vacation rental; Hospitality industry; Travel industry; Marketplace industry", "domainList" : [ "vacation-rental", "hospitality-industry", "travel-industry", "marketplace-industry" ], "domainSpecificKnowledge" : [ "Vacation rental", "Hospitality industry", "Travel industry", "Marketplace industry" ], "toolProficiency" : [ "Claude", "ChatGPT", "Gemini", "Zapier", "Make", "Figma", "Canva", "Adobe Suite" ], "documentationSkills" : "Brand guidelines; Style guides; Prompt libraries; Content toolkit", "innovationCreativity" : "AI workflows; Content systems", "problemSolvingSkills" : "Creative judgment; Systems thinking", "qualificationsBasic" : "4+ years content marketing experience, 4+ years brand experience, 4+ years creative role experience, Portfolio reflecting brand sensibility, Portfolio reflecting visual design skills, Deep AI content tools expertise, Prompt engineering expertise, AI model training expertise, Systems-first mindset, Experience building repeatable content workflows, Experience building automation, Creative judgment, Comfort managing external creative contractors, Comfort managing agencies", "qualificationsPreferred" : "AI agent workflows experience, Multi-agent content systems experience, Hospitality industry background, Travel industry background, Marketplace industry background", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "At Evolve, we’re on a mission to make vacation rental easy for everyone. Our high-performing, customer-obsessed team runs on curiosity, communication, and accountability—working together to create exceptional experiences for our owners and guests. Whether solving big challenges, delivering outstanding results, or celebrating wins, we approach every day with purpose and passion. If you’re ready to join a mission-driven company where every teammate has the opportunity to thrive, Evolve might just be the place for you. What we're looking for Evolve is on a mission to make vacation rental easy for everyone. At our scale, that means our brand has to show up consistently and beautifully across hundreds of content touchpoints — blog posts, emails, social ads, help articles — often all at once. We're looking for an AI Content Strategist to lead how we build, train, and operate our AI-powered content engine. This is primarily a builder and systems role — roughly 80% of your time will be spent designing AI workflows, training AI tools on our brand voice, building self-service content systems for the team, and producing AI-generated content at scale. The other 20% is about knowing when a campaign, launch, or key moment needs a human creative touch — and being the person who delivers it. What you'll do Build and operate our AI content engine (~60% of your time) Design, build, and continuously refine AI-powered content workflows that produce on-brand output across every format — blog, email, social, help center, and more Create and maintain brand training materials, prompt libraries, and style guides that teach our AI tools how Evolve sounds, thinks, and communicates Evaluate, onboard, and optimize AI content tools as the landscape evolves Build self-service templates and workflows so every marketer on the team can produce great content independently and at scale Own brand standards and enable the team (~20% of your time) Own Evolve's brand voice, tone, and visual standards — and make them actionable for both humans and AI tools through clear documentation, guidelines, and training resources Build and maintain the internal content toolkit: templates, asset libraries, and AI usage playbooks that empower the team to create confidently and consistently Review and QA contractor and AI-generated output before it publishes Show up as the creative when it counts (~20% of your time) Produce high-quality brand content — visual design, copy, or a combination — for campaigns, launches, and moments where human craft makes the difference Manage external creative partners when we need to expand capacity, ensuring every partner understands our brand and delivers work that feels like Evolve Set the creative standard for what \"great\" looks like at Evolve What makes you a great fit 4+ years of experience in content marketing, brand, or a creative role where quality and consistency were non-negotiable, with a portfolio that reflects strong brand sensibility and visual design skills (Figma, Canva, or Adobe Suite) Deep hands-on expertise with AI content tools (Claude, ChatGPT, Gemini, or similar), including prompt engineering and training AI models on brand voice and style A systems-first mindset with demonstrated experience building repeatable content workflows and automation using tools like Zapier or Make Strong creative judgment — you know when to let AI run and when to take the wheel, and you're energized by building systems that enable the whole team, not just producing great work yourself Comfortable managing external creative contractors or agencies, briefing and QA-ing their work to ensure brand-consistent delivery Bonus points Experience with AI agent workflows or multi-agent content systems Hospitality, travel, or marketplace industry background Compensation For this role our salary range is $110,000 to $135,000 depending on relevant experience. Compensation for this role may vary to reflect local market conditions Location All Evolve team members must live in one of our approved locations by their first day. We can hire from anywhere in the U. S. except D. C. and Hawaii. Some positions may also have restrictions based on compensation in the following states: California, Maryland, New York, Pennsylvania, Rhode Island, and Washington. If you live in Colorado, you can work remotely anywhere in the state, at our downtown Denver office, or a hybrid of both! If you're planning to move soon, please let us know, and we'll be happy to review your application again. California Applicant Privacy Policy | Evolve How we reward Evolvers We’re intentional about offering benefits that empower every Evolver to thrive both professionally and personally because they’re more than perks—they’re investments in our customer-obsessed, high-performing team. We believe in treating others as they want to be treated, providing benefits that deliver real value, and challenging the status quo to meet the diverse needs of our team. Whether it’s helping you take care of your health, plan for the future, or celebrate life’s milestones, our offerings are designed to support you every step of the way. Financial Wellness: Industry-competitive pay, equity in the company, and a 401(k) with a 4% immediate vesting match. Family Support: 16-18 weeks of paid parental leave for birthing parents and 10 weeks for non-birthing parents, plus infertility coverage. Health & Wellness: Comprehensive medical, dental, and vision plans, with 100% employer-paid dental and vision for individual coverage, a low-cost medical option, 10 free mental health visits, and pet insurance. Time to Recharge: Generous PTO, RTO (for full-time exempt employees), sick leave, holidays, and a personal holiday to celebrate what matters most to you. Travel Perks: Annual Evolve travel credit after one year and discounts on stays at all Evolve properties. Growth Opportunities: World-class onboarding programs, learning, and development resources to help you grow your impact. Connection: Employee Resource Groups celebrating our diverse communities at Evolve. How we work together With our core values as our guide, every Evolver helps shape the company we want to work for and the people we want to be. We’ve cultivated a culture of collaboration, care, and responsibility that we can all be proud of, and we’re excited to see what you’ll bring as your authentic self. Still curious about who we are and what we do? Read more about our business and our culture at evolve.com. EEO At Evolve, we are committed to diversity and inclusion. As an equal opportunity employer, all qualified candidates will be considered for employment without regard to race, color, creed, religion, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, marital status, national origin, ancestry, citizenship status, military service or veteran status, physical or mental disability, or any other legally protected characteristic. Evolve participates in e-Verify for all positions. If you have a disability or special need that requires accommodation at any point in the hiring process, please let your recruiter know.", "summaryDescription" : "AI Content Strategist at Evolve. Skills: AI content engine, Brand voice, Content systems, Prompt engineering. Build AI content engine. Design AI-powered workflows", "postedDate" : "2026-06-12T21:53:45.704", "createdAt" : "2026-06-12T21:53:45.704", "lastUpdated" : "2026-06-15T00:48:13.025", "ingestTimestamp" : "2026-06-12T21:53:45.704", "mongoId" : "6a2c5e3474d8ee00a08e2216", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 110000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Prompt engineering", "AI model training", "Content workflow design", "Content system building", "Brand voice training", "Style guide creation", "Template building", "Visual design", "Copywriting", "AI content engine", "Brand voice", "Content systems", "Content marketing", "Brand strategy", "Creative direction", "Systems design", "Workflow automation", "Content strategy", "Brand standards", "Visual standards", "Creative production", "Briefing partners", "QAing work", "Vacation rental", "Hospitality industry", "Travel industry", "Marketplace industry", "Claude", "ChatGPT", "Gemini", "Zapier", "Make", "Figma", "Canva", "Adobe Suite" ], "skillCount" : 35, "jobCategory" : "marketing", "jobSubcategory" : "marketing", "dataQualityScore" : 0.7777778, "_score" : 910.40704, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Vacation Rental" }, { "id" : "6a10b05d58b93c861e1edf82", "title" : "Cook, Exploration", "company" : "IAMGOLD", "industry" : "Hospitality", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Cook, Exploration in Canada, adjusted for mid-seniority and the mining industry." }, "location" : "06 - Cote Gold Mine Site", "locations" : [ "06 - Cote Gold Mine Site", "
06 - Cote Gold Mine Site (06 - Cote Gold Mine Site)
IAMGOLD Corp, Côté Gold Division
3 Mesomikenda Lake RdPO Box 100
Gogama, P0M 1W0

" ], "timestamp" : "2026-06-15T05:12:21.682", "fingerprint" : "b48b4ce2fa03424aa65e203ff9253930dfd8087951a5d578e18d231b4fc24d13", "source" : "taleo", "language" : "en", "applyUrl" : "https://iamgold.taleo.net/careersection/ex/jobdetail.ftl?job=57914", "externalId" : "57914", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Canada", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Canada", "employmentType" : "CONTRACT", "experienceMinYears" : 3, "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Food preparation", "Menu planning", "Grocery ordering", "Kitchen operations" ], "softSkillsList" : [ "Interpersonal skills", "Communication skills" ], "hardSkills" : [ { "name" : "Food preparation", "level" : "intermediate" }, { "name" : "Menu planning", "level" : "intermediate" }, { "name" : "Grocery ordering", "level" : "intermediate" }, { "name" : "Kitchen operations", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Interpersonal skills" }, { "name" : "Communication skills" } ], "majorSkills" : "Food production, Quality standards, Safety standards", "majorSkillsList" : [ "Food production", "Quality standards", "Safety standards" ], "coreResponsibilities" : "Plan food production, Prepare all food production, Deliver exceptional meals, Maintain quality standards, Maintain safety standards, Ensure timely meal preparation, Ensure timely meal delivery, Manage grocery orders, Maintain facilities, Maintain equipment, Perform meal preparation, Perform cleanup, Plan menus, Manage food requirements, Manage equipment requirements, Check quantity of received products, Check quality of received products, Report issues to supervisor, Record production data, Record operational data, Estimate required supplies, Handle ordering supplies, Handle requisitioning supplies, Prepare hot lunch, Prepare hot dinner, Prepare continental breakfast", "teamCollaboration" : "Collaborate with colleagues", "domainKnowledge" : "Mining operations", "domainList" : [ "mining-operations" ], "domainSpecificKnowledge" : [ "Mining operations" ], "communicationSkills" : "Oral communication; Written communication", "problemSolvingSkills" : "Problem solving; Organizational skills", "specialRequirements" : "Seven days on, Seven days off, 10 hours per day", "qualificationsBasic" : "3 years of work experience, Hands-on experience in high-volume catering", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Empowering People – Extraordinary Performance IAMGOLD is a leading mid-tier gold producer and developer based in Canada, with operating mines in North America and West Africa. Throughout our 30 year history, we have demonstrated our commitment to responsible and sustainable mining practices, and our Zero Harm® commitment ensures that we continually strive to reach the highest standards in human health and safety, minimize our impact on the environment and support the development of the local communities in which we proudly operate. At IAMGOLD we believe that by engaging, empowering and supporting each other, we can achieve extraordinary performance. Our core values guide us; we are driven to excellence in everything we do, we are accountable and operate with transparency, we conduct ourselves with respect and embrace diversity, we grow with teamwork, learning and innovation. IAMGOLD is proud to be named one of Greater Toronto’s Top Employers and to be recognized on the Bloomberg Gender-Equality Index for 2023. Start Your Next Opportunity with IAMGOLD For this 12 month contract we are seeking an individual to take on the role of Cook, Exploration . Your primary mission: to plan and prepare all food production on our site, delivering exceptional meals while maintaining the highest quality and safety standards. Food Preparation Your duties will include ensuring timely meal preparation and delivery, managing grocery orders to guarantee the correct quantity and quality of products, and maintaining the facilities and equipment in regulatory compliance. You'll also be responsible for performing meal preparation and cleanup. Planning and Budgeting You will plan menus while efficiently managing food and equipment requirements for the kitchen. You will check the quantity and quality of received products, reporting any issues to your supervisor, and recording production and operational data on specified forms. You'll also estimate the numbers of required supplies, from food to ingredients, and handle ordering or requisitioning to guarantee the smoothest kitchen operation possible. Currently, the schedule is seven days on and seven days off, with each working day consisting of 10 hours for 12 months. You'll be responsible for preparing hot lunch and dinner, as well as continental breakfast items for the following morning. What You Need to Succeed Qualifications and skills include a minimum of 3 years of work experience in a related environment and hands-on experience in a high-volume catering setting. Your ability to anticipate and solve problems, coupled with strong organizational skills, will be vital. Your excellent interpersonal and communication skills, both oral and written, will allow you to collaborate with colleagues at all levels of our organization. Canada", "summaryDescription" : "Cook, Exploration at IAMGOLD. Skills: Food production, Quality standards, Safety standards. Plan food production. Prepare all food production", "createdAt" : "2026-06-14T00:52:23.611", "lastUpdated" : "2026-06-15T05:12:21.682", "ingestTimestamp" : "2026-06-14T00:52:23.611", "mongoId" : "6a10b05d58b93c861e1edf82", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Food preparation", "Menu planning", "Grocery ordering", "Kitchen operations", "Interpersonal skills", "Communication skills", "Food production", "Quality standards", "Safety standards", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Mining operations" ], "skillCount" : 16, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 893.46515, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Mining", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e420f8b1b0376634c49a", "title" : "AI Content Expert II", "company" : "ADCI MAA 12 SEZ", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 1200000.0, "max" : 2100000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for AI Content Expert II in Chennai, India, adjusted for mid-seniority and technology industry." }, "location" : "Chennai, Tamil Nadu, IND", "locations" : [ "Chennai, Tamil Nadu, IND" ], "timestamp" : "2026-06-15T11:14:05.295", "fingerprint" : "6621ed9481b0fee45a295858ea292d7bb7d1f52bae61c5b159ffaf3f4f44b824", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3078270/apply", "externalId" : "aa9f3efa-5a93-4834-89f6-af389683602b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chennai", "state" : "Tamil Nadu", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "13.0836939,80.2701860" } ], "locationText" : "Chennai, Tamil Nadu, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, UNIX, HTML, XML, Markdown, JSON, CSV, RTF, LLM", "professionalSkills" : [ "Data analysis", "Content generation", "Guideline review", "Tooling improvement", "Quality checks", "Decision making", "Problem implementation" ], "hardSkillsList" : [ "Data annotation", "Text generation", "Data markup", "Grammar", "Style adherence", "Auditing", "Quality assurance", "Logical decision making", "Issue identification", "Bug reporting", "Labeling functions", "Dialogue evaluation" ], "softSkillsList" : [ "Concentration", "Multi-tasking", "Confidentiality", "Individuality" ], "hardSkills" : [ { "name" : "Data annotation", "level" : "intermediate" }, { "name" : "Text generation", "level" : "intermediate" }, { "name" : "Data markup", "level" : "intermediate" }, { "name" : "Grammar", "level" : "intermediate" }, { "name" : "Style adherence", "level" : "intermediate" }, { "name" : "Auditing", "level" : "intermediate" }, { "name" : "Quality assurance", "level" : "intermediate" }, { "name" : "Logical decision making", "level" : "intermediate" }, { "name" : "Issue identification", "level" : "intermediate" }, { "name" : "Bug reporting", "level" : "intermediate" }, { "name" : "Labeling functions", "level" : "intermediate" }, { "name" : "Dialogue evaluation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Concentration" }, { "name" : "Multi-tasking" }, { "name" : "Confidentiality" }, { "name" : "Individuality" } ], "majorSkills" : "AI Content, LLM Training Data, Data Annotation", "majorSkillsList" : [ "AI Content", "LLM Training Data", "Data Annotation" ], "coreResponsibilities" : "Create training data, Annotate complex training data, Write grammatically correct texts, Adhere to guidelines, Perform audits, Perform quality checks, Make sound judgments, Make logical decisions, Dive deep into issues, Implement solutions independently, Identify tooling bugs, Report tooling bugs, Suggest tooling improvements, Undertake foundational labeling functions, Evaluate dialogue data", "teamCollaboration" : "Working closely with scientists; Working closely with engineers; Diverse team", "domainKnowledge" : "Large Language Models; Generative AI", "domainList" : [ "large-language-models", "generative-ai" ], "domainSpecificKnowledge" : [ "Large Language Models", "Generative AI" ], "communicationSkills" : "Writing; Reading; Comprehension", "innovationCreativity" : "Creative mind", "problemSolvingSkills" : "Problem implementation", "specialRequirements" : "Strict confidentiality", "qualificationsBasic" : "Bachelor's degree or equivalent experience, 2+ years experience with written language data, Understanding of U.S. culture, Research skills, Basic academic integrity understanding, Excellent attention to details, Ability to focus for long periods, Comfortable with high-school level STEM, Ability to write and evaluate diverse subject matter, Ability to adapt writing style, Ability to adapt to fast-paced environments", "qualificationsPreferred" : "Proficiency in English (C1 level), Experience creating complex data for LLM training, 1+ year experience with command line interfaces, Familiarity with HTML, XML, Markdown, Familiarity with JSON, CSV, RTF, Working knowledge of Python or scripting language, Familiarity with regular expressions syntax, Familiarity with Large Language Models, Comfort in annotation work with sensitive content", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. - Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines - Performing audits and quality checks of tasks completed by other specialists, if required - Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements 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: - Bachelor’s degree in a relevant field or equivalent professional experience - 2+ years of experience working with written language data, including experience with annotation, and other forms of data markup. - Strong understanding of U.S.-based culture, society, and norms. - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. - Excellent attention to details and ability to focus for a long period of time - Comfortable with high-school level STEM* - Ability to effectively write and evaluate diverse subject matter across various domains* - Ability to adapt writing style to suit various style guidelines and customers. - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications: - Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). - Experience with creating complex data for LLM training and evaluation - 1+ year(s) of experience working with command line interfaces and basic UNIX commands - Familiarity with common markup languages such as HTML, XML, Markdown - Familiarity with common standard text formats such as JSON, CSV, RTF - Working knowledge of Python or another scripting language - Familiarity with regular expressions syntax - Familiarity with Large Language Models - Comfort in annotation work that may include sensitive content 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 Content Expert II at ADCI MAA 12 SEZ. Skills: AI Content, LLM Training Data, Data Annotation. Create training data. Annotate complex training data", "postedDate" : "2026-06-13T20:13:33.505", "createdAt" : "2026-06-13T20:13:33.505", "lastUpdated" : "2026-06-15T11:14:05.295", "ingestTimestamp" : "2026-06-13T20:13:33.505", "mongoId" : "68c2e420f8b1b0376634c49a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3078270/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data annotation", "Text generation", "Data markup", "Grammar", "Style adherence", "Auditing", "Quality assurance", "Logical decision making", "Issue identification", "Bug reporting", "Labeling functions", "Dialogue evaluation", "Concentration", "Multi-tasking", "Confidentiality", "Individuality", "AI Content", "LLM Training Data", "Data Annotation", "Data analysis", "Content generation", "Guideline review", "Tooling improvement", "Quality checks", "Decision making", "Problem implementation", "Large Language Models", "Generative AI" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 871.1464, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "68e6b1dd70f0b99d58d66f1f", "title" : "Senior Product Manager, AI Content Discovery", "company" : "Audible, Inc.", "industry" : "Project/Program/Product Management--Technical, Product Management - Technical, subsidiaries", "salary" : { "min" : 136100.0, "max" : 235200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Newark, New Jersey, USA", "locations" : [ "Newark, New Jersey, USA" ], "timestamp" : "2026-06-15T02:11:13.426", "fingerprint" : "4ea3348f36b314cc93c5dfb6788dda0eb4bde9c231ea0fb2719a89d689b0cd8a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3102314/apply", "externalId" : "54b37e8a-efc0-4e1f-99ee-fad908f8691a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Newark", "state" : "New Jersey", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7356570,-74.1723667" } ], "locationText" : "Newark, New Jersey, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, Machine learning, GenAI, Large language models", "professionalSkills" : [ "Product strategy", "Roadmap execution", "Data-driven decision making" ], "hardSkillsList" : [ "Content discovery", "Personalization features" ], "hardSkills" : [ { "name" : "Content discovery", "level" : "intermediate" }, { "name" : "Personalization features", "level" : "intermediate" } ], "majorSkills" : "AI Content Discovery, Machine Learning, Personalization", "majorSkillsList" : [ "AI Content Discovery", "Machine Learning", "Personalization" ], "coreResponsibilities" : "Define and execute roadmap, Develop strategies to enhance personalization, Build with AI-first mindset, Champion GenAI technology innovations, Implement GenAI in content discovery, Lead cross-functional collaboration, Create discovery experiences, Work with data science teams, Evaluate AI/ML model choices, Determine tradeoffs between performance and efficiency, Design personalization features, Implement personalization features, Empower customers to shape experience, Connect users with content, Drive understanding of AI-powered discovery, Champion data-driven insights, Measure performance of AI/ML features, Analyze performance against business objectives, Optimize and refine models, Interpret insights, Translate technical concepts, Create product requirements documents", "teamCollaboration" : "Cross-functional collaboration; Engineering teams; Data science teams; UX teams", "projectManagementSkills" : [ "Roadmap execution" ], "domainKnowledge" : "Content discovery systems; AI-powered content discovery; Media industry", "domainList" : [ "content-discovery-systems", "ai-powered-content-discovery", "media-industry" ], "domainSpecificKnowledge" : [ "Content discovery systems", "AI-powered content discovery", "Media industry" ], "communicationSkills" : "Translate complex concepts", "documentationSkills" : "Product requirements documents", "innovationCreativity" : "Championing innovations; GenAI technology innovations", "problemSolvingSkills" : "Problem-solving skills; Data-driven decision making; Data analytics; Data interpretation", "qualificationsBasic" : "Bachelor's degree in quantitative/technical field, 5+ years consumer product management, 1+ year in complex organizations, Data driven hypothesis testing, Experimentation experience, Experience working with design teams", "qualificationsPreferred" : "3+ years ML oriented PM, Generative AI experience, Large language models experience, AI/ML solutions for search, AI/ML solutions for browse, AI/ML solutions for content recommendation, Content streaming industry experience, Media industry experience, Entertainment industry experience, Evaluate AI/ML models benefits, Recognize AI/ML models limitations, Data analytics skills, Data interpretation skills, Rapid prototyping AI-driven features, Conduct A/B tests", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us. ABOUT THIS ROLE Audible is seeking a Senior Product Manager, AI Content Discovery to define and build critical experiences that will help the right users find the right content at the right time. As part of the Content Discovery team, which encompasses Search, Personalization and Browse, you will leverage AI technologies to connect listeners with content they love. Your mission will be to build features that delight every Audible member by making content discovery intuitive, effortless, and compelling. ABOUT YOU You're a continuous learner with a commitment to action and an attitude that anything is possible. You execute cross-functional projects with a relentless customer focus. An accountable, hands-on problem-solver, you let nothing stand in your way. With strong problem-solving skills, deep product management experience, and an understanding of ML/AI-powered content discovery systems, you excel at communication and data-driven decision-making. Ready to engage with engineering teams, you work cross-functionally to solve complex discovery problems. If you love rolling up your sleeves, getting stuff done, and have a passion for AI-driven content discovery in the media industry, this role is for you. As a Senior Product Manager, AI Content Discovery, you will... - Define and execute the roadmap with clearly articulated and well-measured goals, contributing to the worldwide Content Discovery product strategy - Develop and execute strategies to enhance personalized content discovery experiences, leveraging AI and machine learning techniques to connect users with relevant content based on their unique preferences and behaviors - Build with an AI-first mindset, championing the latest innovations in GenAI technology and implementing them in content discovery experiences - Lead cross-functional collaboration with engineering, data science, and UX teams to create discovery experiences that are meaningful, delightful, and driven by advanced AI algorithms. - Work with data science teams to evaluate AI/ML models choices and determine tradeoffs between performance and efficiency - Design and implement personalization features that empower customers to shape their experience, connecting them with content they'll love based on their listening patterns - Drive understanding across Audible of the impact and potential of AI-powered discovery initiatives, championing data-driven insights to bolster content engagement - Measure and analyze the performance of AI/ML-powered discovery features against business objectives, continuously optimizing and refining models - Interpret insights and translate complex technical concepts into clear product requirements documents for engineering teams ABOUT AUDIBLE Audible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home. Basic Qualifications: - Bachelor's degree in a quantitative/technical field such as computer science, engineering, statistics - 5+ years of experience in consumer product management, with 1+ year in complex organizations - Experience in data driven hypothesis testing and experimentation - Experience working with design teams to improve the user experience for customer facing products/features Preferred Qualifications: - 3+ years of relevant professional experience in a consumer-facing machine learning oriented product management role - Experience with generative AI, large language models, and their applications in customer-facing experiences - Experience implementing AI/ML solutions for search, browse, or content recommendation features - Content streaming/media/entertainment industry experience (books, music, movies, etc.) - Ability to evaluate and recognize the benefits and limitations of various AI/ML models - Strong data analytics and interpretation skills - Experience with rapid prototyping of AI-driven features and conducting A/B tests - Team player: Strong, demonstrated ability to rally and bring varying functional teams together 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 $136,100/year in our lowest geographic market up to $235,200/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 Product Manager, AI Content Discovery at Audible, Inc.. Skills: AI Content Discovery, Machine Learning, Personalization. Define and execute roadmap. Develop strategies to enhance personalization", "postedDate" : "2026-06-13T15:45:07.775", "createdAt" : "2026-06-13T15:45:07.775", "lastUpdated" : "2026-06-15T02:11:13.426", "ingestTimestamp" : "2026-06-13T15:45:07.775", "mongoId" : "68e6b1dd70f0b99d58d66f1f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3102314/apply", "salaryAnnualMin" : 136100, "salaryAnnualMax" : 235200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Content discovery", "Personalization features", "AI Content Discovery", "Machine Learning", "Personalization", "Product strategy", "Roadmap execution", "Data-driven decision making", "Content discovery systems", "AI-powered content discovery", "Media industry" ], "skillCount" : 11, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "_score" : 870.3176, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media" }, { "id" : "68ed10ab70f0b99d58e7ba60", "title" : "AI Content Expert II", "company" : "ADCI HYD 16 SEZ - H83", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for AI Content Expert II in Hyderabad, India, adjusted for mid-seniority and technology industry." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-16T03:40:45.893", "fingerprint" : "253e3893546175fb727753c139c092d4be5363ad03a15a48d9dfc918cc66eab3", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3105155/apply", "externalId" : "8616f697-694f-4152-8fbd-928ed35e0d08", "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" : "Bachelor's", "experienceMinYears" : 2, "technicalSkills" : "Python, HTML, XML, Markdown, JSON, CSV, RTF, Regular expressions", "professionalSkills" : [ "Content generation", "Data analysis", "Guideline review", "Tooling improvement", "Quality checks", "Problem solving" ], "hardSkillsList" : [ "Data annotation", "Text generation", "Content creation", "Quality assurance", "Information synthesis" ], "softSkillsList" : [ "Individuality", "Creative mind" ], "hardSkills" : [ { "name" : "Data annotation", "level" : "intermediate" }, { "name" : "Text generation", "level" : "intermediate" }, { "name" : "Content creation", "level" : "intermediate" }, { "name" : "Quality assurance", "level" : "intermediate" }, { "name" : "Information synthesis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Individuality" }, { "name" : "Creative mind" } ], "majorSkills" : "Data annotation, Content generation, LLM training data", "majorSkillsList" : [ "Data annotation", "Content generation", "LLM training data" ], "coreResponsibilities" : "Create training data, Make informed judgement decisions, Make high judgement decisions, Review guidelines, Update guidelines, Identify tooling improvement opportunities, Engage in conversations regarding data quality, Create complex training data, Annotate complex training data, Write grammatically correct texts, Adhere to provided guidelines, Perform audits of tasks, Perform quality checks of tasks, Make sound judgments, Make logical decisions, Identify tooling bugs, Report tooling bugs, Suggest tooling improvements, Undertake foundational labeling functions, Evaluate dialogue on speech data, Evaluate dialogue on text data, Evaluate dialogue on audio data, Evaluate dialogue on video data", "teamCollaboration" : "Working closely with scientists; Working closely with engineers; Part of a diverse team", "domainKnowledge" : "Large Language Models; Generative AI", "domainList" : [ "large-language-models", "generative-ai" ], "domainSpecificKnowledge" : [ "Large Language Models", "Generative AI" ], "communicationSkills" : "Writing; Reading; Comprehension", "innovationCreativity" : "Creative mind", "problemSolvingSkills" : "Diving deep into issues; Implementing solutions independently", "specialRequirements" : "Fixed term contractual role, 12 months contract", "outcomesObjectives" : "Deliver high-quality training data; Improve LLM capabilities; Expand LLM capabilities", "qualificationsBasic" : "Bachelor's degree or equivalent experience, 2+ years experience with written language data, Experience with annotation, Experience with data markup, Research skills, Understand complex topics, Synthesize multiple understanding, Basic academic integrity understanding, Excellent attention to details, Ability to focus for long periods, Ability to effectively write and evaluate, Ability to adapt writing style, Ability to adapt to fast-paced environments", "qualificationsPreferred" : "Proficiency in English (C1 level), Experience creating complex data for LLM training, Experience creating complex data for LLM evaluation, Understanding of U.S.-based culture, Understanding of U.S.-based society, Understanding of U.S.-based norms, Comfort with high-school level STEM, Familiarity with HTML, Familiarity with XML, Familiarity with Markdown, Familiarity with JSON, Familiarity with CSV, Familiarity with RTF, Working knowledge of Python, Working knowledge of scripting language, Familiarity with regular expressions syntax, Familiarity with Large Language Models, Comfort in annotation work with sensitive content", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. - Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines - Performing audits and quality checks of tasks completed by other specialists, if required - Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements 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: - Bachelor’s degree in a relevant field or equivalent professional experience - 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. - Excellent attention to details and ability to focus for a long period of time - Ability to effectively write and evaluate diverse subject matter across various domains* - Ability to adapt writing style to suit various style guidelines and customers. - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications: - Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). - Experience with creating complex data for LLM training and evaluation - Strong understanding of U.S.-based culture, society, and norms. - Comfortable with high-school level STEM* - Familiarity with common markup languages such as HTML, XML, Markdown - Familiarity with common standard text formats such as JSON, CSV, RTF - Working knowledge of Python or another scripting language - Familiarity with regular expressions syntax - Familiarity with Large Language Models - Comfort in annotation work that may include sensitive content 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 Content Expert II at ADCI HYD 16 SEZ - H83. Skills: Data annotation, Content generation, LLM training data. Create training data. Make informed judgement decisions", "postedDate" : "2026-06-14T19:48:33.717", "createdAt" : "2026-06-14T19:48:33.717", "lastUpdated" : "2026-06-16T03:40:45.893", "ingestTimestamp" : "2026-06-14T19:48:33.717", "mongoId" : "68ed10ab70f0b99d58e7ba60", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3105155/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data annotation", "Text generation", "Content creation", "Quality assurance", "Information synthesis", "Individuality", "Creative mind", "Content generation", "LLM training data", "Data analysis", "Guideline review", "Tooling improvement", "Quality checks", "Problem solving", "Large Language Models", "Generative AI" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 867.9944, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e425f8b1b0376634c637", "title" : "AI Content Expert II", "company" : "ADCI HYD 16 SEZ - H83", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for AI Content Expert II in Hyderabad, India, adjusted for mid-seniority and technology industry." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-16T03:09:14.535", "fingerprint" : "e5e634b934cb3e25779e3679bff502495c3d509f73ddb221438af7c95fdc6fbb", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3077475/apply", "externalId" : "3b42912d-cd74-4d13-9dcb-95cdfe10c8a9", "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" : "Bachelor's", "experienceMinYears" : 2, "technicalSkills" : "Python, UNIX commands, HTML, XML, Markdown, JSON, CSV, RTF, Regular expressions", "professionalSkills" : [ "Data analysis", "Content generation", "Annotation" ], "hardSkillsList" : [ "Data annotation", "Content creation", "Quality assurance", "Decision making", "Problem identification", "Bug reporting" ], "hardSkills" : [ { "name" : "Data annotation", "level" : "intermediate" }, { "name" : "Content creation", "level" : "intermediate" }, { "name" : "Quality assurance", "level" : "intermediate" }, { "name" : "Decision making", "level" : "intermediate" }, { "name" : "Problem identification", "level" : "intermediate" }, { "name" : "Bug reporting", "level" : "intermediate" } ], "majorSkills" : "Data annotation, Content generation, LLM training data", "majorSkillsList" : [ "Data annotation", "Content generation", "LLM training data" ], "coreResponsibilities" : "Create training data, Review and update guidelines, Identify tooling improvement opportunities, Engage in conversations regarding data quality, Create and annotate complex training data, Write grammatically correct texts, Perform audits and quality checks, Make sound judgments with ambiguous information, Dive deep into issues, Implement solutions independently, Identify and report tooling bugs, Suggest tooling improvements, Undertake foundational labeling functions, Evaluate dialogue on speech, text, audio, video data", "teamCollaboration" : "Working closely with scientists; Working closely with engineers; Part of a diverse team", "domainKnowledge" : "Large Language Models; Generative AI", "domainList" : [ "large-language-models", "generative-ai" ], "domainSpecificKnowledge" : [ "Large Language Models", "Generative AI" ], "communicationSkills" : "Writing; Reading; Comprehension", "innovationCreativity" : "Creative mind", "problemSolvingSkills" : "Problem identification; Implementing solutions", "specialRequirements" : "Fixed term contract (12 months), Maintain strict confidentiality, Follow Amazon policies", "qualificationsBasic" : "Bachelor's degree or equivalent experience, 2+ years experience with written language data, Understanding of U.S. culture and norms, Research skills, Basic academic integrity understanding, Excellent attention to details, Ability to focus for long periods, Comfortable with high-school level STEM, Ability to write and evaluate diverse subject matter, Ability to adapt writing style, Ability to adapt to fast-paced environments", "qualificationsPreferred" : "Proficiency in English (C1 CEFR), Experience creating complex data for LLM training, 1+ year experience with command line interfaces, Familiarity with HTML, XML, Markdown, Familiarity with JSON, CSV, RTF, Working knowledge of Python or scripting language, Familiarity with regular expressions syntax, Familiarity with Large Language Models, Comfort in annotation work with sensitive content", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. - Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines - Performing audits and quality checks of tasks completed by other specialists, if required - Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements 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: - Bachelor’s degree in a relevant field or equivalent professional experience - 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. - Strong understanding of U.S.-based culture, society, and norms. - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. - Excellent attention to details and ability to focus for a long period of time - Comfortable with high-school level STEM* - Ability to effectively write and evaluate diverse subject matter across various domains* - Ability to adapt writing style to suit various style guidelines and customers. - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications: - Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). - Experience with creating complex data for LLM training and evaluation - 1+ year(s) of experience working with command line interfaces and basic UNIX commands - Familiarity with common markup languages such as HTML, XML, Markdown - Familiarity with common standard text formats such as JSON, CSV, RTF - Working knowledge of Python or another scripting language - Familiarity with regular expressions syntax - Familiarity with Large Language Models - Comfort in annotation work that may include sensitive content 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 Content Expert II at ADCI HYD 16 SEZ - H83. Skills: Data annotation, Content generation, LLM training data. Create training data. 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As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models' (LLMs) capabilities. Key job responsibilities - Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines - Performing audits and quality checks of tasks completed by other specialists, if required - Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements A day in the life As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. This is a Fixed term contract. About the team The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you. Basic Qualifications: - High-School or equivalent diploma. - Proven experience working with written language data, including experience with annotation, and other forms of data markup. - Strong proficiency in Dutch and English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). - Strong understanding of Dutch and U.S.-based culture, society, and norms. - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. - Excellent attention to details and ability to focus for a long period of time - Comfortable with high-school level STEM - Ability to effectively write and evaluate diverse subject matter across various domains - Ability to adapt writing style to suit various style guidelines and customers. - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications: - Bachelor’s degree in a relevant field or equivalent professional experience - Experience with creating complex data for LLM training and evaluation - Proven experience working with command line interfaces and basic UNIX commands - Familiarity with common markup languages such as HTML, XML, Markdown - Familiarity with common standard text formats such as JSON, CSV, RTF - Working knowledge of Python or another scripting language 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. 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understanding, Excellent attention to details, Ability to focus, Ability to write and evaluate, Ability to adapt writing style, Ability to adapt to fast-paced environments", "qualificationsPreferred" : "Proficiency in English (C1 level), Experience creating complex data for LLM, Understanding of U.S. culture, Comfortable with high-school STEM, Familiarity with HTML, XML, Markdown, Familiarity with JSON, CSV, RTF, Working knowledge of Python, Familiarity with regular expressions, Familiarity with Large Language Models, Comfort with sensitive content annotation", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. Note: This is a Fixed Contractual Role Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. - Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines - Performing audits and quality checks of tasks completed by other specialists, if required - Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements 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: - Bachelor’s degree in a relevant field or equivalent professional experience - 2+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup. - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. - Excellent attention to details and ability to focus for a long period of time - Ability to effectively write and evaluate diverse subject matter across various domains* - Ability to adapt writing style to suit various style guidelines and customers. - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications: - Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). - Experience with creating complex data for LLM training and evaluation - Strong understanding of U.S.-based culture, society, and norms. - Comfortable with high-school level STEM* - Familiarity with common markup languages such as HTML, XML, Markdown - Familiarity with common standard text formats such as JSON, CSV, RTF - Working knowledge of Python or another scripting language - Familiarity with regular expressions syntax - Familiarity with Large Language Models - Comfort in annotation work that may include sensitive content 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 Content Expert II at ADCI MAA 12 SEZ. Skills: AI Content, LLM Training Data, Data Annotation. Create training data. Annotate complex data", "postedDate" : "2026-06-13T20:48:07.233", "createdAt" : "2026-06-13T20:48:07.233", "lastUpdated" : "2026-06-15T05:40:08.770", "ingestTimestamp" : "2026-06-13T20:48:07.233", "mongoId" : "68ed10a470f0b99d58e7b525", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3105157/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Annotation", "Data markup", "Text writing", "Style adaptation", "Information synthesis", "AI Content", "LLM Training Data", "Data Annotation", "Content generation", "Data analysis", "Guideline review", "Tooling improvement", "Quality checks", "Logical decision making", "Problem implementation", "Large Language Models", "Generative AI" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 861.43225, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69fe2dd44c40e2acd1ecfd42", "title" : "Digital Content Production Manager, IDC Content Studio", "company" : "Amazon Web Services, Inc.", "industry" : "Marketing PR, Marketing, Cloud Computing", "salary" : { "min" : 120000.0, "max" : 163000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T08:45:10.703", "fingerprint" : "33da7d7b69de413038c26f861e4471320274ab9f6a808b0717bd5d39f9044c57", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10415044/apply", "externalId" : "76641b29-7a17-4715-a79f-065acd222624", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Photoshop, Illustrator, InDesign, Premiere Pro, After Effects, XD", "professionalSkills" : [ "Creative production", "Content production", "Program management", "Marketing campaigns", "Video production", "UX design", "Graphic design", "Copywriting" ], "hardSkillsList" : [ "Project timelines", "Resource allocation", "Budget tracking", "Quality assurance", "Risk mitigation" ], "hardSkills" : [ { "name" : "Project timelines", "level" : "intermediate" }, { "name" : "Resource allocation", "level" : "intermediate" }, { "name" : "Budget tracking", "level" : "intermediate" }, { "name" : "Quality assurance", "level" : "intermediate" }, { "name" : "Risk mitigation", "level" : "intermediate" } ], "majorSkills" : "Content production, Project management, Creative disciplines, Brand integrity", "majorSkillsList" : [ "Content production", "Project management", "Creative disciplines", "Brand integrity" ], "coreResponsibilities" : "Serve as primary point of contact, Manage requestor expectations, Communicate project status, Build trusted partnerships, Conduct discovery calls, Align on creative asks, Refine project artifacts, Confirm project scope, Present tactical approaches, Present business rationale, Manage end-to-end project timelines, Manage resource allocation, Manage deliverable schedules, Establish workback schedules, Achieve on-time delivery, Coordinate creative teams, Coordinate strategy teams, Coordinate IDP v-teams, Coordinate technical teams, Ensure alignment project goals, Ensure alignment project timelines, Ensure alignment quality standards, Coordinate creative disciplines, Serve as single-threaded production partner, Support agency selection, Support agency onboarding, Support agency management, Conduct agency performance reviews, Escalate risks, Flag issues proactively, Protect project timelines, Track project budgets, Optimize resource utilization, Maximize output quality, Develop project plans, Implement review processes, Ensure deliverables meet brand standards, Ensure deliverables meet technical specifications, Ensure deliverables meet requestor requirements, Contribute to AI improvements, Contribute to automation opportunities, Accelerate content production cycles, Identify project risks, Develop mitigation strategies, Communicate status updates", "teamCollaboration" : "Cross-functional alignment; Creative disciplines; Video production; UX design; Graphic design; Copywriting; Internal teams; External partners; Senior team members; Leadership", "projectManagementSkills" : [ "Project timelines", "Resource allocation", "Deliverable schedules", "Workback schedules", "Project plans", "Risk mitigation" ], "domainKnowledge" : "Digital marketing content; AWS brand standards; Creative disciplines", "domainList" : [ "digital-marketing-content", "aws-brand-standards", "creative-disciplines" ], "domainSpecificKnowledge" : [ "Digital marketing content", "AWS brand standards", "Creative disciplines" ], "toolProficiency" : [ "Adobe Creative Suite" ], "communicationSkills" : "Communicate project status; Present tactical approaches; Present business rationale; Communicate status updates", "documentationSkills" : "Refine project artifacts; Creative Brief; Bill of Materials", "innovationCreativity" : "AI-enabled process improvements; Automation opportunities", "problemSolvingSkills" : "Risk mitigation; Develop mitigation strategies", "outcomesObjectives" : "Achieve on-time delivery; Maximize output quality", "qualificationsBasic" : "Manage multiple projects, Fast-paced, deadline-driven environment, Knowledge of Adobe design programs, 4+ years creative production, 3+ years video production, 3+ years UX design, 3+ years graphic design, Manage creative deliverables, Marketing campaigns $25K-$500K", "qualificationsPreferred" : "1+ years B2B environment, Define workflow marketing department, Define workflow production department, Define workflow creative department, Lead cross-functional teams, Drive marketing initiatives worldwide, Understand digital marketing content types, eBooks, Paid media, Email campaigns, Display ads, Video content", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS IDC Content Studio is seeking a results-driven Production Manager to serve as a key production partner for IDP digital marketing content across AWS Marketing. This role is the vital link between creative vision and flawless delivery — orchestrating digital content projects from intake through final delivery, ensuring IDP programs and campaigns transform into exceptional, bar-raising work. As the \"front of the house\" partner, you will serve as the primary production partner for IDP v-teams and requestors across AWS Marketing, managing expectations, supporting cross-functional alignment, and ensuring every deliverable meets the highest standards of quality and brand integrity. This role demands strategic thinking, operational excellence, and interpersonal finesse. . Key job responsibilities Requestor Relationship Management. Serve as the primary point of contact for requestors within the IDC and across AWS Marketing, managing expectations, communicating project status, and building trusted partnerships. · Conduct discovery calls to align on creative asks, refine project artifacts (Creative Brief, Bill of Materials), and confirm scope before moving into production · Present tactical approaches, and business rationale to stakeholders and leadership — including documents reviewed at the Manager/Director level Project Coordination & Workflow Management · Manage end-to-end project timelines, resource allocation, and deliverable schedules across multiple concurrent IDP campaigns · Establish workback schedules during the Confirmation stage to achieve on-time delivery across all content tiers Cross-Functional Team Leadership · Coordinate between creative, strategy, IDP v-teams, and technical teams to ensure alignment on project goals, timelines, and quality standards · Coordinate creative disciplines across video production, UX design, graphic design, and copywriting. · Serve as the single-threaded production partner for assigned IDP programs — the most familiar person with content, project nuances, contracts, and talent commitments Agency & Vendor Management · Support the selection, onboarding, and management of external agency and production partners · · Conduct regular performance reviews with agency partners; escalate risks and flag issues proactively to protect project timelines Budget & Resource Planning · Track project budgets and optimize resource utilization across internal teams and external partners to maximize output quality · Develop project plans including steps, timelines, and communication rollout strategies Quality Assurance & Delivery · Implement rigorous review processes to ensure all deliverables meet AWS brand standards, technical specifications, and requestor requirements before final delivery · Maintain working knowledge across creative disciplines — video, UX, graphic design, and written content — and proficiency in Adobe Creative Suite (Photoshop, Illustrator, InDesign, Premiere Pro, After Effects, XD) for quality assessment · Contribute to AI-enabled process improvements and automation opportunities to accelerate content production cycles · Proactively identify project risks, develop mitigation strategies, and communicate status updates to senior team members and leadership with clarity and consistency A day in the life A Production Manager handles complex, high-visibility content production projects with growing autonomy. They work with guidance from senior team members on the most strategic decisions, demonstrate execution and emerging strategic thinking, and contribute to initiatives that improve quality and scalability across the IDC organization. About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. AWS Marketing leads the charge in cloud innovation, inspiring and empowering customers and partners to unlock their cloud potential. We shape AWS's industry perception through compelling narratives that demonstrate our leadership in AI and transformative solutions, while driving customer growth across our vast service portfolio. Join our forward-thinking team in an inclusive, collaborative environment where diverse perspectives and bold thinking thrive. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Basic Qualifications: - Experience managing multiple projects and priorities across teams in a fast-paced, deadline-driven environment - Knowledge of Adobe design programs including Photoshop, Illustrator, InDesign - 4+ years of experience in creative production, content production management, or program management in a marketing or agency environment - 3+ years of hands-on experience in video production, UX design, graphic design, or a related creative discipline - Proven track record managing creative deliverables for marketing campaigns ranging from $25K to $500K Preferred Qualifications: - 1+ years of B2B environment experience - Experience defining the workflow within a marketing, production, or creative department or company - Experience leading cross-functional teams to drive marketing initiatives world-wide - Understanding of digital marketing content types including eBooks, paid media, email campaigns, display ads, and video content 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 120,500.00 - 163,000.00 USD annually", "summaryDescription" : "Digital Content Production Manager, IDC Content Studio at Amazon Web Services, Inc.. Skills: Content production, Project management, Creative disciplines, Brand integrity. Serve as primary point of contact. Manage requestor expectations", "postedDate" : "2026-06-13T15:00:39.286", "createdAt" : "2026-06-13T15:00:39.286", "lastUpdated" : "2026-06-15T08:45:10.703", "ingestTimestamp" : "2026-06-13T15:00:39.286", "mongoId" : "69fe2dd44c40e2acd1ecfd42", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10415044/apply", "salaryAnnualMin" : 120000, "salaryAnnualMax" : 163000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Project timelines", "Resource allocation", "Budget tracking", "Quality assurance", "Risk mitigation", "Content production", "Project management", "Creative disciplines", "Brand integrity", "Creative production", "Program management", "Marketing campaigns", "Video production", "UX design", "Graphic design", "Copywriting", "Deliverable schedules", "Workback schedules", "Project plans", "Digital marketing content", "AWS brand standards", "Adobe Creative Suite" ], "skillCount" : 22, "jobCategory" : "marketing", "dataQualityScore" : 1.0, "_score" : 861.38794, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "68e0a7e4ce260f92cbf8eb72", "title" : "AI Content Expert II", "company" : "Amazon.com Services LLC", "industry" : "Corporate Operations, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 40400.0, "max" : 86500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, Massachusetts, USA", "locations" : [ "Boston, Massachusetts, USA" ], "timestamp" : "2026-06-15T06:27:17.421", "fingerprint" : "acc0877ef85385534cb95ccf4f561151cb5a613afe7dee5b887d920d0be86e1b", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3099795/apply", "externalId" : "fa22e74f-ac09-4958-852b-b2633ecc26b1", "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" : "Associate's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, HTML, XML, Markdown, JSON, CSV, RTF, UNIX commands, Large Language Models", "professionalSkills" : [ "Content generation", "Data analysis", "Annotation", "Data markup", "Quality checks", "Guideline review", "Tooling improvement" ], "hardSkillsList" : [ "Writing", "Reading comprehension", "Research", "Information gathering", "Topic synthesis", "Academic integrity", "STEM evaluation", "Style adaptation" ], "softSkillsList" : [ "Attention to details", "Adaptability" ], "hardSkills" : [ { "name" : "Writing", "level" : "intermediate" }, { "name" : "Reading comprehension", "level" : "intermediate" }, { "name" : "Research", "level" : "intermediate" }, { "name" : "Information gathering", "level" : "intermediate" }, { "name" : "Topic synthesis", "level" : "intermediate" }, { "name" : "Academic integrity", "level" : "intermediate" }, { "name" : "STEM evaluation", "level" : "intermediate" }, { "name" : "Style adaptation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Attention to details" }, { "name" : "Adaptability" } ], "majorSkills" : "Content generation, Data annotation, LLM training data", "majorSkillsList" : [ "Content generation", "Data annotation", "LLM training data" ], "coreResponsibilities" : "Create training data, Annotate complex training data, Write grammatically correct texts, Perform audits, Perform quality checks, Make sound judgments, Make logical decisions, Dive deep into issues, Implement solutions independently, Identify tooling bugs, Report tooling bugs, Suggest tooling improvements, Review guidelines, Update guidelines", "teamCollaboration" : "Work closely with scientists; Work closely with engineers", "domainKnowledge" : "U.S. culture; U.S. society; U.S. norms; Large Language Models", "domainList" : [ "u-s-culture", "u-s-society", "u-s-norms", "large-language-models" ], "domainSpecificKnowledge" : [ "U.S. culture", "U.S. society", "U.S. norms", "Large Language Models" ], "toolProficiency" : [ "Command line interfaces", "UNIX commands" ], "communicationSkills" : "Writing; Reading comprehension", "problemSolvingSkills" : "Problem solving", "qualificationsBasic" : "Associate's Degree or related work experience, 2+ years experience with written language data, Proficiency in English (C2 level), Understanding of U.S. culture, Research skills, Excellent attention to details, Comfortable with high-school level STEM, Ability to write and evaluate diverse subject matter, Ability to adapt writing style, Ability to adapt to fast-paced environments", "qualificationsPreferred" : "Bachelor's degree in relevant field, Experience creating complex data for LLM training, 1+ year experience with command line interfaces, Familiarity with HTML, XML, Markdown, Familiarity with JSON, CSV, RTF, Working knowledge of Python, Familiarity with regular expressions syntax, Familiarity with Large Language Models, Comfort in annotation work with sensitive content", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Your key responsibilities will include (but not limited to) the below: - Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines - Performing audits and quality checks of tasks completed by other specialists, if required - Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements Basic Qualifications: - An Associate’s Degree or related work experience. - 2+ years of experience working with written language data, including experience with annotation, and other forms of data markup. - Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale). - Strong understanding of U.S.-based culture, society, and norms. - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. - Excellent attention to details and ability to focus for a long period of time. - Comfortable with high-school level STEM - Ability to effectively write and evaluate diverse subject matter across various domains - Ability to adapt writing style to suit various style guidelines and customers. - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy. Preferred Qualifications: - Bachelor’s degree in a relevant field or equivalent professional experience. - Experience with creating complex data for LLM training and evaluation. - 1+ year(s) of experience working with command line interfaces and basic UNIX commands. - Familiarity with common markup languages such as HTML, XML, Markdown. - Familiarity with common standard text formats such as JSON, CSV, RTF. - Working knowledge of Python or another scripting language. - Familiarity with regular expressions syntax. - Familiarity with Large Language Models. - Comfort in annotation work that may include sensitive content. 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 $40,400/year in our lowest geographic market up to $86,500/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" : "AI Content Expert II at Amazon.com Services LLC. Skills: Content generation, Data annotation, LLM training data. Create training data. Annotate complex training data", "postedDate" : "2026-06-13T15:53:05.699", "createdAt" : "2026-06-13T15:53:05.699", "lastUpdated" : "2026-06-15T06:27:17.421", "ingestTimestamp" : "2026-06-13T15:53:05.699", "mongoId" : "68e0a7e4ce260f92cbf8eb72", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3099795/apply", "salaryAnnualMin" : 40400, "salaryAnnualMax" : 86500, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Writing", "Reading comprehension", "Research", "Information gathering", "Topic synthesis", "Academic integrity", "STEM evaluation", "Style adaptation", "Attention to details", "Adaptability", "Content generation", "Data annotation", "LLM training data", "Data analysis", "Annotation", "Data markup", "Quality checks", "Guideline review", "Tooling improvement", "U.S. culture", "U.S. society", "U.S. norms", "Large Language Models", "Command line interfaces", "UNIX commands" ], "skillCount" : 25, "jobCategory" : "operations", "dataQualityScore" : 1.0, "_score" : 859.0414, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "68ed10aa70f0b99d58e7ba00", "title" : "AI Content Expert II", "company" : "ADCI MAA 12 SEZ", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 1305000.0, "max" : 2175000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an AI Content Expert II in Chennai, India, adjusted for mid-seniority and the technology industry." }, "location" : "Chennai, Tamil Nadu, IND", "locations" : [ "Chennai, Tamil Nadu, IND" ], "timestamp" : "2026-06-15T04:29:59.814", "fingerprint" : "90fc03da42516284228bca6eaeaedd88aa884ef85f60bb3b9da3d4a5bc52dbc9", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3105189/apply", "externalId" : "9dd195e4-12bb-4d25-ac3f-7fabd311b1bf", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chennai", "state" : "Tamil Nadu", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "13.0836939,80.2701860" } ], "locationText" : "Chennai, Tamil Nadu, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, HTML, XML, Markdown, JSON, CSV, RTF, Regular expressions", "professionalSkills" : [ "Content generation", "Data analysis", "Annotation", "Data markup", "Guideline review", "Tooling improvement", "Quality checks", "Problem solving", "Issue identification", "Solution implementation" ], "hardSkillsList" : [ "Complex data creation", "Grammatically correct writing", "Writing styles", "Style guidelines", "Ambiguous information handling", "Dialogue evaluation" ], "softSkillsList" : [ "Individuality", "Creative mind" ], "hardSkills" : [ { "name" : "Complex data creation", "level" : "intermediate" }, { "name" : "Grammatically correct writing", "level" : "intermediate" }, { "name" : "Writing styles", "level" : "intermediate" }, { "name" : "Style guidelines", "level" : "intermediate" }, { "name" : "Ambiguous information handling", "level" : "intermediate" }, { "name" : "Dialogue evaluation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Individuality" }, { "name" : "Creative mind" } ], "majorSkills" : "Data annotation, LLM training data, Content generation", "majorSkillsList" : [ "Data annotation", "LLM training data", "Content generation" ], "coreResponsibilities" : "Create training data, Annotate complex training data, Write grammatically correct texts, Adhere to guidelines, Perform audits, Perform quality checks, Make sound judgments, Make logical decisions, Dive deep into issues, Implement solutions independently, Identify tooling bugs, Report tooling bugs, Suggest tooling improvements, Undertake foundational labeling functions, Evaluate dialogue data", "teamCollaboration" : "Working closely with scientists; Working closely with engineers; Part of a diverse team", "domainKnowledge" : "Large Language Models; Generative AI", "domainList" : [ "large-language-models", "generative-ai" ], "domainSpecificKnowledge" : [ "Large Language Models", "Generative AI" ], "communicationSkills" : "Writing; Reading; Comprehension", "innovationCreativity" : "Creative mind", "problemSolvingSkills" : "Problem solving; Logical decisions; Issue identification; Solution implementation", "specialRequirements" : "Fixed Term Contractual Role", "outcomesObjectives" : "Deliver high-quality training data; Improve LLM capabilities; Expand LLM capabilities", "qualificationsBasic" : "Bachelor’s degree or equivalent professional experience, 2+ yrs experience with written language data, Annotation experience, Data markup experience, Research skills, Academic integrity understanding, Excellent attention to details, Ability to focus for long periods, Ability to write and evaluate diverse subjects, Ability to adapt writing style, Ability to adapt to fast-paced environments", "qualificationsPreferred" : "Proficiency in English (C1 level), Experience creating complex data for LLM training, Experience evaluating LLM data, Understanding of U.S. culture, society, and norms, Comfort with high-school level STEM, Familiarity with HTML, Familiarity with XML, Familiarity with Markdown, Familiarity with JSON, Familiarity with CSV, Familiarity with RTF, Working knowledge of Python, Working knowledge of scripting language, Familiarity with regular expressions syntax, Familiarity with Large Language Models, Comfort with sensitive content annotation", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. Note: This is a Fixed Term Contractual Role Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. - Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines - Performing audits and quality checks of tasks completed by other specialists, if required - Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements 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: - Bachelor’s degree in a relevant field or equivalent professional experience - 2+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup. - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. - Excellent attention to details and ability to focus for a long period of time - Ability to effectively write and evaluate diverse subject matter across various domains* - Ability to adapt writing style to suit various style guidelines and customers. - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications: - Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). - Experience with creating complex data for LLM training and evaluation - Strong understanding of U.S.-based culture, society, and norms. - Comfortable with high-school level STEM* - Familiarity with common markup languages such as HTML, XML, Markdown - Familiarity with common standard text formats such as JSON, CSV, RTF - Working knowledge of Python or another scripting language - Familiarity with regular expressions syntax - Familiarity with Large Language Models - Comfort in annotation work that may include sensitive content 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 Content Expert II at ADCI MAA 12 SEZ. Skills: Data annotation, LLM training data, Content generation. Create training data. 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As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. Note: This is a Fixed Term Contractual Role Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. - Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines - Performing audits and quality checks of tasks completed by other specialists, if required - Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements 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: - Bachelor’s degree in a relevant field or equivalent professional experience - 2+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup. - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. - Excellent attention to details and ability to focus for a long period of time - Ability to effectively write and evaluate diverse subject matter across various domains* - Ability to adapt writing style to suit various style guidelines and customers. - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications: - Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). - Experience with creating complex data for LLM training and evaluation - Strong understanding of U.S.-based culture, society, and norms. - Comfortable with high-school level STEM* - Familiarity with common markup languages such as HTML, XML, Markdown - Familiarity with common standard text formats such as JSON, CSV, RTF - Working knowledge of Python or another scripting language - Familiarity with regular expressions syntax - Familiarity with Large Language Models - Comfort in annotation work that may include sensitive content 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 Content Expert II at ADCI MAA 12 SEZ. Skills: Content generation, Data annotation, LLM training data. Create training data. 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As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. Note: This is a Fixed Contractual Role Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. - Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines - Performing audits and quality checks of tasks completed by other specialists, if required - Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements 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: - Bachelor’s degree in a relevant field or equivalent professional experience - 2+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup. - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. - Excellent attention to details and ability to focus for a long period of time - Ability to effectively write and evaluate diverse subject matter across various domains* - Ability to adapt writing style to suit various style guidelines and customers. - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications: - Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). - Experience with creating complex data for LLM training and evaluation - Strong understanding of U.S.-based culture, society, and norms. - Comfortable with high-school level STEM* - Familiarity with common markup languages such as HTML, XML, Markdown - Familiarity with common standard text formats such as JSON, CSV, RTF - Working knowledge of Python or another scripting language - Familiarity with regular expressions syntax - Familiarity with Large Language Models - Comfort in annotation work that may include sensitive content 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 Content Expert II at ADCI MAA 12 SEZ. Skills: LLM training data, Data annotation, Content generation. Create training data. Annotate complex training data", "postedDate" : "2026-06-13T19:43:42.870", "createdAt" : "2026-06-13T19:43:42.870", "lastUpdated" : "2026-06-15T05:18:22.597", "ingestTimestamp" : "2026-06-13T19:43:42.870", "mongoId" : "68ed10aa70f0b99d58e7b9fd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3105208/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data annotation", "Text generation", "Quality assurance", "LLM training data", "Content generation", "Data analysis", "Quality checks", "Tooling improvements", "Large Language Models", "Generative AI" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 851.79346, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e425f8b1b0376634c636", "title" : "AI Content Expert II", "company" : "ADCI HYD 16 SEZ - H83", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 1300000.0, "max" : 1950000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for AI Content Expert II in Hyderabad, India, adjusted for mid-seniority and full-time employment in the technology industry." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T05:21:35.139", "fingerprint" : "b4dfb372322465c3ede126986efd403888d1eddec6ab64e4d6339fd90325b2b8", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3077497/apply", "externalId" : "7f0ead64-dfbd-4e9d-a64d-bd85f817644d", "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" : "Bachelor's", "experienceMinYears" : 2, "technicalSkills" : "Python, HTML, XML, Markdown, JSON, CSV, RTF, UNIX, LLMs", "professionalSkills" : [ "Content generation", "Data analysis", "Annotation", "Quality checks", "Judgement decisions", "Problem solving" ], "hardSkillsList" : [ "Data annotation", "Text writing", "Quality assurance", "Information synthesis" ], "hardSkills" : [ { "name" : "Data annotation", "level" : "intermediate" }, { "name" : "Text writing", "level" : "intermediate" }, { "name" : "Quality assurance", "level" : "intermediate" }, { "name" : "Information synthesis", "level" : "intermediate" } ], "majorSkills" : "Data annotation, LLM training data, Content generation", "majorSkillsList" : [ "Data annotation", "LLM training data", "Content generation" ], "coreResponsibilities" : "Create training data, Annotate training data, Write grammatically correct texts, Perform audits, Perform quality checks, Make sound judgments, Make logical decisions, Dive deep into issues, Implement solutions, Identify tooling bugs, Report tooling bugs, Suggest tooling improvements", "teamCollaboration" : "Work with scientists; Work with engineers", "domainKnowledge" : "Large Language Models; Generative AI", "domainList" : [ "large-language-models", "generative-ai" ], "domainSpecificKnowledge" : [ "Large Language Models", "Generative AI" ], "innovationCreativity" : "Creative mind", "problemSolvingSkills" : "Problem solving", "qualificationsBasic" : "Bachelor's degree, 2+ years experience with written language data, Understanding of U.S. culture, Research skills, Basic academic integrity understanding, Excellent attention to details, Ability to focus, Comfortable with STEM, Ability to write and evaluate subject matter, Ability to adapt writing style, Ability to adapt to fast-paced environments", "qualificationsPreferred" : "Proficiency in English (C1 CEFR), Experience creating data for LLM training, 1+ year(s) command line experience, Familiarity with HTML, XML, Markdown, Familiarity with JSON, CSV, RTF, Working knowledge of Python, Familiarity with regular expressions, Familiarity with Large Language Models, Comfort in annotation work with sensitive content", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. - Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines - Performing audits and quality checks of tasks completed by other specialists, if required - Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements 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: - Bachelor’s degree in a relevant field or equivalent professional experience - 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. - Strong understanding of U.S.-based culture, society, and norms. - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. - Excellent attention to details and ability to focus for a long period of time - Comfortable with high-school level STEM* - Ability to effectively write and evaluate diverse subject matter across various domains* - Ability to adapt writing style to suit various style guidelines and customers. - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications: - Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). - Experience with creating complex data for LLM training and evaluation - 1+ year(s) of experience working with command line interfaces and basic UNIX commands - Familiarity with common markup languages such as HTML, XML, Markdown - Familiarity with common standard text formats such as JSON, CSV, RTF - Working knowledge of Python or another scripting language - Familiarity with regular expressions syntax - Familiarity with Large Language Models - Comfort in annotation work that may include sensitive content 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 Content Expert II at ADCI HYD 16 SEZ - H83. Skills: Data annotation, LLM training data, Content generation. Create training data. Annotate training data", "postedDate" : "2026-06-13T19:35:33.178", "createdAt" : "2026-06-13T19:35:33.178", "lastUpdated" : "2026-06-15T05:21:35.139", "ingestTimestamp" : "2026-06-13T19:35:33.178", "mongoId" : "68c2e425f8b1b0376634c636", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3077497/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data annotation", "Text writing", "Quality assurance", "Information synthesis", "LLM training data", "Content generation", "Data analysis", "Annotation", "Quality checks", "Judgement decisions", "Problem solving", "Large Language Models", "Generative AI" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 851.6407, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e425f8b1b0376634c631", "title" : "AI Content Expert II", "company" : "ADCI HYD 16 SEZ - H83", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for AI Content Expert II in Hyderabad, India, adjusted for mid-seniority and technology industry." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T06:19:31.891", "fingerprint" : "9132497ca69d9da7bb6c09c2f7e10b7f6bc89643922b1eaf4b340c0b9bb1e707", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3077495/apply", "externalId" : "40a5ddac-cdb6-470b-9562-b16be89e9c75", "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" : "Bachelor's", "experienceMinYears" : 2, "technicalSkills" : "Python, UNIX commands, HTML, XML, Markdown, JSON, CSV, RTF, Regular expressions", "professionalSkills" : [ "Content generation", "Data analysis", "Annotation", "Quality checks", "Judgement decisions", "Problem implementation" ], "hardSkillsList" : [ "Text annotation", "Data markup", "Dialogue evaluation", "Speech data annotation", "Text data annotation", "Audio data annotation", "Video data annotation" ], "hardSkills" : [ { "name" : "Text annotation", "level" : "intermediate" }, { "name" : "Data markup", "level" : "intermediate" }, { "name" : "Dialogue evaluation", "level" : "intermediate" }, { "name" : "Speech data annotation", "level" : "intermediate" }, { "name" : "Text data annotation", "level" : "intermediate" }, { "name" : "Audio data annotation", "level" : "intermediate" }, { "name" : "Video data annotation", "level" : "intermediate" } ], "majorSkills" : "Large Language Models, Data annotation, Content generation", "majorSkillsList" : [ "Large Language Models", "Data annotation", "Content generation" ], "coreResponsibilities" : "Create training data, Annotate complex training data, Write grammatically correct texts, Perform audits and quality checks, Make sound judgments, Implement solutions independently, Identify and report tooling bugs, Suggest tooling improvements, Undertake foundational labeling functions", "teamCollaboration" : "Working closely with scientists; Working closely with engineers", "domainKnowledge" : "Generative AI; LLM capabilities", "domainList" : [ "generative-ai", "llm-capabilities" ], "domainSpecificKnowledge" : [ "Generative AI", "LLM capabilities" ], "innovationCreativity" : "Creative mind", "problemSolvingSkills" : "Diving deep into issues", "specialRequirements" : "Fixed term contract (12 months), Maintain strict confidentiality, Follow Amazon policies", "outcomesObjectives" : "Deliver high-quality training data; Improve LLM capabilities", "qualificationsBasic" : "Bachelor's degree or equivalent experience, 2+ years experience with written language data, Understanding of U.S. culture and norms, Research skills, Basic academic integrity understanding, Excellent attention to details, Ability to focus for long periods, Comfortable with high-school level STEM, Ability to write and evaluate diverse subject matter, Ability to adapt writing style, Ability to adapt to fast-paced environments", "qualificationsPreferred" : "English proficiency (C1 CEFR), Experience creating complex data for LLM training, 1+ year experience with command line interfaces, Familiarity with HTML, XML, Markdown, Familiarity with JSON, CSV, RTF, Working knowledge of Python or scripting language, Familiarity with regular expressions syntax, Familiarity with Large Language Models, Comfort in annotation work with sensitive content", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. - Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines - Performing audits and quality checks of tasks completed by other specialists, if required - Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements 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: - Bachelor’s degree in a relevant field or equivalent professional experience - 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. - Strong understanding of U.S.-based culture, society, and norms. - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. - Excellent attention to details and ability to focus for a long period of time - Comfortable with high-school level STEM* - Ability to effectively write and evaluate diverse subject matter across various domains* - Ability to adapt writing style to suit various style guidelines and customers. - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications: - Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). - Experience with creating complex data for LLM training and evaluation - 1+ year(s) of experience working with command line interfaces and basic UNIX commands - Familiarity with common markup languages such as HTML, XML, Markdown - Familiarity with common standard text formats such as JSON, CSV, RTF - Working knowledge of Python or another scripting language - Familiarity with regular expressions syntax - Familiarity with Large Language Models - Comfort in annotation work that may include sensitive content 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 Content Expert II at ADCI HYD 16 SEZ - H83. Skills: Large Language Models, Data annotation, Content generation. Create training data. Annotate complex training data", "postedDate" : "2026-06-13T19:14:28.730", "createdAt" : "2026-06-13T19:14:28.730", "lastUpdated" : "2026-06-15T06:19:31.891", "ingestTimestamp" : "2026-06-13T19:14:28.730", "mongoId" : "68c2e425f8b1b0376634c631", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3077495/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Text annotation", "Data markup", "Dialogue evaluation", "Speech data annotation", "Text data annotation", "Audio data annotation", "Video data annotation", "Large Language Models", "Data annotation", "Content generation", "Data analysis", "Annotation", "Quality checks", "Judgement decisions", "Problem implementation", "Generative AI", "LLM capabilities" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 850.47437, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "68e0a7e3ce260f92cbf8eaed", "title" : "AI Content Expert II", "company" : "ADCI MAA 12 SEZ", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 1450000.0, "max" : 2200000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an AI Content Expert II in Chennai, India, adjusted for mid-seniority and the technology industry." }, "location" : "Chennai, Tamil Nadu, IND", "locations" : [ "Chennai, Tamil Nadu, IND" ], "timestamp" : "2026-06-15T03:15:18.665", "fingerprint" : "3e1887a505021226ef98e66cedf042ec908e862a5deb078aa4833064e0630808", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3100125/apply", "externalId" : "9eb764ec-8b52-4469-9a50-cc7f550d5795", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chennai", "state" : "Tamil Nadu", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "13.0836939,80.2701860" } ], "locationText" : "Chennai, Tamil Nadu, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, HTML, XML, Markdown, JSON, CSV, RTF, Regular expressions", "professionalSkills" : [ "Content generation", "Data analysis", "Annotation", "Data markup", "Dialogue evaluation", "Speech data evaluation", "Text data evaluation", "Audio data evaluation", "Video data evaluation" ], "hardSkillsList" : [ "Audits", "Quality checks", "Sound judgments", "Logical decisions", "Issue identification", "Solution implementation" ], "softSkillsList" : [ "Individuality", "Creative mind" ], "hardSkills" : [ { "name" : "Audits", "level" : "intermediate" }, { "name" : "Quality checks", "level" : "intermediate" }, { "name" : "Sound judgments", "level" : "intermediate" }, { "name" : "Logical decisions", "level" : "intermediate" }, { "name" : "Issue identification", "level" : "intermediate" }, { "name" : "Solution implementation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Individuality" }, { "name" : "Creative mind" } ], "majorSkills" : "LLM training data, Content annotation, Data quality", "majorSkillsList" : [ "LLM training data", "Content annotation", "Data quality" ], "coreResponsibilities" : "Create training data, Annotate complex training data, Write grammatically correct texts, Adhere to guidelines, Perform audits, Perform quality checks, Make sound judgments, Make logical decisions, Dive deep into issues, Implement solutions independently, Identify tooling bugs, Report tooling bugs, Suggest tooling improvements, Undertake foundational labeling functions, Evaluate dialogue data, Evaluate speech data, Evaluate audio data, Evaluate video data", "teamCollaboration" : "Working closely with scientists; Working closely with engineers; Part of a diverse team", "domainKnowledge" : "Large Language Models; Generative AI", "domainList" : [ "large-language-models", "generative-ai" ], "domainSpecificKnowledge" : [ "Large Language Models", "Generative AI" ], "communicationSkills" : "Writing; Reading; Comprehension", "innovationCreativity" : "Creative mind", "problemSolvingSkills" : "Issue identification; Solution implementation", "specialRequirements" : "Fixed Term Contractual Role, Strict confidentiality", "outcomesObjectives" : "Deliver high-quality training data; Improve LLM capabilities; Expand LLM capabilities", "qualificationsBasic" : "Bachelor’s degree or equivalent professional experience, 2+ yrs experience with written language data, Annotation experience, Data markup experience, Research skills, Academic integrity understanding, Excellent attention to details, Ability to focus for long periods, Ability to write and evaluate diverse subject matter, Ability to adapt writing style, Ability to adapt to fast-paced environments", "qualificationsPreferred" : "Proficiency in English (C1 level), Experience creating complex data for LLM training, Experience evaluating LLM data, Understanding of U.S. culture, society, and norms, Comfort with high-school level STEM, Familiarity with HTML, Familiarity with XML, Familiarity with Markdown, Familiarity with JSON, Familiarity with CSV, Familiarity with RTF, Working knowledge of Python, Working knowledge of scripting language, Familiarity with regular expressions syntax, Familiarity with Large Language Models, Comfort in annotation work with sensitive content", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. Note: This is a Fixed Term Contractual Role Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. - Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines - Performing audits and quality checks of tasks completed by other specialists, if required - Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements 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: - Bachelor’s degree in a relevant field or equivalent professional experience - 2+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup. - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. - Excellent attention to details and ability to focus for a long period of time - Ability to effectively write and evaluate diverse subject matter across various domains* - Ability to adapt writing style to suit various style guidelines and customers. - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications: - Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). - Experience with creating complex data for LLM training and evaluation - Strong understanding of U.S.-based culture, society, and norms. - Comfortable with high-school level STEM* - Familiarity with common markup languages such as HTML, XML, Markdown - Familiarity with common standard text formats such as JSON, CSV, RTF - Working knowledge of Python or another scripting language - Familiarity with regular expressions syntax - Familiarity with Large Language Models - Comfort in annotation work that may include sensitive content 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 Content Expert II at ADCI MAA 12 SEZ. Skills: LLM training data, Content annotation, Data quality. Create training data. Annotate complex training data", "postedDate" : "2026-06-13T09:57:05.808", "createdAt" : "2026-06-13T09:57:05.808", "lastUpdated" : "2026-06-15T03:15:18.665", "ingestTimestamp" : "2026-06-13T09:57:05.808", "mongoId" : "68e0a7e3ce260f92cbf8eaed", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3100125/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Audits", "Quality checks", "Sound judgments", "Logical decisions", "Issue identification", "Solution implementation", "Individuality", "Creative mind", "LLM training data", "Content annotation", "Data quality", "Content generation", "Data analysis", "Annotation", "Data markup", "Dialogue evaluation", "Speech data evaluation", "Text data evaluation", "Audio data evaluation", "Video data evaluation", "Large Language Models", "Generative AI" ], "skillCount" : 22, "jobCategory" : "operations", "dataQualityScore" : 1.0, "_score" : 850.26953, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "68c2e425f8b1b0376634c62d", "title" : "AI Content Expert II", "company" : "ADCI MAA 12 SEZ", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for AI Content Expert II in Chennai, India, adjusted for mid-seniority and technology industry." }, "location" : "Chennai, Tamil Nadu, IND", "locations" : [ "Chennai, Tamil Nadu, IND" ], "timestamp" : "2026-06-15T02:06:47.234", "fingerprint" : "6bcba6cd013809af68dab70be6da9b48b821ff490c356dc3b0c454df39d79c71", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3077492/apply", "externalId" : "fc5505a7-9f80-4cb5-82b2-adea77a546f9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chennai", "state" : "Tamil Nadu", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "13.0836939,80.2701860" } ], "locationText" : "Chennai, Tamil Nadu, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "technicalSkills" : "Python, LLM", "professionalSkills" : [ "Content generation", "Data analysis", "Dialogue evaluation" ], "hardSkillsList" : [ "Annotation", "Data markup", "Text writing", "Quality checks", "Logical decisions", "Issue identification", "Bug reporting" ], "softSkillsList" : [ "Concentration", "Multi-tasking", "Individuality", "Creativity" ], "hardSkills" : [ { "name" : "Annotation", "level" : "intermediate" }, { "name" : "Data markup", "level" : "intermediate" }, { "name" : "Text writing", "level" : "intermediate" }, { "name" : "Quality checks", "level" : "intermediate" }, { "name" : "Logical decisions", "level" : "intermediate" }, { "name" : "Issue identification", "level" : "intermediate" }, { "name" : "Bug reporting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Concentration" }, { "name" : "Multi-tasking" }, { "name" : "Individuality" }, { "name" : "Creativity" } ], "majorSkills" : "Data annotation, LLM training data, Content generation", "majorSkillsList" : [ "Data annotation", "LLM training data", "Content generation" ], "coreResponsibilities" : "Create training data, Review guidelines, Update guidelines, Identify tooling improvement opportunities, Engage in conversations regarding data quality, Create complex training data, Annotate training data, Write grammatically correct texts, Perform audits, Perform quality checks, Make sound judgments, Make logical decisions, Dive deep into issues, Implement solutions independently, Identify tooling bugs, Report tooling bugs, Suggest tooling improvements, Undertake foundational labeling functions, Evaluate dialogue data", "teamCollaboration" : "Working closely with scientists; Working closely with engineers; Part of a diverse team", "domainKnowledge" : "Large Language Models; Generative AI", "domainList" : [ "large-language-models", "generative-ai" ], "domainSpecificKnowledge" : [ "Large Language Models", "Generative AI" ], "communicationSkills" : "Writing; Reading; Comprehension", "innovationCreativity" : "Creative mind", "problemSolvingSkills" : "Issue identification; Implement solutions", "specialRequirements" : "Fixed Term Contractual Role, Strict confidentiality", "qualificationsBasic" : "2+ yrs experience with written language data, Annotation experience, Data markup experience, Research skills, Understand academic integrity, Plagiarism understanding, Excellent attention to details, Ability to focus for long periods, Effectively write and evaluate diverse subject matter, Adapt writing style to guidelines, Adapt to fast-paced environments", "qualificationsPreferred" : "Proficiency in English (C1 CEFR), Experience creating complex data for LLM training, Experience evaluating LLM data, Understanding of U.S. culture, Comfort with high-school level STEM, Familiarity with HTML, Familiarity with XML, Familiarity with Markdown, Familiarity with JSON, Familiarity with CSV, Familiarity with RTF, Working knowledge of Python, Working knowledge of scripting language, Familiarity with regular expressions syntax, Familiarity with Large Language Models, Comfort with sensitive content annotation", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. Note: This is a Fixed Term Contractual Role Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. - Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines - Performing audits and quality checks of tasks completed by other specialists, if required - Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements 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: - Bachelor’s degree in a relevant field or equivalent professional experience - 2+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup. - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. - Excellent attention to details and ability to focus for a long period of time - Ability to effectively write and evaluate diverse subject matter across various domains* - Ability to adapt writing style to suit various style guidelines and customers. - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications: - Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). - Experience with creating complex data for LLM training and evaluation - Strong understanding of U.S.-based culture, society, and norms. - Comfortable with high-school level STEM* - Familiarity with common markup languages such as HTML, XML, Markdown - Familiarity with common standard text formats such as JSON, CSV, RTF - Working knowledge of Python or another scripting language - Familiarity with regular expressions syntax - Familiarity with Large Language Models - Comfort in annotation work that may include sensitive content 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 Content Expert II at ADCI MAA 12 SEZ. Skills: Data annotation, LLM training data, Content generation. Create training data. Review guidelines", "postedDate" : "2026-06-13T16:00:23.668", "createdAt" : "2026-06-13T16:00:23.668", "lastUpdated" : "2026-06-15T02:06:47.234", "ingestTimestamp" : "2026-06-13T16:00:23.668", "mongoId" : "68c2e425f8b1b0376634c62d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3077492/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Annotation", "Data markup", "Text writing", "Quality checks", "Logical decisions", "Issue identification", "Bug reporting", "Concentration", "Multi-tasking", "Individuality", "Creativity", "Data annotation", "LLM training data", "Content generation", "Data analysis", "Dialogue evaluation", "Large Language Models", "Generative AI" ], "skillCount" : 18, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "_score" : 848.98114, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "68ed10a470f0b99d58e7b523", "title" : "AI Content Expert II", "company" : "ADCI HYD 16 SEZ - H83", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for AI Content Expert II in Hyderabad, India, adjusted for mid-seniority and full-time employment in the technology industry." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T05:37:29.446", "fingerprint" : "c075cbd2f35952c7ad6bb0c928e66c09fc635be7e8acd74de14171a88708d4cc", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3105152/apply", "externalId" : "393a45f7-222b-41a8-b329-e87d5c91ba0b", "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" : "Bachelor's", "experienceMinYears" : 2, "technicalSkills" : "Python, HTML, XML, Markdown, JSON, CSV, RTF, Regular expressions", "professionalSkills" : [ "Content generation", "Data analysis", "Annotation", "Quality checks", "Guideline review", "Tooling improvement" ], "hardSkillsList" : [ "Written language data", "Data markup", "Complex topics synthesis", "Academic integrity", "Subject matter evaluation", "Style adaptation" ], "softSkillsList" : [ "Individuality", "Creative mind" ], "hardSkills" : [ { "name" : "Written language data", "level" : "intermediate" }, { "name" : "Data markup", "level" : "intermediate" }, { "name" : "Complex topics synthesis", "level" : "intermediate" }, { "name" : "Academic integrity", "level" : "intermediate" }, { "name" : "Subject matter evaluation", "level" : "intermediate" }, { "name" : "Style adaptation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Individuality" }, { "name" : "Creative mind" } ], "majorSkills" : "Content generation, Data annotation, LLM training data", "majorSkillsList" : [ "Content generation", "Data annotation", "LLM training data" ], "coreResponsibilities" : "Create training data, Annotate training data, Write grammatically correct texts, Perform audits, Perform quality checks, Make sound judgments, Make logical decisions, Dive deep into issues, Implement solutions independently, Identify tooling bugs, Report tooling bugs, Suggest tooling improvements, Undertake foundational labeling functions, Evaluate dialogue data", "teamCollaboration" : "Working closely with scientists; Working closely with engineers; Part of a diverse team", "domainKnowledge" : "Large Language Models; Generative AI", "domainList" : [ "large-language-models", "generative-ai" ], "domainSpecificKnowledge" : [ "Large Language Models", "Generative AI" ], "communicationSkills" : "Writing; Reading; Comprehension", "innovationCreativity" : "Creative mind", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "Fixed term contract (12 months)", "qualificationsBasic" : "Bachelor's degree or equivalent professional experience, 2+ year of experience with written language data, Experience with annotation, Experience with data markup, Research skills, Excellent attention to details, Ability to focus for long periods, Ability to effectively write and evaluate diverse subject matter, Ability to adapt writing style, Ability to adapt to fast-paced environments", "qualificationsPreferred" : "Proficiency in English (C1 level), Experience creating complex data for LLM training, Experience creating complex data for LLM evaluation, Understanding of U.S.-based culture, Comfort with high-school level STEM, Familiarity with HTML, Familiarity with XML, Familiarity with Markdown, Familiarity with JSON, Familiarity with CSV, Familiarity with RTF, Working knowledge of Python, Working knowledge of another scripting language, Familiarity with regular expressions syntax, Familiarity with Large Language Models, Comfort in annotation work with sensitive content", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. - Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines - Performing audits and quality checks of tasks completed by other specialists, if required - Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements 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: - Bachelor’s degree in a relevant field or equivalent professional experience - 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. - Excellent attention to details and ability to focus for a long period of time - Ability to effectively write and evaluate diverse subject matter across various domains* - Ability to adapt writing style to suit various style guidelines and customers. - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications: - Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). - Experience with creating complex data for LLM training and evaluation - Strong understanding of U.S.-based culture, society, and norms. - Comfortable with high-school level STEM* - Familiarity with common markup languages such as HTML, XML, Markdown - Familiarity with common standard text formats such as JSON, CSV, RTF - Working knowledge of Python or another scripting language - Familiarity with regular expressions syntax - Familiarity with Large Language Models - Comfort in annotation work that may include sensitive content 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 Content Expert II at ADCI HYD 16 SEZ - H83. Skills: Content generation, Data annotation, LLM training data. Create training data. Annotate training data", "postedDate" : "2026-06-13T15:59:30.431", "createdAt" : "2026-06-13T15:59:30.431", "lastUpdated" : "2026-06-15T05:37:29.446", "ingestTimestamp" : "2026-06-13T15:59:30.431", "mongoId" : "68ed10a470f0b99d58e7b523", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3105152/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Written language data", "Data markup", "Complex topics synthesis", "Academic integrity", "Subject matter evaluation", "Style adaptation", "Individuality", "Creative mind", "Content generation", "Data annotation", "LLM training data", "Data analysis", "Annotation", "Quality checks", "Guideline review", "Tooling improvement", "Large Language Models", "Generative AI" ], "skillCount" : 18, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "_score" : 847.37274, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a5c6b74d8ee00a061439e", "title" : "Content Marketing Manager - Product", "company" : "Duetto Research", "industry" : "SaaS", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Content Marketing Manager in the SaaS industry in Spain, adjusted for a remote-first, global company." }, "location" : "Spain ", "locations" : [ "Spain", "United Kingdom", "United States" ], "timestamp" : "2026-06-14T21:34:41.605", "fingerprint" : "d941ef9c5760ad7e6517c328a39cb953ba19451828378d997a594ca39902028a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/duettoresearch/jobs/7982780", "externalId" : "7982780", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Spain", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Spain", "experienceLevel" : "Manager", "professionalSkills" : [ "Product storytelling", "Content creation", "Content production", "AI content operations" ], "hardSkillsList" : [ "Press release writing", "Product launch communication", "Content adaptation", "Content optimization" ], "softSkillsList" : [ "Creative judgment", "Curiosity" ], "hardSkills" : [ { "name" : "Press release writing", "level" : "intermediate" }, { "name" : "Product launch communication", "level" : "intermediate" }, { "name" : "Content adaptation", "level" : "intermediate" }, { "name" : "Content optimization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Creative judgment" }, { "name" : "Curiosity" } ], "majorSkills" : "Product content, Social-first content, Video production, AI content", "majorSkillsList" : [ "Product content", "Social-first content", "Video production", "AI content" ], "coreResponsibilities" : "Own product-focused content creation, Craft narratives around product news, Write press releases, Produce product launch communications, Produce update announcements, Attend product team meetings, Maintain pulse on development, Develop social-first content, Develop creative formats, Develop content series, Experiment with format, Experiment with style, Experiment with angle, Brief video agencies, Direct creative resources, Own end-to-end production process, Leverage AI content operations, Use AI to generate content, Use AI to iterate content, Use AI to adapt content, Identify UGC opportunities, Activate customers as creators, Build UGC programmes, Adapt content for surfaces, Optimize content for surfaces, Integrate product stories into campaigns, Integrate product stories into calendars, Maintain cadence of product content", "teamCollaboration" : "Product teams; Product Marketing Director; Customer marketing function; Content teams; Growth teams", "projectManagementSkills" : [ "Roadmap updates", "Feature releases", "Product milestones" ], "domainKnowledge" : "Hospitality industry; Revenue operating system", "domainList" : [ "hospitality-industry", "revenue-operating-system" ], "domainSpecificKnowledge" : [ "Hospitality industry", "Revenue operating system" ], "communicationSkills" : "Product storytelling", "innovationCreativity" : "Creative range; Creative formats; Creative content; Creative judgment; Creative instinct; Creative executor", "outcomesObjectives" : "Consistent high-quality product content; Product releases drive engagement; Build library of video content; Build library of short-form content; Build UGC programme; Customers contribute voices", "qualificationsBasic" : "3–5 years content marketing experience, 3–5 years product marketing experience, 3–5 years brand content experience, Portfolio showing creative range, Experience creating product-focused content, Experience briefing creative resources, Experience managing creative resources, Experience briefing video production, Experience managing video production", "qualificationsPreferred" : "B2B SaaS background preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Content Marketing Manager — Product Duetto | Remote-first, global | Reports to VP, Growth Marketing About the role We have a clear product story, a strong roadmap, and great leadership around our product narrative. What we need now is someone to bring it to life — every single day. This is a pure execution role for a creative content professional who lives and breathes product storytelling. You will be embedded in everything happening across our product teams, translating roadmap updates, feature releases, and product milestones into compelling content that shows up brilliantly across every channel and surface — social, in-app, customer newsletters, press, video, and beyond. This isn’t a strategy role. We’re not looking for someone to build frameworks or hypothesise about positioning. We have that covered. We need someone who can take a great brief and turn it into content that makes people stop scrolling, lean in, and want to know more. If you’re a creative executor who thinks in stories, leads with social-first instincts, and gets genuinely excited about finding unexpected ways to communicate a product update — this is your role. What you’ll work on Product content and storytelling Own the creation of all product-focused marketing content — feature releases, product updates, roadmap moments, and milestone announcements Craft compelling narratives around product news that go beyond feature lists — finding the customer angle, the business impact, and the story worth telling Write and produce press releases, product launch communications, and update announcements in close collaboration with the Product Marketing Director and product teams Attend product team meetings and maintain a close pulse on everything in development — so nothing lands as a surprise and every release has a content plan behind it Social-first content Think social-first on every piece of product content — asking not just “what are we saying” but “how does this look on LinkedIn, how does this work as a Reel, what’s the hook” Develop creative formats and content series that make product features feel exciting and relevant rather than functional and dry Experiment continuously with format, style, and angle — short-form video, carousels, text posts, behind-the-scenes, customer spotlights — finding what resonates and doing more of it Video and creative production Brief and direct video agencies and creative resources to bring your ideas to life — you don’t need to produce everything yourself, but you need to know exactly what you want and be able to brief it precisely Think beyond the standard UI screenshot walkthrough — find the story, the emotion, the moment that makes someone want to share it Think about differentiation in everything you make — we have a bold, distinctive brand and product content should reflect that. This isn’t about just doing what every other B2B SaaS company does with feature walkthroughs and talking-head videos. It’s about translating our unique brand identity into product stories told in a way that nobody else in our space would think to tell them Own the end-to-end production process for product content: concept, brief, production, review, publish AI-first content operations Leverage Duetto’s AI-enabled content operations layer to produce product content at pace and scale — using the tools we’ve built to move faster without compromising quality Use AI to generate, iterate, and adapt content across formats and surfaces — treating it as a creative accelerator, not a shortcut Bring an AI-native mindset to everything you produce — always asking how automation, agentic workflows, and smart tooling can raise the ceiling on what one person can create User-generated content Identify opportunities to activate customers as content creators — building programmes and moments that encourage authentic customer stories about the product Work with the customer marketing function to surface and amplify UGC across relevant channels Help build a library of customer voices and product proof points that the whole marketing team can draw from Channel and surface coverage Ensure product content is adapted and optimised for every relevant surface — social, in-app, customer newsletters, website, sales enablement, partner comms Work closely with the broader content and growth teams to ensure product stories are integrated into campaigns and always-on content calendars Maintain a regular cadence of product content so there are no quiet periods — our product moves fast and our content should reflect that What we’re looking for Experience 3–5 years in a content marketing, product marketing, or brand content role — with a portfolio that shows genuine creative range Demonstrable experience creating product-focused content that goes beyond the obvious — formats, angles, and executions that stand out Experience briefing and managing external creative and video production resources Background in B2B SaaS preferred, but creative instinct and execution quality matter more than sector experience Skills and capabilities Outstanding writer and storyteller — able to take complex product information and make it feel simple, relevant, and compelling Social-first thinker — you instinctively consider platform, format, and hook before you consider anything else Strong creative judgment — you know what good looks like, you can brief it clearly, and you can push back when the output isn’t there yet Highly organised and self-directed — you’ll be managing multiple product moments simultaneously and need to stay on top of timelines without being chased Comfortable working directly with product teams — asking the right questions, extracting the right information, and translating it into content without needing it handed to you on a plate How you operate You get how to attach product content to revenue You’re a maker — your output is content, not decks You move fast and ship things — done and excellent beats perfect and late You have genuine curiosity about the product and the industry — you want to understand what you’re creating content about, not just ship without domain knowledge You’re comfortable with ambiguity and change — product roadmaps shift, priorities move, and you adapt without losing momentum You embrace AI as part of how you work — using it to move faster, not as a replacement for creative thinking What success looks like in year one A consistent, high-quality cadence of product content across all key channels and surfaces Product releases land with creative, social-first content that drives genuine engagement — not just impressions A library of video and short-form content that gives the sales, customer success, and partner teams compelling product proof points to use An early-stage UGC programme with real customer voices contributing to the content mix You are the go-to person for anything product content related — trusted by the product marketing director , the product teams, and the wider marketing function About Duetto Duetto is the Revenue and Profit Operating System for the global hospitality industry — a PE-backed SaaS business with customers across hotels, casinos, and hospitality groups worldwide. We’re building a marketing function that matches our ambition: world-class, commercially driven, and genuinely category-defining. #LI-REMOTE", "summaryDescription" : "Content Marketing Manager - Product at Duetto Research. Skills: Product content, Social-first content, Video production, AI content. Own product-focused content creation. Craft narratives around product news", "postedDate" : "2026-06-11T22:14:31.996", "createdAt" : "2026-06-11T22:14:31.996", "lastUpdated" : "2026-06-14T21:34:41.605", "ingestTimestamp" : "2026-06-11T22:14:31.996", "mongoId" : "6a2a5c6b74d8ee00a061439e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Press release writing", "Product launch communication", "Content adaptation", "Content optimization", "Creative judgment", "Curiosity", "Product content", "Social-first content", "Video production", "AI content", "Product storytelling", "Content creation", "Content production", "AI content operations", "Roadmap updates", "Feature releases", "Product milestones", "Hospitality industry", "Revenue operating system" ], "skillCount" : 19, "jobCategory" : "marketing", "jobSubcategory" : "marketing", "dataQualityScore" : 0.8888889, "_score" : 846.03955, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS" }, { "id" : "68c2e425f8b1b0376634c630", "title" : "AI Content Expert II", "company" : "ADCI HYD 16 SEZ - H83", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for AI Content Expert II in Hyderabad, India, adjusted for mid-seniority and full-time employment in the technology industry." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T02:08:52.500", "fingerprint" : "dd0805a296f269400faf6cad983154cf57e21c56363fc4ac03ef1f650e190ad0", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3077506/apply", "externalId" : "da22f1cc-1f7d-4ea7-8847-f1b7cfc194ab", "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" : "Bachelor's", "experienceMinYears" : 2, "technicalSkills" : "Python, HTML, XML, Markdown, JSON, CSV, RTF, UNIX commands, Large Language Models", "professionalSkills" : [ "Content generation", "Data analysis", "Annotation" ], "hardSkillsList" : [ "Grammar", "Quality checks", "Logical decisions", "Issue identification", "Tooling improvements" ], "softSkillsList" : [ "Individuality", "Creativity" ], "hardSkills" : [ { "name" : "Grammar", "level" : "intermediate" }, { "name" : "Quality checks", "level" : "intermediate" }, { "name" : "Logical decisions", "level" : "intermediate" }, { "name" : "Issue identification", "level" : "intermediate" }, { "name" : "Tooling improvements", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Individuality" }, { "name" : "Creativity" } ], "majorSkills" : "Data annotation, LLM training data, Content generation", "majorSkillsList" : [ "Data annotation", "LLM training data", "Content generation" ], "coreResponsibilities" : "Create training data, Annotate complex training data, Write grammatically correct texts, Perform audits and quality checks, Make sound judgments, Dive deep into issues, Implement solutions independently, Identify and report tooling bugs, Suggest tooling improvements, Undertake foundational labeling functions, Evaluate dialogue on speech data, Evaluate dialogue on text data, Evaluate dialogue on audio data, Evaluate dialogue on video data", "teamCollaboration" : "Working closely with scientists; Working closely with engineers; Part of a diverse team", "domainKnowledge" : "Large Language Models", "domainList" : [ "large-language-models" ], "domainSpecificKnowledge" : [ "Large Language Models" ], "communicationSkills" : "Writing; Reading; Comprehension", "innovationCreativity" : "Creative mind", "problemSolvingSkills" : "Issue identification; Implement solutions; Logical decisions", "specialRequirements" : "Fixed term contract (12 months)", "outcomesObjectives" : "Deliver high-quality training data; Improve LLM capabilities; Expand LLM capabilities", "qualificationsBasic" : "Bachelor's degree or equivalent experience, 2+ years experience with written language data, Understanding of U.S. culture and norms, Research skills, Basic academic integrity understanding, Excellent attention to details, Ability to focus for long periods, Comfortable with high-school level STEM, Ability to write and evaluate diverse subject matter, Ability to adapt writing style, Ability to adapt to fast-paced environments", "qualificationsPreferred" : "Proficiency in English (C1 level CEFR), Experience creating complex data for LLM training, 1+ year(s) experience with command line interfaces, Familiarity with common markup languages, Familiarity with common standard text formats, Working knowledge of Python or scripting language, Familiarity with regular expressions syntax, Familiarity with Large Language Models, Comfort in annotation work with sensitive content", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. - Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines - Performing audits and quality checks of tasks completed by other specialists, if required - Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements 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: - Bachelor’s degree in a relevant field or equivalent professional experience - 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. - Strong understanding of U.S.-based culture, society, and norms. - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. - Excellent attention to details and ability to focus for a long period of time - Comfortable with high-school level STEM* - Ability to effectively write and evaluate diverse subject matter across various domains* - Ability to adapt writing style to suit various style guidelines and customers. - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications: - Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). - Experience with creating complex data for LLM training and evaluation - 1+ year(s) of experience working with command line interfaces and basic UNIX commands - Familiarity with common markup languages such as HTML, XML, Markdown - Familiarity with common standard text formats such as JSON, CSV, RTF - Working knowledge of Python or another scripting language - Familiarity with regular expressions syntax - Familiarity with Large Language Models - Comfort in annotation work that may include sensitive content 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 Content Expert II at ADCI HYD 16 SEZ - H83. Skills: Data annotation, LLM training data, Content generation. Create training data. Annotate complex training data", "postedDate" : "2026-06-13T15:27:37.930", "createdAt" : "2026-06-13T15:27:37.930", "lastUpdated" : "2026-06-15T02:08:52.500", "ingestTimestamp" : "2026-06-13T15:27:37.930", "mongoId" : "68c2e425f8b1b0376634c630", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3077506/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Grammar", "Quality checks", "Logical decisions", "Issue identification", "Tooling improvements", "Individuality", "Creativity", "Data annotation", "LLM training data", "Content generation", "Data analysis", "Annotation", "Large Language Models" ], "skillCount" : 13, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "_score" : 845.94196, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "68c2e425f8b1b0376634c632", "title" : "AI Content Expert II", "company" : "ADCI MAA 12 SEZ", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 1350000.0, "max" : 2150000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for AI Content Expert II in Chennai, India, adjusted for mid-seniority and technology industry." }, "location" : "Chennai, Tamil Nadu, IND", "locations" : [ "Chennai, Tamil Nadu, IND" ], "timestamp" : "2026-06-15T04:14:53.821", "fingerprint" : "db67bd012d1c529e6c5d717210b162fec0876ba14b15f68da86ffd64a3cc598c", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3077507/apply", "externalId" : "f93a4825-4b98-4251-8b99-671089534d2d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chennai", "state" : "Tamil Nadu", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "13.0836939,80.2701860" } ], "locationText" : "Chennai, Tamil Nadu, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, HTML, XML, Markdown, JSON, CSV, RTF, Regular expressions", "professionalSkills" : [ "Content generation", "Data analysis", "Annotation", "Data markup", "Guideline review", "Tooling improvement", "Quality checks", "Problem solving", "Issue identification", "Solution implementation" ], "hardSkillsList" : [ "Complex data creation", "Complex data annotation", "Grammatically correct writing", "Quality assurance", "Logical decision making", "Ambiguous information handling", "Dialogue evaluation" ], "softSkillsList" : [ "Individuality", "Creativity" ], "hardSkills" : [ { "name" : "Complex data creation", "level" : "intermediate" }, { "name" : "Complex data annotation", "level" : "intermediate" }, { "name" : "Grammatically correct writing", "level" : "intermediate" }, { "name" : "Quality assurance", "level" : "intermediate" }, { "name" : "Logical decision making", "level" : "intermediate" }, { "name" : "Ambiguous information handling", "level" : "intermediate" }, { "name" : "Dialogue evaluation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Individuality" }, { "name" : "Creativity" } ], "majorSkills" : "Data annotation, LLM training data, Content generation", "majorSkillsList" : [ "Data annotation", "LLM training data", "Content generation" ], "coreResponsibilities" : "Create training data, Annotate complex training data, Write grammatically correct texts, Adhere to guidelines, Perform audits, Perform quality checks, Make sound judgments, Make logical decisions, Dive deep into issues, Implement solutions independently, Identify tooling bugs, Report tooling bugs, Suggest tooling improvements, Undertake foundational labeling functions, Evaluate dialogue data", "teamCollaboration" : "Working closely with scientists; Working closely with engineers", "domainKnowledge" : "Large Language Models; Generative AI", "domainList" : [ "large-language-models", "generative-ai" ], "domainSpecificKnowledge" : [ "Large Language Models", "Generative AI" ], "communicationSkills" : "Writing; Reading; Comprehension", "innovationCreativity" : "Creative mind", "problemSolvingSkills" : "Problem solving; Logical decision making", "specialRequirements" : "Fixed Term Contractual Role", "outcomesObjectives" : "Deliver high-quality training data; Improve LLM capabilities; Expand LLM capabilities", "qualificationsBasic" : "Bachelor's degree or equivalent professional experience, 2+ yrs experience with written language data, Annotation experience, Data markup experience, Research skills, Understand academic integrity, Excellent attention to details, Ability to focus for long periods, Ability to write and evaluate diverse subjects, Ability to adapt writing style, Ability to adapt to fast-paced environments", "qualificationsPreferred" : "Proficiency in English (C1 level), Experience creating complex data for LLM training, Experience evaluating LLM data, Understanding of U.S. culture, society, and norms, Comfort with high-school level STEM, Familiarity with HTML, Familiarity with XML, Familiarity with Markdown, Familiarity with JSON, Familiarity with CSV, Familiarity with RTF, Working knowledge of Python, Working knowledge of another scripting language, Familiarity with regular expressions syntax, Familiarity with Large Language Models, Comfort with sensitive content annotation", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. Note: This is a Fixed Term Contractual Role Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. - Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines - Performing audits and quality checks of tasks completed by other specialists, if required - Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements 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: - Bachelor’s degree in a relevant field or equivalent professional experience - 2+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup. - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. - Excellent attention to details and ability to focus for a long period of time - Ability to effectively write and evaluate diverse subject matter across various domains* - Ability to adapt writing style to suit various style guidelines and customers. - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications: - Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). - Experience with creating complex data for LLM training and evaluation - Strong understanding of U.S.-based culture, society, and norms. - Comfortable with high-school level STEM* - Familiarity with common markup languages such as HTML, XML, Markdown - Familiarity with common standard text formats such as JSON, CSV, RTF - Working knowledge of Python or another scripting language - Familiarity with regular expressions syntax - Familiarity with Large Language Models - Comfort in annotation work that may include sensitive content 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 Content Expert II at ADCI MAA 12 SEZ. Skills: Data annotation, LLM training data, Content generation. Create training data. Annotate complex training data", "postedDate" : "2026-06-13T05:47:12.010", "createdAt" : "2026-06-13T05:47:12.010", "lastUpdated" : "2026-06-15T04:14:53.821", "ingestTimestamp" : "2026-06-13T05:47:12.010", "mongoId" : "68c2e425f8b1b0376634c632", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3077507/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Complex data creation", "Complex data annotation", "Grammatically correct writing", "Quality assurance", "Logical decision making", "Ambiguous information handling", "Dialogue evaluation", "Individuality", "Creativity", "Data annotation", "LLM training data", "Content generation", "Data analysis", "Annotation", "Data markup", "Guideline review", "Tooling improvement", "Quality checks", "Problem solving", "Issue identification", "Solution implementation", "Large Language Models", "Generative AI" ], "skillCount" : 23, "jobCategory" : "operations", "dataQualityScore" : 1.0, "_score" : 844.0024, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2ce89d74d8ee00a0a6b4c9", "title" : "Product Marketer (Content)", "industry" : "Marketing", "salary" : { "min" : 140000.0, "max" : 190000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco", "locations" : [ "San Francisco" ], "timestamp" : "2026-06-15T06:39:51.126", "fingerprint" : "7da34889e7b75cf9a111ccbc8813432ee1c22f4bb0921681ab3405b392c19528", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/hedra/0c6654ec-a00e-47d7-8b21-a7edb41ef4f5/application", "externalId" : "0c6654ec-a00e-47d7-8b21-a7edb41ef4f5", "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", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "AI, ML", "professionalSkills" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics", "Content strategy", "Technical translation", "Channel versatility", "Blog management", "Website copywriting", "Brand stewardship" ], "hardSkillsList" : [ "Content creation", "Engagement strategy", "Trend analysis", "Email marketing", "Audience segmentation", "SEO optimization", "Copywriting" ], "hardSkills" : [ { "name" : "Content creation", "level" : "intermediate" }, { "name" : "Engagement strategy", "level" : "intermediate" }, { "name" : "Trend analysis", "level" : "intermediate" }, { "name" : "Email marketing", "level" : "intermediate" }, { "name" : "Audience segmentation", "level" : "intermediate" }, { "name" : "SEO optimization", "level" : "intermediate" }, { "name" : "Copywriting", "level" : "intermediate" } ], "majorSkills" : "Product Marketing, Content Marketing, AI Content", "majorSkillsList" : [ "Product Marketing", "Content Marketing", "AI Content" ], "coreResponsibilities" : "Own written content strategy, Translate capabilities into stories, Dive deep into AI research, Make AI accessible, Make AI exciting, Own ideation of social media content, Own writing of social media content, Own execution of social media content, Develop engagement strategy, Execute engagement strategy, Increase brand visibility, Increase thought leadership, Keep pulse on industry trends, Ensure social content relevance, Ensure social content timeliness, Ensure social content authority, Own weekly newsletter strategy, Own weekly newsletter execution, Synthesize complex concepts, Write engaging content, Break down AI research, Draft customer case studies, Explore industry use cases, Ensure email content speaks to personas, Write SEO-optimized blog posts, Position brand as AI leader, Position brand as industry leader, Optimize website messaging, Optimize landing pages, Optimize product feature copy, Maximize conversion, Maximize clarity, Serve as brand voice guardian, Ensure cohesive tone", "teamCollaboration" : "Intersection of product, marketing, community", "domainKnowledge" : "AI; AI technologies; AI advancements; AI models; AI research; AI newsletters; AI tools; AI works; AI workflows; Foundational models", "domainList" : [ "ai", "ai-technologies", "ai-advancements", "ai-models", "ai-research", "ai-newsletters", "ai-tools", "ai-works", "ai-workflows", "foundational-models" ], "domainSpecificKnowledge" : [ "AI", "AI technologies", "AI advancements", "AI models", "AI research", "AI newsletters", "AI tools", "AI works", "AI workflows", "Foundational models" ], "communicationSkills" : "Written content strategy; Compelling stories; Value-driven stories; Social media content; Community engagement; Email campaigns; Deep-dive writing; Blog posts; Website copy; Product feature copy", "specialRequirements" : "5 days in office", "outcomesObjectives" : "Increase brand visibility; Increase thought leadership; Maximize conversion; Maximize clarity", "qualificationsBasic" : "3+ years in Product Marketing, 3+ years in Content Marketing, 3+ years in writing-focused marketing, Experience writing in AI/ML space, Ability to translate technical concepts, Portfolio of published work", "qualificationsPreferred" : "Experience in B2B SaaS, Experience in AI spaces, Experience writing about AI technologies, Deep interest in AI, Writes AI newsletters, Experiments with latest AI tools, Enjoys learning AI workings, Experience writing AI/complex tech, Hands-on AI tinkering, Played with foundational models, Builds AI workflows, Prototyping AI workflows, Experimenting AI workflows, Startup experience, Experience working in fast-paced startup, Experience building processes from scratch", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT THE ROLE We are looking for a narrative-driven Product Marketer to become the voice of our product. In this role, you won't just write copy; you will own our end-to-end written content strategy across our most critical channels. You will sit at the intersection of product, marketing, and community, translating complex capabilities into compelling, value-driven stories. An obsession with AI is a must for this role. Whether you have a proven track record of writing about AI technologies, or you are an avid AI power-user with a fierce intellectual curiosity for the space, you will be responsible for diving deep into AI research and making it accessible and exciting for our audience. KEY RESPONSIBILITIES SOCIAL MEDIA & COMMUNITY OWNERSHIP - Content Creation: Own the ideation, writing, and execution of all social media content (captions, threads, posts) across our active platforms. - Engagement Strategy: Develop and execute a strategic commenting/community engagement framework to increase brand visibility and thought leadership. - Trend Jacking: Keep a pulse on industry trends, specifically AI advancements and tech shifts to ensure our social content remains relevant, timely, and authoritative. EMAIL MARKETING & EDITORIAL CONTENT - Weekly Newsletter: Own the strategy and execution of our weekly email campaigns from scratch. - Deep-Dive Writing: Synthesize complex concepts into highly engaging content, including breaking down AI research articles, drafting customer case studies, and exploring industry-specific use cases. - Audience Segmentation: Ensure email content speaks directly to the pain points of different user personas. WEB & LONG-FORM COPY - Blog Management: Write high-quality, SEO-optimized blog posts that position our brand as an AI/industry leader. - Website Copywriting: Own and continuously optimize website messaging, landing pages, and product feature copy to maximize conversion and clarity. - Brand Stewardship: Serve as the ultimate guardian of the brand voice, ensuring a cohesive tone across every digital touchpoint. QUALIFICATIONS & SKILLS - Experience: 3+ years in Product Marketing, Content Marketing, or a heavily writing-focused marketing role (ideally within B2B SaaS, tech, or AI spaces). - AI Domain Expertise / Interest: Proven experience writing content in the AI/ML space, OR a demonstrably deep interest in AI. You are someone who reads AI newsletters, experiments with the latest tools, and genuinely enjoys learning how AI works under the hood. - Technical Translation: A proven ability to take highly technical concepts (like AI models, research papers, or product architecture) and translate them into crystal-clear, value-driven content. - Channel Versatility: You can seamlessly switch gears from writing a punchy 280-character social post to an in-depth, 1,500-word case study. - Portfolio: A strong portfolio of published work (blogs, newsletters, social campaigns, or web copy). Bonus points if you include pieces that showcase your ability to write about AI or complex tech. NICE-TO-HAVES - Hands-on AI Tinkering: You have personally played with all the major foundational models and enjoy building, prototyping, or experimenting with AI workflows. - Startup Grit: Experience working in a fast-paced, scrappy startup environment. You know how to operate with ambiguity and build processes from the ground up. LOCATION & COMPENSATION - Location: 5 days in office (San Francisco, CA) - Pay Range: $140,000 - $190,000 (Base salary range for California candidates) - Perks: Free breakfast and lunch provided daily in the office", "summaryDescription" : "Product Marketer (Content). Skills: Product Marketing, Content Marketing, AI Content. Own written content strategy. Translate capabilities into stories", "createdAt" : "2026-06-13T22:35:22.141", "lastUpdated" : "2026-06-15T06:39:51.126", "ingestTimestamp" : "2026-06-13T22:35:22.141", "mongoId" : "6a2ce89d74d8ee00a0a6b4c9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 140000, "salaryAnnualMax" : 190000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Content creation", "Engagement strategy", "Trend analysis", "Email marketing", "Audience segmentation", "SEO optimization", "Copywriting", "Product Marketing", "Content Marketing", "AI Content", "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics", "Content strategy", "Technical translation", "Channel versatility", "Blog management", "Website copywriting", "Brand stewardship", "AI", "AI technologies", "AI advancements", "AI models", "AI research", "AI newsletters", "AI tools", "AI works", "AI workflows", "Foundational models" ], "skillCount" : 30, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 842.3838, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "68c2e425f8b1b0376634c62c", "title" : "AI Content Expert II", "company" : "ADCI HYD 16 SEZ - H83", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for AI Content Expert II in Hyderabad, India, adjusted for mid-seniority and full-time employment in the technology industry." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T06:02:50.341", "fingerprint" : "08836761ca5e3aa8699ae59ca6b64af32934708aba92c9bbc99bd89d986b35d2", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3077501/apply", "externalId" : "c22bfbbe-cdc5-4d2f-9a75-83d135bdf69f", "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" : "Bachelor's", "experienceMinYears" : 2, "technicalSkills" : "Python, HTML, XML, Markdown, JSON, CSV, RTF, UNIX commands, Large Language Models", "professionalSkills" : [ "Content generation", "Data analysis", "Annotation", "Guideline review", "Tooling improvement", "Quality checks", "Logical decisions" ], "hardSkillsList" : [ "Grammar", "Text writing", "Data markup", "Information gathering", "Topic synthesis" ], "softSkillsList" : [ "Individuality", "Creative mind" ], "hardSkills" : [ { "name" : "Grammar", "level" : "intermediate" }, { "name" : "Text writing", "level" : "intermediate" }, { "name" : "Data markup", "level" : "intermediate" }, { "name" : "Information gathering", "level" : "intermediate" }, { "name" : "Topic synthesis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Individuality" }, { "name" : "Creative mind" } ], "majorSkills" : "Data annotation, Content generation, LLM training data", "majorSkillsList" : [ "Data annotation", "Content generation", "LLM training data" ], "coreResponsibilities" : "Create training data, Annotate complex training data, Write grammatically correct texts, Perform audits and quality checks, Make sound judgments, Dive deep into issues, Implement solutions independently, Identify and report tooling bugs, Suggest tooling improvements, Undertake foundational labeling functions, Evaluate dialogue on speech data, Evaluate dialogue on text data, Evaluate dialogue on audio data, Evaluate dialogue on video data", "teamCollaboration" : "Working closely with scientists; Working closely with engineers; Part of a diverse team", "domainKnowledge" : "Large Language Models", "domainList" : [ "large-language-models" ], "domainSpecificKnowledge" : [ "Large Language Models" ], "communicationSkills" : "Writing; Reading; Comprehension", "innovationCreativity" : "Creative mind", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "Fixed term contract (12 months), Strict confidentiality", "qualificationsBasic" : "Bachelor's degree or equivalent experience, 2+ years experience with written language data, Understanding of U.S. culture and norms, Research skills, Basic academic integrity understanding, Excellent attention to details, Ability to focus for long periods, Comfortable with high-school level STEM, Ability to write and evaluate diverse subject matter, Ability to adapt writing style, Ability to adapt to fast-paced environments", "qualificationsPreferred" : "Proficiency in English (C1 level CEFR), Experience creating complex data for LLM training, 1+ year(s) experience with command line interfaces, Familiarity with common markup languages, Familiarity with common standard text formats, Working knowledge of Python or scripting language, Familiarity with regular expressions syntax, Familiarity with Large Language Models, Comfort in annotation work with sensitive content", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. - Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines - Performing audits and quality checks of tasks completed by other specialists, if required - Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements 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: - Bachelor’s degree in a relevant field or equivalent professional experience - 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. - Strong understanding of U.S.-based culture, society, and norms. - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. - Excellent attention to details and ability to focus for a long period of time - Comfortable with high-school level STEM* - Ability to effectively write and evaluate diverse subject matter across various domains* - Ability to adapt writing style to suit various style guidelines and customers. - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications: - Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). - Experience with creating complex data for LLM training and evaluation - 1+ year(s) of experience working with command line interfaces and basic UNIX commands - Familiarity with common markup languages such as HTML, XML, Markdown - Familiarity with common standard text formats such as JSON, CSV, RTF - Working knowledge of Python or another scripting language - Familiarity with regular expressions syntax - Familiarity with Large Language Models - Comfort in annotation work that may include sensitive content 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 Content Expert II at ADCI HYD 16 SEZ - H83. Skills: Data annotation, Content generation, LLM training data. Create training data. Annotate complex training data", "postedDate" : "2026-06-13T12:07:25.128", "createdAt" : "2026-06-13T12:07:25.128", "lastUpdated" : "2026-06-15T06:02:50.341", "ingestTimestamp" : "2026-06-13T12:07:25.128", "mongoId" : "68c2e425f8b1b0376634c62c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3077501/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Grammar", "Text writing", "Data markup", "Information gathering", "Topic synthesis", "Individuality", "Creative mind", "Data annotation", "Content generation", "LLM training data", "Data analysis", "Annotation", "Guideline review", "Tooling improvement", "Quality checks", "Logical decisions", "Large Language Models" ], "skillCount" : 17, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "_score" : 841.5533, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "68b706987fc9a711f0f6fd4b", "title" : "AI Content Expert II", "company" : "Amazon Development Center (Netherlands) B. V.", "industry" : "Editorial, Writing, Content Management, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Mid-seniority AI Content Expert II in The Hague, Netherlands, adjusted for company size and industry." }, "location" : "The Hague, South Holland, NLD", "locations" : [ "The Hague, South Holland, NLD" ], "timestamp" : "2026-06-15T07:46:45.862", "fingerprint" : "aec0e1d558dfb54c701d9dd915538936e38676a2690c78dc41dcd48204df3c96", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3054810/apply", "externalId" : "aff14d55-c744-45f9-8042-faad27f2d198", "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" : "High-School", "technicalSkills" : "Python, UNIX, HTML, XML, Markdown, JSON, CSV, RTF", "professionalSkills" : [ "Content generation", "Data analysis", "Annotation", "Data markup", "Quality checks", "Research", "LLM training", "LLM evaluation" ], "hardSkillsList" : [ "Writing", "Reading", "Comprehension", "Research", "Data annotation", "Markup languages", "Scripting languages", "Regular expressions" ], "softSkillsList" : [ "Attention to details", "Adaptability" ], "hardSkills" : [ { "name" : "Writing", "level" : "intermediate" }, { "name" : "Reading", "level" : "intermediate" }, { "name" : "Comprehension", "level" : "intermediate" }, { "name" : "Research", "level" : "intermediate" }, { "name" : "Data annotation", "level" : "intermediate" }, { "name" : "Markup languages", "level" : "intermediate" }, { "name" : "Scripting languages", "level" : "intermediate" }, { "name" : "Regular expressions", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Attention to details" }, { "name" : "Adaptability" } ], "majorSkills" : "Data annotation, Content generation, LLM training", "majorSkillsList" : [ "Data annotation", "Content generation", "LLM training" ], "coreResponsibilities" : "Create training data, Annotate training data, Write grammatically correct texts, Perform audits, Perform quality checks, Make sound judgments, Make logical decisions, Dive deep into issues, Implement solutions independently, Identify tooling bugs, Report tooling bugs, Suggest tooling improvements, Review guidelines, Update guidelines, Identify tooling improvement opportunities, Engage in conversations regarding data quality", "teamCollaboration" : "Working with scientists; Working with engineers", "domainKnowledge" : "Dutch culture; U.S. culture; Large Language Models", "domainList" : [ "dutch-culture", "u-s-culture", "large-language-models" ], "domainSpecificKnowledge" : [ "Dutch culture", "U.S. culture", "Large Language Models" ], "communicationSkills" : "Writing; Reading; Comprehension", "continuousLearning" : "Trainings; Amazon events", "innovationCreativity" : "Creativity", "problemSolvingSkills" : "Problem solving; Troubleshooting", "qualificationsBasic" : "High-School or equivalent diploma, Proven experience with written language data, Experience with annotation, Experience with data markup, Proficiency in Dutch, Proficiency in English, Excellent writing skills, Excellent reading skills, Excellent comprehension skills, C1 level CEFR, Understanding of Dutch culture, Understanding of U.S. culture, Research skills, Excellent attention to details, Ability to focus for long periods, Comfortable with high-school level STEM, Ability to write diverse subject matter, Ability to evaluate diverse subject matter, Ability to adapt writing style, Ability to adapt to fast-paced environments", "qualificationsPreferred" : "Bachelor’s degree in relevant field, Equivalent professional experience, Experience creating complex data for LLM training, Experience creating complex data for LLM evaluation, Experience with command line interfaces, Experience with basic UNIX commands, Familiarity with HTML, Familiarity with XML, Familiarity with Markdown, Familiarity with JSON, Familiarity with CSV, Familiarity with RTF, Working knowledge of Python, Working knowledge of scripting language, Familiarity with regular expressions syntax, Familiarity with Large Language Models, Comfort with sensitive content annotation", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models' (LLMs) capabilities. Key job responsibilities - Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines - Performing audits and quality checks of tasks completed by other specialists, if required - Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements A day in the life As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. This is a Fixed term contract. About the team The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you. Basic Qualifications: - High-School or equivalent diploma. - Proven experience working with written language data, including experience with annotation, and other forms of data markup. - Strong proficiency in Dutch and English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). - Strong understanding of Dutch and U.S.-based culture, society, and norms. - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. - Excellent attention to details and ability to focus for a long period of time - Comfortable with high-school level STEM - Ability to effectively write and evaluate diverse subject matter across various domains - Ability to adapt writing style to suit various style guidelines and customers. - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications: - Bachelor’s degree in a relevant field or equivalent professional experience - Experience with creating complex data for LLM training and evaluation - Proven experience working with command line interfaces and basic UNIX commands - Familiarity with common markup languages such as HTML, XML, Markdown - Familiarity with common standard text formats such as JSON, CSV, RTF - Working knowledge of Python or another scripting language - Familiarity with regular expressions syntax- Familiarity with Large Language Models - Comfort in annotation work that may include sensitive content 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 Content Expert II at Amazon Development Center (Netherlands) B. V.. Skills: Data annotation, Content generation, LLM training. Create training data. Annotate training data", "postedDate" : "2026-06-13T10:56:17.729", "createdAt" : "2026-06-13T10:56:17.729", "lastUpdated" : "2026-06-15T07:46:45.862", "ingestTimestamp" : "2026-06-13T10:56:17.729", "mongoId" : "68b706987fc9a711f0f6fd4b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3054810/apply", "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Writing", "Reading", "Comprehension", "Research", "Data annotation", "Markup languages", "Scripting languages", "Regular expressions", "Attention to details", "Adaptability", "Content generation", "LLM training", "Data analysis", "Annotation", "Data markup", "Quality checks", "LLM evaluation", "Dutch culture", "U.S. culture", "Large Language Models" ], "skillCount" : 20, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "_score" : 840.6675, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "68c2e425f8b1b0376634c633", "title" : "AI Content Expert II", "company" : "ADCI HYD 16 SEZ - H83", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 1150000.0, "max" : 1750000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for AI Content Expert II in Hyderabad, India, adjusted for mid-seniority and technology industry." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T04:04:06.536", "fingerprint" : "3ad0a61db4c9aa9c0b1d740589bcdcdfa08c37731b64b3e1f5c289d34a57c236", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3077483/apply", "externalId" : "7dd54c2d-976f-4dc0-b293-11dcc03d7a4d", "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" : "Bachelor's", "experienceMinYears" : 2, "technicalSkills" : "Python, HTML, XML, Markdown, JSON, CSV, RTF, UNIX commands, Large Language Models", "professionalSkills" : [ "Content generation", "Data analysis", "Annotation" ], "hardSkillsList" : [ "Grammar", "Quality checks", "Logical decisions", "Problem identification", "Dialogue evaluation" ], "softSkillsList" : [ "Individuality", "Creativity" ], "hardSkills" : [ { "name" : "Grammar", "level" : "intermediate" }, { "name" : "Quality checks", "level" : "intermediate" }, { "name" : "Logical decisions", "level" : "intermediate" }, { "name" : "Problem identification", "level" : "intermediate" }, { "name" : "Dialogue evaluation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Individuality" }, { "name" : "Creativity" } ], "majorSkills" : "Data annotation, LLM training data, Content generation", "majorSkillsList" : [ "Data annotation", "LLM training data", "Content generation" ], "coreResponsibilities" : "Create training data, Review and update guidelines, Identify tooling improvement opportunities, Engage in conversations regarding data quality, Create and annotate complex training data, Write grammatically correct texts, Perform audits and quality checks, Make sound judgments with ambiguous information, Dive deep into issues, Implement solutions independently, Identify and report tooling bugs, Suggest tooling improvements, Undertake foundational labeling functions, Evaluate dialogue on speech data, Evaluate dialogue on text data, Evaluate dialogue on audio data, Evaluate dialogue on video data", "teamCollaboration" : "Working closely with scientists; Working closely with engineers; Part of a diverse team", "domainKnowledge" : "Generative AI; Large Language Models", "domainList" : [ "generative-ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models" ], "communicationSkills" : "Writing; Reading; Comprehension", "innovationCreativity" : "Creative mind", "problemSolvingSkills" : "Problem identification; Implementing solutions", "specialRequirements" : "Fixed term contract (12 months), Maintain strict confidentiality, Follow Amazon policies", "outcomesObjectives" : "Deliver high-quality training data; Improve LLM capabilities; Expand LLM capabilities", "qualificationsBasic" : "Bachelor's degree or equivalent experience, 2+ years experience with written language data, Understanding of U.S. culture and norms, Research skills, Basic academic integrity understanding, Excellent attention to details, Ability to focus for long periods, Comfortable with high-school level STEM, Ability to write and evaluate diverse subject matter, Ability to adapt writing style, Ability to adapt to fast-paced environments", "qualificationsPreferred" : "Proficiency in English (C1 level CEFR), Experience creating complex data for LLM training, 1+ year(s) experience with command line interfaces, Familiarity with common markup languages, Familiarity with common standard text formats, Working knowledge of Python or scripting language, Familiarity with regular expressions syntax, Familiarity with Large Language Models, Comfort in annotation work with sensitive content", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. - Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines - Performing audits and quality checks of tasks completed by other specialists, if required - Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements 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: - Bachelor’s degree in a relevant field or equivalent professional experience - 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. - Strong understanding of U.S.-based culture, society, and norms. - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. - Excellent attention to details and ability to focus for a long period of time - Comfortable with high-school level STEM* - Ability to effectively write and evaluate diverse subject matter across various domains* - Ability to adapt writing style to suit various style guidelines and customers. - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications: - Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). - Experience with creating complex data for LLM training and evaluation - 1+ year(s) of experience working with command line interfaces and basic UNIX commands - Familiarity with common markup languages such as HTML, XML, Markdown - Familiarity with common standard text formats such as JSON, CSV, RTF - Working knowledge of Python or another scripting language - Familiarity with regular expressions syntax - Familiarity with Large Language Models - Comfort in annotation work that may include sensitive content 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 Content Expert II at ADCI HYD 16 SEZ - H83. Skills: Data annotation, LLM training data, Content generation. Create training data. Review and update guidelines", "postedDate" : "2026-06-13T11:04:16.999", "createdAt" : "2026-06-13T11:04:16.999", "lastUpdated" : "2026-06-15T04:04:06.536", "ingestTimestamp" : "2026-06-13T11:04:16.999", "mongoId" : "68c2e425f8b1b0376634c633", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3077483/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Grammar", "Quality checks", "Logical decisions", "Problem identification", "Dialogue evaluation", "Individuality", "Creativity", "Data annotation", "LLM training data", "Content generation", "Data analysis", "Annotation", "Generative AI", "Large Language Models" ], "skillCount" : 14, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "_score" : 840.09503, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c7cc674d8ee00a094e4e5", "title" : "Senior Marketing Manager, Universities (Explore)", "company" : "Explore", "industry" : "Education", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Marketing Manager in Education industry in Delhi, India, adjusted for seniority and company size." }, "location" : "Delhi, India", "locations" : [ "Delhi", "India" ], "timestamp" : "2026-06-16T00:44:24.356", "fingerprint" : "bb3f2a7fbce9b3284fd06e8ce569f2ab84b0dc07c69a5ec91990c271ed3b3778", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.explore.study/careers?gh_jid=6017153004", "externalId" : "6017153004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Delhi", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "28.6138954,77.2090057" } ], "locationText" : "Delhi, India", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI", "professionalSkills" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics", "Product marketing", "Go-to-market execution", "Sales enablement" ], "hardSkillsList" : [ "Demand generation", "Lifecycle communications", "Thought leadership", "Positioning" ], "hardSkills" : [ { "name" : "Demand generation", "level" : "intermediate" }, { "name" : "Lifecycle communications", "level" : "intermediate" }, { "name" : "Thought leadership", "level" : "intermediate" }, { "name" : "Positioning", "level" : "intermediate" } ], "majorSkills" : "Marketing strategy, Demand generation, Product positioning", "majorSkillsList" : [ "Marketing strategy", "Demand generation", "Product positioning" ], "coreResponsibilities" : "Launch university-facing demand generation campaign, Support major sector event, Develop thought leadership, Run lifecycle communications, Build positioning for new product offering, Plan integrated campaigns, Execute integrated campaigns, Drive university pipeline growth, Drive partner engagement, Drive market penetration, Run demand generation, Partner with commercial team, Ensure marketing generates right leads, Use AI tools, Support positioning, Support messaging, Support go-to-market execution, Translate platform capabilities, Develop sales enablement materials, Develop customer stories, Develop presentations, Develop launch communications", "teamCollaboration" : "Manifest Global central marketing function", "domainKnowledge" : "International student recruitment; University outreach platform; Global human capital mobility", "domainList" : [ "international-student-recruitment", "university-outreach-platform", "global-human-capital-mobility" ], "domainSpecificKnowledge" : [ "International student recruitment", "University outreach platform", "Global human capital mobility" ], "toolProficiency" : [ "HubSpot", "Salesforce" ], "communicationSkills" : "Thought leadership; Launch communications", "outcomesObjectives" : "Drive university pipeline growth; Drive partner engagement; Drive market penetration; Ensure marketing generates right leads", "qualificationsBasic" : "5+ years marketing experience, Experience with HubSpot, Salesforce, or comparable CRM, Experience with marketing automation platform", "qualificationsPreferred" : "Experience in university outreach platform marketing", "rawDescription" : "Explore was formed in 2025 as our university-facing brand, bringing together the Cialfo and BridgeU platforms that sits under Manifest Global to connect universities with a global network of K-12 students and counsellors. Through these platforms, we support students and their counsellors throughout the university application journey, while helping universities engage earlier, understand performance more clearly, and make more informed decisions about their international undergraduate recruitment strategies. What This Role Is Universities across the world are trying to reach the right international students. They invest in fairs, digital campaigns, agent networks, and outreach programmes. Most of them have a reasonable sense of where their students come from. Very few have a clear picture of why a student chose them over a peer institution, which counsellor recommended them, or what moment in the journey actually drove the decision to apply. Explore exists to give universities that clarity, and to connect them directly to the global counsellor and student network built across Cialfo and BridgeU's 1,750+ K-12 schools. Universities use Explore to run targeted outreach campaigns, engage students earlier in their decision journey, and build the kind of data-informed recruitment strategy that most institutions don't yet have. The platform is growing. The university partner base is expanding. And the marketing function that drives that growth, builds Explore's reputation in the sector, and delivers the campaigns that make the platform genuinely valuable to university partners needs someone who can hold the full picture simultaneously. On any given week, that might mean launching a university-facing demand generation campaign, supporting a major sector event like NAFSA or BUILA, developing thought leadership for senior enrolment leaders, running lifecycle communications for existing partners, or building positioning for a new product offering. The audiences are different, the channels are different, and the commercial objectives are different. The person who does this well doesn't lose quality or focus across any of it. As Senior Marketing Manager, you'll be the primary marketing partner to the Explore leadership team, working closely with the Manifest Global central marketing function to bring campaigns and initiatives to life across the full marketing mix. What Makes This Role Different Most senior marketing manager roles sit inside a single discipline: demand generation, content, product marketing, events, or lifecycle. This one spans all of them, across both B2B and B2C audiences simultaneously. On the B2B side, you're marketing to university international offices, enrolment leaders, and senior recruitment stakeholders who are evaluating Explore against other platforms and partnerships. On the B2C side, you're involved in student engagement programmes that make Explore's university campaigns actually perform. These require different instincts, different channels, and different success metrics. The person who holds both, and understands how they connect across the funnel, is doing genuinely high-value work. Explore also sits inside the Manifest ecosystem. The counsellor network across Cialfo and BridgeU, Kaaiser's placement infrastructure, the combined data layer across the group: these are real differentiators that well-built marketing can make visible to university partners who are thinking seriously about their international recruitment strategy. No standalone university outreach platform can offer this. The marketing that communicates it clearly is one of the most important things Explore can build right now. What You Own Demand generation and university pipeline growth Plan and execute integrated campaigns that drive university pipeline growth, partner engagement, and market penetration across key regions for Explore Run demand generation across paid media, email, webinars, partnerships, events, and organic channels, with clear accountability for pipeline contribution, conversion rates, and cost efficiency Partner closely with the commercial team to ensure marketing is generating the right university leads, not just the most, and that the handoff to sales is clean and well-timed Use AI tools actively to improve campaign speed, targeting, testing, and performance. Bring these tools into how you work as a standard capability, not an experiment Product marketing and positioning Support positioning, messaging, and go-to-market execution for Explore's products and services, translating platform capabilities into value propositions that land with university enrolment leaders and recruitment stakeholders Develop sales enablement materials, customer stories, presentations, and launch communications that the commercial team actually uses in partner conversations Conduct market research to stay close to what universities are asking for and what peers are offering, and feed that back into how Explore positions itself Customer lifecycle marketing Design and run lifecycle programmes across university onboarding, engagement, retention, and advocacy, with the goal of turning new partners into long-term committed ones Build nurture journeys and communication programmes that strengthen university engagement between renewal cycles, not just at contract time Work with commercial and customer-facing teams to identify where partner engagement drops and build the marketing programmes that address it Brand, content, and thought leadership Build Explore's reputation as a trusted partner within the global international education sector, producing thought leadership content that earns attention from senior enrolment leaders rather than just occupying their inboxes Execute content initiatives across webinars, reports, podcasts, customer stories, and sector-focused content that positions Explore as the platform that understands international student recruitment better than anyone else Ensure brand consistency across all campaigns, events, communications, and collateral, maintaining a clear and coherent voice across everything Explore puts into the market Events and sector marketing Own marketing support for major industry events including NAFSA, BUILA, ICEF, and regional conferences, with campaigns, collateral, and post-event nurture programmes that make each event generate real pipeline rather than just presence Align marketing activity with key sector moments and commercial priorities throughout the year so the team is always showing up at the right time with the right message Campaign management and cross-functional coordination Translate Explore's business objectives into clear campaign plans and briefs for the central marketing team, managing timelines, workflows, approvals, and stakeholder communication with enough rigour that things don't slip Build reporting that gives the Explore leadership team genuine visibility into what is working, what isn't, and what needs to change Continuously improve marketing processes and bring AI-assisted tools into that improvement where they create genuine efficiency What Success Looks Like The markers below reflect where Explore's marketing function is today. We'll calibrate the specifics once you're in the seat. These are directional, not fixed. You'll start by building a clear picture of the current marketing programmes, what's generating pipeline, where the positioning gaps are, which channels are underinvested, and where the highest-leverage improvements are. You'll have a view on where to contribute first. From there, university pipeline sourced from marketing will be growing and better tracked. Explore's positioning in the sector will be sharper. Partner engagement and retention metrics will be improving. Events will be generating real commercial momentum. The central marketing team will have a clear, reliable brief-to-execution process for everything Explore needs. Over time, Explore will have greater visibility and credibility in the international education sector, and the marketing function will have played a material role in making that true. The specifics will be calibrated once you're in the role. The direction won't change. What You Bring You have seven to nine years across B2B growth marketing, or integrated marketing, with enough range to have genuine competence across more than one discipline. You've worked across demand generation, product marketing, lifecycle, events, and content in some combination, and you understand how they connect rather than treating them as separate jobs. You're commercially driven. You track pipeline contribution, conversion rates, and cost efficiency because those numbers are useful to you, not just required of you. You know the difference between marketing activity that looks impressive and marketing activity that moves a business, and you build towards the latter. You understand the higher education and international student recruitment sector well enough to speak its language credibly. You know how university international offices make decisions, what they value in a platform partner, and what makes a thought leadership piece worth reading versus one that gets filed away. Experience in international education, higher education, or student recruitment is a real advantage here. You're comfortable operating in a lean environment with significant autonomy. Explore is a growing business unit within a larger group. You won't have a large team around you or a fully defined playbook. You'll be expected to manage your own priorities, create your own leverage, and produce high-quality output without constant direction. You're genuinely open about AI as a working tool. You use it to produce faster, test more, and do more with a lean team, and you have a practical view of where it helps and where it doesn' t. You're familiar with HubSpot, Salesforce, or a comparable CRM and marketing automation platform, and you understand these tools well enough to build the programmes rather than just brief someone else to. Most importantly, you read the description of what Explore is building and thought: I understand exactly what universities need from this platform and I know how to build the marketing function that makes them see it. That's who this role is for. Why Manifest Manifest Global is building the infrastructure for global human capital mobility, connecting students, schools, universities, and employers across 50+ countries. Our portfolio spans Cialfo (AI-powered college counselling, 2,000+ schools), BridgeU (university guidance for international schools globally), Kaaiser (trusted study abroad counselling since 1997 across India and Southeast Asia), and Explore (AI-powered university outreach platform). Together, we move talent across borders at scale. $700B flows annually in remittances from migrant workers. 85M workers will be missing from developed economies by 2030. We're building the operating system that changes that. $80M raised. Still early. For this role specifically, Explore sits at the point where the Manifest ecosystem meets the university market. The counsellor network, the student data, the K12 platform reach: all of it becomes commercially valuable to universities through Explore. The marketing function that makes that value visible and credible to the right university buyers is one of the most important things Explore can build right now. This is the seat where that work gets done. Explore is part of Manifest Global, a multi-brand group building the infrastructure for global human capital mobility, operating across 50+ countries with $80M raised from Tiger Global, SIG, and Square Peg.", "summaryDescription" : "Senior Marketing Manager, Universities (Explore) at Explore. Skills: Marketing strategy, Demand generation, Product positioning. Launch university-facing demand generation campaign. Support major sector event", "postedDate" : "2026-06-14T20:10:22.936", "createdAt" : "2026-06-14T20:10:22.936", "lastUpdated" : "2026-06-16T00:44:24.356", "ingestTimestamp" : "2026-06-14T20:10:22.936", "mongoId" : "6a2c7cc674d8ee00a094e4e5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Demand generation", "Lifecycle communications", "Thought leadership", "Positioning", "Marketing strategy", "Product positioning", "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics", "Product marketing", "Go-to-market execution", "Sales enablement", "International student recruitment", "University outreach platform", "Global human capital mobility", "HubSpot", "Salesforce" ], "skillCount" : 18, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 838.9423, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e425f8b1b0376634c62a", "title" : "AI Content Expert II", "company" : "ADCI HYD 16 SEZ - H83", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for AI Content Expert II in Hyderabad, India, adjusted for mid-seniority and technology industry." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T00:52:47.785", "fingerprint" : "9c58fea3f0ea53679c8e6dda0c5587fdc428928f60467a8ae8a758445bcd1271", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3077489/apply", "externalId" : "c19ca93c-4376-4fb8-8d1c-ca96c5826a3f", "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" : "Bachelor's", "experienceMinYears" : 2, "technicalSkills" : "Python, HTML, XML, Markdown, JSON, CSV, RTF, UNIX commands, Large Language Models", "professionalSkills" : [ "Content generation", "Data analysis", "Annotation" ], "hardSkillsList" : [ "Grammar", "Quality checks", "Logical decisions", "Problem solving" ], "softSkillsList" : [ "Individuality", "Creative mind" ], "hardSkills" : [ { "name" : "Grammar", "level" : "intermediate" }, { "name" : "Quality checks", "level" : "intermediate" }, { "name" : "Logical decisions", "level" : "intermediate" }, { "name" : "Problem solving", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Individuality" }, { "name" : "Creative mind" } ], "majorSkills" : "Data annotation, LLM training data, Content generation", "majorSkillsList" : [ "Data annotation", "LLM training data", "Content generation" ], "coreResponsibilities" : "Create training data, Annotate complex training data, Write grammatically correct texts, Perform audits and quality checks, Make sound judgments, Dive deep into issues, Implement solutions independently, Identify and report tooling bugs, Suggest tooling improvements, Undertake foundational labeling functions, Evaluate dialogue on speech data, Evaluate dialogue on text data, Evaluate dialogue on audio data, Evaluate dialogue on video data", "teamCollaboration" : "Working closely with scientists; Working closely with engineers; Part of a diverse team", "domainKnowledge" : "Large Language Models", "domainList" : [ "large-language-models" ], "domainSpecificKnowledge" : [ "Large Language Models" ], "communicationSkills" : "Writing; Reading; Comprehension", "innovationCreativity" : "Creative mind", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "Fixed term contract (12 months)", "outcomesObjectives" : "Deliver high-quality training data; Improve LLM capabilities; Expand LLM capabilities", "qualificationsBasic" : "Bachelor's degree or equivalent experience, 2+ years experience with written language data, Understanding of U.S. culture and norms, Research skills, Basic academic integrity understanding, Excellent attention to details, Ability to focus for long periods, Comfortable with high-school level STEM, Ability to write and evaluate diverse subject matter, Ability to adapt writing style, Ability to adapt to fast-paced environments", "qualificationsPreferred" : "Proficiency in English (C1 level CEFR), Experience creating complex data for LLM training, 1+ year(s) experience with command line interfaces, Familiarity with common markup languages, Familiarity with common standard text formats, Working knowledge of Python or scripting language, Familiarity with regular expressions syntax, Familiarity with Large Language Models, Comfort in annotation work with sensitive content", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. - Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines - Performing audits and quality checks of tasks completed by other specialists, if required - Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements 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: - Bachelor’s degree in a relevant field or equivalent professional experience - 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. - Strong understanding of U.S.-based culture, society, and norms. - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. - Excellent attention to details and ability to focus for a long period of time - Comfortable with high-school level STEM* - Ability to effectively write and evaluate diverse subject matter across various domains* - Ability to adapt writing style to suit various style guidelines and customers. - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications: - Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). - Experience with creating complex data for LLM training and evaluation - 1+ year(s) of experience working with command line interfaces and basic UNIX commands - Familiarity with common markup languages such as HTML, XML, Markdown - Familiarity with common standard text formats such as JSON, CSV, RTF - Working knowledge of Python or another scripting language - Familiarity with regular expressions syntax - Familiarity with Large Language Models - Comfort in annotation work that may include sensitive content 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 Content Expert II at ADCI HYD 16 SEZ - H83. Skills: Data annotation, LLM training data, Content generation. Create training data. Annotate complex training data", "postedDate" : "2026-06-13T09:45:07.256", "createdAt" : "2026-06-13T09:45:07.256", "lastUpdated" : "2026-06-15T00:52:47.785", "ingestTimestamp" : "2026-06-13T09:45:07.256", "mongoId" : "68c2e425f8b1b0376634c62a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3077489/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Grammar", "Quality checks", "Logical decisions", "Problem solving", "Individuality", "Creative mind", "Data annotation", "LLM training data", "Content generation", "Data analysis", "Annotation", "Large Language Models" ], "skillCount" : 12, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "_score" : 838.2168, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "68ed10a470f0b99d58e7b526", "title" : "AI Content Expert II", "company" : "ADCI MAA 12 SEZ", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for AI Content Expert II in Chennai, India, adjusted for mid-seniority and technology industry." }, "location" : "Chennai, Tamil Nadu, IND", "locations" : [ "Chennai, Tamil Nadu, IND" ], "timestamp" : "2026-06-14T23:49:10.000", "fingerprint" : "af08bd3a7e5eb37debc847d3046f5d6a5f2cba199bbfb2325fc49a005433aaa6", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3105187/apply", "externalId" : "759b83ad-ae91-4018-b593-3b876dc06166", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chennai", "state" : "Tamil Nadu", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "13.0836939,80.2701860" } ], "locationText" : "Chennai, Tamil Nadu, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "technicalSkills" : "Python, HTML, XML, Markdown, JSON, CSV, RTF, Large Language Models", "professionalSkills" : [ "Content generation", "Data analysis", "Annotation", "Dialogue evaluation" ], "hardSkillsList" : [ "Annotation", "Data markup", "Quality checks", "Logical decisions", "Tooling bug reporting" ], "softSkillsList" : [ "Individuality", "Creative mind" ], "hardSkills" : [ { "name" : "Annotation", "level" : "intermediate" }, { "name" : "Data markup", "level" : "intermediate" }, { "name" : "Quality checks", "level" : "intermediate" }, { "name" : "Logical decisions", "level" : "intermediate" }, { "name" : "Tooling bug reporting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Individuality" }, { "name" : "Creative mind" } ], "majorSkills" : "Data annotation, Content generation, LLM training data", "majorSkillsList" : [ "Data annotation", "Content generation", "LLM training data" ], "coreResponsibilities" : "Create training data, Annotate complex training data, Write grammatically correct texts, Perform audits, Perform quality checks, Make sound judgments, Make logical decisions, Dive deep into issues, Implement solutions independently, Identify tooling bugs, Report tooling bugs, Suggest tooling improvements, Undertake foundational labeling functions, Evaluate dialogue on speech data, Evaluate dialogue on text data, Evaluate dialogue on audio data, Evaluate dialogue on video data", "teamCollaboration" : "Working closely with scientists; Working closely with engineers; Part of a diverse team", "domainKnowledge" : "Large Language Models; Technical content; Science content; U.S. culture; U.S. society; U.S. norms", "domainList" : [ "large-language-models", "technical-content", "science-content", "u-s-culture", "u-s-society", "u-s-norms" ], "domainSpecificKnowledge" : [ "Large Language Models", "Technical content", "Science content", "U.S. culture", "U.S. society", "U.S. norms" ], "communicationSkills" : "Writing; Reading; Comprehension", "documentationSkills" : "Data markup", "innovationCreativity" : "Creative mind", "problemSolvingSkills" : "Identify tooling bugs; Implement solutions", "specialRequirements" : "Fixed Contractual Role, Strict confidentiality", "qualificationsBasic" : "2+ yrs experience with written language data, Annotation experience, Data markup experience, Research skills, Understand complex topics, Synthesize multiple understanding, Basic academic integrity understanding, Plagiarism understanding, Excellent attention to details, Ability to focus for long period, Effectively write and evaluate diverse subject matter, Adapt writing style to guidelines, Adapt to fast-paced environments", "qualificationsPreferred" : "Proficiency in English (C1 level), Experience creating complex data for LLM training, Experience evaluating LLM data, Understanding of U.S. culture, Comfort with high-school level STEM, Familiarity with HTML, Familiarity with XML, Familiarity with Markdown, Familiarity with JSON, Familiarity with CSV, Familiarity with RTF, Working knowledge of Python, Working knowledge of scripting language, Familiarity with regular expressions syntax, Familiarity with Large Language Models, Comfort with sensitive content annotation", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. Note: This is a Fixed Contractual Role Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. - Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines - Performing audits and quality checks of tasks completed by other specialists, if required - Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements 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: - Bachelor’s degree in a relevant field or equivalent professional experience - 2+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup. - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. - Excellent attention to details and ability to focus for a long period of time - Ability to effectively write and evaluate diverse subject matter across various domains* - Ability to adapt writing style to suit various style guidelines and customers. - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications: - Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). - Experience with creating complex data for LLM training and evaluation - Strong understanding of U.S.-based culture, society, and norms. - Comfortable with high-school level STEM* - Familiarity with common markup languages such as HTML, XML, Markdown - Familiarity with common standard text formats such as JSON, CSV, RTF - Working knowledge of Python or another scripting language - Familiarity with regular expressions syntax - Familiarity with Large Language Models - Comfort in annotation work that may include sensitive content 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 Content Expert II at ADCI MAA 12 SEZ. Skills: Data annotation, Content generation, LLM training data. Create training data. Annotate complex training data", "postedDate" : "2026-06-13T09:02:47.237", "createdAt" : "2026-06-13T09:02:47.237", "lastUpdated" : "2026-06-14T23:49:10.000", "ingestTimestamp" : "2026-06-13T09:02:47.237", "mongoId" : "68ed10a470f0b99d58e7b526", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3105187/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Annotation", "Data markup", "Quality checks", "Logical decisions", "Tooling bug reporting", "Individuality", "Creative mind", "Data annotation", "Content generation", "LLM training data", "Data analysis", "Dialogue evaluation", "Large Language Models", "Technical content", "Science content", "U.S. culture", "U.S. society", "U.S. norms" ], "skillCount" : 18, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "_score" : 837.9468, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "68c2e420f8b1b0376634c4a0", "title" : "AI Content Expert II", "company" : "ADCI HYD 16 SEZ - H83", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for AI Content Expert II in Hyderabad, India, adjusted for mid-seniority and full-time employment in the technology industry." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T01:03:04.245", "fingerprint" : "f48ea1fb6a6bd3b5d3b2a744a895bfe3f25590a708c7cb63b9e66d42614686a5", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3078266/apply", "externalId" : "bd234d75-6c36-43fb-812d-0d44f4ecaa04", "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" : "Bachelor's", "experienceMinYears" : 2, "technicalSkills" : "Python, HTML, XML, Markdown, JSON, CSV, RTF, Regular expressions", "professionalSkills" : [ "Content generation", "Data analysis", "Annotation", "Quality checks", "Guideline review", "Tooling improvement" ], "hardSkillsList" : [ "Written language data", "Data markup", "Complex topics synthesis", "Academic integrity", "Subject matter evaluation", "Style adaptation" ], "softSkillsList" : [ "Individuality", "Creative mind" ], "hardSkills" : [ { "name" : "Written language data", "level" : "intermediate" }, { "name" : "Data markup", "level" : "intermediate" }, { "name" : "Complex topics synthesis", "level" : "intermediate" }, { "name" : "Academic integrity", "level" : "intermediate" }, { "name" : "Subject matter evaluation", "level" : "intermediate" }, { "name" : "Style adaptation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Individuality" }, { "name" : "Creative mind" } ], "majorSkills" : "Data annotation, Content generation, LLM training data", "majorSkillsList" : [ "Data annotation", "Content generation", "LLM training data" ], "coreResponsibilities" : "Create training data, Annotate training data, Write grammatically correct texts, Perform audits, Perform quality checks, Make sound judgments, Make logical decisions, Dive deep into issues, Implement solutions independently, Identify tooling bugs, Report tooling bugs, Suggest tooling improvements, Undertake foundational labeling functions, Evaluate dialogue on speech data, Evaluate dialogue on text data, Evaluate dialogue on audio data, Evaluate dialogue on video data", "teamCollaboration" : "Working closely with scientists; Working closely with engineers; Part of a diverse team", "domainKnowledge" : "Large Language Models; Generative AI", "domainList" : [ "large-language-models", "generative-ai" ], "domainSpecificKnowledge" : [ "Large Language Models", "Generative AI" ], "communicationSkills" : "Writing; Reading; Comprehension", "innovationCreativity" : "Creative mind", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "Fixed term contractual role, 12 months", "qualificationsBasic" : "Bachelor's degree or equivalent professional experience, 2+ year of experience with written language data, Experience with annotation, Experience with data markup, Research skills, Excellent attention to details, Ability to focus for long periods, Ability to effectively write and evaluate diverse subject matter, Ability to adapt writing style, Ability to adapt to fast-paced environments", "qualificationsPreferred" : "Proficiency in English (C1 level), Experience creating complex data for LLM training, Experience creating complex data for LLM evaluation, Understanding of U.S.-based culture, Comfort with high-school level STEM, Familiarity with HTML, Familiarity with XML, Familiarity with Markdown, Familiarity with JSON, Familiarity with CSV, Familiarity with RTF, Working knowledge of Python, Working knowledge of another scripting language, Familiarity with regular expressions syntax, Familiarity with Large Language Models, Comfort in annotation work with sensitive content", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. - Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines - Performing audits and quality checks of tasks completed by other specialists, if required - Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements 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: - Bachelor’s degree in a relevant field or equivalent professional experience - 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. - Excellent attention to details and ability to focus for a long period of time - Ability to effectively write and evaluate diverse subject matter across various domains* - Ability to adapt writing style to suit various style guidelines and customers. - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications: - Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). - Experience with creating complex data for LLM training and evaluation - Strong understanding of U.S.-based culture, society, and norms. - Comfortable with high-school level STEM* - Familiarity with common markup languages such as HTML, XML, Markdown - Familiarity with common standard text formats such as JSON, CSV, RTF - Working knowledge of Python or another scripting language - Familiarity with regular expressions syntax - Familiarity with Large Language Models - Comfort in annotation work that may include sensitive content 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 Content Expert II at ADCI HYD 16 SEZ - H83. Skills: Data annotation, Content generation, LLM training data. Create training data. Annotate training data", "postedDate" : "2026-06-13T07:24:46.472", "createdAt" : "2026-06-13T07:24:46.472", "lastUpdated" : "2026-06-15T01:03:04.245", "ingestTimestamp" : "2026-06-13T07:24:46.472", "mongoId" : "68c2e420f8b1b0376634c4a0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3078266/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Written language data", "Data markup", "Complex topics synthesis", "Academic integrity", "Subject matter evaluation", "Style adaptation", "Individuality", "Creative mind", "Data annotation", "Content generation", "LLM training data", "Data analysis", "Annotation", "Quality checks", "Guideline review", "Tooling improvement", "Large Language Models", "Generative AI" ], "skillCount" : 18, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "_score" : 835.5069, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69164d8270f0b99d586f2331", "title" : "AI Content Expert II", "company" : "Amazon.com Services LLC", "industry" : "Editorial, Writing, Content Management, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 40400.0, "max" : 86500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, Massachusetts, USA", "locations" : [ "Boston, Massachusetts, USA" ], "timestamp" : "2026-06-14T22:40:24.422", "fingerprint" : "345d9ff5e32e8471442aabeb638764d369238a5570fefe2de49999817d456c73", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3120956/apply", "externalId" : "8c5ad227-0975-4738-a8bb-39495446fff4", "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" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python", "professionalSkills" : [ "Data labeling", "Data evaluation", "Content generation", "Data analysis" ], "hardSkillsList" : [ "Annotation", "Content generation", "Data analysis", "Quality checks", "Logical decisions" ], "softSkillsList" : [ "Curiosity", "Initiative", "Creativity" ], "hardSkills" : [ { "name" : "Annotation", "level" : "intermediate" }, { "name" : "Content generation", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Quality checks", "level" : "intermediate" }, { "name" : "Logical decisions", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curiosity" }, { "name" : "Initiative" }, { "name" : "Creativity" } ], "majorSkills" : "Data labeling, LLM capabilities, Content generation", "majorSkillsList" : [ "Data labeling", "LLM capabilities", "Content generation" ], "coreResponsibilities" : "Create training data, Annotate training data, Write grammatically correct texts, Perform audits, Perform quality checks, Make sound judgments, Make logical decisions, Dive deep into issues, Implement solutions independently, Identify tooling bugs, Report tooling bugs, Suggest tooling improvements", "teamCollaboration" : "Diverse team", "domainKnowledge" : "Large Language Models; Generative AI", "domainList" : [ "large-language-models", "generative-ai" ], "domainSpecificKnowledge" : [ "Large Language Models", "Generative AI" ], "innovationCreativity" : "Build the future; Generative curiosity", "problemSolvingSkills" : "Implement solutions; Identify issues", "specialRequirements" : "Strict adherence to confidentiality, Adherence to information-security policies", "outcomesObjectives" : "Improve LLM capabilities; Expand LLM capabilities", "qualificationsBasic" : "Advanced-level proficiency in English (C1+), Experience with written language data, Experience with annotation, Experience with data markup", "qualificationsPreferred" : "Bachelor's degree in Computer Science, Bachelor's degree in Data Science, Bachelor's degree in Business Operations, Adapt well to fast-paced environments, Manage stakeholder relationships, Working knowledge of Python, Working knowledge of scripting language, Advanced-level proficiency in multiple languages (C1+)", "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! Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand our proprietary Large Language Models (LLMs) capabilities. The Amazon Artificial General Intelligence (AGI) team is hiring an AI Content Expert—a role some companies describe as a Machine Learning Data Associate (MLDA) or AI Content Writer. You’ll perform foundational data labeling and evaluation, reviewing and scoring dialogues and other interactions across speech, text, audio, and video. The work requires sustained focus, effective multitasking, exceptional attention to detail, and strict adherence to confidentiality and Amazon’s information-security policies. You’ll join a diverse team building practical, useful generative AI; curiosity, initiative, and creativity will help you thrive. Key job responsibilities Creating and annotating high-quality training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements 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 speech recognition capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data labeling services to our customers, that enables them to build advanced ML models. Basic Qualifications: Advanced-level proficiency in English (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards). Proven experience working with written language data, including experience with annotation, and other forms of data markup. Preferred Qualifications: Bachelor's degree in Computer Science, Data Science, Business Operations, or related field Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Experience managing stakeholder relationships across departments Working knowledge of Python or another scripting language Advanced-level proficiency in multiple languages (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards) 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 $40,400/year in our lowest geographic market up to $86,500/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" : "AI Content Expert II at Amazon.com Services LLC. Skills: Data labeling, LLM capabilities, Content generation. Create training data. Annotate training data", "postedDate" : "2026-06-12T23:00:56.410", "createdAt" : "2026-06-12T23:00:56.410", "lastUpdated" : "2026-06-14T22:40:24.422", "ingestTimestamp" : "2026-06-12T23:00:56.410", "mongoId" : "69164d8270f0b99d586f2331", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3120956/apply", "salaryAnnualMin" : 40400, "salaryAnnualMax" : 86500, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Annotation", "Content generation", "Data analysis", "Quality checks", "Logical decisions", "Curiosity", "Initiative", "Creativity", "Data labeling", "LLM capabilities", "Data evaluation", "Large Language Models", "Generative AI" ], "skillCount" : 13, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 835.0574, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "69164d8270f0b99d586f232f", "title" : "AI Content Expert II", "company" : "Amazon.com Services LLC", "industry" : "Editorial, Writing, Content Management, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 40400.0, "max" : 86500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, Massachusetts, USA", "locations" : [ "Boston, Massachusetts, USA" ], "timestamp" : "2026-06-15T00:14:37.245", "fingerprint" : "5d87527cd2e3105a8cf84a160921dcda1333aeb278f64f9182a6eb71648fcf80", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3120954/apply", "externalId" : "1fc1dc61-9814-4b7f-bda9-16199e2732ec", "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" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python", "professionalSkills" : [ "Content generation", "Data analysis", "Data labeling", "Data evaluation" ], "hardSkillsList" : [ "Annotation", "Content generation", "Data analysis", "Data labeling", "Data evaluation", "Quality checks", "Information security" ], "softSkillsList" : [ "Curiosity", "Initiative", "Creativity" ], "hardSkills" : [ { "name" : "Annotation", "level" : "intermediate" }, { "name" : "Content generation", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data labeling", "level" : "intermediate" }, { "name" : "Data evaluation", "level" : "intermediate" }, { "name" : "Quality checks", "level" : "intermediate" }, { "name" : "Information security", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curiosity" }, { "name" : "Initiative" }, { "name" : "Creativity" } ], "majorSkills" : "Data annotation, Content generation, LLM capabilities", "majorSkillsList" : [ "Data annotation", "Content generation", "LLM capabilities" ], "coreResponsibilities" : "Create training data, Annotate training data, Write grammatically correct texts, Perform audits, Perform quality checks, Make sound judgments, Make logical decisions, Dive deep into issues, Implement solutions independently, Identify tooling bugs, Report tooling bugs, Suggest tooling improvements", "teamCollaboration" : "Diverse team", "domainKnowledge" : "Generative AI; Large Language Models; Speech recognition", "domainList" : [ "generative-ai", "large-language-models", "speech-recognition" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models", "Speech recognition" ], "innovationCreativity" : "Generative curiosity", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "Strict adherence to confidentiality, Adherence to information-security policies", "outcomesObjectives" : "Improve LLM capabilities; Expand LLM capabilities", "qualificationsBasic" : "Advanced-level proficiency in English (C1+), Experience working with written language data, Experience with annotation, Experience with other forms of data markup", "qualificationsPreferred" : "Bachelor's degree in Computer Science, Bachelor's degree in Data Science, Bachelor's degree in Business Operations, Ability to adapt well to fast-paced environments, Experience managing stakeholder relationships, Working knowledge of Python, Working knowledge of another scripting language, Advanced-level proficiency in multiple languages (C1+)", "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! Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand our proprietary Large Language Models (LLMs) capabilities. The Amazon Artificial General Intelligence (AGI) team is hiring an AI Content Expert—a role some companies describe as a Machine Learning Data Associate (MLDA) or AI Content Writer. You’ll perform foundational data labeling and evaluation, reviewing and scoring dialogues and other interactions across speech, text, audio, and video. The work requires sustained focus, effective multitasking, exceptional attention to detail, and strict adherence to confidentiality and Amazon’s information-security policies. You’ll join a diverse team building practical, useful generative AI; curiosity, initiative, and creativity will help you thrive. Key job responsibilities Creating and annotating high-quality training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements 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 speech recognition capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data labeling services to our customers, that enables them to build advanced ML models. Basic Qualifications: Advanced-level proficiency in English (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards). Proven experience working with written language data, including experience with annotation, and other forms of data markup. Preferred Qualifications: Bachelor's degree in Computer Science, Data Science, Business Operations, or related field Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Experience managing stakeholder relationships across departments Working knowledge of Python or another scripting language Advanced-level proficiency in multiple languages (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards) 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 $40,400/year in our lowest geographic market up to $86,500/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" : "AI Content Expert II at Amazon.com Services LLC. Skills: Data annotation, Content generation, LLM capabilities. Create training data. Annotate training data", "postedDate" : "2026-06-12T22:57:04.545", "createdAt" : "2026-06-12T22:57:04.545", "lastUpdated" : "2026-06-15T00:14:37.245", "ingestTimestamp" : "2026-06-12T22:57:04.545", "mongoId" : "69164d8270f0b99d586f232f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3120954/apply", "salaryAnnualMin" : 40400, "salaryAnnualMax" : 86500, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Annotation", "Content generation", "Data analysis", "Data labeling", "Data evaluation", "Quality checks", "Information security", "Curiosity", "Initiative", "Creativity", "Data annotation", "LLM capabilities", "Generative AI", "Large Language Models", "Speech recognition" ], "skillCount" : 15, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 834.9428, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "68c2e425f8b1b0376634c62f", "title" : "AI Content Expert II", "company" : "ADCI HYD 16 SEZ - H83", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for AI Content Expert II in Hyderabad, India, adjusted for mid-seniority and full-time employment in the technology industry." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T02:54:46.300", "fingerprint" : "ae45965f18924f383c8cebf3eb38af0568c34e24818b6a6f66069351b0ff725c", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3077494/apply", "externalId" : "31c0b50d-8420-4573-937f-212bb5b4d45b", "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" : "Bachelor's", "experienceMinYears" : 2, "technicalSkills" : "Python, HTML, XML, Markdown, JSON, CSV, RTF, UNIX commands, Large Language Models", "professionalSkills" : [ "Content generation", "Data analysis", "Annotation" ], "hardSkillsList" : [ "Grammar", "Quality checks", "Logical decisions", "Problem solving" ], "softSkillsList" : [ "Individuality", "Creative mind" ], "hardSkills" : [ { "name" : "Grammar", "level" : "intermediate" }, { "name" : "Quality checks", "level" : "intermediate" }, { "name" : "Logical decisions", "level" : "intermediate" }, { "name" : "Problem solving", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Individuality" }, { "name" : "Creative mind" } ], "majorSkills" : "Data annotation, LLM training data, Content generation", "majorSkillsList" : [ "Data annotation", "LLM training data", "Content generation" ], "coreResponsibilities" : "Create training data, Annotate complex training data, Write grammatically correct texts, Perform audits and quality checks, Make sound judgments, Dive deep into issues, Implement solutions independently, Identify and report tooling bugs, Suggest tooling improvements, Undertake foundational labeling functions, Evaluate dialogue on speech data, Evaluate dialogue on text data, Evaluate dialogue on audio data, Evaluate dialogue on video data", "teamCollaboration" : "Working closely with scientists; Working closely with engineers; Part of a diverse team", "domainKnowledge" : "Large Language Models", "domainList" : [ "large-language-models" ], "domainSpecificKnowledge" : [ "Large Language Models" ], "communicationSkills" : "Writing; Reading; Comprehension", "innovationCreativity" : "Creative mind", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "Fixed term contract (12 months)", "outcomesObjectives" : "Deliver high-quality training data; Improve LLM capabilities; Expand LLM capabilities", "qualificationsBasic" : "Bachelor's degree or equivalent experience, 2+ years experience with written language data, Understanding of U.S. culture and norms, Research skills, Basic academic integrity understanding, Excellent attention to details, Ability to focus for long periods, Comfortable with high-school level STEM, Ability to write and evaluate diverse subject matter, Ability to adapt writing style, Ability to adapt to fast-paced environments", "qualificationsPreferred" : "Proficiency in English (C1 level CEFR), Experience creating complex data for LLM training, 1+ year(s) experience with command line interfaces, Familiarity with common markup languages, Familiarity with common standard text formats, Working knowledge of Python or scripting language, Familiarity with regular expressions syntax, Familiarity with Large Language Models, Comfort in annotation work with sensitive content", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. - Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines - Performing audits and quality checks of tasks completed by other specialists, if required - Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements 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: - Bachelor’s degree in a relevant field or equivalent professional experience - 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. - Strong understanding of U.S.-based culture, society, and norms. - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. - Excellent attention to details and ability to focus for a long period of time - Comfortable with high-school level STEM* - Ability to effectively write and evaluate diverse subject matter across various domains* - Ability to adapt writing style to suit various style guidelines and customers. - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications: - Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). - Experience with creating complex data for LLM training and evaluation - 1+ year(s) of experience working with command line interfaces and basic UNIX commands - Familiarity with common markup languages such as HTML, XML, Markdown - Familiarity with common standard text formats such as JSON, CSV, RTF - Working knowledge of Python or another scripting language - Familiarity with regular expressions syntax - Familiarity with Large Language Models - Comfort in annotation work that may include sensitive content 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 Content Expert II at ADCI HYD 16 SEZ - H83. Skills: Data annotation, LLM training data, Content generation. Create training data. Annotate complex training data", "postedDate" : "2026-06-13T07:14:43.168", "createdAt" : "2026-06-13T07:14:43.168", "lastUpdated" : "2026-06-15T02:54:46.300", "ingestTimestamp" : "2026-06-13T07:14:43.168", "mongoId" : "68c2e425f8b1b0376634c62f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3077494/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Grammar", "Quality checks", "Logical decisions", "Problem solving", "Individuality", "Creative mind", "Data annotation", "LLM training data", "Content generation", "Data analysis", "Annotation", "Large Language Models" ], "skillCount" : 12, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "_score" : 834.4974, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "68ed10ad70f0b99d58e7bbc7", "title" : "Content Specialist, Digital Studios", "company" : "Amazon UK Services Ltd.", "industry" : "Audio / Video / Photography Production, Design, Retail", "salary" : { "min" : 32000.0, "max" : 45000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Content Specialist in London, UK, adjusted for the e-commerce industry and Amazon's company size." }, "location" : "London, England, GBR", "locations" : [ "London, England, GBR" ], "timestamp" : "2026-06-15T04:27:24.125", "fingerprint" : "7b0f6872b79d7c2f95343ade9280bb03ce141928fd9f300fbc54d03b8feca9c5", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3104786/apply", "externalId" : "b3f11f8a-2808-4ddf-ad2f-9276a4c24819", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 1, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Gen-AI", "professionalSkills" : [ "Content generation", "Virtual production", "Customer experience", "E-commerce" ], "hardSkillsList" : [ "2D Image Editing", "Video Editing" ], "hardSkills" : [ { "name" : "2D Image Editing", "level" : "intermediate" }, { "name" : "Video Editing", "level" : "intermediate" } ], "majorSkills" : "Gen-AI content creation, Virtual production, Customer experience", "majorSkillsList" : [ "Gen-AI content creation", "Virtual production", "Customer experience" ], "coreResponsibilities" : "Support Gen-AI content generation initiatives, Support virtual production projects, Assist in hybrid CX experiments, Assist in solutions for e-commerce, Help troubleshoot technical challenges, Execute content creation, Maintain quality standards, Maintain scalability standards, Collaborate with team members, Implement automation, Implement efficiency improvements, Support workflow optimization initiatives, Follow technical best practices, Implement technical best practices, Maintain documentation of processes, Participate in research for workflow improvements", "teamCollaboration" : "With team members; With Internal & External Stakeholders", "domainKnowledge" : "3D technologies; Gen-AI technologies", "domainList" : [ "3d-technologies", "gen-ai-technologies" ], "domainSpecificKnowledge" : [ "3D technologies", "Gen-AI technologies" ], "toolProficiency" : [ "Photoshop", "Illustrator", "InDesign", "MS Word", "PowerPoint", "Excel", "Google docs", "Google sheets" ], "documentationSkills" : "Maintain documentation", "innovationCreativity" : "Creating innovative experiences", "problemSolvingSkills" : "Problem solving; Troubleshoot technical challenges", "qualificationsBasic" : "Experience in design, Available online portfolio, Experience working with design tools, Enrolled in a Bachelor's degree, Experience in ownership of projects, Communicating timelines and executing independently, Knowledge of creation of content end to end, Experience in problem solving, Experience in data analytics, Knowledge of MS Word, PowerPoint, Excel, Google docs and sheets, 1-2 years of working experience in 2D Image and Video Editing, 1-2 years of working experience in Gen-AI content creation, 1-2 years of working experience in virtual production, 1-2 years of working experience in related field", "qualificationsPreferred" : "Knowledge of user-centered design methodologies, Knowledge of usability principles, Knowledge of web-based information architecture and design, Experience working in a collaborative team, Experience working directly with developers for implementation of designs, Experience in photo and video production, Experience in post production, Experience in lighting, Experience in composition, Experience in color quality, Experience in aesthetics, Experience working in a production environment", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We're looking for a Content Specialist who can work in Gen-AI content generation, virtual production, and hybrid customer experience (CX) experiments under the guidance of senior team members and managers. This role will support creating innovative experiences using various 3D and Gen-AI technologies for e-commerce. The Content Specialist will work closely with team members to implement production techniques and ensure compatibility with existing platforms. Key job responsibilities - Support Gen-AI content generation initiatives and virtual production projects - Assist in hybrid CX experiments and solutions for e-commerce - Help troubleshoot technical challenges with Internal & External Stakeholders - Execute content creation while maintaining quality and scalability standards - Collaborate with team members to implement automation and efficiency improvements - Support workflow optimization initiatives - Follow and implement technical best practices - Maintain documentation of processes - Participate in research for workflow improvements Basic Qualifications: - Experience in design - Have an available online portfolio - Experience working with a variety of design tools such as Photoshop, Illustrator, and InDesign - Are enrolled in a Bachelor's degree - Experience in ownership of projects and communicating timelines and executing independently - Knowledge of creation of content end to end - Experience in problem solving and data analytics - Knowledge of MS Word, PowerPoint, Excel, Google docs and sheets - 1-2 years of working experience in 2D Image and Video Editing, Gen-AI content creation, virtual production, or related field Preferred Qualifications: - Knowledge of user-centered design methodologies, usability principles, web-based information architecture and design - Experience working in a collaborative team and working directly with developers for implementation of designs - Experience in photo and video production, including post production, lighting, composition, color quality, and aesthetics - Experience working in a production environment 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" : "Content Specialist, Digital Studios at Amazon UK Services Ltd.. Skills: Gen-AI content creation, Virtual production, Customer experience. Support Gen-AI content generation initiatives. Support virtual production projects", "postedDate" : "2026-06-13T12:48:27.882", "createdAt" : "2026-06-13T12:48:27.882", "lastUpdated" : "2026-06-15T04:27:24.125", "ingestTimestamp" : "2026-06-13T12:48:27.882", "mongoId" : "68ed10ad70f0b99d58e7bbc7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3104786/apply", "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "2D Image Editing", "Video Editing", "Gen-AI content creation", "Virtual production", "Customer experience", "Content generation", "E-commerce", "3D technologies", "Gen-AI technologies", "Photoshop", "Illustrator", "InDesign", "MS Word", "PowerPoint", "Excel", "Google docs", "Google sheets" ], "skillCount" : 17, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "_score" : 833.9983, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "68c2e425f8b1b0376634c629", "title" : "AI Content Expert II", "company" : "ADCI HYD 16 SEZ - H83", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for AI Content Expert II in Hyderabad, India, adjusted for mid-seniority and full-time employment in the technology industry." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T02:56:12.702", "fingerprint" : "23b5dc429c2a10ddec1cfca60eaf8ca198b87a3353f4680ecc4d3f9567bdbcbb", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3077480/apply", "externalId" : "73c412e7-cad9-4f19-9438-a21c6f4ab03d", "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" : "Bachelor's", "experienceMinYears" : 2, "technicalSkills" : "Python, HTML, XML, Markdown, JSON, CSV, RTF, UNIX commands, Large Language Models", "professionalSkills" : [ "Content generation", "Data analysis", "Annotation" ], "hardSkillsList" : [ "Grammar", "Quality checks", "Logical decisions", "Problem solving" ], "softSkillsList" : [ "Individuality", "Creative mind" ], "hardSkills" : [ { "name" : "Grammar", "level" : "intermediate" }, { "name" : "Quality checks", "level" : "intermediate" }, { "name" : "Logical decisions", "level" : "intermediate" }, { "name" : "Problem solving", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Individuality" }, { "name" : "Creative mind" } ], "majorSkills" : "Data annotation, LLM training data, Content generation", "majorSkillsList" : [ "Data annotation", "LLM training data", "Content generation" ], "coreResponsibilities" : "Create training data, Annotate complex training data, Write grammatically correct texts, Perform audits and quality checks, Make sound judgments, Dive deep into issues, Implement solutions independently, Identify and report tooling bugs, Suggest tooling improvements, Undertake foundational labeling functions, Evaluate dialogue on speech data, Evaluate dialogue on text data, Evaluate dialogue on audio data, Evaluate dialogue on video data", "teamCollaboration" : "Working closely with scientists; Working closely with engineers; Part of a diverse team", "domainKnowledge" : "Large Language Models", "domainList" : [ "large-language-models" ], "domainSpecificKnowledge" : [ "Large Language Models" ], "communicationSkills" : "Writing; Reading; Comprehension", "innovationCreativity" : "Creative mind", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "Fixed term contract (12 months)", "outcomesObjectives" : "Deliver high-quality training data; Improve LLM capabilities; Expand LLM capabilities", "qualificationsBasic" : "Bachelor's degree or equivalent experience, 2+ years experience with written language data, Understanding of U.S. culture and norms, Research skills, Basic academic integrity understanding, Excellent attention to details, Ability to focus for long periods, Comfortable with high-school level STEM, Ability to write and evaluate diverse subject matter, Ability to adapt writing style, Ability to adapt to fast-paced environments", "qualificationsPreferred" : "Proficiency in English (C1 level CEFR), Experience creating complex data for LLM training, 1+ year(s) experience with command line interfaces, Familiarity with common markup languages, Familiarity with common standard text formats, Working knowledge of Python or scripting language, Familiarity with regular expressions syntax, Familiarity with Large Language Models, Comfort in annotation work with sensitive content", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. - Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines - Performing audits and quality checks of tasks completed by other specialists, if required - Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements 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: - Bachelor’s degree in a relevant field or equivalent professional experience - 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. - Strong understanding of U.S.-based culture, society, and norms. - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. - Excellent attention to details and ability to focus for a long period of time - Comfortable with high-school level STEM* - Ability to effectively write and evaluate diverse subject matter across various domains* - Ability to adapt writing style to suit various style guidelines and customers. - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications: - Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). - Experience with creating complex data for LLM training and evaluation - 1+ year(s) of experience working with command line interfaces and basic UNIX commands - Familiarity with common markup languages such as HTML, XML, Markdown - Familiarity with common standard text formats such as JSON, CSV, RTF - Working knowledge of Python or another scripting language - Familiarity with regular expressions syntax - Familiarity with Large Language Models - Comfort in annotation work that may include sensitive content 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 Content Expert II at ADCI HYD 16 SEZ - H83. Skills: Data annotation, LLM training data, Content generation. Create training data. 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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! Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand our proprietary Large Language Models (LLMs) capabilities. The Amazon Artificial General Intelligence (AGI) team is hiring an AI Content Expert—a role some companies describe as a Machine Learning Data Associate (MLDA) or AI Content Writer. You’ll perform foundational data labeling and evaluation, reviewing and scoring dialogues and other interactions across speech, text, audio, and video. The work requires sustained focus, effective multitasking, exceptional attention to detail, and strict adherence to confidentiality and Amazon’s information-security policies. You’ll join a diverse team building practical, useful generative AI; curiosity, initiative, and creativity will help you thrive. Key job responsibilities Creating and annotating high-quality training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements 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 speech recognition capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data labeling services to our customers, that enables them to build advanced ML models. Basic Qualifications: Advanced-level proficiency in English (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards). Proven experience working with written language data, including experience with annotation, and other forms of data markup. Preferred Qualifications: Bachelor's degree in Computer Science, Data Science, Business Operations, or related field Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Experience managing stakeholder relationships across departments Working knowledge of Python or another scripting language Advanced-level proficiency in multiple languages (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards) 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 $40,400/year in our lowest geographic market up to $86,500/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. 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You’ll perform foundational data labeling and evaluation, reviewing and scoring dialogues and other interactions across speech, text, audio, and video. The work requires sustained focus, effective multitasking, exceptional attention to detail, and strict adherence to confidentiality and Amazon’s information-security policies. You’ll join a diverse team building practical, useful generative AI; curiosity, initiative, and creativity will help you thrive. Key job responsibilities Creating and annotating high-quality training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements 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 speech recognition capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data labeling services to our customers, that enables them to build advanced ML models. Basic Qualifications: Advanced-level proficiency in English (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards). Proven experience working with written language data, including experience with annotation, and other forms of data markup. Preferred Qualifications: Bachelor's degree in Computer Science, Data Science, Business Operations, or related field Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Experience managing stakeholder relationships across departments Working knowledge of Python or another scripting language Advanced-level proficiency in multiple languages (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards) 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 $40,400/year in our lowest geographic market up to $86,500/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. 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The AGI organization provides speech recognition capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data labeling services to our customers, that enables them to build advanced ML models. Basic Qualifications: Advanced-level proficiency in English (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards). Proven experience working with written language data, including experience with annotation, and other forms of data markup. Preferred Qualifications: Bachelor's degree in Computer Science, Data Science, Business Operations, or related field Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Experience managing stakeholder relationships across departments Working knowledge of Python or another scripting language Advanced-level proficiency in multiple languages (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards) 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. 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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" : "AI Content Expert II at Amazon.com Services LLC. Skills: Generative AI, Large language models, Data annotation. Create training data. 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Working closely with engineers; Part of a diverse team", "domainKnowledge" : "Large Language Models; Generative AI", "domainList" : [ "large-language-models", "generative-ai" ], "domainSpecificKnowledge" : [ "Large Language Models", "Generative AI" ], "communicationSkills" : "Writing; Reading; Comprehension", "innovationCreativity" : "Creative mind", "problemSolvingSkills" : "Issue identification; Solution implementation; Logical decision making", "specialRequirements" : "Fixed Term Contractual Role", "qualificationsBasic" : "2+ yrs experience with written language data, Experience with annotation, Experience with data markup, Research skills, Understand complex topics, Synthesize multiple understanding, Basic academic integrity understanding, Plagiarism understanding, Excellent attention to details, Ability to focus for long period, Effectively write and evaluate diverse subject matter, Adapt writing style to guidelines, Adapt to fast-paced environments", "qualificationsPreferred" : "Proficiency in English (C1 CEFR), Excellent writing skills, Excellent reading skills, Excellent comprehension skills, Experience creating complex data for LLM, Experience evaluating LLM data, Understanding of U.S. culture, Understanding of U.S. society, Understanding of U.S. norms, Comfort with high-school level STEM, Familiarity with HTML, Familiarity with XML, Familiarity with Markdown, Familiarity with JSON, Familiarity with CSV, Familiarity with RTF, Working knowledge of Python, Working knowledge of scripting language, Familiarity with regular expressions syntax, Familiarity with Large Language Models, Comfort in annotation work with sensitive content", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. Note: This is a Fixed Term Contractual Role Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. - Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines - Performing audits and quality checks of tasks completed by other specialists, if required - Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements 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: - Bachelor’s degree in a relevant field or equivalent professional experience - 2+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup. - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. - Excellent attention to details and ability to focus for a long period of time - Ability to effectively write and evaluate diverse subject matter across various domains* - Ability to adapt writing style to suit various style guidelines and customers. - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications: - Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). - Experience with creating complex data for LLM training and evaluation - Strong understanding of U.S.-based culture, society, and norms. - Comfortable with high-school level STEM* - Familiarity with common markup languages such as HTML, XML, Markdown - Familiarity with common standard text formats such as JSON, CSV, RTF - Working knowledge of Python or another scripting language - Familiarity with regular expressions syntax - Familiarity with Large Language Models - Comfort in annotation work that may include sensitive content 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 Content Expert II at ADCI MAA 12 SEZ. Skills: Data annotation, Content generation, LLM training data. Create training data. Make informed judgements", "postedDate" : "2026-06-13T03:50:53.301", "createdAt" : "2026-06-13T03:50:53.301", "lastUpdated" : "2026-06-15T02:26:47.463", "ingestTimestamp" : "2026-06-13T03:50:53.301", "mongoId" : "68c2e425f8b1b0376634c628", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3077481/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Complex data creation", "Grammatically correct writing", "Logical decision making", "Issue identification", "Solution implementation", "Dialogue evaluation", "Individuality", "Creative mind", "Data annotation", "Content generation", "LLM training data", "Data analysis", "Annotation", "Quality checks", "Tooling improvement", "Large Language Models", "Generative AI" ], "skillCount" : 17, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "_score" : 830.6644, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "68c2e425f8b1b0376634c634", "title" : "AI Content Expert II", "company" : "ADCI HYD 16 SEZ - H83", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 1150000.0, "max" : 1750000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for AI Content Expert II in Hyderabad, India, adjusted for mid-seniority and technology industry." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T02:12:45.662", "fingerprint" : "6ad22f8692f6033aed65ef268b435bbe4a6d9c9b7438a55d2e740ac08b696665", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3077476/apply", "externalId" : "3fc09356-d32e-4cc2-9a3e-e2f0d7e5a1c6", "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" : "Bachelor's", "experienceMinYears" : 2, "technicalSkills" : "Python, HTML, XML, Markdown, JSON, CSV, RTF, UNIX commands, Large Language Models", "professionalSkills" : [ "Content generation", "Data analysis", "Annotation", "Guideline review", "Tooling improvement", "Quality checks", "Logical decisions" ], "hardSkillsList" : [ "Grammar", "Text writing", "Data markup", "Information gathering", "Topic synthesis" ], "softSkillsList" : [ "Individuality", "Creative mind" ], "hardSkills" : [ { "name" : "Grammar", "level" : "intermediate" }, { "name" : "Text writing", "level" : "intermediate" }, { "name" : "Data markup", "level" : "intermediate" }, { "name" : "Information gathering", "level" : "intermediate" }, { "name" : "Topic synthesis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Individuality" }, { "name" : "Creative mind" } ], "majorSkills" : "Data annotation, Content generation, LLM training data", "majorSkillsList" : [ "Data annotation", "Content generation", "LLM training data" ], "coreResponsibilities" : "Create training data, Annotate complex training data, Write grammatically correct texts, Perform audits, Perform quality checks, Make sound judgments, Make logical decisions, Dive deep into issues, Implement solutions independently, Identify tooling bugs, Report tooling bugs, Suggest tooling improvements, Undertake foundational labeling functions, Evaluate dialogue on speech data, Evaluate dialogue on text data, Evaluate dialogue on audio data, Evaluate dialogue on video data", "teamCollaboration" : "Working closely with scientists; Working closely with engineers; Part of a diverse team", "domainKnowledge" : "Generative AI; Large Language Models", "domainList" : [ "generative-ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models" ], "communicationSkills" : "Writing; Reading; Comprehension", "innovationCreativity" : "Creative mind", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "Fixed term contract (12 months), Strict confidentiality, Follow Amazon policies", "qualificationsBasic" : "Bachelor's degree or equivalent experience, 2+ years experience with written language data, Understanding of U.S. culture and norms, Research skills, Basic academic integrity understanding, Excellent attention to details, Ability to focus for long periods, Comfortable with high-school level STEM, Ability to write and evaluate diverse subject matter, Ability to adapt writing style, Ability to adapt to fast-paced environments", "qualificationsPreferred" : "Proficiency in English (C1 level CEFR), Experience creating complex data for LLM training, 1+ year(s) experience with command line interfaces, Familiarity with common markup languages, Familiarity with common standard text formats, Working knowledge of Python or scripting language, Familiarity with regular expressions syntax, Familiarity with Large Language Models, Comfort in annotation work with sensitive content", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. - Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines - Performing audits and quality checks of tasks completed by other specialists, if required - Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements 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: - Bachelor’s degree in a relevant field or equivalent professional experience - 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. - Strong understanding of U.S.-based culture, society, and norms. - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. - Excellent attention to details and ability to focus for a long period of time - Comfortable with high-school level STEM* - Ability to effectively write and evaluate diverse subject matter across various domains* - Ability to adapt writing style to suit various style guidelines and customers. - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications: - Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). - Experience with creating complex data for LLM training and evaluation - 1+ year(s) of experience working with command line interfaces and basic UNIX commands - Familiarity with common markup languages such as HTML, XML, Markdown - Familiarity with common standard text formats such as JSON, CSV, RTF - Working knowledge of Python or another scripting language - Familiarity with regular expressions syntax - Familiarity with Large Language Models - Comfort in annotation work that may include sensitive content 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 Content Expert II at ADCI HYD 16 SEZ - H83. Skills: Data annotation, Content generation, LLM training data. Create training data. Annotate complex training data", "postedDate" : "2026-06-13T03:15:04.598", "createdAt" : "2026-06-13T03:15:04.598", "lastUpdated" : "2026-06-15T02:12:45.662", "ingestTimestamp" : "2026-06-13T03:15:04.598", "mongoId" : "68c2e425f8b1b0376634c634", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3077476/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Grammar", "Text writing", "Data markup", "Information gathering", "Topic synthesis", "Individuality", "Creative mind", "Data annotation", "Content generation", "LLM training data", "Data analysis", "Annotation", "Guideline review", "Tooling improvement", "Quality checks", "Logical decisions", "Generative AI", "Large Language Models" ], "skillCount" : 18, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "_score" : 828.1695, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69164db770f0b99d586f3921", "title" : "AI Content Expert II", "company" : "Amazon Development Center", "industry" : "Machine Learning Science, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 70000.0, "max" : 105000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level AI Content Expert II at a large technology company in The Hague, Netherlands, adjusted for industry and company size." }, "location" : "The Hague, South Holland, NLD", "locations" : [ "The Hague, South Holland, NLD" ], "timestamp" : "2026-06-15T01:52:40.902", "fingerprint" : "db7e115c600cac6f943ae5826b02e498cdc189939b500c30241299d4f690d7bf", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3119824/apply", "externalId" : "97ce685e-4900-4d69-851f-05b75b289c12", "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" : "High school or equivalent diploma", "technicalSkills" : "Python, Ruby, Perl, HTML, XML, Excel, UNIX", "professionalSkills" : [ "Data analysis", "Content generation", "Language annotation", "Data markup", "Quality checks", "Business requirements", "Functional specifications", "Use cases" ], "hardSkillsList" : [ "Grammar", "Writing styles", "STEM knowledge" ], "softSkillsList" : [ "Sound judgments", "Logical decisions" ], "hardSkills" : [ { "name" : "Grammar", "level" : "intermediate" }, { "name" : "Writing styles", "level" : "intermediate" }, { "name" : "STEM knowledge", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Sound judgments" }, { "name" : "Logical decisions" } ], "majorSkills" : "Large Language Models, Data annotation, Content generation", "majorSkillsList" : [ "Large Language Models", "Data annotation", "Content generation" ], "coreResponsibilities" : "Create training data, Annotate training data, Write grammatically correct texts, Adhere to provided guidelines, Perform audits, Perform quality checks, Make sound judgments, Make logical decisions, Dive deep into issues, Implement solutions independently, Identify tooling bugs, Report tooling bugs, Suggest tooling improvements, Review guidelines, Update guidelines, Identify tooling improvement opportunities, Engage in conversations regarding data quality", "teamCollaboration" : "Working closely with scientists; Working closely with engineers", "domainKnowledge" : "Large Language Models; Technical content; Science content; Computational linguistics; Language data processing; Semantics; Syntax; Dutch culture; U.S. culture", "domainList" : [ "large-language-models", "technical-content", "science-content", "computational-linguistics", "language-data-processing", "semantics", "syntax", "dutch-culture", "u-s-culture" ], "domainSpecificKnowledge" : [ "Large Language Models", "Technical content", "Science content", "Computational linguistics", "Language data processing", "Semantics", "Syntax", "Dutch culture", "U.S. culture" ], "toolProficiency" : [ "Excel" ], "communicationSkills" : "Written channels; Spoken channels", "documentationSkills" : "Business requirements documents; Functional specifications; Use cases", "problemSolvingSkills" : "Identify and report tooling bugs; Suggest improvements", "qualificationsBasic" : "High school or equivalent diploma, Experience with language annotation, Experience with data markup, Work proactively and independently, Meet deadlines, Deliver on projects and tasks, Experience communicating research findings, Experience communicating analysis, Experience writing business requirements documents, Experience writing functional specifications, Experience writing use cases, Experience working in a fast paced environment, Experience working in a quickly changing environment, Experience working in an international environment, Proficiency in English (C1 level), Good understanding of Dutch culture, Good understanding of U.S.-based culture, Comfortable with high-school level STEM", "qualificationsPreferred" : "Bachelor's degree, Experience in a professional field, Experience in military, Knowledge of HTML, Knowledge of XML, Knowledge of Excel, Knowledge of scripting languages, Experience in computational linguistics, Experience in language data processing, Experience in semantics, Experience in syntax, Proven experience with command line interfaces, Proven experience with basic UNIX commands, Familiarity with JSON, Familiarity with CSV, Familiarity with RTF", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models' (LLMs) capabilities. Key job responsibilities - Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines - Performing audits and quality checks of tasks completed by other specialists, if required - Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks - Diving deep into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements A day in the life As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. This is a Fixed term contract. About the team The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you. Basic Qualifications: - High school or equivalent diploma - Experience with language annotation and other forms of data markup - Can work proactively and independently, meet deadlines, and deliver on projects and tasks - Experience communicating research findings and analysis in both written and spoken channels - Experience writing business requirements documents, functional specifications, and use cases - Experience working in a fast paced, quickly changing or international environment - Proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). - Good understanding of Dutch and U.S.-based culture, society, and norms. - Comfortable with high-school level STEM Preferred Qualifications: - Bachelor's degree, or experience in a professional field or military - Knowledge of HTML, XML, and Excel - Knowledge of one or more scripting languages (e.g., Python, Ruby, Perl) - Experience in computational linguistics, language data processing, semantics, or syntax - Proven experience working with command line interfaces and basic UNIX commands - Familiarity with common standard text formats such as JSON, CSV, RTF 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 Content Expert II at Amazon Development Center. Skills: Large Language Models, Data annotation, Content generation. Create training data. Annotate training data", "postedDate" : "2026-06-13T01:03:33.201", "createdAt" : "2026-06-13T01:03:33.201", "lastUpdated" : "2026-06-15T01:52:40.902", "ingestTimestamp" : "2026-06-13T01:03:33.201", "mongoId" : "69164db770f0b99d586f3921", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3119824/apply", "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Grammar", "Writing styles", "STEM knowledge", "Sound judgments", "Logical decisions", "Large Language Models", "Data annotation", "Content generation", "Data analysis", "Language annotation", "Data markup", "Quality checks", "Business requirements", "Functional specifications", "Use cases", "Technical content", "Science content", "Computational linguistics", "Language data processing", "Semantics", "Syntax", "Dutch culture", "U.S. culture", "Excel" ], "skillCount" : 24, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "_score" : 826.78516, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "69164d7f70f0b99d586f228d", "title" : "AI Content Expert II", "company" : "Amazon.com Services LLC", "industry" : "Editorial, Writing, Content Management, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 40400.0, "max" : 86500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, Massachusetts, USA", "locations" : [ "Boston, Massachusetts, USA" ], "timestamp" : "2026-06-15T01:43:04.097", "fingerprint" : "5b0cf361c8368b534a458cc927893745856b08a75f714353afbfd2d1ca0cb5fc", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3120973/apply", "externalId" : "9f33e5b0-6137-4893-b0bf-2ab2c1b0a144", "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" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python", "professionalSkills" : [ "Content generation", "Data analysis" ], "hardSkillsList" : [ "Annotation", "Data markup", "Quality checks", "Logical decisions" ], "softSkillsList" : [ "Adaptability" ], "hardSkills" : [ { "name" : "Annotation", "level" : "intermediate" }, { "name" : "Data markup", "level" : "intermediate" }, { "name" : "Quality checks", "level" : "intermediate" }, { "name" : "Logical decisions", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Adaptability" } ], "majorSkills" : "Data annotation, LLM capabilities", "majorSkillsList" : [ "Data annotation", "LLM capabilities" ], "coreResponsibilities" : "Create training data, Annotate training data, Write grammatically correct texts, Perform audits, Perform quality checks, Make sound judgments, Make logical decisions, Dive deep into issues, Implement solutions independently, Identify tooling bugs, Report tooling bugs, Suggest tooling improvements", "teamCollaboration" : "Data Team", "domainKnowledge" : "Large Language Models; Generative AI", "domainList" : [ "large-language-models", "generative-ai" ], "domainSpecificKnowledge" : [ "Large Language Models", "Generative AI" ], "innovationCreativity" : "Make the box bigger", "problemSolvingSkills" : "Diving deep into issues; Implementing solutions", "outcomesObjectives" : "Improve LLM capabilities; Expand LLM capabilities", "qualificationsBasic" : "Advanced-level proficiency in English language (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards), Proven experience working with written language data, experience with annotation, other forms of data markup", "qualificationsPreferred" : "Bachelor's degree in Computer Science, Data Science, Business Operations, or related field, Ability to adapt well to fast-paced environments, Experience managing stakeholder relationships across departments, Working knowledge of Python or another scripting language, Advanced-level proficiency in multiple languages (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards)", "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! Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand our proprietary Large Language Models (LLMs) capabilities. Key job responsibilities • Creating and annotating high-quality training data in multiple modalities (text, image, video) on various topics, including technical or science-related content • Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines • Performing audits and quality checks of tasks completed by other specialists, if required • Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks • Diving deep into issues and implementing solutions independently • Identifying and reporting tooling bugs and suggesting improvements 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 speech recognition capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data labeling services to our customers, that enables them to build advanced ML models. Basic Qualifications: • Advanced-level proficiency in English language (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards) • Proven experience working with written language data, including experience with annotation, and other forms of data markup. Preferred Qualifications: • Bachelor's degree in Computer Science, Data Science, Business Operations, or related field • Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy • Experience managing stakeholder relationships across departments • Working knowledge of Python or another scripting language • Advanced-level proficiency in multiple languages (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards). 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 $40,400/year in our lowest geographic market up to $86,500/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" : "AI Content Expert II at Amazon.com Services LLC. Skills: Data annotation, LLM capabilities. Create training data. Annotate training data", "postedDate" : "2026-06-12T22:59:48.930", "createdAt" : "2026-06-12T22:59:48.930", "lastUpdated" : "2026-06-15T01:43:04.097", "ingestTimestamp" : "2026-06-12T22:59:48.930", "mongoId" : "69164d7f70f0b99d586f228d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3120973/apply", "salaryAnnualMin" : 40400, "salaryAnnualMax" : 86500, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Annotation", "Data markup", "Quality checks", "Logical decisions", "Adaptability", "Data annotation", "LLM capabilities", "Content generation", "Data analysis", "Large Language Models", "Generative AI" ], "skillCount" : 11, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 826.3517, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 38828, "totalPages" : 777, "hasNext" : true, "hasPrevious" : false } }

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