{ "count" : 52813, "data" : [ { "id" : "6a305efdf292fd229cf76de4", "title" : "Data Collection Auditor", "industry" : "Data Operations", "salary" : { "min" : 32.0, "max" : 35.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Redwood City, CA", "locations" : [ "Redwood City, CA" ], "timestamp" : "2026-06-16T11:22:34.861", "fingerprint" : "acac40c0f8f554261b93f286b42557f0caf0d84f65a1c2d1ea8e91510cd3d3a8", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/dyna-robotics/91f17da0-fe35-4ae5-a208-e5784de0b258/application", "externalId" : "91f17da0-fe35-4ae5-a208-e5784de0b258", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Redwood City", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4863239,-122.2325230" } ], "locationText" : "Redwood City, California, United States", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Review data collection episodes, Audit live episodes, Ensure accuracy, Ensure consistency, Ensure compliance with SOPs, Identify deviations, Document issues, Provide feedback to operators", "qualificationsBasic" : "Final quality checkpoint", "workSiteFlexibility" : "Onsite", "rawDescription" : "The Data Collection Audior will be responsible for reviewing data collection episodes and/or Live auditing episodes to ensure accuracy, consistency, and compliance with established Standard Operating Procedures. This role serves as the final quality checkpoint, identifying deviations, documenting issues, and providing actionable feedback to operators in order to maintain quality data.", "summaryDescription" : "Data Collection Auditor. Review data collection episodes. Audit live episodes", "createdAt" : "2026-06-16T00:30:19.544", "lastUpdated" : "2026-06-16T11:22:34.861", "ingestTimestamp" : "2026-06-16T00:30:19.544", "mongoId" : "6a305efdf292fd229cf76de4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 35, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "6a305feff292fd229cf83388", "title" : "Account Executive - Enterprise Sales - France (French/Arabic)", "company" : "New Relic", "industry" : "SaaS", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Account Executive - Enterprise Sales in France, adjusted for mid-seniority and SaaS industry." }, "location" : "France", "locations" : [ "France" ], "timestamp" : "2026-06-16T08:49:34.846", "fingerprint" : "cbca46fd0e7b0229523648e342aeedff65b1600b84656d2c93b0133c419650ef", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/newrelic/jobs/5253672008", "externalId" : "5253672008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "France", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "France", "professionalSkills" : [ "Relationship building", "Sales cycle management" ], "majorSkills" : "Enterprise sales, New customer acquisition", "majorSkillsList" : [ "Enterprise sales", "New customer acquisition" ], "coreResponsibilities" : "Introduce New Relic to new customers, Build relationships with potential clients, Understand client challenges, Demonstrate solution value, Develop territory relationships, Become a trusted advisor, Match needs with solutions, Create new opportunities, Partner on marketing campaigns, Develop own engagement strategies, Connect with stakeholders, Spark interest in New Relic, Manage sales cycle, Guide opportunities to close, Maintain accurate forecasts, Update activities in Salesforce, Communicate progress to team, Learn customer business goals, Learn customer technology stacks, Identify New Relic value opportunities, Develop product knowledge, Demonstrate New Relic products", "teamCollaboration" : "Partner with internal teams; Work with solution consultants; Work with marketing teams; Work with customer success", "domainKnowledge" : "Observability; AI-first world; Digital applications", "domainList" : [ "observability", "ai-first-world", "digital-applications" ], "domainSpecificKnowledge" : [ "Observability", "AI-first world", "Digital applications" ], "toolProficiency" : [ "Salesforce" ], "communicationSkills" : "Communicate clearly; Communicate effectively", "continuousLearning" : "Grow product knowledge; Provide resources for learning", "problemSolvingSkills" : "Help customers solve problems", "specialRequirements" : "Criminal background check required, Export compliance assessment may be required", "qualificationsBasic" : "B2B software sales experience, Proven track record acquiring customers, Familiarity with SaaS sales models, Fluency in French and/or Arabic", "qualificationsPreferred" : "Experience in technology sales", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your Opportunity Join our team as an Account Executive, where you'll focus exclusively on introducing New Relic to new customers in the French & French/Arabic region. You'll build relationships with potential new clients, listen to their challenges, and show them how our solutions can help their business succeed. This is a collaborative role where you'll partner with internal teams—including solution consultants, marketing, and customer success—to create thoughtful strategies to acquire new customers and help them thrive. What You'll Do Develop Your Territory: Build meaningful relationships with key stakeholders in your target accounts. Your goal will be to become a trusted advisor by understanding their needs and matching them with the right solutions from our portfolio. Create New Opportunities: Partner with our marketing and demand generation teams on campaigns, while also developing your own strategies to engage prospective customers. You'll connect with stakeholders at various levels to build trust and spark interest in New Relic. Manage Your Sales Cycle: Guide opportunities from initial conversation to close. You'll maintain accurate forecasts, keep your activities updated in Salesforce, and communicate your progress to the team. Stay Curious: Learn about your prospective customers' business goals and technology stacks. By staying informed about their industries, you can better identify opportunities where New Relic can provide significant value. Grow Your Product Knowledge: Develop a strong understanding of the New Relic platform. We are committed to your growth and will provide the resources you need to confidently demonstrate our products. Your Qualifications We believe that experience comes in many forms and are dedicated to building a diverse and inclusive team. If you believe you have the skills to be successful in this role, we encourage you to apply. Experience in a B2B software or technology sales role, with a proven track record of acquiring new customers and logos. A motivated, hunter-first, and goal-oriented mindset, with a passion for helping prospective customers solve problems. Familiarity with subscription-based or SaaS sales models. Strong relationship-building skills and the ability to communicate clearly and effectively. A collaborative spirit for working with internal partners, like Solution Consultants and marketing teams. Fluency in French and/or French & Arabic is required Please note that visa sponsorship is not available for this position. Fostering a diverse, welcoming and inclusive environment is important to us. We work hard to make everyone feel comfortable bringing their best, most authentic selves to work every day. We celebrate our talented Relics’ different backgrounds and abilities, and recognize the different paths they took to reach us – including nontraditional ones. Their experiences and perspectives inspire us to make our products and company the best they can be. We’re looking for people who feel connected to our mission and values, not just candidates who check off all the boxes. If you require a reasonable accommodation to complete any part of the application or recruiting process, please reach out to resume@newrelic.com. We believe in empowering all Relics to achieve professional and business success through a flexible workforce model. This model allows us to work in a variety of workplaces that best support our success, including fully office-based, fully remote, or hybrid. Our hiring process In compliance with applicable law, all persons hired will be required to verify identity and eligibility to work and to complete employment eligibility verification. Note: Our stewardship of the data of thousands of customers means that a criminal background check is required to join New Relic. We will consider qualified applicants with arrest and conviction records based on individual circumstances and in accordance with applicable law including, but not limited to, the San Francisco Fair Chance Ordinance. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. New Relic does not accept unsolicited headhunter and agency resumes, and will not pay fees to any third-party agency or company that does not have a signed agreement with New Relic. New Relic develops and distributes encryption software and technology that complies with U. S. export controls and licensing requirements. Certain New Relic roles require candidates to pass an export compliance assessment as a condition of employment in any global location. If relevant, we will provide more information later in the application process. Candidates are evaluated based on qualifications, regardless of race, religion, ethnicity, national origin, sex, sexual orientation, gender expression or identity, age, disability, neurodiversity, veteran or marital status, political viewpoint, or other legally protected characteristics. Review our Applicant Privacy Notice at https://newrelic.com/termsandconditions/applicant-privacy-policy", "summaryDescription" : "Account Executive - Enterprise Sales - France (French/Arabic) at New Relic. Skills: Enterprise sales, New customer acquisition. Introduce New Relic to new customers. Build relationships with potential clients", "postedDate" : "2026-06-15T23:26:20.801", "createdAt" : "2026-06-15T23:26:20.801", "lastUpdated" : "2026-06-16T08:49:34.846", "ingestTimestamp" : "2026-06-15T23:26:20.801", "mongoId" : "6a305feff292fd229cf83388", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Enterprise sales", "New customer acquisition", "Relationship building", "Sales cycle management", "Observability", "AI-first world", "Digital applications", "Salesforce" ], "skillCount" : 8, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6b9c74d8ee00a091380d", "title" : "Data Collection Engineer", "company" : "SQUAD", "industry" : "Technology", "salary" : { "min" : 720000.0, "max" : 1200000.0, "currency" : "UAH", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Data Collection Engineer in Kyiv, Ukraine, adjusted for the Technology industry and contract employment type." }, "location" : "Kyiv", "locations" : [ "Kyiv" ], "timestamp" : "2026-06-15T10:14:34.652", "fingerprint" : "1bba85c6719e98cca246d68a8451251c7f8d5847277d7446f62ac9bf00314761", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://squad.tech/careers/?gh_jid=7496137", "externalId" : "7496137", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kyiv", "country" : "Ukraine", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.4500336,30.5241361" } ], "locationText" : "Kyiv, Ukraine", "employmentType" : "CONTRACT", "technicalSkills" : "Firmware flashing, Network setup, Sensor calibration, Wi-Fi configuration", "professionalSkills" : [ "Technical Quality Assurance", "Field production", "Problem-solving", "Technical solutions" ], "hardSkillsList" : [ "Device configuration", "Data collection sessions", "Troubleshooting", "Automation" ], "hardSkills" : [ { "name" : "Device configuration", "level" : "intermediate" }, { "name" : "Data collection sessions", "level" : "intermediate" }, { "name" : "Troubleshooting", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" } ], "majorSkills" : "Data Collection, Smart Home Devices, Field Operations", "majorSkillsList" : [ "Data Collection", "Smart Home Devices", "Field Operations" ], "coreResponsibilities" : "Set up and configure devices, Execute and monitor data collection, Ensure data quality and compliance, Prepare field locations, Optimize device placement, Coordinate third-party providers, Perform HW/FW/network troubleshooting, Mitigate operational risks, Document results and issues, Drive improvements in efficiency", "teamCollaboration" : "Cross-functional teams; Project Coordinators", "domainKnowledge" : "Smart home devices; Home automation; Security devices; Video technologies; Local networks", "domainList" : [ "smart-home-devices", "home-automation", "security-devices", "video-technologies", "local-networks" ], "domainSpecificKnowledge" : [ "Smart home devices", "Home automation", "Security devices", "Video technologies", "Local networks" ], "toolProficiency" : [ "Confluence" ], "communicationSkills" : "Clear communication", "documentationSkills" : "Document results", "continuousLearning" : "Corporate courses; Knowledge hubs; English classes; Educational leaves", "problemSolvingSkills" : "Problem-solver; Troubleshooting", "specialRequirements" : "Work evening hours", "qualificationsBasic" : "Experience with Smart Home devices, Solid understanding of network setup, Hands-on experience with technical equipment, Confident use of Google Workspace, Teamwork and cross-functional collaboration, High adaptability to changing environments, Clear and effective communication, Excellent time management, Self-organization and multitasking, Good written and spoken English", "qualificationsPreferred" : "Quality Assurance experience, Working knowledge of UNIX/Linux, Command-line basics", "workSiteFlexibility" : "Onsite", "rawDescription" : "Team Summary We are a Data Collection team focused on improving smart home devices and features through high-quality data. The data we collect supports machine learning training, evaluation, testing, and performance benchmarking, helping teams develop new capabilities and improve detection quality for customers. We recreate real-world scenarios and edge cases in various indoor and outdoor environments using both production and pre-release devices. We also perform comparative analysis of device motion detection performance across different generations, generating insights that help determine device readiness for mass production. Job Summary We are looking for a Data Collection Engineer to join our team. In this role, you will deep-dive into the specifics of smart home device functionality and collaborate with cross-functional teams to influence device/feature performance/detection quality improvement. This role offers an opportunity to work at the intersection of two fields: Technical Quality Assurance and field production (similar to debugging and shooting on a cinema set). The ideal candidate is a proactive problem-solver, creative in finding technical solutions, and resilient to changing external factors. Responsibilities and Duties Set up and configure data collection devices on-site, including firmware flashing, network setup, and sensor calibration Execute and monitor multi-device data collection sessions at remote locations according to defined scenarios, ensuring data quality and compliance in real time Independently prepare field locations, including device placement and field-of-view optimization based on environmental conditions Coordinate third-party providers (vehicles, locations, actors, pets) to ensure correct execution of scenarios Perform HW/FW/network troubleshooting during collection with remote technical support when needed Mitigate on-site operational risks and align with Project Coordinators on resource constraints Document results, issues, and field observations, and drive improvements in data collection efficiency and automation Qualifications and Skills Experience working with Smart Home, home automation, security devices, or video technologies Solid understanding of network setup, Wi-Fi configuration, and basic troubleshooting (routers, access points, local networks) Hands-on experience with technical equipment, tools, hardware installations, or field operations Confident use of Google Workspace and Confluence Strong teamwork, cross-functional collaboration, and high adaptability to changing environments Clear and effective communication Excellent time management, self-organization, and multitasking skills Good written and spoken English. Nice to have Quality Assurance experience (hardware or software testing) Working knowledge of UNIX/Linux environments and command-line basics Flexibility to work evening hours if requested by project specifics. We offer multiple benefits that include The environment of equal opportunities, transparent and value-based corporate culture and an individual approach to each team member. Competitive compensation and perks. Annual performance review. Opportunity to receive a Performance Bonus for your individual achievements and a Loyalty Bonus recognizing your dedication to the company. Gig-contract. 21 paid vacation days per year, paid public holidays according to the Ukrainian legislation. Development opportunities like corporate courses, knowledge hubs, and free English classes as well as educational leaves. Medical insurance is provided from day one. Sick leaves and medical leaves are available. Free meals, fruits, and snacks when working in the office.", "summaryDescription" : "Data Collection Engineer at SQUAD. Skills: Data Collection, Smart Home Devices, Field Operations. Set up and configure devices. Execute and monitor data collection", "postedDate" : "2026-06-14T08:39:16.252", "createdAt" : "2026-06-14T08:39:16.252", "lastUpdated" : "2026-06-15T10:14:34.652", "ingestTimestamp" : "2026-06-14T08:39:16.252", "mongoId" : "6a2c6b9c74d8ee00a091380d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Device configuration", "Data collection sessions", "Troubleshooting", "Automation", "Data Collection", "Smart Home Devices", "Field Operations", "Technical Quality Assurance", "Field production", "Problem-solving", "Technical solutions", "Smart home devices", "Home automation", "Security devices", "Video technologies", "Local networks", "Confluence" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb20b74d8ee00a09df39d", "title" : "French Voice Recording Contributor", "industry" : "Others", "salary" : { "min" : 24000.0, "max" : 36000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for entry-level remote contract roles in Bulgaria, adjusted for the technology industry." }, "location" : "Canada", "locations" : [ "Canada" ], "timestamp" : "2026-06-16T03:56:44.590", "fingerprint" : "19c12936403c613748953c73b73bc7b701f855300a8193c728df227bc5dfec50", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/bba561d1-123e-4ce3-ba35-175d042b2995/apply", "externalId" : "bba561d1-123e-4ce3-ba35-175d042b2995", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "CONTRACT", "professionalSkills" : [ "Linguistic accuracy" ], "hardSkillsList" : [ "Transcription", "Voice recording", "Audio recording" ], "hardSkills" : [ { "name" : "Transcription", "level" : "intermediate" }, { "name" : "Voice recording", "level" : "intermediate" }, { "name" : "Audio recording", "level" : "intermediate" } ], "majorSkills" : "French (Canadian) fluency, Transcription, Voice recording", "majorSkillsList" : [ "French (Canadian) fluency", "Transcription", "Voice recording" ], "coreResponsibilities" : "Record French sentences, Transcribe audio clips accurately, Clean text data, Organize text data, Structure text data, Review work of other contributors, Validate work of other contributors, Follow provided guidelines, Ensure high-quality output, Work independently, Complete tasks at own pace", "domainKnowledge" : "AI training; Language technology", "domainList" : [ "ai-training", "language-technology" ], "domainSpecificKnowledge" : [ "AI training", "Language technology" ], "specialRequirements" : "Quiet environment for recording", "outcomesObjectives" : "High-quality output", "qualificationsBasic" : "Native or near-native fluency in French (Canada), Command of English, Prior experience in transcription, Prior experience in voice recording, Prior experience in annotation, Prior experience in similar language tasks, Access to a quiet environment, Device compatible with audio recording at 8,000 Hz, Device compatible with audio recording at 16,000 Hz", "qualificationsPreferred" : "Review and validate work of other contributors", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Accountabilities Record short French (Canadian) sentences with clear pronunciation and natural delivery. Transcribe audio clips accurately while maintaining attention to linguistic detail. Assist in cleaning, organizing, and structuring text data for AI training purposes. Optionally review and validate the work of other contributors when assigned. Follow provided guidelines and ensure high-quality output across all tasks. Work independently using the designated online platform and complete tasks at your own pace. Requirements: Native or near-native fluency in French (Canada). Strong command of English for instructions and task navigation. Prior experience in transcription, voice recording, annotation, or similar language tasks. Excellent attention to detail and strong linguistic accuracy. Access to a quiet environment suitable for audio recording tasks. A device compatible with audio recording at 8,000 Hz or 16,000 Hz sample rate. Ability to work independently and manage flexible workloads effectively. Benefits: Hourly compensation of $22.40 USD/hour. Fully remote and flexible work structure. Over 40 hours of available project work. Freedom to choose tasks based on preference and availability. Opportunity to contribute to advanced AI and language technology development. Simple onboarding process including brief guidelines and a short qualification quiz. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Voice Recording Contributor. Skills: French (Canadian) fluency, Transcription, Voice recording. Record French sentences. Transcribe audio clips accurately", "postedDate" : "2026-06-12T06:44:58.254", "createdAt" : "2026-06-12T06:44:58.254", "lastUpdated" : "2026-06-16T03:56:44.590", "ingestTimestamp" : "2026-06-14T21:06:21.827", "mongoId" : "6a2cb20b74d8ee00a09df39d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Transcription", "Voice recording", "Audio recording", "French (Canadian) fluency", "Linguistic accuracy", "AI training", "Language technology" ], "skillCount" : 7, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.85 }, { "id" : "69c94a739bc74574cbbb3c84", "title" : "AI Data Associate - French", "company" : "Evi Technologies Limited", "industry" : "Administrative Support, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 32500.0, "max" : 45000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level AI Data Associate in London, UK, adjusted for the technology industry and company size." }, "location" : "London, England, GBR", "locations" : [ "London, England, GBR" ], "timestamp" : "2026-06-15T02:11:41.258", "fingerprint" : "0fd8e80bccc04610ab3228aedf86d8f21cec8161d4412d7600e59a6c0aecfa3d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3190136/apply", "externalId" : "5beff32f-d83e-4d7f-8294-54db002597e0", "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", "technicalSkills" : "Machine Learning, ML", "professionalSkills" : [ "Data labelling", "Dialogue evaluation" ], "hardSkillsList" : [ "Factually correct responses", "Grammatically correct text", "Speech annotation", "Image annotation", "Video annotation" ], "softSkillsList" : [ "Logical decisions", "Eye for detail", "Ownership" ], "hardSkills" : [ { "name" : "Factually correct responses", "level" : "intermediate" }, { "name" : "Grammatically correct text", "level" : "intermediate" }, { "name" : "Speech annotation", "level" : "intermediate" }, { "name" : "Image annotation", "level" : "intermediate" }, { "name" : "Video annotation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Logical decisions" }, { "name" : "Eye for detail" }, { "name" : "Ownership" } ], "majorSkills" : "Data labelling, ML data workflows", "majorSkillsList" : [ "Data labelling", "ML data workflows" ], "coreResponsibilities" : "Maintain and follow strict confidentiality, Work with different types of data, Deliver high-quality labelled data, Meet our KPIs, Assume the role of a subject matter expert, Demonstrate proficiency in researching, Creating factually and grammatically correct responses, Ranking responses, Creating grammatically correct text, Speech annotation, Image annotation, Video annotation, Make logical decisions, Pivot from one category of requirement, Demonstrate support for daily operational deliverables, Demonstrate expertise in handling end to end data, Contribute to root cause analysis, Identify error patterns, Identify solutions to improve quality, Responsible for identifying day-to-day process and operational issues, Suggest changes to unblock operations, Demonstrate ownership in floor support, Clarify internal queries during execution", "teamCollaboration" : "Diverse team", "domainKnowledge" : "Generative AI; Large language models; Human-technology interaction; ML data workflows", "domainList" : [ "generative-ai", "large-language-models", "human-technology-interaction", "ml-data-workflows" ], "domainSpecificKnowledge" : [ "Generative AI", "Large language models", "Human-technology interaction", "ML data workflows" ], "toolProficiency" : [ "In-house tools", "Business applications" ], "communicationSkills" : "Business writing skills; Professional correspondence", "innovationCreativity" : "Think out of the box", "problemSolvingSkills" : "Structured problem-solving; Root cause analysis", "outcomesObjectives" : "Meet our KPIs; Deliver high-quality work", "qualificationsBasic" : "Associate's degree or above, CEFR C1+ or equivalent fluency in French language, Written and spoken knowledge of English is essential (CEFR C1+), business writing skills, Advanced reading comprehension, Developed analytical thinking, structured problem-solving capabilities, ability to interpret and implement detailed instructions, Proficient research skills", "qualificationsPreferred" : "Bachelor’s degree in a relevant field, Proven experience with demonstrated task execution ability, Proven capacity to leverage open-source resources, Ability to adapt well to fast-paced environments, Proven project coordination or management experience, Experience managing stakeholder relationships, Advanced proficiency in Microsoft Office Suite", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on! Key job responsibilities - Maintain and follow strict confidentiality as customer privacy is our biggest tenet - Work with a range of different types of data including but not limited to text, speech, image, and video - Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software - Assume the role of a subject matter expert for Machine Learning (ML) data workflows and demonstrate proficiency in researching, creating factually and grammatically correct responses, ranking responses, creating grammatically correct text, speech, image, video annotation. - Ability to make logical decisions while performing tasks even when provided information is ambiguous. - Eye for detail and ability to pivot from one category of requirement to another instantaneously. - Demonstrate support for daily operational deliverables like AHT, quality, TAT for multiple task types assigned to you and the team - Demonstrate expertise in handling end to end data execution process related to labelling the tasks and be less dependent on work instructions - Contribute to root cause analysis, identify error patterns and identify solutions to improve quality of labelling tasks - Responsible for identifying day-to-day process and operational issues in SOP, tools and suggest changes to unblock operations - Demonstrate ownership in floor support to clarify internal queries during execution on need basis A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data, to assess and improve Alexa’s performance in everyday situations. 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 to make huge strides in the world of technology and the way we use Artificial Intelligence. An inner drive, individuality, and a creative mind are extremely beneficial. 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: - Associate's degree or above - CEFR C1+ or equivalent fluency in French language - Written and spoken knowledge of English is essential (CEFR C1+) - Strong business writing skills with ability to create reports, proposals, and professional correspondence - Advanced reading comprehension with ability to analyze complex business documents - Developed analytical thinking and structured problem-solving capabilities - Strong ability to interpret and implement detailed instructions across various projects - Proficient research skills with experience gathering and synthesizing information from multiple sources - Proven attention to detail in managing complex tasks and documents Preferred Qualifications: - Bachelor’s degree in a relevant field - Proven experience with demonstrated task execution ability - Proven capacity to leverage open-source resources effectively for comprehensive research purposes - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy - Proven project coordination or management experience (for support functions teams) - Experience managing stakeholder relationships across departments - Advanced proficiency in Microsoft Office Suite and common business applications. 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" : "AI Data Associate - French at Evi Technologies Limited. Skills: Data labelling, ML data workflows. Maintain and follow strict confidentiality. Work with different types of data", "postedDate" : "2026-06-13T16:54:26.760", "createdAt" : "2026-06-13T16:54:26.760", "lastUpdated" : "2026-06-15T02:11:41.258", "ingestTimestamp" : "2026-06-13T16:54:26.760", "mongoId" : "69c94a739bc74574cbbb3c84", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3190136/apply", "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Factually correct responses", "Grammatically correct text", "Speech annotation", "Image annotation", "Video annotation", "Logical decisions", "Eye for detail", "Ownership", "Data labelling", "ML data workflows", "Dialogue evaluation", "Generative AI", "Large language models", "Human-technology interaction", "In-house tools", "Business applications" ], "skillCount" : 16, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a660974d8ee00a062ba0a", "title" : "Data Associate (Arabic), Alexa Shopping Operations", "company" : "ADCI", "industry" : "Editorial, Writing, Content Management, Machine Learning Data Operatio, Retail", "salary" : { "min" : 550000.0, "max" : 850000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for an Entry-level Data Associate in the Technology industry in Gurugram, India, adjusted for company size and specific role requirements." }, "location" : "Gurugram, Haryana, IND", "locations" : [ "Gurugram, Haryana, IND" ], "certifications" : [ "Cambridge certifications" ], "timestamp" : "2026-06-15T07:24:02.908", "fingerprint" : "85d83cef02c73c8a6db90923b6aad14a7a36f53e0485c4cf367e72a06b1a936c", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10443292/apply", "externalId" : "26d60c99-8ac8-452d-8858-18391a49b235", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Gurugram", "state" : "Haryana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "28.4646148,77.0299194" } ], "locationText" : "Gurugram, Haryana, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Graduate", "experienceMinYears" : 0, "experienceMaxYears" : 1, "experienceLevel" : "Entry", "technicalSkills" : "AI, LLMs, NLP", "hardSkillsList" : [ "Data collection", "Data curation", "Annotation guidelines" ], "hardSkills" : [ { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Data curation", "level" : "intermediate" }, { "name" : "Annotation guidelines", "level" : "intermediate" } ], "majorSkills" : "Data annotation, AI training, LLM development", "majorSkillsList" : [ "Data annotation", "AI training", "LLM development" ], "coreResponsibilities" : "Contribute to projects generating training datasets, Create content generating text-based user input, Validate data based on annotation guidelines, Perform data collection and curation, Generate high-quality data for AI models, Work closely with team members, Drive process efficiencies, Explore opportunities for automation, Enhance productivity of data generation, Enhance annotation processes", "teamCollaboration" : "Work with Shopping feature teams; Collaborate with team members; Collaborative work environment", "domainKnowledge" : "Artificial Intelligence; Large Language Models; Shopping experience", "domainList" : [ "artificial-intelligence", "large-language-models", "shopping-experience" ], "domainSpecificKnowledge" : [ "Artificial Intelligence", "Large Language Models", "Shopping experience" ], "communicationSkills" : "Written communication; Oral communication", "problemSolvingSkills" : "Analytical thinking; Problem-solving", "qualificationsBasic" : "Graduate or equivalent, Proficient in Arabic language, Demonstrate language proficiency, Outstanding communication skills, Organizational skills, Analytical thinking, Problem-solving", "qualificationsPreferred" : "Post Graduation degree in Arabic Language, Previous experience as AI trainers, Knowledge of AI and NLP, Cambridge certifications, Experience with AI interaction, Prompt generation, Open AI's", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging cutting-edge technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities As part of your role, you will have the opportunity to, • Contribute to various projects involved in generating training datasets for AI models • Create content that generates text-based user input to power artificial intelligence • Validate data based on specific annotation guidelines, ensuring the accuracy and quality of the collected information • Perform data collection and curation, ultimately resulting in the generation of high-quality data that can be utilized for AI models • You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation • You will strive to enhance the productivity and effectiveness of the data generation and annotation processes About the team Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. Basic Qualifications: - Graduate or equivalent (up to 1 year of experience). - Proficient in Arabic language. - Candidate must demonstrate language proficiency in all the following: verbal, writing, reading and comprehension. - Required language level: Graduation - Outstanding communication skills, both written and oral, with a keen eye for detail. - Strong organizational skills to effectively manage tasks and projects. - Proficient in analytical thinking and problem-solving. - Comfortable working in a fast-paced, highly collaborative, and dynamic work environment. Preferred Qualifications: - Post Graduation degree in Arabic Language. - Previous experience as AI trainers, knowledge of AI and NLP, Cambridge certifications Experience with Artificial Intelligence interaction, such as prompt generation and open AI's 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" : "Data Associate (Arabic), Alexa Shopping Operations at ADCI. Skills: Data annotation, AI training, LLM development. Contribute to projects generating training datasets. Create content generating text-based user input", "postedDate" : "2026-06-14T01:43:38.222", "createdAt" : "2026-06-14T01:43:38.222", "lastUpdated" : "2026-06-15T07:24:02.908", "ingestTimestamp" : "2026-06-14T01:43:38.222", "mongoId" : "6a2a660974d8ee00a062ba0a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10443292/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data collection", "Data curation", "Annotation guidelines", "Data annotation", "AI training", "LLM development", "Artificial Intelligence", "Large Language Models", "Shopping experience", "Cambridge certifications" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69c94a6d9bc74574cbbb3763", "title" : "Data Collection Associate, V-CARE", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 15.0, "max" : 21.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arlington, Virginia, USA", "locations" : [ "Arlington, Virginia, USA" ], "timestamp" : "2026-06-15T02:05:35.308", "fingerprint" : "28fbcaa0cec7b81a5778731ca71837ffd3757bba9f7fe7032cf4e40f32141301", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3194804/apply", "externalId" : "48451126-d63a-4f07-a3d3-8e592da01d61", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Adhere to data collection protocol, Follow SOP, Complete project objectives, Work one-on-one with research participants, Moderate research participants, Assist research participants, Ensure research objectives are met, Support collection projects operations, Report on collection projects, Moderate collection projects, Own defined tasks within projects, Improve data collection processes, Deliver high quality work, Communicate internally with team members, Identify issues, Propose solutions for sustainability, Support several projects, Accept re-prioritization, Perform basic troubleshooting tasks, Escalate technical issues", "teamCollaboration" : "Partner with Program Coordinators; Partner with Data Collection Leads; Partner with Data Collection Specialists", "toolProficiency" : [ "Microsoft Office" ], "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Work indoor/outdoor 4-5 days, Travel to multiple sites, Lift up to 30lbs", "qualificationsBasic" : "Knowledge of Microsoft Office products, Reliable transportation", "qualificationsPreferred" : "Experience in research, Experience in data collection, Experience using Confluence, Experience using Quip, Experience using Jira, Experience using Salesforce, End-to-end experience with data collections, Hands-on experience with data collections, Experience moderating a 1:1 session, Experience moderating sessions with users of different age, Experience moderating sessions with users of different demographics, Consumer electronic research experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Associates will follow clear instructions and apply the best responses to multiple choice situations. The ideal candidate will be organized, detail oriented and have excellent interpersonal skills. They should be able to perform data collected related tasks and procedures in assigned areas with guidance from Data Collection Specialists and Leads. Key job responsibilities Key job responsibilities * Partner closely with Program Coordinators/Data Collection Leads/Data Collection Specialists by adhering to data collection protocol and follow SOP to complete project objectives * Work one-on-one with research participants by moderating and assisting them through the research process to ensure research objectives are met * Support day-to-day operations of collection projects including reporting, moderating, etc * Own defined tasks within projects focused on improving parts of the data collection processes * Deliver high quality work under tight deadlines * Communicate internally with team members to identify issues and propose solutions for long term sustainability of processes * Support several projects at one time and accept re-prioritization as required * Perform basic troubleshooting tasks on any technical issues during collection and escalate as needed * Work indoor/outdoor 4-5 days per week in the field, traveling to multiple sites within 50 miles (this is not a work from home role) * Lift up to 30lbs when needed Basic Qualifications: - Knowledge of Microsoft Office products and applications - A good sense of humor, a positive attitude and great team work skills - Reliable transportation Preferred Qualifications: - Experience in research or data collection - Experience using Confluence, Quip, Jira, Salesforce - End-to-end, hands-on experience with aspects of data collections (recruiting, moderation, reporting) - Experience moderating a 1:1 session with users independently in the field - Experience moderating sessions with users of different age and demographics is a big plus - Consumer electronic research experience 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 starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, VA, Arlington - 15.00 - 21.00 USD hourly", "summaryDescription" : "Data Collection Associate, V-CARE at Amazon.com Services LLC. Adhere to data collection protocol. Follow SOP", "postedDate" : "2026-06-13T12:33:37.800", "createdAt" : "2026-06-13T12:33:37.800", "lastUpdated" : "2026-06-15T02:05:35.308", "ingestTimestamp" : "2026-06-13T12:33:37.800", "mongoId" : "69c94a6d9bc74574cbbb3763", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3194804/apply", "salaryAnnualMin" : 31200, "salaryAnnualMax" : 43680, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Microsoft Office" ], "skillCount" : 1, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69e104422beec4dd3def28d8", "title" : "AI Data Associate French", "company" : "Evi Technologies Limited", "industry" : "Administrative Support, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 28000.0, "max" : 35000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry level AI Data Associate in Cambridge, United Kingdom, adjusted for the technology industry and company size." }, "location" : "Cambridge, England, GBR", "locations" : [ "Cambridge, England, GBR" ], "timestamp" : "2026-06-15T03:51:52.031", "fingerprint" : "c66796d7b164d93cc5e39b740ba6221d2b928a0ae1bb91744657bb27ce1cab65", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10385844/apply", "externalId" : "e25ade8a-e63c-47b0-b1ba-6b2ec03e2278", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cambridge", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.1975846,0.1391537" } ], "locationText" : "Cambridge, England, United Kingdom", "employmentType" : "FULL_TIME", "technicalSkills" : "Machine Learning, ML", "professionalSkills" : [ "Data labelling", "Dialogue evaluation", "Data execution" ], "hardSkillsList" : [ "Data annotation", "Text annotation", "Speech annotation", "Image annotation", "Video annotation", "Root cause analysis", "Error pattern identification" ], "softSkillsList" : [ "Logical decisions", "Eye for detail", "Individuality", "Creative mind" ], "hardSkills" : [ { "name" : "Data annotation", "level" : "intermediate" }, { "name" : "Text annotation", "level" : "intermediate" }, { "name" : "Speech annotation", "level" : "intermediate" }, { "name" : "Image annotation", "level" : "intermediate" }, { "name" : "Video annotation", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Error pattern identification", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Logical decisions" }, { "name" : "Eye for detail" }, { "name" : "Individuality" }, { "name" : "Creative mind" } ], "majorSkills" : "Data labelling, ML data workflows", "majorSkillsList" : [ "Data labelling", "ML data workflows" ], "coreResponsibilities" : "Maintain and follow strict confidentiality, Work with different types of data, Deliver high-quality labelled data, Meet KPIs using in-house tools, Research responses, Create factually and grammatically correct responses, Rank responses, Create grammatically correct text, Create speech annotation, Create image annotation, Create video annotation, Make logical decisions with ambiguous information, Pivot from one category of requirement to another, Support daily operational deliverables, Demonstrate expertise in handling end to end data, Be less dependent on work instructions, Contribute to root cause analysis, Identify error patterns, Identify solutions to improve quality, Identify day-to-day process and operational issues, Suggest changes to unblock operations, Clarify internal queries during execution", "teamCollaboration" : "Diverse team; Shared vision", "domainKnowledge" : "Generative AI; Large language models; Human-technology interaction; Machine Learning data workflows; Dialogue evaluation", "domainList" : [ "generative-ai", "large-language-models", "human-technology-interaction", "machine-learning-data-workflows", "dialogue-evaluation" ], "domainSpecificKnowledge" : [ "Generative AI", "Large language models", "Human-technology interaction", "Machine Learning data workflows", "Dialogue evaluation" ], "toolProficiency" : [ "In-house tools", "Business applications" ], "communicationSkills" : "Business writing; Professional correspondence", "continuousLearning" : "Trainings", "innovationCreativity" : "Think out of the box", "problemSolvingSkills" : "Structured problem-solving; Root cause analysis", "outcomesObjectives" : "Meet our KPIs; Deliver high-quality work; Improve quality of labelling tasks", "qualificationsBasic" : "Associate’s Degree or related work experience, CEFR C1+ or equivalent fluency in French, Written and spoken knowledge of English (CEFR B2+), Business writing skills, Advanced reading comprehension, Developed analytical thinking, Structured problem-solving capabilities, Ability to interpret and implement detailed instructions, Proficient research skills, Proven attention to detail", "qualificationsPreferred" : "Bachelor’s degree in a relevant field, Proven experience with demonstrated task execution ability, Capacity to leverage open-source resources, Ability to adapt well to fast-paced environments, Proven project coordination or management experience, Experience managing stakeholder relationships, Advanced proficiency in Microsoft Office Suite", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on! Key job responsibilities - Maintain and follow strict confidentiality as customer privacy is our biggest tenet - Work with a range of different types of data including but not limited to text, speech, image, and video - Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software - Assume the role of a subject matter expert for Machine Learning (ML) data workflows and demonstrate proficiency in researching, creating factually and grammatically correct responses, ranking responses, creating grammatically correct text, speech, image, video annotation. - Ability to make logical decisions while performing tasks even when provided information is ambiguous. - Eye for detail and ability to pivot from one category of requirement to another instantaneously. - Demonstrate support for daily operational deliverables like AHT, quality, TAT for multiple task types assigned to you and the team - Demonstrate expertise in handling end to end data execution process related to labelling the tasks and be less dependent on work instructions - Contribute to root cause analysis, identify error patterns and identify solutions to improve quality of labelling tasks - Responsible for identifying day-to-day process and operational issues in SOP, tools and suggest changes to unblock operations - Demonstrate ownership in floor support to clarify internal queries during execution on need basis A day in the life We are looking for an AI Data Associate to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data, to assess and improve Alexa’s performance in everyday situations. 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 to make huge strides in the world of technology and the way we use Artificial Intelligence. An inner drive, individuality, and a creative mind are extremely beneficial. 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: - An Associate’s Degree or related work experience - CEFR C1+ or equivalent fluency in French language - Written and spoken knowledge of English is essential (CEFR B2+) - Strong business writing skills with ability to create reports, proposals, and professional correspondence - Advanced reading comprehension with ability to analyze complex business documents - Developed analytical thinking and structured problem-solving capabilities - Strong ability to interpret and implement detailed instructions across various projects - Proficient research skills with experience gathering and synthesizing information from multiple sources - Proven attention to detail in managing complex tasks and documents Preferred Qualifications: - Bachelor’s degree in a relevant field - Proven experience with demonstrated task execution ability - Proven capacity to leverage open-source resources effectively for comprehensive research purposes - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy - Proven project coordination or management experience (for support functions teams) - Experience managing stakeholder relationships across departments - Advanced proficiency in Microsoft Office Suite and common business applications. 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" : "AI Data Associate French at Evi Technologies Limited. Skills: Data labelling, ML data workflows. Maintain and follow strict confidentiality. Work with different types of data", "postedDate" : "2026-06-13T07:43:25.731", "createdAt" : "2026-06-13T07:43:25.731", "lastUpdated" : "2026-06-15T03:51:52.031", "ingestTimestamp" : "2026-06-13T07:43:25.731", "mongoId" : "69e104422beec4dd3def28d8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10385844/apply", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data annotation", "Text annotation", "Speech annotation", "Image annotation", "Video annotation", "Root cause analysis", "Error pattern identification", "Logical decisions", "Eye for detail", "Individuality", "Creative mind", "Data labelling", "ML data workflows", "Dialogue evaluation", "Data execution", "Generative AI", "Large language models", "Human-technology interaction", "Machine Learning data workflows", "In-house tools", "Business applications" ], "skillCount" : 21, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a25145b74d8ee00a00bb571", "title" : "Data Collection Associate, V-CARE", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 20.0, "max" : 22.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T04:22:16.377", "fingerprint" : "234a17b7652e40eeb540acda1dd4a7495c204bbacd472afab1c2bf0ae718779c", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10440753/apply", "externalId" : "84ab52f4-51b6-4086-aaf3-1ae2012cced9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Data collection" ], "hardSkillsList" : [ "Data collection procedures" ], "softSkillsList" : [ "Interpersonal skills" ], "hardSkills" : [ { "name" : "Data collection procedures", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Interpersonal skills" } ], "majorSkills" : "Data collection, Moderation", "majorSkillsList" : [ "Data collection", "Moderation" ], "coreResponsibilities" : "Follow clear instructions, Apply best responses, Perform data collected tasks, Adhere to data collection protocol, Follow SOP, Complete project objectives, Work one-on-one with research participants, Moderate research process, Assist research participants, Support day-to-day operations, Report on collection projects, Moderate collection projects, Own defined tasks, Improve data collection processes, Deliver high quality work, Communicate internally with team members, Identify issues, Propose solutions, Support several projects, Accept re-prioritization, Perform basic troubleshooting, Escalate technical issues", "teamCollaboration" : "Internal team communication", "domainKnowledge" : "Consumer electronics", "domainList" : [ "consumer-electronics" ], "domainSpecificKnowledge" : [ "Consumer electronics" ], "toolProficiency" : [ "Confluence", "Quip", "Jira", "Salesforce" ], "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Work indoor/outdoor, Travel to multiple sites, Lift up to 30lbs, Comfort with gaming controllers, Proficiency with joysticks", "outcomesObjectives" : "Ensure research objectives are met", "qualificationsBasic" : "Knowledge of Microsoft Office products, Reliable transportation", "qualificationsPreferred" : "Experience in research or data collection, Experience using Confluence, Experience using Quip, Experience using Jira, Experience using Salesforce, End-to-end data collections experience, Experience moderating 1:1 session independently, Experience moderating sessions with different demographics, Consumer electronic research experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Associates will follow clear instructions and apply the best responses to multiple choice situations. The ideal candidate will be organized, detail oriented and have excellent interpersonal skills. They should be able to perform data collected related tasks and procedures in assigned areas with guidance from Data Collection Specialists and Leads. Key job responsibilities Key job responsibilities * Partner closely with Program Coordinators/Data Collection Leads/Data Collection Specialists by adhering to data collection protocol and follow SOP to complete project objectives * Work one-on-one with research participants by moderating and assisting them through the research process to ensure research objectives are met * Support day-to-day operations of collection projects including reporting, moderating, etc * Own defined tasks within projects focused on improving parts of the data collection processes * Deliver high quality work under tight deadlines * Communicate internally with team members to identify issues and propose solutions for long term sustainability of processes * Support several projects at one time and accept re-prioritization as required * Perform basic troubleshooting tasks on any technical issues during collection and escalate as needed * Work indoor/outdoor 4-5 days per week in the field, traveling to multiple sites within 50 miles (this is not a work from home role) * Lift up to 30lbs when needed * Comfort and proficiency with gaming controllers, joysticks, or similar real-time navigation tools, with the ability to apply those skills in an operational environment. Basic Qualifications: - Knowledge of Microsoft Office products and applications - A good sense of humor, a positive attitude and great team work skills - Reliable transportation Preferred Qualifications: - Experience in research or data collection - Experience using Confluence, Quip, Jira, Salesforce - End-to-end, hands-on experience with aspects of data collections (recruiting, moderation, reporting) - Experience moderating a 1:1 session with users independently in the field - Experience moderating sessions with users of different age and demographics is a big plus - Consumer electronic research experience 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 starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, WA, Bellevue - 20.00 - 22.00 USD hourly", "summaryDescription" : "Data Collection Associate, V-CARE at Amazon.com Services LLC. Skills: Data collection, Moderation. Follow clear instructions. Apply best responses", "postedDate" : "2026-06-13T10:46:18.664", "createdAt" : "2026-06-13T10:46:18.664", "lastUpdated" : "2026-06-15T04:22:16.377", "ingestTimestamp" : "2026-06-13T10:46:18.664", "mongoId" : "6a25145b74d8ee00a00bb571", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10440753/apply", "salaryAnnualMin" : 41600, "salaryAnnualMax" : 45760, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data collection procedures", "Interpersonal skills", "Data collection", "Moderation", "Consumer electronics", "Confluence", "Quip", "Jira", "Salesforce" ], "skillCount" : 9, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a25145b74d8ee00a00bb570", "title" : "Data Collection Associate, V-CARE", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 16.0, "max" : 24.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T03:47:47.735", "fingerprint" : "f8e653d48a9908cdc87724dda5c7efa81486d75bd47d95d0b2ca1a9adb3f386f", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10440754/apply", "externalId" : "02e4af73-48cd-446a-837a-f0c5c5247c9b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Data collection" ], "hardSkillsList" : [ "Moderating sessions" ], "hardSkills" : [ { "name" : "Moderating sessions", "level" : "intermediate" } ], "majorSkills" : "Data collection, Research participants", "majorSkillsList" : [ "Data collection", "Research participants" ], "coreResponsibilities" : "Follow instructions, Apply best responses, Perform data collected tasks, Partner with coordinators, Adhere to data collection protocol, Follow SOP, Complete project objectives, Work with research participants, Moderate research process, Assist research participants, Support day-to-day operations, Report on operations, Moderate sessions, Own defined tasks, Improve data collection processes, Deliver high quality work, Communicate with team members, Identify issues, Propose solutions, Support several projects, Accept re-prioritization, Perform basic troubleshooting, Escalate technical issues, Work indoor/outdoor, Travel to multiple sites, Lift up to 30lbs", "teamCollaboration" : "Internal team communication", "domainKnowledge" : "Consumer electronic research", "domainList" : [ "consumer-electronic-research" ], "domainSpecificKnowledge" : [ "Consumer electronic research" ], "toolProficiency" : [ "Confluence", "Quip", "Jira", "Salesforce" ], "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Work indoor/outdoor, Travel up to 50 miles, Lift up to 30lbs", "qualificationsBasic" : "Knowledge of Microsoft Office, Reliable transportation", "qualificationsPreferred" : "Experience in research, Experience in data collection, Experience using Confluence, Experience using Quip, Experience using Jira, Experience using Salesforce, End-to-end data collections experience, Moderating 1:1 session independently, Consumer electronic research experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Associates will follow clear instructions and apply the best responses to multiple choice situations. The ideal candidate will be organized, detail oriented and have excellent interpersonal skills. They should be able to perform data collected related tasks and procedures in assigned areas with guidance from Data Collection Specialists and Leads. Key job responsibilities Key job responsibilities * Partner closely with Program Coordinators/Data Collection Leads/Data Collection Specialists by adhering to data collection protocol and follow SOP to complete project objectives * Work one-on-one with research participants by moderating and assisting them through the research process to ensure research objectives are met * Support day-to-day operations of collection projects including reporting, moderating, etc * Own defined tasks within projects focused on improving parts of the data collection processes * Deliver high quality work under tight deadlines * Communicate internally with team members to identify issues and propose solutions for long term sustainability of processes * Support several projects at one time and accept re-prioritization as required * Perform basic troubleshooting tasks on any technical issues during collection and escalate as needed * Work indoor/outdoor 4-5 days per week in the field, traveling to multiple sites within 50 miles (this is not a work from home role) * Lift up to 30lbs when needed * Comfort and proficiency with gaming controllers, joysticks, or similar real-time navigation tools, with the ability to apply those skills in an operational environment. Basic Qualifications: - Knowledge of Microsoft Office products and applications - A good sense of humor, a positive attitude and great team work skills - Reliable transportation Preferred Qualifications: - Experience in research or data collection - Experience using Confluence, Quip, Jira, Salesforce - End-to-end, hands-on experience with aspects of data collections (recruiting, moderation, reporting) - Experience moderating a 1:1 session with users independently in the field - Experience moderating sessions with users of different age and demographics is a big plus - Consumer electronic research experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, CA, Sunnyvale - 16.00 - 24.00 USD hourly", "summaryDescription" : "Data Collection Associate, V-CARE at Amazon.com Services LLC. Skills: Data collection, Research participants. Follow instructions. Apply best responses", "postedDate" : "2026-06-13T08:29:33.665", "createdAt" : "2026-06-13T08:29:33.665", "lastUpdated" : "2026-06-15T03:47:47.735", "ingestTimestamp" : "2026-06-13T08:29:33.665", "mongoId" : "6a25145b74d8ee00a00bb570", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10440754/apply", "salaryAnnualMin" : 33280, "salaryAnnualMax" : 49920, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Moderating sessions", "Data collection", "Research participants", "Consumer electronic research", "Confluence", "Quip", "Jira", "Salesforce" ], "skillCount" : 8, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69c94a6d9bc74574cbbb3760", "title" : "Data Collection Associate, V-CARE", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 16.0, "max" : 24.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T02:36:16.124", "fingerprint" : "47d0d28926180d2849f602840a7418b7ed4f82cf557abea56ee6d742dfd90725", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3194808/apply", "externalId" : "9d05e18a-f86c-4d95-ae6a-fcc44adbaffe", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Follow clear instructions, Apply best responses to multiple choice situations, Perform data collected related tasks, Adhere to data collection protocol, Follow SOP to complete project objectives, Work one-on-one with research participants, Moderate research process, Assist research participants, Support day-to-day operations of collection projects, Report on collection projects, Moderate collection projects, Own defined tasks within projects, Improve parts of the data collection processes, Deliver high quality work, Communicate internally with team members, Identify issues, Propose solutions for long term sustainability, Support several projects at one time, Accept re-prioritization as required, Perform basic troubleshooting tasks, Escalate technical issues as needed, Work indoor/outdoor in the field, Travel to multiple sites", "teamCollaboration" : "Partner closely with Program Coordinators; Partner closely with Data Collection Leads; Partner closely with Data Collection Specialists; Communicate internally with team members", "toolProficiency" : [ "Microsoft Office", "Confluence", "Quip", "Jira", "Salesforce" ], "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Travel to multiple sites within 50 miles, Lift up to 30lbs, Work indoor/outdoor 4-5 days per week", "qualificationsBasic" : "Knowledge of Microsoft Office products, Reliable transportation", "qualificationsPreferred" : "Experience using Confluence, Experience using Quip, Experience using Jira, Experience using Salesforce, Experience moderating a 1:1 session with users independently in the field, Experience moderating sessions with users of different age and demographics, Consumer electronic research experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Associates will follow clear instructions and apply the best responses to multiple choice situations. The ideal candidate will be organized, detail oriented and have excellent interpersonal skills. They should be able to perform data collected related tasks and procedures in assigned areas with guidance from Data Collection Specialists and Leads. Key job responsibilities Key job responsibilities * Partner closely with Program Coordinators/Data Collection Leads/Data Collection Specialists by adhering to data collection protocol and follow SOP to complete project objectives * Work one-on-one with research participants by moderating and assisting them through the research process to ensure research objectives are met * Support day-to-day operations of collection projects including reporting, moderating, etc * Own defined tasks within projects focused on improving parts of the data collection processes * Deliver high quality work under tight deadlines * Communicate internally with team members to identify issues and propose solutions for long term sustainability of processes * Support several projects at one time and accept re-prioritization as required * Perform basic troubleshooting tasks on any technical issues during collection and escalate as needed * Work indoor/outdoor 4-5 days per week in the field, traveling to multiple sites within 50 miles (this is not a remote role) * Lift up to 30lbs when needed Basic Qualifications: - Knowledge of Microsoft Office products and applications - Reliable transportation Preferred Qualifications: - Experience using Confluence, Quip, Jira, Salesforce - Experience moderating a 1:1 session with users independently in the field - Experience moderating sessions with users of different age and demographics is a big plus - Consumer electronic research experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, CA, Sunnyvale - 16.00 - 24.00 USD hourly", "summaryDescription" : "Data Collection Associate, V-CARE at Amazon.com Services LLC. Follow clear instructions. Apply best responses to multiple choice situations", "postedDate" : "2026-06-13T06:46:03.656", "createdAt" : "2026-06-13T06:46:03.656", "lastUpdated" : "2026-06-15T02:36:16.124", "ingestTimestamp" : "2026-06-13T06:46:03.656", "mongoId" : "69c94a6d9bc74574cbbb3760", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3194808/apply", "salaryAnnualMin" : 33280, "salaryAnnualMax" : 49920, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Microsoft Office", "Confluence", "Quip", "Jira", "Salesforce" ], "skillCount" : 5, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69c94a669bc74574cbbb305d", "title" : "AI Data Associate - French", "company" : "Evi Technologies Limited", "industry" : "Administrative Support, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 32000.0, "max" : 45000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level AI Data Associate in London, adjusted for the technology industry and company size." }, "location" : "London, England, GBR", "locations" : [ "London, England, GBR" ], "timestamp" : "2026-06-15T01:57:46.219", "fingerprint" : "2024ff8a23f55f6d399a314b92f4923241add2332cd3ff0040a2d2bc141408cc", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3190137/apply", "externalId" : "813a4c30-0401-4596-a74c-61985e019f3e", "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", "technicalSkills" : "Machine Learning, ML", "professionalSkills" : [ "Data labelling", "Dialogue evaluation", "Root cause analysis" ], "hardSkillsList" : [ "Data execution process", "Labelling tasks" ], "softSkillsList" : [ "Logical decisions", "Eye for detail", "Individuality", "Creative mind" ], "hardSkills" : [ { "name" : "Data execution process", "level" : "intermediate" }, { "name" : "Labelling tasks", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Logical decisions" }, { "name" : "Eye for detail" }, { "name" : "Individuality" }, { "name" : "Creative mind" } ], "majorSkills" : "Data labelling, ML data workflows", "majorSkillsList" : [ "Data labelling", "ML data workflows" ], "coreResponsibilities" : "Maintain and follow strict confidentiality, Work with different types of data, Deliver high-quality labelled data, Meet our KPIs, Use in-house tools and software, Assume the role of a subject matter expert, Demonstrate proficiency in researching, Creating factually and grammatically correct responses, Ranking responses, Creating grammatically correct text, Speech annotation, Image annotation, Video annotation, Make logical decisions, Perform tasks, Pivot from one category of requirement to another, Demonstrate support for daily operational deliverables, Demonstrate expertise in handling end to end data, Label the tasks, Contribute to root cause analysis, Identify error patterns, Identify solutions to improve quality, Identify day-to-day process and operational issues, Suggest changes to unblock operations, Demonstrate ownership in floor support, Clarify internal queries during execution, Undertake the task of foundational labeling functions, Assess and improve Alexa’s performance", "teamCollaboration" : "Diverse team", "domainKnowledge" : "Generative AI; Large language models; Human-technology interaction; Machine Learning; Data workflows; Alexa performance", "domainList" : [ "generative-ai", "large-language-models", "human-technology-interaction", "machine-learning", "data-workflows", "alexa-performance" ], "domainSpecificKnowledge" : [ "Generative AI", "Large language models", "Human-technology interaction", "Machine Learning", "Data workflows", "Alexa performance" ], "toolProficiency" : [ "In-house tools", "Business applications" ], "communicationSkills" : "Business writing skills; Professional correspondence", "continuousLearning" : "Trainings", "innovationCreativity" : "Invent; Simplify; Build", "problemSolvingSkills" : "Structured problem-solving; Root cause analysis", "outcomesObjectives" : "Meet our KPIs; Deliver high-quality work; Improve quality of labelling tasks", "qualificationsBasic" : "Associate's Degree or related work experience, CEFR C1+ or equivalent fluency in French language, Written and spoken knowledge of English is essential (CEFR C1+), business writing skills, Advanced reading comprehension, Developed analytical thinking, structured problem-solving capabilities, ability to interpret and implement detailed instructions, Proficient research skills, Proven attention to detail", "qualificationsPreferred" : "Bachelor's degree in a relevant field, Proven experience with demonstrated task execution ability, Proven capacity to leverage open-source resources, Ability to adapt well to fast-paced environments, Proven project coordination or management experience, Experience managing stakeholder relationships, Advanced proficiency in Microsoft Office Suite", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on! Key job responsibilities - Maintain and follow strict confidentiality as customer privacy is our biggest tenet - Work with a range of different types of data including but not limited to text, speech, image, and video - Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software - Assume the role of a subject matter expert for Machine Learning (ML) data workflows and demonstrate proficiency in researching, creating factually and grammatically correct responses, ranking responses, creating grammatically correct text, speech, image, video annotation. - Ability to make logical decisions while performing tasks even when provided information is ambiguous. - Eye for detail and ability to pivot from one category of requirement to another instantaneously. - Demonstrate support for daily operational deliverables like AHT, quality, TAT for multiple task types assigned to you and the team - Demonstrate expertise in handling end to end data execution process related to labelling the tasks and be less dependent on work instructions - Contribute to root cause analysis, identify error patterns and identify solutions to improve quality of labelling tasks - Responsible for identifying day-to-day process and operational issues in SOP, tools and suggest changes to unblock operations - Demonstrate ownership in floor support to clarify internal queries during execution on need basis A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data, to assess and improve Alexa’s performance in everyday situations. 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 to make huge strides in the world of technology and the way we use Artificial Intelligence. An inner drive, individuality, and a creative mind are extremely beneficial. 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: - An Associate’s Degree or related work experience - CEFR C1+ or equivalent fluency in French language - Written and spoken knowledge of English is essential (CEFR C1+) - Strong business writing skills with ability to create reports, proposals, and professional correspondence - Advanced reading comprehension with ability to analyze complex business documents - Developed analytical thinking and structured problem-solving capabilities - Strong ability to interpret and implement detailed instructions across various projects - Proficient research skills with experience gathering and synthesizing information from multiple sources - Proven attention to detail in managing complex tasks and documents Preferred Qualifications: - Bachelor’s degree in a relevant field - Proven experience with demonstrated task execution ability - Proven capacity to leverage open-source resources effectively for comprehensive research purposes - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy - Proven project coordination or management experience (for support functions teams) - Experience managing stakeholder relationships across departments - Advanced proficiency in Microsoft Office Suite and common business applications. 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" : "AI Data Associate - French at Evi Technologies Limited. Skills: Data labelling, ML data workflows. Maintain and follow strict confidentiality. Work with different types of data", "postedDate" : "2026-06-13T03:20:07.030", "createdAt" : "2026-06-13T03:20:07.030", "lastUpdated" : "2026-06-15T01:57:46.219", "ingestTimestamp" : "2026-06-13T03:20:07.030", "mongoId" : "69c94a669bc74574cbbb305d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3190137/apply", "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data execution process", "Labelling tasks", "Logical decisions", "Eye for detail", "Individuality", "Creative mind", "Data labelling", "ML data workflows", "Dialogue evaluation", "Root cause analysis", "Generative AI", "Large language models", "Human-technology interaction", "Machine Learning", "Data workflows", "Alexa performance", "In-house tools", "Business applications" ], "skillCount" : 18, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a305118f292fd229cef9a76", "title" : "French Audio Evaluations Specialist - Freelance AI Trainer Project", "industry" : "Others", "salary" : { "min" : 6.0, "max" : 65.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Poland", "locations" : [ "Poland" ], "timestamp" : "2026-06-16T12:00:26.252", "fingerprint" : "5ddf319726441acc77de16c89115a59f5ad86ffa8ba13bb2d59297e9a4296d47", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/cd84ca7e-9ba5-42c1-ae8b-e4b38aeecb73/apply", "externalId" : "cd84ca7e-9ba5-42c1-ae8b-e4b38aeecb73", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "CONTRACT", "technicalSkills" : "JSON", "professionalSkills" : [ "Technical troubleshooting", "AI evaluation" ], "hardSkillsList" : [ "Linguistics", "QA", "Analytical skills", "Programming concepts", "Logical reasoning" ], "hardSkills" : [ { "name" : "Linguistics", "level" : "intermediate" }, { "name" : "QA", "level" : "intermediate" }, { "name" : "Analytical skills", "level" : "intermediate" }, { "name" : "Programming concepts", "level" : "intermediate" }, { "name" : "Logical reasoning", "level" : "intermediate" } ], "coreResponsibilities" : "Design role-play evaluation scenarios, Evaluate AI-generated audio outputs, Audit conversational performance, Assess technical reasoning in AI outputs, Contribute to audio datasets, Follow evaluation guidelines, Produce evaluation outputs", "domainKnowledge" : "Customer support; Technical services; Conversational AI", "domainList" : [ "customer-support", "technical-services", "conversational-ai" ], "domainSpecificKnowledge" : [ "Customer support", "Technical services", "Conversational AI" ], "communicationSkills" : "Professional role-play simulations", "documentationSkills" : "Well-documented outputs", "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Remote freelance/contractor environment", "qualificationsBasic" : "Native or bilingual proficiency in French, Excellent spoken, written, listening, and reading skills in French, Proven experience in customer support, Proven experience in technical troubleshooting, Proven experience in linguistics, Proven experience in QA, Proven experience in AI evaluation-related work, Basic understanding of programming concepts, High attention to detail, Ability to work with structured evaluation rubrics, Reliable access to high-quality microphone, Stable internet connection", "qualificationsPreferred" : "PhD preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Design and execute complex role-play evaluation scenarios simulating real customer support interactions in domains such as travel, finance, and technical services. Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Design role-play evaluation scenarios. 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Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: Audio evaluation, AI training. Design role-play evaluation scenarios. 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Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio evaluation, French language. Design role-play evaluation scenarios. 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Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: Audio evaluation, AI training, French language. Design role-play evaluation scenarios. 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Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio datasets. Design role-play evaluation scenarios. 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Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio evaluation, French language proficiency. Design role-play evaluation scenarios. 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Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio evaluation, Role-play simulation. Design role-play evaluation scenarios. 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Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: Audio evaluation, AI training. Design role-play evaluation scenarios. 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Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio datasets. Design role-play evaluation scenarios. 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Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio datasets. Design role-play evaluation scenarios. 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Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio evaluation, French language. Design role-play evaluation scenarios. 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Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio datasets. Design role-play evaluation scenarios. 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Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio evaluation, French language. Design role-play evaluation scenarios. Evaluate AI-generated audio outputs", "postedDate" : "2026-06-15T12:53:50.797", "createdAt" : "2026-06-15T12:53:50.797", "lastUpdated" : "2026-06-16T12:30:49.912", "ingestTimestamp" : "2026-06-16T03:21:20.387", "mongoId" : "6a305118f292fd229cef9a6c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12480, "salaryAnnualMax" : 135200, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Qualitative metrics", "Quantitative metrics", "Structured data accuracy", "AI evaluation", "Audio evaluation", "French language", "Role-play evaluation", "Conversational performance assessment", "Technical reasoning assessment", "Dataset creation", "Data integrity", "Customer support", "Technical troubleshooting", "Linguistics", "JSON structures", "Functions", "Methods", "Support workflows", "Conversational AI" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305118f292fd229cef9a65", "title" : "French Audio Evaluations Specialist - Freelance AI Trainer Project", "industry" : "Others", "salary" : { "min" : 6.0, "max" : 65.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Portugal", "locations" : [ "Portugal" ], "timestamp" : "2026-06-16T12:56:35.286", "fingerprint" : "6583def78f478bd6cd31a4abb56668626f6df97aa6cc77f0858babc9f05313e4", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/7542eec4-c524-488d-9445-513abd017068/apply", "externalId" : "7542eec4-c524-488d-9445-513abd017068", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "CONTRACT", "technicalSkills" : "JSON", "professionalSkills" : [ "Role-play evaluation", "Conversational performance assessment", "Technical reasoning assessment", "Data dataset creation", "Data dataset refinement", "Evaluation guideline adherence", "Independent work", "Documentation" ], "hardSkillsList" : [ "Qualitative metrics evaluation", "Quantitative metrics evaluation", "Logical reasoning" ], "hardSkills" : [ { "name" : "Qualitative metrics evaluation", "level" : "intermediate" }, { "name" : "Quantitative metrics evaluation", "level" : "intermediate" }, { "name" : "Logical reasoning", "level" : "intermediate" } ], "majorSkills" : "AI evaluation, Audio evaluation, French language, Customer support simulation", "majorSkillsList" : [ "AI evaluation", "Audio evaluation", "French language", "Customer support simulation" ], "coreResponsibilities" : "Design role-play evaluation scenarios, Execute role-play evaluation scenarios, Evaluate AI-generated audio outputs, Audit conversational performance, Assess technical reasoning in AI outputs, Contribute to audio dataset creation, Contribute to audio dataset refinement, Follow structured evaluation guidelines, Produce accurate evaluation outputs, Produce well-documented evaluation outputs, Produce high-quality evaluation outputs", "domainKnowledge" : "Customer support interactions; 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Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio evaluation, French language, Customer support simulation. Design role-play evaluation scenarios. 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Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio evaluation, French language proficiency. Design role-play evaluation scenarios. Execute role-play evaluation scenarios", "postedDate" : "2026-06-15T12:53:12.031", "createdAt" : "2026-06-15T12:53:12.031", "lastUpdated" : "2026-06-16T12:41:20.486", "ingestTimestamp" : "2026-06-16T03:21:40.629", "mongoId" : "6a305118f292fd229cef9a72", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12480, "salaryAnnualMax" : 135200, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Qualitative metrics evaluation", "Quantitative metrics evaluation", "Conversational performance auditing", "Audio dataset creation", "Audio dataset refinement", "Evaluation guideline adherence", "AI evaluation", "Audio evaluation", "French language proficiency", "Role-play evaluation", "Conversational quality assessment", "Technical reasoning assessment", "Customer support interactions", "Travel domain", "Finance domain", "Technical services domain", "JSON structures", "Support workflows" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305118f292fd229cef9a7b", "title" : "French Audio Evaluations Specialist - Freelance AI Trainer Project", "industry" : "Others", "salary" : { "min" : 6.0, "max" : 65.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Ireland", "locations" : [ "Ireland" ], "timestamp" : "2026-06-16T12:27:33.792", "fingerprint" : "933364bf26cb6fe6d108e6186e3fc507577d4f11244e112974ca506e890176fd", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/fb80b2bf-7c6d-464b-ac59-6eff70bb640c/apply", "externalId" : "fb80b2bf-7c6d-464b-ac59-6eff70bb640c", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "CONTRACT", "technicalSkills" : "JSON", "professionalSkills" : [ "Role-play evaluation", "Data evaluation", "Conversational performance assessment", "Technical reasoning assessment", "Dataset creation", "Dataset refinement", "Evaluation guideline adherence", "Independent work" ], "hardSkillsList" : [ "Audio evaluation", "Qualitative metrics", "Quantitative metrics", "Structured data accuracy", "Programming concepts", "Logical reasoning" ], "hardSkills" : [ { "name" : "Audio evaluation", "level" : "intermediate" }, { "name" : "Qualitative metrics", "level" : "intermediate" }, { "name" : "Quantitative metrics", "level" : "intermediate" }, { "name" : "Structured data accuracy", "level" : "intermediate" }, { "name" : "Programming concepts", "level" : "intermediate" }, { "name" : "Logical reasoning", "level" : "intermediate" } ], "majorSkills" : "Audio evaluation, AI training, French language", "majorSkillsList" : [ "Audio evaluation", "AI training", "French language" ], "coreResponsibilities" : "Design role-play evaluation scenarios, Execute role-play evaluation scenarios, Evaluate AI-generated audio outputs, Audit conversational performance, Assess technical reasoning in AI outputs, Contribute to dataset creation, Contribute to dataset refinement, Follow evaluation guidelines, Produce evaluation outputs, Document evaluation outputs", "domainKnowledge" : "Customer support interactions; 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Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: Audio evaluation, AI training, French language. Design role-play evaluation scenarios. 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Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio evaluation, Linguistics. Design role-play evaluation scenarios. 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Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: Audio evaluation, AI training, French language. Design role-play evaluation scenarios. 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Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio datasets, Conversational AI. Design role-play evaluation scenarios. 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Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, French language, Audio datasets. Design role-play evaluation scenarios. 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Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio datasets. Design role-play evaluation scenarios. 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Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. 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Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio evaluation, French language proficiency. Design role-play evaluation scenarios. 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Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, French language proficiency, Customer support experience. Design role-play evaluation scenarios. 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Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: Audio evaluation, AI training, Role-play simulation. Design role-play evaluation scenarios. Evaluate AI-generated audio outputs", "postedDate" : "2026-06-15T12:50:23.857", "createdAt" : "2026-06-15T12:50:23.857", "lastUpdated" : "2026-06-16T12:19:27.817", "ingestTimestamp" : "2026-06-16T03:24:59.091", "mongoId" : "6a305118f292fd229cef9a77", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12480, "salaryAnnualMax" : 135200, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Linguistics", "Data integrity", "Conversational quality assessment", "Structured data accuracy", "Audio evaluation", "AI training", "Role-play simulation", "Technical troubleshooting", "AI evaluation", "Customer support interactions", "Technical services", "AI audio", "Conversational AI" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305118f292fd229cef9a6d", "title" : "French Audio Evaluations Specialist - Freelance AI Trainer Project", "industry" : "Others", "salary" : { "min" : 6.0, "max" : 65.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "India", "locations" : [ "India" ], "timestamp" : "2026-06-16T10:53:17.976", "fingerprint" : "69a864f69a23d275dc76988277bacdc999b396ded17c2ff6d99fa3c31f740baf", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/9abcd230-e7b2-416b-9d6d-13677c92a70b/apply", "externalId" : "9abcd230-e7b2-416b-9d6d-13677c92a70b", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "India", "employmentType" : "CONTRACT", "technicalSkills" : "JSON", "professionalSkills" : [ "Role-play evaluation", "Conversational performance assessment", "Technical reasoning assessment" ], "hardSkillsList" : [ "Qualitative metrics", "Quantitative metrics", "Data integrity" ], "hardSkills" : [ { "name" : "Qualitative metrics", "level" : "intermediate" }, { "name" : "Quantitative metrics", "level" : "intermediate" }, { "name" : "Data integrity", "level" : "intermediate" } ], "majorSkills" : "AI evaluation, Audio evaluation, French language", "majorSkillsList" : [ "AI evaluation", "Audio evaluation", "French language" ], "coreResponsibilities" : "Design role-play evaluation scenarios, Execute role-play evaluation scenarios, Evaluate AI-generated audio outputs, Audit conversational performance, Assess technical reasoning in AI outputs, Contribute to audio dataset creation, Refine audio dataset creation, Follow structured evaluation guidelines, Produce accurate evaluation outputs, Produce well-documented evaluation outputs, Produce high-quality evaluation outputs", "domainKnowledge" : "Customer support interactions; Technical support workflows; Conversational AI", "domainList" : [ "customer-support-interactions", "technical-support-workflows", "conversational-ai" ], "domainSpecificKnowledge" : [ "Customer support interactions", "Technical support workflows", "Conversational AI" ], "communicationSkills" : "Written communication; Spoken communication; Listening skills; Reading skills", "documentationSkills" : "Well-documented outputs", "problemSolvingSkills" : "Analytical skills", "specialRequirements" : "High-quality microphone required, Stable internet connection required", "qualificationsBasic" : "Native or bilingual proficiency in French, Excellent spoken, written, listening, and reading skills, Proven experience in customer support, Proven experience in technical troubleshooting, Proven experience in linguistics, Proven experience in QA, Proven experience in AI evaluation, Analytical skills, Basic understanding of programming concepts, High attention to detail, Ability to work with structured evaluation rubrics, Ability to work with structured guidelines, Communication skills, Reliable access to high-quality microphone, Stable internet connection, Comfortable working independently", "qualificationsPreferred" : "Experience in travel domain, Experience in finance domain, Experience in technical services domain, Experience assessing technical reasoning, Experience with JSON structures, Experience with functions, Experience with methods, Experience with simple logic", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Accountabilities Design and execute complex role-play evaluation scenarios simulating real customer support interactions in domains such as travel, finance, and technical services. Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio evaluation, French language. Design role-play evaluation scenarios. Execute role-play evaluation scenarios", "postedDate" : "2026-06-15T12:39:04.773", "createdAt" : "2026-06-15T12:39:04.773", "lastUpdated" : "2026-06-16T10:53:17.976", "ingestTimestamp" : "2026-06-16T03:22:45.528", "mongoId" : "6a305118f292fd229cef9a6d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12480, "salaryAnnualMax" : 135200, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Qualitative metrics", "Quantitative metrics", "Data integrity", "AI evaluation", "Audio evaluation", "French language", "Role-play evaluation", "Conversational performance assessment", "Technical reasoning assessment", "Customer support interactions", "Technical support workflows", "Conversational AI" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69c94a6d9bc74574cbbb3756", "title" : "Data Collection Associate, V-CARE", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 16.0, "max" : 24.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-14T22:27:01.343", "fingerprint" : "71fa44e5e691edfc7b1f596fb703859c6207901c2d8c1a144b0a226407454aa7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3194803/apply", "externalId" : "3f9c4401-7ee0-4aa2-a218-8559f2666ac1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "hardSkillsList" : [ "Data collection" ], "softSkillsList" : [ "Teamwork" ], "hardSkills" : [ { "name" : "Data collection", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Teamwork" } ], "majorSkills" : "Data collection", "majorSkillsList" : [ "Data collection" ], "coreResponsibilities" : "Adhere to data collection protocol, Follow SOP to complete project objectives, Moderate and assist research participants, Support day-to-day operations of collection projects, Own defined tasks within projects, Improve parts of the data collection processes, Deliver high quality work, Communicate internally with team members, Identify issues, Propose solutions for sustainability of processes, Support several projects at one time, Accept re-prioritization as required, Perform basic troubleshooting tasks, Escalate technical issues as needed, Work indoor/outdoor in the field, Travel to multiple sites", "teamCollaboration" : "Partner with Program Coordinators; Partner with Data Collection Leads; Partner with Data Collection Specialists; Communicate with team members", "domainKnowledge" : "Consumer electronic research", "domainList" : [ "consumer-electronic-research" ], "domainSpecificKnowledge" : [ "Consumer electronic research" ], "toolProficiency" : [ "Confluence", "Quip", "Jira", "Salesforce" ], "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Travel to multiple sites within 50 miles, Lift up to 30lbs", "qualificationsBasic" : "Knowledge of Microsoft Office products, Reliable transportation", "qualificationsPreferred" : "Experience in research or data collection, Experience using Confluence, Quip, Jira, Salesforce, End-to-end, hands-on experience with aspects of data collections, Experience moderating a 1:1 session with users independently, Experience moderating sessions with users of different age and demographics, Consumer electronic research experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Associates will follow clear instructions and apply the best responses to multiple choice situations. The ideal candidate will be organized, detail oriented and have excellent interpersonal skills. They should be able to perform data collected related tasks and procedures in assigned areas with guidance from Data Collection Specialists and Leads. Key job responsibilities Key job responsibilities * Partner closely with Program Coordinators/Data Collection Leads/Data Collection Specialists by adhering to data collection protocol and follow SOP to complete project objectives * Work one-on-one with research participants by moderating and assisting them through the research process to ensure research objectives are met * Support day-to-day operations of collection projects including reporting, moderating, etc * Own defined tasks within projects focused on improving parts of the data collection processes * Deliver high quality work under tight deadlines * Communicate internally with team members to identify issues and propose solutions for long term sustainability of processes * Support several projects at one time and accept re-prioritization as required * Perform basic troubleshooting tasks on any technical issues during collection and escalate as needed * Work indoor/outdoor 4-5 days per week in the field, traveling to multiple sites within 50 miles (this is not a work from home role) * Lift up to 30lbs when needed Basic Qualifications: - Knowledge of Microsoft Office products and applications - A good sense of humor, a positive attitude and great team work skills - Reliable transportation Preferred Qualifications: - Experience in research or data collection - Experience using Confluence, Quip, Jira, Salesforce - End-to-end, hands-on experience with aspects of data collections (recruiting, moderation, reporting) - Experience moderating a 1:1 session with users independently in the field - Experience moderating sessions with users of different age and demographics is a big plus - Consumer electronic research experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, CA, Sunnyvale - 16.00 - 24.00 USD hourly", "summaryDescription" : "Data Collection Associate, V-CARE at Amazon.com Services LLC. Skills: Data collection. Adhere to data collection protocol. Follow SOP to complete project objectives", "postedDate" : "2026-06-13T03:48:09.340", "createdAt" : "2026-06-13T03:48:09.340", "lastUpdated" : "2026-06-14T22:27:01.343", "ingestTimestamp" : "2026-06-13T03:48:09.340", "mongoId" : "69c94a6d9bc74574cbbb3756", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3194803/apply", "salaryAnnualMin" : 33280, "salaryAnnualMax" : 49920, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data collection", "Teamwork", "Consumer electronic research", "Confluence", "Quip", "Jira", "Salesforce" ], "skillCount" : 7, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69fda4e54c40e2acd1b99a64", "title" : "Data Collection Specialist", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 19.0, "max" : 33.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T05:29:52.309", "fingerprint" : "96231c747d3ad883c5a260ef32d319463d913c5c38d376ce827e24a90888f24a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10412513/apply", "externalId" : "6df00c61-823c-44cc-a9a6-74b2121c30c9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "MS Office, Scripting languages, Unix/Linux, Mac OS, Confluence, JIRA, Wiki", "professionalSkills" : [ "Data collection", "Data auditing", "Data markup" ], "hardSkillsList" : [ "Data collection procedure", "Data recording", "Information documentation", "Data collection projects", "Collection protocol changes", "Quantitative data analysis" ], "softSkillsList" : [ "Organized", "Interpersonal skills", "Sense of humor", "Team work skills" ], "hardSkills" : [ { "name" : "Data collection procedure", "level" : "intermediate" }, { "name" : "Data recording", "level" : "intermediate" }, { "name" : "Information documentation", "level" : "intermediate" }, { "name" : "Data collection projects", "level" : "intermediate" }, { "name" : "Collection protocol changes", "level" : "intermediate" }, { "name" : "Quantitative data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Organized" }, { "name" : "Interpersonal skills" }, { "name" : "Sense of humor" }, { "name" : "Team work skills" } ], "majorSkills" : "Data collection, Data auditing, Data markup", "majorSkillsList" : [ "Data collection", "Data auditing", "Data markup" ], "coreResponsibilities" : "Learn collection procedure quickly, Execute collection procedure accurately, Record data, Document needed information, Identify issues in tools, Suggest tool enhancements, Understand changes to collection protocol", "teamCollaboration" : "Highly collaborative environment; Great team work skills", "domainKnowledge" : "Machine learning data processing", "domainList" : [ "machine-learning-data-processing" ], "domainSpecificKnowledge" : [ "Machine learning data processing" ], "toolProficiency" : [ "MS Office", "Confluence", "JIRA", "Wiki" ], "documentationSkills" : "Information documentation", "innovationCreativity" : "Improvements in data collection projects", "problemSolvingSkills" : "Addressing issues and problems", "qualificationsBasic" : "Computer skills, Proficiency in MS Office, Moderating data collection, Conducting data collection, Data auditing, Data markup, Machine learning data processing needs, Experience with prototype assets, Experience in research, Experience with scripting languages, Unix/Linux environment, Mac OS experience, Confluence experience, JIRA experience, Wiki tools experience", "qualificationsPreferred" : "Bachelor's degree or equivalent, Behavioral data collection experience, Scenario-driven data collection experience, Quantitative data analysis experience, Consumer electronic device flashing, Consumer electronic device readiness, Hardware testing experience, Software testing experience, Salesforce experience, JIRA experience, Agile/scrum workflow experience, Data collection evaluation experience, Peer-to-peer feedback experience, Working with multiple stakeholders, Supporting quantitative research, Supporting qualitative research, iOS systems experience, Android systems experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Specialists will need to learn quickly, execute the collection procedure accurately, record data, and document any needed information associated to data. The ideal candidate will be organized, detail-oriented, and have excellent interpersonal skills. S/He should be able to contribute to improvements in data collection projects by identifying any issues in tools and suggesting enhancements and understand changes to collection protocol in response to data needs and workflows. Passion for data, efficiency, and accuracy as well as proactive behavior in addressing issues and problems is a huge plus. Basic Qualifications: - Experience with computer skills, including proficiency in MS Office (Word, Excel, PowerPoint) - Experience in moderating and conducting data collection, data auditing, or other forms of data markup - Comfortable working in a fast paced, highly collaborative, dynamic work environment Practical knowledge of machine learning data processing needs and trade-offs Experience working with prototype assets Experience in research or data collection Experience with any scripting languages and Unix/Linux environment is a plus - A good sense of humor, a positive attitude, and great team work skills are a must Experience using Mac OS, Confluence, JIRA, and Wiki tools. Preferred Qualifications: - Bachelor's degree or equivalent - Experience with behavioral data collection, scenario-driven data collection and quantitative data analysis - Experience with consumer electronic device flashing and readiness - Experience in hardware and software testing - Experience with Salesforce or JIRA, or experience in agile/scrum or related collaborative workflow - Experience in data collection and evaluation to drive impact - Experience in providing peer-to-peer feedback - Experience working with multiple groups of stakeholders - Experience in supporting quantitative and qualitative consumer research - Experience with iOS and Android systems 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 starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, CA, Sunnyvale - 19.00 - 33.00 USD hourly", "summaryDescription" : "Data Collection Specialist at Amazon.com Services LLC. Skills: Data collection, Data auditing, Data markup. Learn collection procedure quickly. Execute collection procedure accurately", "postedDate" : "2026-06-13T12:05:13.166", "createdAt" : "2026-06-13T12:05:13.166", "lastUpdated" : "2026-06-15T05:29:52.309", "ingestTimestamp" : "2026-06-13T12:05:13.166", "mongoId" : "69fda4e54c40e2acd1b99a64", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10412513/apply", "salaryAnnualMin" : 39520, "salaryAnnualMax" : 68640, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data collection procedure", "Data recording", "Information documentation", "Data collection projects", "Collection protocol changes", "Quantitative data analysis", "Organized", "Interpersonal skills", "Sense of humor", "Team work skills", "Data collection", "Data auditing", "Data markup", "Machine learning data processing", "MS Office", "Confluence", "JIRA", "Wiki" ], "skillCount" : 18, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a21770d74d8ee00a0c1ba5d", "title" : "AI Data Associate with French", "company" : "Nuqtat Al Taknalojia", "industry" : "Editorial, Writing, Content Management, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 14000.0, "max" : 20000.0, "currency" : "JOD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level AI Data Associate in Amman, Jordan, adjusted for the technology industry." }, "location" : "Amman, JOR", "locations" : [ "Amman, JOR" ], "timestamp" : "2026-06-15T05:33:26.150", "fingerprint" : "6ca041e132ba7d04ac842d9f34a10f05574d86118c99d9ee82005e7a7542397d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10435530/apply", "externalId" : "e7711eb5-1fb9-47a5-8ace-54bb3776aba2", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amman", "country" : "Jordan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "31.9515694,35.9239625" } ], "locationText" : "Amman, Jordan", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "AI, Generative AI, Large language models", "hardSkillsList" : [ "Data labeling", "Dialogue evaluation" ], "hardSkills" : [ { "name" : "Data labeling", "level" : "intermediate" }, { "name" : "Dialogue evaluation", "level" : "intermediate" } ], "majorSkills" : "Data labeling, AI", "majorSkillsList" : [ "Data labeling", "AI" ], "coreResponsibilities" : "Maintain strict confidentiality, Work with diverse data types, Deliver high-quality labelled data, Meet KPIs, Generate human insight data, Make sound judgments, Make logical decisions, Pivot between requirements, Support daily operational deliverables, Analyze root causes, Identify error patterns, Propose solutions, Enhance labeling quality, Identify process issues, Suggest changes to unblock operations, Provide floor support, Clarify internal queries", "domainKnowledge" : "Generative AI; Large language models", "domainList" : [ "generative-ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Generative AI", "Large language models" ], "toolProficiency" : [ "In-house tools" ], "communicationSkills" : "Business writing; Professional correspondence", "problemSolvingSkills" : "Structured problem-solving; Root cause analysis", "outcomesObjectives" : "Meet KPIs", "qualificationsBasic" : "Associate's Degree or related work experience, B1+ English fluency, C1+ French fluency, Business writing skills, Advanced reading comprehension, Analytical thinking, Structured problem-solving, Interpret detailed instructions, Proficient research skills, Proven attention to detail", "qualificationsPreferred" : "Bachelor's degree, 2+ years professional experience, Leverage open-source resources, Adapt to fast-paced environments, 2-3 years project coordination, Manage stakeholder relationships, Advanced Microsoft Office Suite proficiency", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on! Key job responsibilities - Maintain and follow strict confidentiality as customer privacy is our most important tenet - Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video - Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly. - Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. - Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. - Eye for detail and ability to pivot from one category of requirement to another instantaneously. - Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team - Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs. - Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations - Demonstrate ownership in floor support to clarify internal queries during execution on need basis. A day in the life We are looking for an AI Data Associate to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications: - - An Associate’s Degree or related work experience - - Good working knowledge (B1+) in both spoken and written English - - C1+ or equivalent fluency in French language - - Strong business writing skills with ability to create reports, proposals, and professional correspondence - - Advanced reading comprehension with ability to analyze complex business documents - - Developed analytical thinking and structured problem-solving capabilities - - Strong ability to interpret and implement detailed instructions across various projects - - Proficient research skills with experience gathering and synthesizing information from multiple sources - - Proven attention to detail in managing complex tasks and documents Preferred Qualifications: - Bachelor’s degree in a relevant field - 2+ years of professional work experience with demonstrated task execution ability - Proven capacity to leverage open-source resources effectively for comprehensive research purposes - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy - 2-3 years project coordination or management experience - Experience managing stakeholder relationships across departments - Advanced proficiency in Microsoft Office Suite and common business applications. Our inclusive culture empowers Amazonians to deliver the best results for our customers. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "AI Data Associate with French at Nuqtat Al Taknalojia. Skills: Data labeling, AI. Maintain strict confidentiality. Work with diverse data types", "postedDate" : "2026-06-13T18:15:09.277", "createdAt" : "2026-06-13T18:15:09.277", "lastUpdated" : "2026-06-15T05:33:26.150", "ingestTimestamp" : "2026-06-13T18:15:09.277", "mongoId" : "6a21770d74d8ee00a0c1ba5d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10435530/apply", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data labeling", "Dialogue evaluation", "AI", "Generative AI", "Large language models", "In-house tools" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6d0574d8ee00a091cc71", "title" : "Product Data Collection Specialist", "company" : "Cartesian Systems", "industry" : "Retail", "salary" : { "min" : 65000.0, "max" : 80000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Cambridge, Massachusetts, United States", "locations" : [ "Cambridge", "Massachusetts", "United States" ], "timestamp" : "2026-06-15T13:30:59.027", "fingerprint" : "46e8f173cff12c4b62ebe7784b9412826af178044836519525ed78a4c7d78002", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/cartesiansystems/jobs/4284817009", "externalId" : "4284817009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cambridge", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3656347,-71.1040018" } ], "locationText" : "Cambridge, Massachusetts, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, SQL", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Scripting", "Troubleshooting", "Debugging" ], "hardSkills" : [ { "name" : "Scripting", "level" : "intermediate" }, { "name" : "Troubleshooting", "level" : "intermediate" }, { "name" : "Debugging", "level" : "intermediate" } ], "majorSkills" : "Product testing, Data collection, Field operations", "majorSkillsList" : [ "Product testing", "Data collection", "Field operations" ], "coreResponsibilities" : "Conduct product testing, Collect data, Travel to customer sites, Evaluate system performance, Collect datasets, Validate datasets, Analyze datasets, Test new features, Test mobile applications, Test workflows, Investigate bugs, Investigate edge cases, Investigate unexpected behavior, Provide feedback to engineering, Perform basic scripting, Perform troubleshooting, Perform debugging, Improve testing processes, Document testing processes, Improve data collection processes, Document data collection processes, Assist with map edits, Assist with data quality reviews, Assist with operational support", "teamCollaboration" : "Engineering teams; Product teams; Operations teams", "domainKnowledge" : "Indoor environments; Retail industry; In-store inventory visibility", "domainList" : [ "indoor-environments", "retail-industry", "in-store-inventory-visibility" ], "domainSpecificKnowledge" : [ "Indoor environments", "Retail industry", "In-store inventory visibility" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Document processes", "continuousLearning" : "Learning; Execution", "problemSolvingSkills" : "Problem-solving; Investigating problems; Troubleshooting; Debugging", "specialRequirements" : "Regular travel, Occasional regional travel, Travel to retail locations", "outcomesObjectives" : "Improve product accuracy; Improve product reliability; Increase quality; Increase consistency; Increase efficiency; Prioritize issues; Drive improvements", "qualificationsBasic" : "1+ years experience, Associate's or Bachelor's degree, Technical field degree, Equivalent practical experience", "qualificationsPreferred" : "Product testing experience, Field testing experience, QA experience, Beta testing experience, Experience collecting data, Experience validating data, Experience analyzing data, Retail experience, Customer support experience, Customer success experience, Field operations experience, Deployment roles experience, Python familiarity, SQL familiarity, Data analysis tools familiarity, Data pipelines support, Data quality monitoring support, Operational tooling support, Spanish language proficiency, Startup experience, Early-stage company experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Cartesian Cartesian is building spatial intelligence for indoor environments to drive operational efficiency. We’re tackling one of the biggest challenges in the $35T global retail industry: in-store inventory visibility. Our platform delivers accurate indoor positioning and actionable product location insights, helping retailers streamline operations, optimize workflows, and reduce inefficiencies. By fusing wireless signals and mobile computer vision, we provide a uniquely scalable, infrastructure-free solution already deployed by international fashion brands. Founded by an MIT engineering professor and alumni behind award-winning, patented core technologies, Cartesian spun out in 2023. Originally backed by a U. S. National Science Foundation SBIR Award, we’ve bootstrapped to a live product now deployed in multiple countries and are scaling aggressively. About the Role We are looking for a Product Data Collection Specialist to join Cartesian at a pivotal moment in our growth. This is a hands-on, impact-driven role focused on product testing, field operations, and data collection. You will spend significant time in retail environments evaluating product performance, collecting and validating data, identifying issues, and helping ensure our technology performs reliably in real-world conditions. Success in this role requires curiosity, attention to detail, and a strong sense of ownership. You should enjoy investigating problems, working directly with customers and retail environments, and collaborating closely with engineering, product, and operations teams to improve both our product and our processes. Location: In-person in Kendall Square, Cambridge, with regular travel to retail stores throughout the Boston area and occasional regional travel. Salary: $65,000 - $80,000 annually What You’ll Do Conduct product testing and data collection in retail store environments Travel to customer sites to evaluate system performance under real-world conditions Collect, validate, and analyze datasets used to improve product accuracy and reliability Test new product features, mobile applications, and workflows before deployment Investigate bugs, edge cases, and unexpected behavior, providing detailed feedback to engineering teams Perform basic scripting, troubleshooting, and debugging to support testing activities Improve and document testing and data collection processes to increase quality, consistency, and efficiency Assist with map edits, data quality reviews, and operational support activities Collaborate closely with engineering, product, and operations teams to prioritize issues and drive improvements Become a product expert and help represent customer and field perspectives within the organization Qualifications 1+ years of experience in a technical, operational, support, research, testing, or related role Strong attention to detail and ability to execute rigorous, repeatable testing processes Experience running scripts and working with technical tools Basic Python programming or scripting experience Strong problem-solving skills and ability to work independently in ambiguous environments Excellent written and verbal communication skills Professional, customer-facing demeanor Ability and willingness to travel regularly to retail locations Reliable, accountable, and highly organized Associate's or Bachelor's degree in a technical field or equivalent practical experience Nice to Have Experience with product testing, field testing, QA, or beta testing Experience collecting, validating, or analyzing data Experience in retail, customer support, customer success, field operations, or deployment roles Familiarity with Python, SQL, or data analysis tools Experience supporting data pipelines, data quality monitoring, or operational tooling Spanish language proficiency Startup or early-stage company experience Why Cartesian Work on hard, real-world problems with immediate and visible impact Join a small, highly technical team with significant ownership and autonomy Build systems that are deployed and used globally Collaborative, thoughtful, low-ego culture focused on learning and execution Opportunity to become a product expert and grow into roles across operations, deployment, testing, and product In-person team culture in the heart of Kendall Square, Cambridge If You’re Not Sure You’re a Perfect Fit We know that no one checks every box—and we don’t expect you to. If this role sounds exciting to you, and you think you could contribute to Cartesian’s mission, we encourage you to apply even if your experience doesn’t perfectly match the description. We care deeply about people who are curious, thoughtful, and motivated to learn, and we believe strong teams are built from a diversity of backgrounds, experiences, and perspectives. Interview Process Introductory conversation focused on motivation, background, and fit Technical exercise involving testing, analysis, and basic coding/problem-solving Follow-up technical discussion focused on reasoning, troubleshooting, and decision-making Final conversation with the hiring manager focused on ownership, communication, and culture fit References and offer", "summaryDescription" : "Product Data Collection Specialist at Cartesian Systems. Skills: Product testing, Data collection, Field operations. Conduct product testing. Collect data", "postedDate" : "2026-06-14T08:43:04.758", "createdAt" : "2026-06-14T08:43:04.758", "lastUpdated" : "2026-06-15T13:30:59.027", "ingestTimestamp" : "2026-06-14T08:43:04.758", "mongoId" : "6a2c6d0574d8ee00a091cc71", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 80000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Scripting", "Troubleshooting", "Debugging", "Product testing", "Data collection", "Field operations", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Indoor environments", "Retail industry", "In-store inventory visibility" ], "skillCount" : 16, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69cf3f092beec4dd3d93434a", "title" : "Data Collection Associate, V-CARE", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 20.0, "max" : 22.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T01:19:34.820", "fingerprint" : "5ed69561117886a2e9e1cbe93ad4c3c8343ce3d0edca196ff57d034a438711b5", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10381247/apply", "externalId" : "9b96c821-2ee9-4a60-ae13-a49538316438", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Adhere to data collection protocol, Follow SOP to complete project objectives, Moderate and assist research participants, Support day-to-day operations of collection projects, Own defined tasks within projects, Improve parts of the data collection processes, Deliver high quality work, Communicate internally with team members, Identify issues, Propose solutions for long term sustainability of processes, Support several projects at one time, Accept re-prioritization as required, Perform basic troubleshooting tasks on technical issues, Escalate technical issues as needed", "teamCollaboration" : "Partner closely with Program Coordinators/Data Collection Leads/Data Collection Specialists", "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Work indoor/outdoor 4-5 days per week, Traveling to multiple sites within 50 miles, Lift up to 30lbs", "qualificationsBasic" : "Knowledge of Microsoft Office products, Reliable transportation", "qualificationsPreferred" : "Experience in research or data collection, Experience using Confluence, Quip, Jira, Salesforce, End-to-end, hands-on experience with aspects of data collections, Experience moderating a 1:1 session with users independently, Experience moderating sessions with users of different age and demographics is a big plus, Consumer electronic research experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Associates will follow clear instructions and apply the best responses to multiple choice situations. The ideal candidate will be organized, detail oriented and have excellent interpersonal skills. They should be able to perform data collected related tasks and procedures in assigned areas with guidance from Data Collection Specialists and Leads. Key job responsibilities Key job responsibilities * Partner closely with Program Coordinators/Data Collection Leads/Data Collection Specialists by adhering to data collection protocol and follow SOP to complete project objectives * Work one-on-one with research participants by moderating and assisting them through the research process to ensure research objectives are met * Support day-to-day operations of collection projects including reporting, moderating, etc * Own defined tasks within projects focused on improving parts of the data collection processes * Deliver high quality work under tight deadlines * Communicate internally with team members to identify issues and propose solutions for long term sustainability of processes * Support several projects at one time and accept re-prioritization as required * Perform basic troubleshooting tasks on any technical issues during collection and escalate as needed * Work indoor/outdoor 4-5 days per week in the field, traveling to multiple sites within 50 miles (this is not a work from home role) * Lift up to 30lbs when needed Basic Qualifications: - Knowledge of Microsoft Office products and applications - A good sense of humor, a positive attitude and great team work skills - Reliable transportation Preferred Qualifications: - Experience in research or data collection - Experience using Confluence, Quip, Jira, Salesforce - End-to-end, hands-on experience with aspects of data collections (recruiting, moderation, reporting) - Experience moderating a 1:1 session with users independently in the field - Experience moderating sessions with users of different age and demographics is a big plus - Consumer electronic research experience 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 starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, WA, Bellevue - 20.00 - 22.00 USD hourly", "summaryDescription" : "Data Collection Associate, V-CARE at Amazon.com Services LLC. Adhere to data collection protocol. Follow SOP to complete project objectives", "postedDate" : "2026-06-13T03:13:32.360", "createdAt" : "2026-06-13T03:13:32.360", "lastUpdated" : "2026-06-15T01:19:34.820", "ingestTimestamp" : "2026-06-13T03:13:32.360", "mongoId" : "69cf3f092beec4dd3d93434a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10381247/apply", "salaryAnnualMin" : 41600, "salaryAnnualMax" : 45760, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69cf3f092beec4dd3d93434b", "title" : "Data Collection Specialist", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 17.0, "max" : 30.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arlington, Virginia, USA", "locations" : [ "Arlington, Virginia, USA" ], "timestamp" : "2026-06-15T01:58:29.389", "fingerprint" : "df2500f8314dde7ba09825a58565b96cc2620501e597eef78ac99626ee988721", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10381246/apply", "externalId" : "d2f1069a-f16a-4d8f-83c9-0f79c03f8361", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, Unix, Linux", "professionalSkills" : [ "Data collection", "Data processing" ], "hardSkillsList" : [ "Data collection", "Data processing" ], "softSkillsList" : [ "Team work" ], "hardSkills" : [ { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Team work" } ], "majorSkills" : "Data collection", "majorSkillsList" : [ "Data collection" ], "coreResponsibilities" : "Learn quickly, Execute collection procedure accurately, Record data, Document needed information associated to data, Contribute to improvements in data collection projects, Identify issues in tools, Suggest enhancements, Understand changes to collection protocol", "teamCollaboration" : "Fast-paced team environment; Highly collaborative environment; Dynamic work environment; Great team work", "domainKnowledge" : "Machine learning data processing", "domainList" : [ "machine-learning-data-processing" ], "domainSpecificKnowledge" : [ "Machine learning data processing" ], "toolProficiency" : [ "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki tools", "Quip", "Salesforce" ], "communicationSkills" : "Excellent communication", "documentationSkills" : "Document information", "problemSolvingSkills" : "Addressing issues; Addressing problems", "specialRequirements" : "Reliable transportation", "qualificationsBasic" : "Experience working in a fast-paced, team environment, Excellent communication skills, Organizational skills, Very detailed-oriented, Experience working in a corporate environment, Comfortable working in a fast paced, highly collaborative, dynamic work environment, Practical knowledge of machine learning data processing needs and trade-offs, Experience working with prototype assets, Experience in research or data collection, Experience with any scripting languages, Unix/Linux environment experience, A good sense of humor, A positive attitude, Great team work skills, Experience using MS Office, Excel experience, Mac OS experience, Confluence experience, JIRA experience, Wiki tools experience, Knowledge of Microsoft Office products and applications, Reliable transportation", "qualificationsPreferred" : "Bachelor's degree or equivalent, Experience using Confluence, Quip experience, Jira experience, Salesforce experience, End-to-end, hands-on experience with aspects of data collections, Experience moderating a 1:1 session with users independently in the field, Experience moderating sessions with users of different age and demographics, Consumer electronic research experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Specialists will need to learn quickly, execute the collection procedure accurately, record data, and document any needed information associated to data. The ideal candidate will be organized, detail-oriented, and have excellent interpersonal skills. S/He should be able to contribute to improvements in data collection projects by identifying any issues in tools and suggesting enhancements and understand changes to collection protocol in response to data needs and workflows. Passion for data, efficiency, and accuracy as well as proactive behavior in addressing issues and problems is a huge plus. Basic Qualifications: - Experience working in a fast-paced, team environment - Excellent communication, strong organizational skills and very detailed-oriented - Experience working in a corporate environment - Comfortable working in a fast paced, highly collaborative, dynamic work environment Practical knowledge of machine learning data processing needs and trade-offs Experience working with prototype assets Experience in research or data collection Experience with any scripting languages and Unix/Linux environment is a plus - A good sense of humor, a positive attitude, and great team work skills are a must Experience using MS Office, Excel, Mac OS, Confluence, JIRA, and Wiki tools. - Knowledge of Microsoft Office products and applications - Reliable transportation Preferred Qualifications: - Bachelor's degree or equivalent - Experience in research or data collection - - Experience using Confluence, Quip, Jira, Salesforce - - End-to-end, hands-on experience with aspects of data collections (recruiting, moderation, reporting) - - Experience moderating a 1:1 session with users independently in the field - - Experience moderating sessions with users of different age and demographics is a big plus - - Consumer electronic research experience 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 starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, VA, Arlington - 17.00 - 30.00 USD hourly", "summaryDescription" : "Data Collection Specialist at Amazon.com Services LLC. Skills: Data collection. Learn quickly. Execute collection procedure accurately", "postedDate" : "2026-06-13T05:54:27.865", "createdAt" : "2026-06-13T05:54:27.865", "lastUpdated" : "2026-06-15T01:58:29.389", "ingestTimestamp" : "2026-06-13T05:54:27.865", "mongoId" : "69cf3f092beec4dd3d93434b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10381246/apply", "salaryAnnualMin" : 35360, "salaryAnnualMax" : 62400, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data collection", "Data processing", "Team work", "Machine learning data processing", "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki tools", "Quip", "Salesforce" ], "skillCount" : 12, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69c94a6d9bc74574cbbb3764", "title" : "Data Collection Specialist", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 19.0, "max" : 33.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T03:43:25.429", "fingerprint" : "fb262e47f702be0e0f2114333024c42a788943bd46366f372d93a67f47dc7938", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3194786/apply", "externalId" : "6cb58604-4a39-4548-a15f-6c7ac23accb7", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, Unix/Linux", "professionalSkills" : [ "Data labeling", "Data annotation", "Linguistic annotation", "Data markup" ], "majorSkills" : "Data collection, Data annotation", "majorSkillsList" : [ "Data collection", "Data annotation" ], "coreResponsibilities" : "Learn quickly, Execute collection procedure accurately, Record data, Document needed information, Contribute to improvements in data collection projects, Identify issues in tools, Suggest enhancements, Understand changes to collection protocol", "teamCollaboration" : "Working with other employees; Communicate effectively and respectfully", "domainKnowledge" : "Natural language data labeling; Data annotation; Linguistic annotation; Data markup; Machine learning data processing", "domainList" : [ "natural-language-data-labeling", "data-annotation", "linguistic-annotation", "data-markup", "machine-learning-data-processing" ], "domainSpecificKnowledge" : [ "Natural language data labeling", "Data annotation", "Linguistic annotation", "Data markup", "Machine learning data processing" ], "toolProficiency" : [ "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki tools" ], "communicationSkills" : "Communicate effectively; Communicate respectfully", "documentationSkills" : "Document information", "innovationCreativity" : "Suggest enhancements", "problemSolvingSkills" : "Identify issues; Address issues; Address problems", "qualificationsBasic" : "Experience in natural language data labeling, Experience in data annotation, Experience in linguistic annotation, Experience in other forms of data markup, Experience working with prototype assets, Experience in research, Experience in data collection, Experience with scripting languages, Experience with Unix/Linux environment, Experience using MS Office, Experience using Excel, Experience using Mac OS, Experience using Confluence, Experience using JIRA, Experience using Wiki tools", "qualificationsPreferred" : "Bachelor's degree or equivalent", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Specialists will need to learn quickly, execute the collection procedure accurately, record data, and document any needed information associated to data. The ideal candidate will be organized, detail-oriented, and have excellent interpersonal skills. S/He should be able to contribute to improvements in data collection projects by identifying any issues in tools and suggesting enhancements and understand changes to collection protocol in response to data needs and workflows. Passion for data, efficiency, and accuracy as well as proactive behavior in addressing issues and problems is a huge plus. Basic Qualifications: - Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup - Comfortable working in a fast paced, highly collaborative, dynamic work environment Practical knowledge of machine learning data processing needs and trade-offs Experience working with prototype assets Experience in research or data collection Experience with any scripting languages and Unix/Linux environment is a plus - A good sense of humor, a positive attitude, and great team work skills are a must Experience using MS Office, Excel, Mac OS, Confluence, JIRA, and Wiki tools. Preferred Qualifications: - Bachelor's degree or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, CA, Sunnyvale - 19.00 - 33.00 USD hourly", "summaryDescription" : "Data Collection Specialist at Amazon.com Services LLC. Skills: Data collection, Data annotation. Learn quickly. Execute collection procedure accurately", "postedDate" : "2026-06-13T04:30:11.798", "createdAt" : "2026-06-13T04:30:11.798", "lastUpdated" : "2026-06-15T03:43:25.429", "ingestTimestamp" : "2026-06-13T04:30:11.798", "mongoId" : "69c94a6d9bc74574cbbb3764", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3194786/apply", "salaryAnnualMin" : 39520, "salaryAnnualMax" : 68640, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data collection", "Data annotation", "Data labeling", "Linguistic annotation", "Data markup", "Natural language data labeling", "Machine learning data processing", "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki tools" ], "skillCount" : 13, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69fda4e54c40e2acd1b99a61", "title" : "Data Collection Specialist", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 17.0, "max" : 30.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arlington, Virginia, USA", "locations" : [ "Arlington, Virginia, USA" ], "timestamp" : "2026-06-15T01:45:30.956", "fingerprint" : "4887c84c75422dbce6c0cc503e1c3fc730dee584928ecc8bacb2ef0ed257dd36", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10412515/apply", "externalId" : "7be0599e-57ce-48bc-9659-b699bb44101f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, Unix/Linux, Mac OS", "professionalSkills" : [ "Data collection", "Data auditing", "Data markup" ], "hardSkillsList" : [ "Quantitative data analysis" ], "softSkillsList" : [ "Team work skills" ], "hardSkills" : [ { "name" : "Quantitative data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Team work skills" } ], "majorSkills" : "Data collection", "majorSkillsList" : [ "Data collection" ], "coreResponsibilities" : "Learn data collection procedure, Execute data collection procedure, Record data, Document information associated to data, Contribute to improvements in data collection projects, Identify issues in tools, Suggest tool enhancements, Understand changes to collection protocol", "teamCollaboration" : "Highly collaborative environment; Great team work skills", "projectManagementSkills" : [ "Agile/scrum workflow" ], "domainKnowledge" : "Machine learning data processing", "domainList" : [ "machine-learning-data-processing" ], "domainSpecificKnowledge" : [ "Machine learning data processing" ], "toolProficiency" : [ "MS Office", "Mac OS", "Confluence", "JIRA", "Wiki tools" ], "documentationSkills" : "Document information", "problemSolvingSkills" : "Addressing issues and problems", "outcomesObjectives" : "Drive impact", "qualificationsBasic" : "Proficiency in MS Office, Data collection experience, Data auditing experience, Data markup experience, Scripting languages experience, Unix/Linux environment experience, Mac OS experience, Confluence experience, JIRA experience, Wiki tools experience", "qualificationsPreferred" : "Bachelor's degree or equivalent, Behavioral data collection experience, Scenario-driven data collection experience, Quantitative data analysis experience, Consumer electronic device flashing experience, Hardware and software testing experience, Salesforce experience, Agile/scrum workflow experience, Data collection and evaluation experience, Peer-to-peer feedback experience, Working with multiple stakeholders experience, Quantitative consumer research experience, Qualitative consumer research experience, iOS systems experience, Android systems experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Specialists will need to learn quickly, execute the collection procedure accurately, record data, and document any needed information associated to data. The ideal candidate will be organized, detail-oriented, and have excellent interpersonal skills. S/He should be able to contribute to improvements in data collection projects by identifying any issues in tools and suggesting enhancements and understand changes to collection protocol in response to data needs and workflows. Passion for data, efficiency, and accuracy as well as proactive behavior in addressing issues and problems is a huge plus. Basic Qualifications: - Experience with computer skills, including proficiency in MS Office (Word, Excel, PowerPoint) - Experience in moderating and conducting data collection, data auditing, or other forms of data markup - Comfortable working in a fast paced, highly collaborative, dynamic work environment Practical knowledge of machine learning data processing needs and trade-offs Experience working with prototype assets Experience in research or data collection Experience with any scripting languages and Unix/Linux environment is a plus - A good sense of humor, a positive attitude, and great team work skills are a must Experience using Mac OS, Confluence, JIRA, and Wiki tools. Preferred Qualifications: - Bachelor's degree or equivalent - Experience with behavioral data collection, scenario-driven data collection and quantitative data analysis - Experience with consumer electronic device flashing and readiness - Experience in hardware and software testing - Experience with Salesforce or JIRA, or experience in agile/scrum or related collaborative workflow - Experience in data collection and evaluation to drive impact - Experience in providing peer-to-peer feedback - Experience working with multiple groups of stakeholders - Experience in supporting quantitative and qualitative consumer research - Experience with iOS and Android systems 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 starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, VA, Arlington - 17.00 - 30.00 USD hourly", "summaryDescription" : "Data Collection Specialist at Amazon.com Services LLC. Skills: Data collection. Learn data collection procedure. Execute data collection procedure", "postedDate" : "2026-06-13T04:02:37.826", "createdAt" : "2026-06-13T04:02:37.826", "lastUpdated" : "2026-06-15T01:45:30.956", "ingestTimestamp" : "2026-06-13T04:02:37.826", "mongoId" : "69fda4e54c40e2acd1b99a61", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10412515/apply", "salaryAnnualMin" : 35360, "salaryAnnualMax" : 62400, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Quantitative data analysis", "Team work skills", "Data collection", "Data auditing", "Data markup", "Agile/scrum workflow", "Machine learning data processing", "MS Office", "Mac OS", "Confluence", "JIRA", "Wiki tools" ], "skillCount" : 12, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a305762f292fd229cf390d6", "title" : "Collection Manager", "company" : "Toss", "industry" : "FinTech", "salary" : { "min" : 6.5E7, "max" : 9.5E7, "currency" : "KRW", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Collection Manager in Seoul, South Korea, adjusted for the banking industry and company size." }, "location" : "Seoul, Seoul, South Korea", "locations" : [ "Seoul", "Seoul", "South Korea" ], "timestamp" : "2026-06-16T08:37:21.889", "fingerprint" : "3c76bb1850513c0599ccd712c85379d626012e1ff6679bada4c43ad391c05e37", "source" : "greenhouse", "language" : "ko", "applyUrl" : "https://toss.im/career/job-detail?gh_jid=7773277003", "externalId" : "7773277003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seoul", "state" : "Seoul", "country" : "South Korea", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "37.5534363,126.9697994" } ], "locationText" : "Seoul, Seoul, South Korea", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "Performance management", "Contract management", "Fee structure planning", "Operational planning", "Data analysis", "Strategy planning", "Action item execution", "Recovery strategy", "Operational improvement", "Data analysis", "Strategy development", "Action item execution", "Recovery operations", "Operational improvement", "Data analysis", "Experimentation", "Collection management", "Innovation" ], "hardSkillsList" : [ "Performance analysis", "Fee structure design", "Recovery strategy design", "Operational improvement", "Data analysis", "Strategy planning", "Action item execution", "Recovery operations management", "Recovery efficiency improvement", "Data analysis", "Experimentation" ], "hardSkills" : [ { "name" : "Performance analysis", "level" : "intermediate" }, { "name" : "Fee structure design", "level" : "intermediate" }, { "name" : "Recovery strategy design", "level" : "intermediate" }, { "name" : "Operational improvement", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Strategy planning", "level" : "intermediate" }, { "name" : "Action item execution", "level" : "intermediate" }, { "name" : "Recovery operations management", "level" : "intermediate" }, { "name" : "Recovery efficiency improvement", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Experimentation", "level" : "intermediate" } ], "majorSkills" : "Collection strategy, Outsourcing management, Recovery operations, Data analysis", "majorSkillsList" : [ "Collection strategy", "Outsourcing management", "Recovery operations", "Data analysis" ], "coreResponsibilities" : "Manage performance of collection outsourcing partners, Manage contracts with collection outsourcing partners, Operate and manage collection outsourcing business, Plan fee structures for outsourcing partners, Design and execute operational plans to increase recovery, Analyze delinquency and recovery performance metrics, Plan recovery strategies based on analysis, Execute action items for recovery strategies, Manage short-term recovery operations, Continuously improve outsourcing partner recovery efficiency, Innovate collection management through data analysis and experiments", "domainKnowledge" : "Post-loan management; Collection outsourcing; Fee structures; Recovery metrics; Regulatory changes; Personal debtor protection act; Personal business loan 119", "domainList" : [ "post-loan-management", "collection-outsourcing", "fee-structures", "recovery-metrics", "regulatory-changes", "personal-debtor-protection-act", "personal-business-loan-119" ], "domainSpecificKnowledge" : [ "Post-loan management", "Collection outsourcing", "Fee structures", "Recovery metrics", "Regulatory changes", "Personal debtor protection act", "Personal business loan 119" ], "communicationSkills" : "Stakeholder coordination", "problemSolvingSkills" : "Data analysis; Strategy development", "outcomesObjectives" : "Increase recovery rates; Improve outsourcing partner recovery efficiency; Innovate collection management", "qualificationsBasic" : "3+ years of experience in post-loan management in the financial sector, Experience operating collection outsourcing partners, Experience planning or changing fee structures, Experience changing operational methods, Domain knowledge of post-loan management policies and systems, High understanding of post-loan management, Ability to handle data proficiently, Ability to connect performance analysis to strategy development, Ability to proactively coordinate communication with various stakeholders", "qualificationsPreferred" : "Experience in write-offs, legal actions, or subrogation, Experience reflecting regulatory changes in collection operations, Communication experience with industry groups or regulatory authorities, Experience resolving internal discussion points", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "합류하게 될 팀에 대해 알려드려요 토스뱅크 Collection Manager는 Collection Tribe 내 Collection Strategy Team에 속하게 돼요. Collection Strategy Team은 NPL Management Team과 함께 토스뱅크의 여신 사후관리 업무를 담당해요. 그 중 Collection Strategy Team은 연체가 부실로 넘어가지 않도록 방어하고, 추심·회수 전략을 수립하여 명확한 액션아이템을 도출하는 역할을 맡고 있어요. 이번에 합류하실 분은 특히 채권추심 업무위탁사(위임사) 운영을 중심으로, 회수율을 높이기 위한 다양한 시도를 함께하실 분을 기대하고 있어요. 합류하면 함께할 업무예요 채권추심 업무위탁사(위임사)의 성과 관리, 계약 관리 등 채권추심 업무위탁 관련 업무 전반을 운영·관리해요. 위임사 수수료 체계(스킴)를 기획하고, 회수 성과를 높이기 위한 운영 방안을 설계·실행해요. 연체율 및 회수 관련 성과 지표를 분석하고, 분석 결과를 바탕으로 회수 전략을 기획하여 액션 아이템을 실행해요. 연체가 장기화되지 않도록 단기 회수 운영을 관리하며, 위임사의 회수 효율을 지속적으로 개선해요. 데이터 분석과 다양한 실험을 통해 기존 금융사의 관습과는 다른 채권관리의 혁신을 만들어요. 이런 분과 함께하고 싶어요 금융권에서 여신 사후관리 업무를 3년 이상 경험해오신 분을 찾고 있어요. 특히 채권추심 업무위탁사(위임사) 운영 경험이 있고, 수수료 스킴을 직접 기획하거나 운영 방식에 변화를 만들어본 경험이 있으신 분이 필요해요. 여신 사후관리 정책 및 제도에 대한 도메인 지식과 전문성을 갖춘 분이 필요해요. 사후관리 업무 전반에 대한 이해도가 높고, 데이터를 능숙하게 다루어 성과 분석과 전략 도출까지 연결할 수 있으면 좋아요. 다양한 이해관계자와의 커뮤니케이션을 주도적으로 조율할 수 있는 역량이 있으면 좋아요. 매상각·법조치·대위변제 등 사후관리 전반의 운영 경험이 있다면 좋아요. 이력서는 이렇게 작성하시는 걸 추천해요 채권추심 업무위탁(위임사) 운영 관련해서 회수 성과를 향상시킨 경험을 구체적으로 작성해주세요. 특히 수수료 스킴을 기획하거나 운영 방식에 변화를 준 사례가 있다면 꼭 담아주세요. 개인채무자보호법, 개인사업자대출119 등 제도 변화에 맞춰 채권추심이나 채권추심 업무위탁 등 실질적인 여신관리 업무에 이를 반영한 구체적인 경험을 작성해주세요. 그 과정에서 업권 단체 또는 감독 당국 등과 소통한 경험이나 내부 논의 과정에서 있었던 쟁점, 그리고 이를 어떻게 해결했는지가 드러나면 더욱 좋아요. 토스뱅크팀은 서류 내용의 구체성을 중요하게 생각해요. 기존 업무를 단순한 시계열로 나열하기보다는, JD를 기준으로 사례와 성과에 기반한 경험을 상세히 기재해주세요. 토스뱅크로의 합류 여정 서류접수 > 직무 인터뷰 > 문화적합성 인터뷰 > 레퍼런스 체크 > 처우협의 > 최종합격 및 입사 꼭 확인해주세요 이력서 및 제출 서류에 허위 사실이 발견되거나 근무 이력 중 징계사항이 확인될 경우, 채용이 취소될 수 있어요. 장애인 및 국가보훈대상자는 지원 시 관련법에 따라 우대하고 있어요. 토스뱅크 내부규정상 결격사유 해당자 또는 금융기관 인력 채용 상 결격사유 해당자는 채용이 취소될 수 있어요. 함께 할 동료를 위한 한마디 \"새로운 은행의 기반을 튼튼히 닦는 일에 임팩트있게 기여할 수 있어요.\" 토스뱅크는 중저신용 고객을 포용하여 새로운 은행을 만들고 있어요. 앞으로 토스뱅크의 대출이 더욱 다양해지고 늘어나더라도, 단단하게 운영할 수 있도록 하는 것이 저희의 가장 큰 목표예요. 이 목표 달성을 위해서 안정적인 연체율/회수율 관리에 자신 있는 동료를 기다리고 있으니 많은 지원과 관심 부탁드려요!", "summaryDescription" : "Collection Manager at Toss. Skills: Collection strategy, Outsourcing management, Recovery operations, Data analysis. Manage performance of collection outsourcing partners. Manage contracts with collection outsourcing partners", "postedDate" : "2026-06-15T23:29:25.135", "createdAt" : "2026-06-15T23:29:25.135", "lastUpdated" : "2026-06-16T08:37:21.889", "ingestTimestamp" : "2026-06-15T23:29:25.135", "mongoId" : "6a305762f292fd229cf390d6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Performance analysis", "Fee structure design", "Recovery strategy design", "Operational improvement", "Data analysis", "Strategy planning", "Action item execution", "Recovery operations management", "Recovery efficiency improvement", "Experimentation", "Collection strategy", "Outsourcing management", "Recovery operations", "Performance management", "Contract management", "Fee structure planning", "Operational planning", "Recovery strategy", "Strategy development", "Collection management", "Innovation", "Post-loan management", "Collection outsourcing", "Fee structures", "Recovery metrics", "Regulatory changes", "Personal debtor protection act", "Personal business loan 119" ], "skillCount" : 28, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Banking", "llmIndustryConfidence" : 0.95 }, { "id" : "69c94a6d9bc74574cbbb376c", "title" : "Data Collection Specialist", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 19.0, "max" : 33.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T00:04:16.939", "fingerprint" : "6edc2192ebb3a706cfc9832344c2d03f1a68aeb11c74e72e5748e11009f454e0", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3194783/apply", "externalId" : "3fa0d337-f5ac-45c2-93bd-f67344cfa3ff", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, Unix/Linux", "professionalSkills" : [ "Data labeling", "Data annotation", "Linguistic annotation", "Data markup" ], "majorSkills" : "Data collection, Data annotation", "majorSkillsList" : [ "Data collection", "Data annotation" ], "coreResponsibilities" : "Learn quickly, Execute collection procedure accurately, Record data, Document needed information, Contribute to improvements in data collection projects, Identify issues in tools, Suggest enhancements, Understand changes to collection protocol", "teamCollaboration" : "Working with other employees; Communicate effectively and respectfully", "toolProficiency" : [ "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki tools" ], "communicationSkills" : "Interpersonal skills", "documentationSkills" : "Document information", "innovationCreativity" : "Suggest enhancements", "problemSolvingSkills" : "Addressing issues; Addressing problems", "qualificationsBasic" : "Experience in natural language data labeling, Experience in data annotation, Experience in linguistic annotation, Experience in other forms of data markup, Experience working with prototype assets, Experience in research, Experience in data collection, Experience with scripting languages, Experience with Unix/Linux environment, Experience using MS Office, Experience using Excel, Experience using Mac OS, Experience using Confluence, Experience using JIRA, Experience using Wiki tools", "qualificationsPreferred" : "Bachelor's degree or equivalent", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Specialists will need to learn quickly, execute the collection procedure accurately, record data, and document any needed information associated to data. The ideal candidate will be organized, detail-oriented, and have excellent interpersonal skills. S/He should be able to contribute to improvements in data collection projects by identifying any issues in tools and suggesting enhancements and understand changes to collection protocol in response to data needs and workflows. Passion for data, efficiency, and accuracy as well as proactive behavior in addressing issues and problems is a huge plus. Basic Qualifications: - Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup - Comfortable working in a fast paced, highly collaborative, dynamic work environment Practical knowledge of machine learning data processing needs and trade-offs Experience working with prototype assets Experience in research or data collection Experience with any scripting languages and Unix/Linux environment is a plus - A good sense of humor, a positive attitude, and great team work skills are a must Experience using MS Office, Excel, Mac OS, Confluence, JIRA, and Wiki tools. Preferred Qualifications: - Bachelor's degree or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, CA, Sunnyvale - 19.00 - 33.00 USD hourly", "summaryDescription" : "Data Collection Specialist at Amazon.com Services LLC. Skills: Data collection, Data annotation. Learn quickly. Execute collection procedure accurately", "postedDate" : "2026-06-13T02:24:00.108", "createdAt" : "2026-06-13T02:24:00.108", "lastUpdated" : "2026-06-15T00:04:16.939", "ingestTimestamp" : "2026-06-13T02:24:00.108", "mongoId" : "69c94a6d9bc74574cbbb376c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3194783/apply", "salaryAnnualMin" : 39520, "salaryAnnualMax" : 68640, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data collection", "Data annotation", "Data labeling", "Linguistic annotation", "Data markup", "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki tools" ], "skillCount" : 11, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69c94a6d9bc74574cbbb3765", "title" : "Data Collection Specialist", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 21.0, "max" : 30.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T01:37:09.708", "fingerprint" : "63871b582f22e1b394131df9c21974dc7ad34068876fa4337fbbb609fb528faa", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3194798/apply", "externalId" : "eead4785-328b-4204-a345-c03136e2bbff", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Scripting languages, Unix, Linux, MS Office, Excel, Mac OS, Confluence, JIRA, Wiki", "professionalSkills" : [ "Data labeling", "Data annotation", "Linguistic annotation", "Data markup" ], "hardSkillsList" : [ "Data collection", "Data markup", "Data processing" ], "hardSkills" : [ { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Data markup", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" } ], "majorSkills" : "Data collection, Data annotation, Data markup", "majorSkillsList" : [ "Data collection", "Data annotation", "Data markup" ], "coreResponsibilities" : "Learn quickly, Execute collection procedure accurately, Record data, Document needed information, Contribute to improvements in data collection projects, Identify issues in tools, Suggest enhancements, Understand changes to collection protocol", "teamCollaboration" : "Highly collaborative environment", "domainKnowledge" : "Machine learning data processing", "domainList" : [ "machine-learning-data-processing" ], "domainSpecificKnowledge" : [ "Machine learning data processing" ], "toolProficiency" : [ "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki" ], "communicationSkills" : "Excellent communication", "documentationSkills" : "Document information", "problemSolvingSkills" : "Addressing issues; Addressing problems", "qualificationsBasic" : "Experience in natural language data labeling, Data annotation experience, Linguistic annotation experience, Data markup experience, Excellent communication skills, Organizational skills, Very detailed-oriented, Experience working in a corporate environment, Practical knowledge of machine learning data processing needs, Experience working with prototype assets, Experience in research, Experience in data collection, Experience with scripting languages, Unix/Linux environment experience, Great team work skills, Experience using MS Office, Experience using Excel, Experience using Mac OS, Experience using Confluence, Experience using JIRA, Experience using Wiki tools", "qualificationsPreferred" : "Bachelor's degree or equivalent, Experience using Quip, Experience using Salesforce, End-to-end data collections experience, Recruiting experience, Moderation experience, Reporting experience, Moderating a 1:1 session independently, Moderating sessions with users of different age and demographics", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Specialists will need to learn quickly, execute the collection procedure accurately, record data, and document any needed information associated to data. The ideal candidate will be organized, detail-oriented, and have excellent interpersonal skills. S/He should be able to contribute to improvements in data collection projects by identifying any issues in tools and suggesting enhancements and understand changes to collection protocol in response to data needs and workflows. Passion for data, efficiency, and accuracy as well as proactive behavior in addressing issues and problems is a huge plus. Basic Qualifications: - Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup - Excellent communication, strong organizational skills and very detailed-oriented - Experience working in a corporate environment - Comfortable working in a fast paced, highly collaborative, dynamic work environment Practical knowledge of machine learning data processing needs and trade-offs Experience working with prototype assets Experience in research or data collection Experience with any scripting languages and Unix/Linux environment is a plus - A good sense of humor, a positive attitude, and great team work skills are a must Experience using MS Office, Excel, Mac OS, Confluence, JIRA, and Wiki tools. Preferred Qualifications: - Bachelor's degree or equivalent - Experience in research or data collection - - Experience using Confluence, Quip, Jira, Salesforce - - End-to-end, hands-on experience with aspects of data collections (recruiting, moderation, reporting) - - Experience moderating a 1:1 session with users independently in the field - - Experience moderating sessions with users of different age and demographics is a big plus - - Consumer electronic research experience 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 starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, WA, Bellevue - 21.00 - 30.00 USD hourly", "summaryDescription" : "Data Collection Specialist at Amazon.com Services LLC. Skills: Data collection, Data annotation, Data markup. Learn quickly. Execute collection procedure accurately", "postedDate" : "2026-06-13T02:21:05.827", "createdAt" : "2026-06-13T02:21:05.827", "lastUpdated" : "2026-06-15T01:37:09.708", "ingestTimestamp" : "2026-06-13T02:21:05.827", "mongoId" : "69c94a6d9bc74574cbbb3765", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3194798/apply", "salaryAnnualMin" : 43680, "salaryAnnualMax" : 62400, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data collection", "Data markup", "Data processing", "Data annotation", "Data labeling", "Linguistic annotation", "Machine learning data processing", "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki" ], "skillCount" : 13, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69c94a6d9bc74574cbbb3762", "title" : "Data Collection Specialist", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 21.0, "max" : 30.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T01:23:35.587", "fingerprint" : "74fbaa0b66723e19cbffcab560ec44e423b52a58d02315d65115cb64f8163525", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3194789/apply", "externalId" : "76366312-841f-4f2c-8ce0-f15f8ddb2a0f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, Unix, Linux, MS Office, Excel", "professionalSkills" : [ "Data labeling", "Data annotation", "Linguistic annotation", "Data markup", "Data collection", "Quantitative analysis", "Statistics" ], "hardSkillsList" : [ "Data markup", "Data collection", "Quantitative analysis", "Statistics" ], "softSkillsList" : [ "Organized", "Interpersonal skills", "Sense of humor", "Team work skills" ], "hardSkills" : [ { "name" : "Data markup", "level" : "intermediate" }, { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Statistics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Organized" }, { "name" : "Interpersonal skills" }, { "name" : "Sense of humor" }, { "name" : "Team work skills" } ], "majorSkills" : "Data collection, Data annotation, Data markup", "majorSkillsList" : [ "Data collection", "Data annotation", "Data markup" ], "coreResponsibilities" : "Learn quickly, Execute collection procedure accurately, Record data, Document needed information, Contribute to improvements in data collection projects, Identify issues in tools, Suggest enhancements, Understand changes to collection protocol", "teamCollaboration" : "Highly collaborative environment; Great team work skills", "domainKnowledge" : "Natural language data labeling; Data annotation; Linguistic annotation; Data markup; Machine learning data processing; Behavioral data collection; Quantitative data analysis; Agile/scrum workflow", "domainList" : [ "natural-language-data-labeling", "data-annotation", "linguistic-annotation", "data-markup", "machine-learning-data-processing", "behavioral-data-collection", "quantitative-data-analysis", "agile-scrum-workflow" ], "domainSpecificKnowledge" : [ "Natural language data labeling", "Data annotation", "Linguistic annotation", "Data markup", "Machine learning data processing", "Behavioral data collection", "Quantitative data analysis", "Agile/scrum workflow" ], "toolProficiency" : [ "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki tools" ], "documentationSkills" : "Document information", "innovationCreativity" : "Suggest enhancements", "problemSolvingSkills" : "Addressing issues; Addressing problems", "qualificationsBasic" : "Experience in natural language data labeling, Experience in data annotation, Experience in linguistic annotation, Experience in other forms of data markup, Experience working with prototype assets, Experience in research or data collection, Experience with any scripting languages, Experience with Unix/Linux environment, Experience using MS Office, Experience using Excel, Experience using Mac OS, Experience using Confluence, Experience using JIRA, Experience using Wiki tools", "qualificationsPreferred" : "Bachelor's degree or equivalent, Experience with behavioral data collection, Experience with quantitative data analysis, Experience with statistics, Experience with Salesforce, Experience with JIRA, Experience in agile/scrum, Experience in related collaborative workflow, Experience in data collection and evaluation, Experience in providing peer-to-peer feedback, Experience working with multiple groups of stakeholders, Experience in supporting quantitative and qualitative consumer research", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Specialists will need to learn quickly, execute the collection procedure accurately, record data, and document any needed information associated to data. The ideal candidate will be organized, detail-oriented, and have excellent interpersonal skills. S/He should be able to contribute to improvements in data collection projects by identifying any issues in tools and suggesting enhancements and understand changes to collection protocol in response to data needs and workflows. Passion for data, efficiency, and accuracy as well as proactive behavior in addressing issues and problems is a huge plus. Basic Qualifications: - Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup - Comfortable working in a fast paced, highly collaborative, dynamic work environment Practical knowledge of machine learning data processing needs and trade-offs Experience working with prototype assets Experience in research or data collection Experience with any scripting languages and Unix/Linux environment is a plus - A good sense of humor, a positive attitude, and great team work skills are a must Experience using MS Office, Excel, Mac OS, Confluence, JIRA, and Wiki tools. Preferred Qualifications: - Bachelor's degree or equivalent - Experience with behavioral data collection, quantitative data analysis, and statistics - Experience with Salesforce or JIRA, or experience in agile/scrum or related collaborative workflow - Experience in data collection and evaluation to drive impact - Experience in providing peer-to-peer feedback - Experience working with multiple groups of stakeholders - Experience in supporting quantitative and qualitative consumer research 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 starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, WA, Bellevue - 21.00 - 30.00 USD hourly", "summaryDescription" : "Data Collection Specialist at Amazon.com Services LLC. Skills: Data collection, Data annotation, Data markup. Learn quickly. Execute collection procedure accurately", "postedDate" : "2026-06-13T02:00:28.863", "createdAt" : "2026-06-13T02:00:28.863", "lastUpdated" : "2026-06-15T01:23:35.587", "ingestTimestamp" : "2026-06-13T02:00:28.863", "mongoId" : "69c94a6d9bc74574cbbb3762", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3194789/apply", "salaryAnnualMin" : 43680, "salaryAnnualMax" : 62400, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data markup", "Data collection", "Quantitative analysis", "Statistics", "Organized", "Interpersonal skills", "Sense of humor", "Team work skills", "Data annotation", "Data labeling", "Linguistic annotation", "Natural language data labeling", "Machine learning data processing", "Behavioral data collection", "Quantitative data analysis", "Agile/scrum workflow", "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki tools" ], "skillCount" : 22, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a30811cf292fd229c068e03", "title" : "Associate Account Director (French)", "company" : "LinkedIn", "industry" : "Internet", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Associate Account Director in Dublin, Ireland, adjusted for junior seniority and SaaS industry." }, "location" : "Dublin, D, IE", "locations" : [ "Dublin", "D", "IE" ], "timestamp" : "2026-06-16T14:55:29.263", "fingerprint" : "557f47008242cff9f08ccaf6f3904c250f12c2db5f2d8fa011feaa15378f3198", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LinkedIn3/744000132147519-associate-account-director-french-linkedin-talent-solutions-", "externalId" : "744000132147519", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dublin", "country" : "Ireland", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "53.3493795,-6.2605593" } ], "locationText" : "Dublin, Ireland", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "professionalSkills" : [ "Account Management", "Sales cycle management", "Pipeline management", "Forecasting", "Commercial proposals" ], "softSkillsList" : [ "Negotiation" ], "softSkills" : [ { "name" : "Negotiation" } ], "majorSkills" : "B2B Sales, Account Management, Upselling, New Business Development", "majorSkillsList" : [ "B2B Sales", "Account Management", "Upselling", "New Business Development" ], "coreResponsibilities" : "Uncover net new upsell opportunity, Expand existing accounts, Deliver maximum value through solutions, Serve as trusted advisor, Partner with customers on utilization, Partner with customers on renewal discussions, Identify new business opportunities, Capture new business opportunities, Build multi-level relationships, Align solutions to customer goals, Articulate value to drive retention, Articulate value to drive renewals, Articulate value to drive expansion, Assess customer needs, Adapt to customer needs, Mitigate risk, Maximize long-term impact, Own full sales cycle, Prospect within book of business, Call actively, Conduct structured outreach, Leverage tech stack, Drive systematic engagement, Drive insight-led engagement, Develop account plans, Execute account plans, Grow wallet share, Position value, Overcome objections, Craft commercially sound proposals, Collaborate cross-functionally, Drive adoption, Drive customer success, Deliver accurate forecasting, Maintain pipeline hygiene, Contribute to sales culture", "teamCollaboration" : "Cross-functionally", "domainKnowledge" : "Talent Solutions; HR technology; E-Learning solutions; SaaS pricing models; Enterprise buying behaviour; Industry headwinds; Market tailwinds", "domainList" : [ "talent-solutions", "hr-technology", "e-learning-solutions", "saas-pricing-models", "enterprise-buying-behaviour", "industry-headwinds", "market-tailwinds" ], "domainSpecificKnowledge" : [ "Talent Solutions", "HR technology", "E-Learning solutions", "SaaS pricing models", "Enterprise buying behaviour", "Industry headwinds", "Market tailwinds" ], "toolProficiency" : [ "CRM", "Sales engagement tools", "Data platforms", "AI platforms" ], "communicationSkills" : "Data-driven storytelling", "outcomesObjectives" : "Exceeding sales targets", "qualificationsBasic" : "2+ years B2B sales, Business French, Business English, 1+ years complex sales cycles", "qualificationsPreferred" : "Experience selling SaaS, Experience selling HR technology, Experience selling E-Learning solutions, Familiarity with Salesforce.com, Familiarity with Dynamics, Familiarity with other CRM platforms, Grasp of SaaS pricing models, Grasp of contract terms, Grasp of enterprise buying behaviour, Generate outbound pipeline, Close high-value deals, Exceeding sales targets", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. At LinkedIn, our approach to flexible work is centred on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. We are looking for a dynamic and results-focused Associate Account Director to join our team with a strong hunter mindset combined with a strategic relationship approach. This role is responsible for uncovering net new upsell opportunity, expanding existing accounts, and delivering maximum value through our solutions. You will serve as a trusted advisor and while expected to partner with your customers on utilisation and renewal discussions, you will also work proactively identifying and capturing new business opportunities across your book of business. You will possess a strong commercial orientation, thrive on prospecting and closing deals, and excel at building long-term partnerships that drive growth. If you're a top seller who balances consultative insight with pipeline rigor and quota performance, this role is for you. Strategic Account Leadership * Build deep, multi-level relationships within client organizations, acting as a trusted advisor and advocate. * Align solutions to customer business goals, articulating value to drive retention, renewals, and expansion. * Continuously assess and adapt to customer needs, mitigating risk and maximizing long-term impact. This includes a deep understanding of industry and market headwinds and tailwinds. Growth Execution & Hunting Mindset * Own the full sales cycle for renewals and upsells with a strong emphasis on proactive discovery and qualification. * Prospect actively within your book of business, supported by a high volume of calling and structured outreach. * Leverage the full tech stack (CRM, sales engagement tools, data and AI platforms) to drive systematic, insight-led engagement. * Develop and execute account plans that uncover new opportunities and grow wallet share in complex stakeholder environments. Commercial Acumen & Collaboration Use data-driven storytelling to position value, overcome objections, and craft commercially sound proposals. * Collaborate cross-functionally to drive adoption and customer success as part of your go-to-market motion. * Deliver accurate forecasting, maintain pipeline hygiene, and contribute to a high-performance sales culture. ## Qualifications Basic Qualifications * 2+ years of success in a quota-carrying B2B sales role * Business fluency in French and English * 1+ years’ experience navigating complex sales cycles with multiple decision-makers Preferred Qualifications * Experience selling SaaS, HR technology, or E-Learning solutions * Familiarity with Salesforce.com, Dynamics, or other leading CRM platforms * Strong grasp of SaaS pricing models, contract terms, and enterprise buying behaviour * Demonstrated ability to generate outbound pipeline and close high-value deals * Consistent track record of exceeding sales targets in fast-paced, high-growth environments Suggested skills * Negotiation * Forecasting * Account Management * Communication ## Additional Information Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.", "summaryDescription" : "Associate Account Director (French) at LinkedIn. Skills: B2B Sales, Account Management, Upselling, New Business Development. Uncover net new upsell opportunity. Expand existing accounts", "postedDate" : "2026-06-15T08:54:45.000", "createdAt" : "2026-06-16T01:41:31.647", "lastUpdated" : "2026-06-16T14:55:29.263", "ingestTimestamp" : "2026-06-16T01:41:31.647", "mongoId" : "6a30811cf292fd229c068e03", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Negotiation", "B2B Sales", "Account Management", "Upselling", "New Business Development", "Sales cycle management", "Pipeline management", "Forecasting", "Commercial proposals", "Talent Solutions", "HR technology", "E-Learning solutions", "SaaS pricing models", "Enterprise buying behaviour", "Industry headwinds", "Market tailwinds", "CRM", "Sales engagement tools", "Data platforms", "AI platforms" ], "skillCount" : 20, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "conversational data collection associate audio recording arabic french jobs", "metadata" : { "title" : "conversational data collection associate audio recording arabic french" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 52813, "totalPages" : 1057, "hasNext" : true, "hasPrevious" : false } }

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