{ "count" : 52204, "data" : [ { "id" : "6a2c91a574d8ee00a0983848", "title" : "Dutch Audio Specialist - Freelance AI Trainer Project", "company" : "Meridial", "salary" : { "min" : 41000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-Senior Dutch Audio Specialist in the Technology industry, adjusted for a remote contract role." }, "location" : "Worldwide - Remote", "locations" : [ "Worldwide - Remote" ], "timestamp" : "2026-06-15T07:48:04.834", "fingerprint" : "77b440cd02c26b1e2a7c975205b5350b378fffd7df84f2e36aee7707ac9fe365", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/agency/jobs/4896019101", "externalId" : "4896019101", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid-Senior Level", "coreResponsibilities" : "Evaluate AI models, Audit conversational AI outputs, Generate datasets, Optimize model performance", "domainKnowledge" : "Agentic audio models; Customer support scenarios", "domainList" : [ "agentic-audio-models", "customer-support-scenarios" ], "domainSpecificKnowledge" : [ "Agentic audio models", "Customer support scenarios" ], "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Project Overview We are sourcing independent Audio Evaluation Specialists for an AI benchmark evaluation project assessing advanced agentic audio models. As AI models increasingly handle complex workflows in this domain—specifically real-world customer support scenarios like flight bookings, financial services, and telecommunications—their accuracy relies entirely on robust, expert-crafted training data. The objective of this project is to autonomously produce high-quality evaluation tasks through simulated interactions, audit conversational AI outputs, and generate clean, reliable datasets to optimize model performance. Project Deliverables company‑sponsored benefits such as health insurance and PTO do not apply. Engagement Type: Freelance / Independent Contractor Workplace Type: Remote Seniority Level: Mid-Senior Level", "summaryDescription" : "Dutch Audio Specialist - Freelance AI Trainer Project at Meridial. Evaluate AI models. Audit conversational AI outputs", "postedDate" : "2026-06-13T21:23:39.097", "createdAt" : "2026-06-13T21:23:39.097", "lastUpdated" : "2026-06-15T07:48:04.834", "ingestTimestamp" : "2026-06-13T21:23:39.097", "mongoId" : "6a2c91a574d8ee00a0983848", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Agentic audio models", "Customer support scenarios" ], "skillCount" : 2, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 1257.463, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2c6ace74d8ee00a090e1b4", "title" : "Voice Recording Specialist - Japanese and Chinese", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 100000.0, "max" : 180000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for an Entry-level Voice Recording Specialist in China, adjusted for the technology industry and remote work." }, "location" : "ICL - Remote - CN", "locations" : [ "ICL - Remote - CN" ], "timestamp" : "2026-06-16T04:13:20.049", "fingerprint" : "cef05d5c0eabceb8e261e7c16a351599afe5c29701c51ae59a79b5ccecee7fc7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4265217009", "externalId" : "4265217009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "China", "continent" : "as", "workMode" : "remote" } ], "locationText" : "China", "majorSkills" : "Voice recording, Language collection, Transcription, Audio quality", "majorSkillsList" : [ "Voice recording", "Language collection", "Transcription", "Audio quality" ], "coreResponsibilities" : "Record high-quality audio, Read scripts naturally, Perform basic audio reviews, Follow recording instructions, Support transcription tasks, Support annotation tasks, Support language quality assurance tasks, Meet productivity deadlines, Meet project deadlines, Collaborate with project managers, Collaborate with language teams", "domainKnowledge" : "Generative AI; AI systems", "domainList" : [ "generative-ai", "ai-systems" ], "domainSpecificKnowledge" : [ "Generative AI", "AI systems" ], "toolProficiency" : [ "Recording software", "Mobile apps", "Computer-based tools" ], "communicationSkills" : "Verbal communication", "qualificationsBasic" : "Fluent in Chinese and Japanese, Clear pronunciation in both languages, Verbal communication skills", "qualificationsPreferred" : "Prior voice recording experience, Translation experience, Localization experience, Customer support experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: We are seeking a bilingual Voice Recording Specialist fluent in both Chinese and Japanese to support voice recording, language collection, transcription, and audio quality projects. This role involves recording scripted and conversational audio while maintaining accuracy, pronunciation quality, and consistency across recordings. The ideal candidate has strong verbal communication skills, clear pronunciation in both languages, and the ability to follow detailed recording guidelines. What You’ll Own: Record high-quality audio in Chinese and Japanese for voice and language projects Read scripts naturally and accurately with proper pronunciation and tone Perform basic audio reviews to ensure recording quality and clarity Follow recording instructions, language guidelines, and project requirements Support transcription, annotation, or language quality assurance tasks as needed Meet productivity and project deadlines Collaborate with project managers and language teams You’ll Thrive in This Role If You Have: Fluent in Chinese and Japanese (spoken and written) Strong pronunciation and verbal communication skills Comfortable using recording software, mobile apps, or computer-based tools Excellent attention to detail Ability to work independently and manage deadlines Prior voice recording, translation, localization, or customer support experience is a plus The expected hourly salary range for this position is $20 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.", "summaryDescription" : "Voice Recording Specialist - Japanese and Chinese at Innodata Inc.. Skills: Voice recording, Language collection, Transcription, Audio quality. Record high-quality audio. Read scripts naturally", "postedDate" : "2026-06-14T18:38:03.390", "createdAt" : "2026-06-14T18:38:03.390", "lastUpdated" : "2026-06-16T04:13:20.049", "ingestTimestamp" : "2026-06-14T18:38:03.390", "mongoId" : "6a2c6ace74d8ee00a090e1b4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Voice recording", "Language collection", "Transcription", "Audio quality", "Generative AI", "AI systems", "Recording software", "Mobile apps", "Computer-based tools" ], "skillCount" : 9, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 1255.8723, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.85 }, { "id" : "69fda4e24c40e2acd1b9971a", "title" : "AI Data Associate with Dutch", "company" : "Evi Technologies Limited", "industry" : "Editorial, Writing, Content Management, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 30000.0, "max" : 40000.0, "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." }, "location" : "London, England, GBR", "locations" : [ "London, England, GBR" ], "timestamp" : "2026-06-15T06:30:57.980", "fingerprint" : "0033710fa81dccb0ebeb77bbfae68ee1fbc7cba50d2c9c4645b0dfb0d797d5d7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10413756/apply", "externalId" : "441852d8-12ff-4c45-b57a-b568cb0fb7da", "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", "hardSkillsList" : [ "Data labeling", "Dialogue evaluation", "Root cause analysis", "Error pattern identification" ], "softSkillsList" : [ "Analytical thinking", "Structured problem-solving", "Attention to detail", "Judgment", "Logical decision making", "Individuality", "Creativity" ], "hardSkills" : [ { "name" : "Data labeling", "level" : "intermediate" }, { "name" : "Dialogue evaluation", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Error pattern identification", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical thinking" }, { "name" : "Structured problem-solving" }, { "name" : "Attention to detail" }, { "name" : "Judgment" }, { "name" : "Logical decision making" }, { "name" : "Individuality" }, { "name" : "Creativity" } ], "majorSkills" : "Data labeling, AI development, LLM deployment", "majorSkillsList" : [ "Data labeling", "AI development", "LLM deployment" ], "coreResponsibilities" : "Maintain strict confidentiality, Work with different types of data, Deliver high-quality labelled data, Meet KPIs, Generate high quality human insight data, Make sound judgments, Make logical decisions, Demonstrate support on daily operational deliverables, Analyze root causes, Identify error patterns, Propose solutions to enhance quality, Identify process and operational issues, Suggest changes to unblock operations, Provide floor support, Clarify internal queries", "teamCollaboration" : "Diverse team", "domainKnowledge" : "Generative AI; Large language models; Human-technology interaction", "domainList" : [ "generative-ai", "large-language-models", "human-technology-interaction" ], "domainSpecificKnowledge" : [ "Generative AI", "Large language models", "Human-technology interaction" ], "toolProficiency" : [ "In-house tools", "Business applications" ], "communicationSkills" : "Business writing; Professional correspondence", "innovationCreativity" : "Think out of the box", "problemSolvingSkills" : "Root cause analysis; Error pattern identification; Structured problem-solving", "specialRequirements" : "Fixed term contract (12 months), Work from London office 5 days a week", "outcomesObjectives" : "Meet KPIs", "qualificationsBasic" : "Associate’s Degree or related work experience, CEFR C1+ fluency in Dutch, 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", "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! This is a fixed term contract for 12 months and will require you to work from our London office 5 days a week. Key job responsibilities - Maintain and follow strict confidentiality as customer privacy is our most important tenet - Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video - Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly. - Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. - Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. - Eye for detail and ability to pivot from one category of requirement to another instantaneously. - Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team - Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs. - Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations - Demonstrate ownership in floor support to clarify internal queries during execution on need basis A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications: - An Associate’s Degree or related work experience - CEFR C1+ fluency in Dutch 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 - 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 with Dutch at Evi Technologies Limited. Skills: Data labeling, AI development, LLM deployment. Maintain strict confidentiality. Work with different types of data", "postedDate" : "2026-06-13T10:09:01.289", "createdAt" : "2026-06-13T10:09:01.289", "lastUpdated" : "2026-06-15T06:30:57.980", "ingestTimestamp" : "2026-06-13T10:09:01.289", "mongoId" : "69fda4e24c40e2acd1b9971a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10413756/apply", "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data labeling", "Dialogue evaluation", "Root cause analysis", "Error pattern identification", "Analytical thinking", "Structured problem-solving", "Attention to detail", "Judgment", "Logical decision making", "Individuality", "Creativity", "AI development", "LLM deployment", "Generative AI", "Large language models", "Human-technology interaction", "In-house tools", "Business applications" ], "skillCount" : 18, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "_score" : 1150.3301, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c6ace74d8ee00a090e152", "title" : "Audio Solutions Architect", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 150000.0, "max" : 230000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "INN - Remote - US", "locations" : [ "INN - Remote - US" ], "timestamp" : "2026-06-15T03:18:24.996", "fingerprint" : "01e2669a4fd7b00117c5ad17425f378b03a797d3dd6f9d94db7bc95e351afe88", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4282289009", "externalId" : "4282289009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Speech AI, Generative AI, AI", "professionalSkills" : [ "Thought leadership", "Go-to-market research", "Content production", "Public speaking" ], "hardSkillsList" : [ "Audio technical specifications", "Transcript/metadata schemas", "Quality metrics", "Annotation", "Audio production" ], "hardSkills" : [ { "name" : "Audio technical specifications", "level" : "intermediate" }, { "name" : "Transcript/metadata schemas", "level" : "intermediate" }, { "name" : "Quality metrics", "level" : "intermediate" }, { "name" : "Annotation", "level" : "intermediate" }, { "name" : "Audio production", "level" : "intermediate" } ], "majorSkills" : "Audio data, Speech AI, Data collection", "majorSkillsList" : [ "Audio data", "Speech AI", "Data collection" ], "coreResponsibilities" : "Be technical partner to customers, Be external technical voice, Sit with frontier lab, Sit with enterprise team, Understand customer training needs, Shape data collection program, Keep us at frontier of speech AI, Produce go-to-market research, Produce content, Speak at conferences, Establish Innodata as credible partner", "teamCollaboration" : "Presales teams; Frontier lab teams; Enterprise teams", "domainKnowledge" : "Speech AI; Conversational voice models; Text-to-speech; Speech recognition; Speech-to-speech", "domainList" : [ "speech-ai", "conversational-voice-models", "text-to-speech", "speech-recognition", "speech-to-speech" ], "domainSpecificKnowledge" : [ "Speech AI", "Conversational voice models", "Text-to-speech", "Speech recognition", "Speech-to-speech" ], "communicationSkills" : "Conference stage presence", "qualificationsBasic" : "Technical authority in sales, Public body of work in speech/audio, Hands-on experience with speech datasets, Background working with AI lab, Background working with voice-AI company", "qualificationsPreferred" : "Multilingual / localization exposure", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: Innodata builds the high-quality voice and audio datasets that power the world's leading speech AI — text-to-speech, speech recognition, and the new generation of speech-to-speech and conversational voice models. We're hiring an Audio Solutions Architect to be both the technical partner to our customers in presales and the external technical voice of our audio practice. This is a hybrid role with two equally weighted halves. In presales, you sit with a frontier lab or enterprise team, understand what they're trying to train, and shape the data collection program that gets them there. In thought leadership, you keep us at the frontier of speech AI — producing go-to-market research and content, speaking at conferences, and establishing Innodata as the most technically credible audio data partner in the market. The two reinforce each other. What You’ll Own: Presales comfortable being the technical authority in a sales conversation and on a conference stage. Familiarity with audio technical specifications (sample rates, LUFS, formats), transcript/metadata schemas, and quality metrics (WER, DER). A public body of work in speech/audio: talks, papers, blog posts, benchmarks. Hands-on experience with speech datasets, annotation, or audio production. Background working with or at a frontier AI lab or voice-AI product company. Multilingual / localization exposure. The expected salary range for this position is $150,000 – $230,000 USD per year, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.", "summaryDescription" : "Audio Solutions Architect at Innodata Inc.. Skills: Audio data, Speech AI, Data collection. Be technical partner to customers. Be external technical voice", "postedDate" : "2026-06-13T20:53:35.781", "createdAt" : "2026-06-13T20:53:35.781", "lastUpdated" : "2026-06-15T03:18:24.996", "ingestTimestamp" : "2026-06-13T20:53:35.781", "mongoId" : "6a2c6ace74d8ee00a090e152", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 230000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Audio technical specifications", "Transcript/metadata schemas", "Quality metrics", "Annotation", "Audio production", "Audio data", "Speech AI", "Data collection", "Thought leadership", "Go-to-market research", "Content production", "Public speaking", "Conversational voice models", "Text-to-speech", "Speech recognition", "Speech-to-speech" ], "skillCount" : 16, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 1088.991, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305118f292fd229cef9a6e", "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" : "Germany", "locations" : [ "Germany" ], "timestamp" : "2026-06-16T15:16:45.820", "fingerprint" : "8d5abda3e79a7ffb7269941614a89ef4ad87d570b1ba0992fe933948d329b09c", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/a5f34b9b-7026-494a-9b99-d964a0d8f5ac/apply", "externalId" : "a5f34b9b-7026-494a-9b99-d964a0d8f5ac", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Germany", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Germany", "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 datasets, Conversational AI", "majorSkillsList" : [ "AI evaluation", "Audio datasets", "Conversational AI" ], "coreResponsibilities" : "Design 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 datasets, Follow structured evaluation guidelines, Ensure consistency and reliability, Produce accurate evaluation outputs, Document evaluation outputs", "domainKnowledge" : "Customer support interactions; Travel domain; Finance domain; Technical services domain; JSON structures; Support workflows", "domainList" : [ "customer-support-interactions", "travel-domain", "finance-domain", "technical-services-domain", "json-structures", "support-workflows" ], "domainSpecificKnowledge" : [ "Customer support interactions", "Travel domain", "Finance domain", "Technical services domain", "JSON structures", "Support workflows" ], "communicationSkills" : "Realistic role-play simulations", "documentationSkills" : "Well-documented outputs", "specialRequirements" : "Remote freelance environment", "qualificationsBasic" : "Native or bilingual proficiency in French, Excellent spoken, written, listening, and reading skills in French, Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation, Analytical skills, Basic understanding of programming concepts, High attention to detail, Ability to work with structured evaluation rubrics and guidelines, Reliable access to a high-quality microphone, Stable internet connection", "qualificationsPreferred" : "Experience in AI evaluation-related work", "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. Skills: AI evaluation, Audio datasets, Conversational AI. Design role-play evaluation scenarios. Evaluate AI-generated audio outputs", "postedDate" : "2026-06-15T12:52:02.646", "createdAt" : "2026-06-15T12:52:02.646", "lastUpdated" : "2026-06-16T15:16:45.820", "ingestTimestamp" : "2026-06-16T03:20:43.414", "mongoId" : "6a305118f292fd229cef9a6e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12480, "salaryAnnualMax" : 135200, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Qualitative metrics", "Quantitative metrics", "Data integrity", "AI evaluation", "Audio datasets", "Conversational AI", "Role-play evaluation", "Conversational performance assessment", "Technical reasoning assessment", "Customer support interactions", "Travel domain", "Finance domain", "Technical services domain", "JSON structures", "Support workflows" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 1025.0634, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "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, "_score" : 1000.4331, "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, "_score" : 991.79474, "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, "_score" : 985.1779, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2d413b74d8ee00a0b3a90c", "title" : "English Speakers Needed (North America) – One-Hour Audio Recording Project", "company" : "Lifted", "industry" : "Staffing And Recruiting", "salary" : { "min" : 15000.0, "max" : 30000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for entry-level remote contract roles in the technology industry, adjusted for North American market." }, "location" : "Toronto, ON, Canada", "locations" : [ "Toronto", "ON", "Canada" ], "timestamp" : "2026-06-15T09:21:11.894", "fingerprint" : "fbe4c8c7f1b925fad15c717e95c74d261b1b5d64d002b3c764083aa5ebc83d6c", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LiftedanUpworkCompany/3743990013531276-english-speakers-needed-north-america-one-hour-audio-recording-project", "externalId" : "3743990013531276", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "experienceLevel" : "not-applicable", "technicalSkills" : "Speech technology, Language technology", "hardSkillsList" : [ "Audio recording", "Prompted speech recording" ], "hardSkills" : [ { "name" : "Audio recording", "level" : "intermediate" }, { "name" : "Prompted speech recording", "level" : "intermediate" } ], "majorSkills" : "Voice data collection, Audio recording", "majorSkillsList" : [ "Voice data collection", "Audio recording" ], "coreResponsibilities" : "Record prompted speech, Complete recording in quiet environment, Speak naturally and clearly, Submit audio recordings", "domainKnowledge" : "Speech and language technologies", "domainList" : [ "speech-and-language-technologies" ], "domainSpecificKnowledge" : [ "Speech and language technologies" ], "toolProficiency" : [ "Virtual recording platform" ], "communicationSkills" : "Speak clearly", "specialRequirements" : "One-hour audio recording", "qualificationsBasic" : "Native English speakers, Currently located in North America, Reliable internet connection, Access to computer, microphone, Access to quiet recording environment", "qualificationsPreferred" : "XLR microphone preferred, Laptop and Bluetooth microphones discouraged", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We are seeking native English speakers located in North America to participate in a voice data collection project. Participants will record approximately one hour of audio through a virtual recording studio to support the development of speech and language technologies. This is a straightforward recording task and does not require professional voice acting experience or a professional recording setup. The recordings collected for this project will be used for research and development purposes only. What You'll Do * Record approximately 1 hour of prompted speech using our virtual recording platform * Complete the recording in a quiet environment * Speak naturally and clearly throughout the session * Audio recordings will be automatically submitted from the studio for review upon completion ## Qualifications Who We're Looking For * Native English speakers * Currently located in North America * Able to follow recording instructions carefully * Reliable internet connection, and access to a computer, microphone and quiet recording environment * No prior voice acting or recording experience is required. Audio Sample Requirement: * No audition is required for this project. * However, for the proposal, all applicants must submit a short audio sample recorded using the same microphone, device, and environment they intend to use for the project. * Please submit a sample that is approximately 30–60 seconds in length. Recording Requirements To ensure high-quality recordings, participants must: * Record in a quiet indoor environment * Use a consistent recording setup throughout the session * Speak clearly and at a natural pace * Ensure their voice can be heard clearly at all times * Minimize background noise and interruptions Technical Requirements * System Configuration: Your talent must ensure their audio hardware, interface, or microphone is set to a sample rate that matches the recording settings used in the Studio that we provide access to. * Equipment: An XLR microphone is the best option. Use of laptop and Bluetooth microphones is strongly discouraged. * Microphone Positioning: The microphone should be placed approximately 6 to 8 inches from the mouth. * Required Audio Metrics : The Studio setup check will measure noise floor, voice level, and signal-to-noise ratio, and will check for clipping before recording begins. * Environmental Consistency: The setup check only measures metrics at the moment the test runs. Any subsequent changes to background noise, microphone position, or gain and volume settings will affect the final audio. Scripts * The scripts are not continuous and consist of different utterances spoken separately. You will record these in the studio and they will be automatically sent to the end client. Because of this, there will be no need for post editing, naming, or splitting. The following are NOT permitted during recording: * Television, music, podcasts, or other audio playing in the background * Conversations from other people * Fans, appliances, or other persistent background noise * Turning on noisy devices during the recording session * Recording while driving or in public spaces Recordings that do not meet quality standards may be rejected. ## Additional Information Important Notes * Recordings must be completed by the selected participant. AI-generated or synthetic voices are strictly prohibited. * Recordings are subject to quality review. * Audio recordings will be used for research and technology development purposes. When applying, please include your short audio sample recorded with the setup you intend to use for the project in your Upwork proposal.", "summaryDescription" : "English Speakers Needed (North America) – One-Hour Audio Recording Project at Lifted. Skills: Voice data collection, Audio recording. Record prompted speech. Complete recording in quiet environment", "postedDate" : "2026-06-09T11:10:28.000", "createdAt" : "2026-06-14T05:07:37.489", "lastUpdated" : "2026-06-15T09:21:11.894", "ingestTimestamp" : "2026-06-14T05:07:37.489", "mongoId" : "6a2d413b74d8ee00a0b3a90c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 15000, "salaryAnnualMax" : 30000, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Audio recording", "Prompted speech recording", "Voice data collection", "Speech and language technologies", "Virtual recording platform" ], "skillCount" : 5, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 979.568, "daysOld" : 5, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.85 }, { "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, "_score" : 975.16376, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2d3f2774d8ee00a0b34c9e", "title" : "English Speakers Needed (North America) – One-Hour Audio Recording Project", "company" : "Lifted", "industry" : "Staffing And Recruiting", "salary" : { "min" : 15000.0, "max" : 25000.0, "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" : "Toronto, ON, Canada", "locations" : [ "Toronto", "ON", "Canada" ], "timestamp" : "2026-06-16T04:08:49.799", "fingerprint" : "011fae7dc1a67433227093c59949d6830da7eeaaa307368eebb707ce8835e0a3", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LiftedanUpworkCompany/3743990013531276-english-speakers-needed-north-america-one-hour-audio-recording-project", "externalId" : "3743990013531276", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "CONTRACT", "experienceLevel" : "not-applicable", "technicalSkills" : "Audio hardware, Microphone, Computer", "hardSkillsList" : [ "Audio recording", "Speech technology" ], "hardSkills" : [ { "name" : "Audio recording", "level" : "intermediate" }, { "name" : "Speech technology", "level" : "intermediate" } ], "majorSkills" : "Voice data collection, Audio recording", "majorSkillsList" : [ "Voice data collection", "Audio recording" ], "coreResponsibilities" : "Record approximately 1 hour of prompted speech, Complete the recording in a quiet environment, Speak naturally and clearly, Submit audio recordings from the studio, Ensure audio hardware matches recording settings, Place microphone 6 to 8 inches from mouth, Minimize background noise and interruptions, Avoid television, music, podcasts in background, Avoid conversations from other people, Avoid fans, appliances, or persistent noise, Avoid turning on noisy devices, Avoid recording, driving, Avoid recording in public spaces", "domainKnowledge" : "Speech technologies; Language technologies", "domainList" : [ "speech-technologies", "language-technologies" ], "domainSpecificKnowledge" : [ "Speech technologies", "Language technologies" ], "toolProficiency" : [ "Virtual recording platform", "Studio setup check" ], "communicationSkills" : "Speak clearly", "specialRequirements" : "AI-generated voices prohibited", "qualificationsBasic" : "Native English speakers, Currently located in North America, Able to follow recording instructions carefully, Reliable internet connection, Access to a computer, Access to a microphone, Access to quiet recording environment, Submit a short audio sample", "qualificationsPreferred" : "XLR microphone is the best option", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We are seeking native English speakers located in North America to participate in a voice data collection project. Participants will record approximately one hour of audio through a virtual recording studio to support the development of speech and language technologies. This is a straightforward recording task and does not require professional voice acting experience or a professional recording setup. The recordings collected for this project will be used for research and development purposes only. What You'll Do * Record approximately 1 hour of prompted speech using our virtual recording platform * Complete the recording in a quiet environment * Speak naturally and clearly throughout the session * Audio recordings will be automatically submitted from the studio for review upon completion ## Qualifications Who We're Looking For * Native English speakers * Currently located in North America * Able to follow recording instructions carefully * Reliable internet connection, and access to a computer, microphone and quiet recording environment * No prior voice acting or recording experience is required. Audio Sample Requirement: * No audition is required for this project. * However, for the proposal, all applicants must submit a short audio sample recorded using the same microphone, device, and environment they intend to use for the project. * Please submit a sample that is approximately 30–60 seconds in length. Recording Requirements To ensure high-quality recordings, participants must: * Record in a quiet indoor environment * Use a consistent recording setup throughout the session * Speak clearly and at a natural pace * Ensure their voice can be heard clearly at all times * Minimize background noise and interruptions Technical Requirements * System Configuration: Your talent must ensure their audio hardware, interface, or microphone is set to a sample rate that matches the recording settings used in the Studio that we provide access to. * Equipment: An XLR microphone is the best option. Use of laptop and Bluetooth microphones is strongly discouraged. * Microphone Positioning: The microphone should be placed approximately 6 to 8 inches from the mouth. * Required Audio Metrics : The Studio setup check will measure noise floor, voice level, and signal-to-noise ratio, and will check for clipping before recording begins. * Environmental Consistency: The setup check only measures metrics at the moment the test runs. Any subsequent changes to background noise, microphone position, or gain and volume settings will affect the final audio. Scripts * The scripts are not continuous and consist of different utterances spoken separately. You will record these in the studio and they will be automatically sent to the end client. Because of this, there will be no need for post editing, naming, or splitting. The following are NOT permitted during recording: * Television, music, podcasts, or other audio playing in the background * Conversations from other people * Fans, appliances, or other persistent background noise * Turning on noisy devices during the recording session * Recording while driving or in public spaces Recordings that do not meet quality standards may be rejected. ## Additional Information Important Notes * Recordings must be completed by the selected participant. AI-generated or synthetic voices are strictly prohibited. * Recordings are subject to quality review. * Audio recordings will be used for research and technology development purposes. When applying, please include your short audio sample recorded with the setup you intend to use for the project in your Upwork proposal.", "summaryDescription" : "English Speakers Needed (North America) – One-Hour Audio Recording Project at Lifted. Skills: Voice data collection, Audio recording. Record approximately 1 hour of prompted speech. Complete the recording in a quiet environment", "postedDate" : "2026-06-09T11:10:28.000", "createdAt" : "2026-06-14T20:28:24.302", "lastUpdated" : "2026-06-16T04:08:49.799", "ingestTimestamp" : "2026-06-14T20:28:24.302", "mongoId" : "6a2d3f2774d8ee00a0b34c9e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Audio recording", "Speech technology", "Voice data collection", "Speech technologies", "Language technologies", "Virtual recording platform", "Studio setup check" ], "skillCount" : 7, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 972.5639, "daysOld" : 6, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.85 }, { "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, "_score" : 963.8785, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "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, "_score" : 959.94946, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "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, "_score" : 954.95013, "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, "_score" : 953.2765, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c926774d8ee00a0985a80", "title" : "Seasonal Audio Operations Engineer", "company" : "The National Football League", "industry" : "Sports & Fitness", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level Seasonal Audio Operations Engineer in Mount Laurel, United States, adjusted for the Media industry and temporary employment type." }, "location" : "Mount Laurel, New Jersey, United States", "locations" : [ "Mount Laurel", "New Jersey", "United States" ], "timestamp" : "2026-06-15T05:22:19.063", "fingerprint" : "7aff0b9cf729349c631da2fea7b68bc0c8e9b4ff60eb5ff99253af48391fb894", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/nflcareers/jobs/5254042008", "externalId" : "5254042008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mount Laurel", "state" : "New Jersey", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.9340020,-74.8909988" } ], "locationText" : "Mount Laurel, New Jersey, United States", "employmentType" : "TEMPORARY", "technicalSkills" : "Digital Audio Workstations, Audio recording, Signal flow, Audio editing, Audio mixing", "professionalSkills" : [ "File management", "Content archival", "Content distribution" ], "hardSkillsList" : [ "Audio synchronization", "Audio digitization", "Audio editing", "Audio cataloging", "Audio archival", "Audio distribution" ], "softSkillsList" : [ "Problem solver", "Patient", "Persistent", "Calm under pressure", "Detail", "Purpose", "Aptitude to learn" ], "hardSkills" : [ { "name" : "Audio synchronization", "level" : "intermediate" }, { "name" : "Audio digitization", "level" : "intermediate" }, { "name" : "Audio editing", "level" : "intermediate" }, { "name" : "Audio cataloging", "level" : "intermediate" }, { "name" : "Audio archival", "level" : "intermediate" }, { "name" : "Audio distribution", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem solver" }, { "name" : "Patient" }, { "name" : "Persistent" }, { "name" : "Calm under pressure" }, { "name" : "Detail" }, { "name" : "Purpose" }, { "name" : "Aptitude to learn" } ], "majorSkills" : "Audio Operations, Post-production audio, Digital audio", "majorSkillsList" : [ "Audio Operations", "Post-production audio", "Digital audio" ], "coreResponsibilities" : "Intake daily field audio, Catalog daily field audio, Database daily field audio, Archive daily field audio, Distribute daily field audio, Sync camera footage with audio, Render new files, Edit select plays, Catalogue select plays, Digitize historic audio, Archive historic audio, Deliver audio deliverables, Obtain audio files from clients, Perform final audio deliveries, Edit sound effects, Catalog sound effects", "teamCollaboration" : "Broader audio teams; Audio Operations team; Field recordists; Post-mixers", "domainKnowledge" : "NFL gameplay terminology; NFL teams; NFL plays; Post-production environment", "domainList" : [ "nfl-gameplay-terminology", "nfl-teams", "nfl-plays", "post-production-environment" ], "domainSpecificKnowledge" : [ "NFL gameplay terminology", "NFL teams", "NFL plays", "Post-production environment" ], "toolProficiency" : [ "DaVinci Resolve", "Fairlight", "Avid Interplay" ], "problemSolvingSkills" : "Problem solver", "specialRequirements" : "40-45 hours/week", "qualificationsBasic" : "Availability for weekends and holidays, Understanding of NFL rules", "qualificationsPreferred" : "4-year degree or equivalent, 2 years of experience", "workSiteFlexibility" : "Onsite", "rawDescription" : "Overview / Objective: We are seeking an Audio Engineer to join our Audio Operations team; a group of audio specialists collaborating to efficiently traffic all audio that passes through NFL Films. Working in conjunction with the broader audio teams, including field recordists and post-mixers, our Audio Operations team provides vital contributions to NFL Films production operations and to the longevity of the content that is being created daily. The role requires the ability to work to deadlines in a high volume, detail-focused environment and a broad knowledge of all aspects of audio in a post-production environment. Responsibilities: Intake, catalog, database, archive and distribute daily field audio recordings across all NFL Films productions. Sync daily original camera footage with corresponding audio files, rendering new files for archival and editing. Edit and catalogue select plays from game radio broadcasts and post to Avid Interplay System Digitize and archive historic audio from multiple media formats (16/35mm mag, ¼” reel to reel audio, DAT, Cassette, mini-disc, etc.) to DaVinci Resolve/Fairlight workstations and attached storage system. Deliver various raw and specially curated Audio Operations deliverables to an Avid Interplay system. Obtain numerous audio-only files from outside clients (voice over recordings, licensed music, externally acquired material, etc.) for catalog, archival and distribution. Perform final audio only deliveries to internal and external clients, ensuring accuracy and timeliness during tight turnaround working environments. Edit and catalog specially curated NFL sound effects captured on location. Required Qualifications: A working knowledge of Digital Audio Workstations (DAW) with experience in Resolve/Fairlight systems a plus. Background in general aspects of digital audio recording, signal flow, editing and mixing. Proficient at using multiple computer platforms and file management programs. Availability to work on all weekends and holidays during the NFL season. Broad understanding of NFL rules, teams, plays, and gameplay terminology. Preferred Qualifications: 4-year degree or equivalent education 2 years of experience in a professional Audio environment Other Key Attributes / Characteristics: Collaborative spirit, patient and persistent problem solver. Ability to stay calm under pressure and navigate windows of high volume/urgent tasks with detail and purpose. Capacity for task repetition without a decline in performance. Enthusiastic attitude with an aptitude to learn and develop with direction from experienced professionals. Physical Demands: None Travel: None Terms /Expected Hours of Work: 40-45 hours/week Salary $37—$37 USD Benefits Information To learn more about our comprehensive benefits offerings, please visit: NFL BENEFITS At the NFL, in-person work at our offices is a top priority because it allows us to collaborate more effectively, build stronger connections, and maintain the culture that drives our success. This role requires onsite presence at an NFL office or stadium location, and remote and/or hybrid working options are not offered. NO RELOCATION ASSISTANCE WILL BE PROVIDED. The NFL is committed to building an inclusive work environment that reflects our incredible fan base. We provide an environment of mutual respect where equal employment opportunities are available to all employees and applicants without regard to status as protected by applicable federal, state, and local laws. WHO WE ARE: NFL Core Values: Respect: Everyone matters. We celebrate diverse opinions, honor hard work, and value every contribution. Integrity: We do what's right, even when it's tough. We hold ourselves accountable and always follow through. Team Responsibility: We support each other and our communities. No one is bigger than the game, and every action impacts others. Resiliency: We set high standards, overcome adversity, and adapt to challenges, always striving for excellence. NFL Leadership Attributes: Build Talent: We develop and nurture potential, empowering individuals to grow and succeed. Execute: We take action with precision, delivering results that drive our goals forward. Inspire: We motivate others through vision, energy, and a commitment to excellence. Live Our Values: We embody our core principles in every decision and action. Know the Business: We stay informed, understand our industry, and make decisions that strengthen our position. Think Big: We challenge the status quo, envision bold possibilities, and strive for transformative impact WHO YOU ARE: Talent Attributes: What we expect for our employees: Embody an enthusiastic, proactive can-do attitude Embrace grit, free from ego or entitlement Excel as a relationship builder, with the ability to influence Eager learner, driven by passion rather than just ambition Encompasses an incredible work ethic with an agile mindset", "summaryDescription" : "Seasonal Audio Operations Engineer at The National Football League. Skills: Audio Operations, Post-production audio, Digital audio. Intake daily field audio. Catalog daily field audio", "postedDate" : "2026-06-14T04:48:11.682", "createdAt" : "2026-06-14T04:48:11.682", "lastUpdated" : "2026-06-15T05:22:19.063", "ingestTimestamp" : "2026-06-14T04:48:11.682", "mongoId" : "6a2c926774d8ee00a0985a80", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Audio synchronization", "Audio digitization", "Audio editing", "Audio cataloging", "Audio archival", "Audio distribution", "Problem solver", "Patient", "Persistent", "Calm under pressure", "Detail", "Purpose", "Aptitude to learn", "Audio Operations", "Post-production audio", "Digital audio", "File management", "Content archival", "Content distribution", "NFL gameplay terminology", "NFL teams", "NFL plays", "Post-production environment", "DaVinci Resolve", "Fairlight", "Avid Interplay" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 947.63086, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6d1a74d8ee00a091d36c", "title" : "Associate Software Engineer, Audio (NTD)", "company" : "Nintendo", "salary" : { "min" : 50.0, "max" : 81.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Redmond, WA", "locations" : [ "Redmond", "WA" ], "timestamp" : "2026-06-16T07:02:57.717", "fingerprint" : "8dccc3fc301c6b15bb272a58ec53557ffee49591f0e12f844aa7af3f8131f055", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.nintendo.com/?gh_jid=4251061009", "externalId" : "4251061009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Redmond", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6694141,-122.1238767" } ], "locationText" : "Redmond, Washington, United States", "employmentType" : "CONTRACT", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Nintendo Technology Development The worldwide pioneer in the creation of interactive entertainment, Nintendo Co., Ltd., of Kyoto, Japan, manufactures and markets hardware and software for its Nintendo Switch™ system and the Nintendo 3DS™ family of portable systems. Since 1983, when it launched the Nintendo Entertainment System™, Nintendo has sold more than 4.7 billion video games and more than 740 million hardware units globally, including Nintendo Switch and the Nintendo 3DS family of systems, as well as the Game Boy™, Game Boy Advance, Nintendo DS™ family of systems, Super NES™, Nintendo 64™, Nintendo GameCube™, Wii™ and Wii U™ systems. It has also created industry icons that have become well-known, household names, such as Mario, Donkey Kong, Metroid, Zelda and Pokémon. A wholly owned subsidiary, Nintendo Technology Development, based in Redmond, Washington, creates future hardware/software technology and researches North American-based technologies. Nintendo is an equal opportunity employer. We offer a welcoming and inclusive environment in service to one another, our products, the diverse consumers we represent, and the communities we call home. We do all of this with kindness, empathy and respect for each other. The Redmond audio team is part of a small global group that researches and develops system software for current and future Nintendo game systems. We are looking for a junior engineer with attention to detail and a passion for audio technologies. You will participate in prototyping, developing, maintaining, debugging, profiling, optimizing, and testing audio firmware. The candidate should have experience with digital audio, knowledge of C/C++, and excellent communications skills. DESCRIPTION OF DUTIES Design and implement audio system software. Characterize, analyze, organize, and present detailed performance metrics of features at a large scale. Optimize, maintain, validate, and diagnose failures in existing and new systems. SUMMARY OF REQUIREMENTS BS or MS in Electrical Engineering, Computer Engineering, Computer Science, or related field. Coursework or foundational knowledge in digital signal processing (DSP). Experience with real-time embedded and cross-platform development. 3 or more years of professional experience with C/C++ programming. Strong analytical and problem-solving skills. PREFERRED REQUIREMENTS: Knowledge of DSP architectures (eg. Hifi, Hexagon, ARM SIMD). Experience with acoustic and audio signal processing algorithms. Familiarity with audio peripherals and interfaces (eg. I2S, TDM, PDM, DMA). Applicants must be legally eligible to work in the United States to be considered. Visa sponsorship is not available for this role. This position is onsite in Redmond, WA, and not open to remote status at this time. This contract position includes the base pay range listed below and is eligible for benefits through the employing agency. Agency benefits include eligibility for medical insurance, employee assistance program, and paid sick leave. All benefits are subject to elections, eligibility requirements, plan and program terms. Benefits offerings will be confirmed at the time of offer by the employing agency, and may differ depending on the employing agency partner. Pay range: $50.62—$81 USD", "summaryDescription" : "Associate Software Engineer, Audio (NTD) at Nintendo", "postedDate" : "2026-06-14T19:59:31.405", "createdAt" : "2026-06-14T19:59:31.405", "lastUpdated" : "2026-06-16T07:02:57.717", "ingestTimestamp" : "2026-06-14T19:59:31.405", "mongoId" : "6a2c6d1a74d8ee00a091d36c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 104000, "salaryAnnualMax" : 168480, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 930.1677, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "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, "_score" : 913.9367, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a660974d8ee00a062ba17", "title" : "Data Collection Associate I, 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" : "2026-06-15T02:29:02.349", "fingerprint" : "1673f41c91d59761f30e1f14ec04a243e02df480ed6756647bd56f68833e5643", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10443281/apply", "externalId" : "02bb1422-bfa6-4574-8585-8ccd6ac4d438", "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", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "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 and propose solutions, 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/Data Collection Leads/Data Collection Specialists; Work one-on-one with research participants; Communicate internally with team members", "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. 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 I, V-CARE at Amazon.com Services LLC. Adhere to data collection protocol. Follow SOP to complete project objectives", "postedDate" : "2026-06-13T06:25:23.670", "createdAt" : "2026-06-13T06:25:23.670", "lastUpdated" : "2026-06-15T02:29:02.349", "ingestTimestamp" : "2026-06-13T06:25:23.670", "mongoId" : "6a2a660974d8ee00a062ba17", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10443281/apply", "salaryAnnualMin" : 33280, "salaryAnnualMax" : 49920, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "_score" : 904.43524, "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, "_score" : 894.23346, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69f9b8034c40e2acd11140ab", "title" : "Data Quality Specialist - Dutch", "company" : "Amazon Development Center (Netherlands) B. V.", "industry" : "Editorial, Writing, Content Management, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Quality Specialist in The Hague, Netherlands, adjusted for the E-commerce industry and Amazon's company size." }, "location" : "The Hague, South Holland, NLD", "locations" : [ "The Hague, South Holland, NLD" ], "timestamp" : "2026-06-15T01:03:57.254", "fingerprint" : "9956d9ed293621ba0caa9b24c780b523113483dd844960424bbe22a1f5c29716", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10409746/apply", "externalId" : "a9e11acf-7df0-420c-afac-2ab7860cfa1a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "The Hague", "state" : "South Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.0799838,4.3113461" } ], "locationText" : "The Hague, South Holland, Netherlands", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "coreResponsibilities" : "Define and implement quality metrics, Create prescriptive actions for quality issues, Partner with customers to optimize workflow quality, Partner with operations to optimize workflow quality, Partner with internal support teams to optimize workflow, Conduct side-by-sides for workflow enhancement, Conduct side-by-sides for quality improvements, Analyze data trends, Develop solutions, Monitor quality performance, Coach operations teams, Create quality metrics reports, Maintain quality metrics reports, Handle customer escalations, Provide strategic recommendations, Evaluate quality tools, Suggest improvements for quality tools, Support process documentation, Support process implementation", "teamCollaboration" : "Collaboration with customers; Collaboration with CPMs; Feedback loop between operations and customers; Collaboration with operations teams; Collaboration with internal support teams", "documentationSkills" : "Process documentation", "problemSolvingSkills" : "Data pattern examination; Data trend analysis", "qualificationsBasic" : "Bachelor's degree or equivalent, Advanced Dutch language proficiency (C1+), Basic English proficiency (B1+)", "qualificationsPreferred" : "Fluent in Dutch (speak, write, read)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Quality Specialists play a vital role in establishing and maintaining comprehensive quality frameworks across our operations. Their primary responsibility begins with developing robust quality strategies in collaboration with customers and CPMs, encompassing metrics, audit approaches, and specific targets for each workflow. When quality issues arise, these specialists create prescriptive actions, examining data patterns to formulate effective solutions. They maintain a continuous improvement cycle by managing a critical feedback loop between operations and customers, drawing insights from multiple sources including quality auditors, side-by-side observations, and metric analysis. Through regular side-by-side sessions, they identify opportunities for workflow enhancement and quality improvements. The specialists serve as key escalation points for customer concerns, providing strategic recommendations based on their deep understanding of processes. They consistently evaluate quality tools, suggesting refinements to enhance effectiveness, while simultaneously maintaining and updating process documentation to ensure standardization and clarity across all workflows. This comprehensive approach ensures quality remains at the forefront of our operational excellence. Key job responsibilities * Define and implement quality metrics for established workflows * Create prescriptive actions for quality issues * Partner with customers, operations and internal support teams to optimize workflow quality * Conduct side-by-sides to identify opportunities for workflow enhancement and quality improvements * Analyze data trends and develop solutions * Monitor quality performance and coach operations teams * Create and maintain quality metrics reports * Handle customer escalations and recommendations * Evaluate and suggest improvements for quality tools * Support process documentation and implementation Basic Qualifications: - Bachelor's degree or equivalent - Advanced-level proficiency in Dutch language (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards). - Basic-level proficiency in English (B1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards). Preferred Qualifications: - Speak, write, and read fluently in Dutch Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Data Quality Specialist - Dutch at Amazon Development Center (Netherlands) B. V.. Define and implement quality metrics. Create prescriptive actions for quality issues", "postedDate" : "2026-06-13T02:10:18.149", "createdAt" : "2026-06-13T02:10:18.149", "lastUpdated" : "2026-06-15T01:03:57.254", "ingestTimestamp" : "2026-06-13T02:10:18.149", "mongoId" : "69f9b8034c40e2acd11140ab", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10409746/apply", "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "dataQualityScore" : 0.7777778, "_score" : 893.85706, "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, "_score" : 893.6054, "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, "_score" : 890.96405, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c6ace74d8ee00a090e151", "title" : "Audio Engineer", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 120000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "INN - Remote - US", "locations" : [ "INN - Remote - US" ], "timestamp" : "2026-06-16T00:59:58.081", "fingerprint" : "a93f2a7b78503b929365a72f98612f52ed60ab6e42723366c40e4aabd0ef9bf9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4282308009", "externalId" : "4282308009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, Ffmpeg, Sox, Pydub, Librosa", "professionalSkills" : [ "Signal chain", "Post-processing", "Mastering", "Acoustic QA", "Technical specifications", "Loudness targets", "Noise floors", "Channel configurations", "Acoustic profile", "Signal-chain testing", "Customer acoustic requirements", "Recording setups", "QA processing", "Signal issues" ], "hardSkillsList" : [ "Audio processing", "Batch processing", "Quality metrics" ], "hardSkills" : [ { "name" : "Audio processing", "level" : "intermediate" }, { "name" : "Batch processing", "level" : "intermediate" }, { "name" : "Quality metrics", "level" : "intermediate" } ], "majorSkills" : "Audio signal chain, Post-processing pipeline, Technical specifications, Acoustic quality", "majorSkillsList" : [ "Audio signal chain", "Post-processing pipeline", "Technical specifications", "Acoustic quality" ], "coreResponsibilities" : "Own end-to-end audio signal chain, Own post-processing pipeline, Define technical specifications, Document technical specifications, Design Innodata sound signature, Maintain Innodata sound signature, Build technical QA, Specify recording setups, Validate recording setups, Partner with Solutions Architect, Translate customer requirements, Drive tooling selection, Configure tooling, Automate processing, Troubleshoot acoustic issues, Troubleshoot signal issues", "teamCollaboration" : "Partner with Solutions Architect", "domainKnowledge" : "Speech AI; Generative AI; AI systems; Speech data for AI/ML; TTS datasets; ASR datasets; Model performance", "domainList" : [ "speech-ai", "generative-ai", "ai-systems", "speech-data-for-ai-ml", "tts-datasets", "asr-datasets", "model-performance" ], "domainSpecificKnowledge" : [ "Speech AI", "Generative AI", "AI systems", "Speech data for AI/ML", "TTS datasets", "ASR datasets", "Model performance" ], "toolProficiency" : [ "Ffmpeg", "Sox", "Pydub", "Librosa" ], "documentationSkills" : "Document technical specifications", "problemSolvingSkills" : "Troubleshoot acoustic issues; Troubleshoot signal issues", "outcomesObjectives" : "Deliver consistent technical bar; Push quality efficiency; Push processing efficiency", "qualificationsBasic" : "Audio engineering background, Deep fluency in audio technical specs, Experience producing consistent audio quality, Comfort with audio tooling and automation, Precision and process orientation, Experience with speech/voice data, Familiarity with multilingual recording, Knowledge of speech quality metrics", "qualificationsPreferred" : "Scripting for batch processing/QA is a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: Innodata produces the voice and audio datasets behind the world's leading speech AI. We're hiring an Audio Engineer to own the technical heart of that work: the signal chain, the post-processing recipe, the technical specifications, and the consistent acoustic quality — the “sound signature” — that defines an Innodata dataset. You'll ensure every hour of audio we deliver, across dozens of languages and recording conditions, meets a precise and consistent technical bar. You'll design the recipe, build the validation, and continuously push the quality and efficiency of how we capture and process audio. What You’ll Own: Own the end-to-end audio signal chain and post-processing pipeline for all collection programs. Define and document technical specifications: sample rates, bit depth, formats, loudness (LUFS) targets, noise floors, channel configurations. Design and maintain the “Innodata sound signature” — a consistent, spec-compliant acoustic profile across studio, remote, real-world, and telephonic captures Build technical QA: automated and manual checks that validate audio against spec before delivery. Specify and validate recording setups for vendors and remote contributors (signal-chain testing in a small in-house studio). Partner with the Solutions Architect to translate customer acoustic requirements into achievable technical recipes. Drive tooling: help select and configure recording/QA/processing tools; automate where possible. Troubleshoot acoustic and signal issues across diverse capture environments. You’ll Thrive in This Role If You Have: Strong audio engineering background: signal chain, recording, post-processing, mastering, and acoustic QA. Deep fluency in audio technical specs (sample rate, bit depth, LUFS, formats, codecs) and the ability to define and enforce them. Experience producing consistent audio quality across varied recording conditions and locations. Comfort with audio tooling and automation (scripting for batch processing/QA is a strong plus). Precision and process orientation — you care about consistency at scale, not just one great recording. Experience with speech/voice data for AI/ML (TTS or ASR datasets). Familiarity with multilingual recording and remote/distributed capture. Knowledge of speech quality metrics and how acoustic choices affect downstream model performance. Scripting (Python) for audio processing pipelines (e.g., ffmpeg, sox, pydub, librosa). The expected salary range for this position is $120,000 – $160,000 USD per year, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.", "summaryDescription" : "Audio Engineer at Innodata Inc.. Skills: Audio signal chain, Post-processing pipeline, Technical specifications, Acoustic quality. Own end-to-end audio signal chain. Own post-processing pipeline", "postedDate" : "2026-06-14T20:07:38.515", "createdAt" : "2026-06-14T20:07:38.515", "lastUpdated" : "2026-06-16T00:59:58.081", "ingestTimestamp" : "2026-06-14T20:07:38.515", "mongoId" : "6a2c6ace74d8ee00a090e151", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Audio processing", "Batch processing", "Quality metrics", "Audio signal chain", "Post-processing pipeline", "Technical specifications", "Acoustic quality", "Signal chain", "Post-processing", "Mastering", "Acoustic QA", "Loudness targets", "Noise floors", "Channel configurations", "Acoustic profile", "Signal-chain testing", "Customer acoustic requirements", "Recording setups", "QA processing", "Signal issues", "Speech AI", "Generative AI", "AI systems", "Speech data for AI/ML", "TTS datasets", "ASR datasets", "Model performance", "Ffmpeg", "Sox", "Pydub", "Librosa" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 889.73114, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "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. 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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. 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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. 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For more than 150 years, Old Second has consistently put businesses and individuals throughout the Chicago area first, and we're only getting started. With great employees we've grown from a single location in the back of a general store to 50 locations and over $6 billion dollars in assets. At Old Second we embrace values that foster an environment of community and growth. Recently, we've been voted a Forbes Best-In-State Bank for Illinois by our customers. Be a part of something big as we continue our growth story together! Position Overview This position’s responsibilities will include data entry, posting invoices, and general clerical duties (filing, scanning, faxing). Essential Job Functions General clerical duties: pulling files, filing, scanning, faxing, etc. Posting invoices from vendors. Data entry assignments. Handling returned mail. Processing outgoing mail for the department. Ensure operational integrity through compliance with all policies, procedures, and regulations. Perform other duties as assigned. May train to take collections calls and perform customer service. Minimum Requirements High school diploma and six months or more of related experience. Competencies Data entry or 10-key Attention to detail Strong organizational and time management skills Works well in a team environment. Preferred, but not required Prior office experience a plus. NOTE: This job description is not intended to be all-inclusive. Employee may perform other duties as assigned to meet the ongoing needs of the organization. Location This is an onsite position at the Reno, NV office. Must be able to work onsite daily. Base pay: $17.00 - $20.60/hour. Old Second is committed to fair and equitable pay practices. Pay is dependent upon the pay range and the incumbent’s knowledge, skills and experience. Benefits: How We Support You - Old Second Thanks for considering Old Second!", "summaryDescription" : "Collections Clerical Associate at Old Second National Bank. Skills: Data entry, Clerical duties. Enter data. Post invoices", "postedDate" : "2026-06-15T23:28:34.299", "createdAt" : "2026-06-15T23:28:34.299", "lastUpdated" : "2026-06-16T07:35:33.192", "ingestTimestamp" : "2026-06-15T23:28:34.299", "mongoId" : "6a305ffef292fd229cf84000", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 3536000, "salaryAnnualMax" : 4284800, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Data entry", "10-key", "Clerical duties" ], "skillCount" : 3, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 868.76294, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Banking", "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, "_score" : 866.8241, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305e64f292fd229cf70316", "title" : "Chargé. e de production Audio (F/H) - Label Cascades Audio - ELLIPSANIME PRODUCTIONS", "company" : "MEDIA PARTICIPATIONS", "industry" : "Publishing", "salary" : { "min" : 10400.0, "max" : 12500.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on market data for an Entry-level Chargé. e de production Audio (F/H) in Paris, France, with adjustments for the Media industry and internship employment type." }, "location" : "Paris, Région Île-de-France, France", "locations" : [ "Paris", "Région Île-de-France", "France" ], "timestamp" : "2026-06-16T09:09:35.503", "fingerprint" : "9c5f28026547f6df3540afc620dd060d3fdac658c50c53a864106967d215cbff", "source" : "smartrecruiters", "language" : "fr", "applyUrl" : "https://jobs.smartrecruiters.com/MEDIAPARTICIPATIONS/744000132231827-charge-e-de-production-audio-f-h-label-cascades-audio-ellipsanime-productions", "externalId" : "744000132231827", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Paris", "state" : "Île-de-France", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.8588897,2.3200410" } ], "locationText" : "Paris, Île-de-France, France", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "experienceLevel" : "internship", "professionalSkills" : [ "Text preparation", "Quality control", "Competitive analysis", "Sales meeting preparation", "Online listing monitoring" ], "majorSkills" : "Audio production, Book editing", "majorSkillsList" : [ "Audio production", "Book editing" ], "coreResponsibilities" : "Prepare texts for recording, Adapt texts for recording, Participate in interpreter selection, Control audiobooks quality, Monitor market trends, Prepare sales meetings, Follow up on online listings", "domainKnowledge" : "Audiobooks; Immersive audio series; BD adaptation; Audiovisual adaptation", "domainList" : [ "audiobooks", "immersive-audio-series", "bd-adaptation", "audiovisual-adaptation" ], "domainSpecificKnowledge" : [ "Audiobooks", "Immersive audio series", "BD adaptation", "Audiovisual adaptation" ], "toolProficiency" : [ "PowerPoint" ], "qualificationsBasic" : "Bac+3 or higher, Specialization in editing", "qualificationsPreferred" : "Appetite for audio format, Avid reader, Curious about all genres", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Lancé en 2023, Cascades est le label audio du groupe Média-Participations, appartenant à Ellipse, filiale du groupe Média-Participations, le 1er groupe indépendant dans l'édition, les médias et le divertissement en Europe. Cascades produit des livres audio numériques et des séries audio immersives adaptées d'univers BD ou audiovisuels. Le catalogue couvre une large gamme de genres (littérature, polars, romance, science-fiction et fantasy, histoire et biographies, non-fiction, jeunesse), mais propose aussi des adaptations d'univers BD et audiovisuels. Sous la responsabilité des éditrices des pôles Livres audio et Séries audio immersives, vos principales missions seront : * Préparation des textes pour enregistrement (potentielles adaptations : traitement des notes de bas de page, des graphiques ou illustrations, fiches personnages, prononciations des mots étrangers...) * Participation au choix des interprètes * Contrôle qualité des livres audio avant parution * Veille concurrentielle (succès sur les marchés étrangers, tendances émergentes, succès sur les réseaux sociaux…) * Préparation des réunions commerciales (présentations PowerPoint, suivi des tableaux de parution) * Suivi des mises en ligne ## Qualifications Vous avez une appétence pour le format audio et vous êtes un.e lecteur.ice averti.e et curieux.se de tous les genres : romance, littérature, suspense, polar… Diplômé(e) d’une formation supérieure (bac+3 ou plus), vous avez idéalement une spécialisation en édition. Vous êtes autonome, organisé(e) et rigoureux(se), avec le goût du détail. ## Additional Information Début du contrat : septembre 2026 Durée : 6 mois", "summaryDescription" : "Chargé. e de production Audio (F/H) - Label Cascades Audio - ELLIPSANIME PRODUCTIONS at MEDIA PARTICIPATIONS. Skills: Audio production, Book editing. Prepare texts for recording. Adapt texts for recording", "postedDate" : "2026-06-15T15:21:40.000", "createdAt" : "2026-06-15T23:47:49.141", "lastUpdated" : "2026-06-16T09:09:35.503", "ingestTimestamp" : "2026-06-15T23:47:49.141", "mongoId" : "6a305e64f292fd229cf70316", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Audio production", "Book editing", "Text preparation", "Quality control", "Competitive analysis", "Sales meeting preparation", "Online listing monitoring", "Audiobooks", "Immersive audio series", "BD adaptation", "Audiovisual adaptation", "PowerPoint" ], "skillCount" : 12, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 860.0047, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.85 }, { "id" : "6a2c956474d8ee00a098cfe5", "title" : "Audio Firmware Engineer", "company" : "Hark", "industry" : "Technology", "salary" : { "min" : 120000.0, "max" : 300000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Jose, California, United States", "locations" : [ "San Jose", "California", "United States" ], "timestamp" : "2026-06-15T06:53:41.995", "fingerprint" : "7d7cd3296e2f4a21978b3f4d2510b0d725d4e9513aff2bbf1175be698eef2129", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/hark/jobs/4244853009", "externalId" : "4244853009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Jose", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3361663,-121.8905910" } ], "locationText" : "San Jose, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C/C++, Android audio framework, HAL, DSP, AudioFlinger, Audio Policy Manager, TinyALSA, ALSA, Kernel drivers, Machine learning models, NPU", "professionalSkills" : [ "Firmware development", "Embedded audio development", "System bring-up", "DSP pipeline integration", "Firmware optimization", "Audio system integration", "Audio path tuning", "End-to-end debugging", "Audio inference workloads", "Latency budgets", "Power budgets", "Memory budgets", "Audio quality tuning", "Acoustic conditions" ], "hardSkillsList" : [ "Audio processing algorithms", "Fixed-point development", "SIMD", "VLIW" ], "hardSkills" : [ { "name" : "Audio processing algorithms", "level" : "intermediate" }, { "name" : "Fixed-point development", "level" : "intermediate" }, { "name" : "SIMD", "level" : "intermediate" }, { "name" : "VLIW", "level" : "intermediate" } ], "majorSkills" : "Audio Firmware, Embedded Audio, Android Audio, DSP Integration", "majorSkillsList" : [ "Audio Firmware", "Embedded Audio", "Android Audio", "DSP Integration" ], "coreResponsibilities" : "Bring up audio on new hardware, Integrate low-level platform, Design audio use cases, Implement audio use cases, Manage audio use cases, Integrate audio paths, Tune audio paths, Debug complex audio issues, Support audio-driven inference workloads, Collaborate with hardware teams, Collaborate with acoustics teams, Collaborate with product teams", "teamCollaboration" : "AI team; Hardware teams; Acoustics teams; Product teams", "domainKnowledge" : "Android audio architecture; Audio processing algorithms; Machine learning on embedded; Voice-first products; Far-field audio products", "domainList" : [ "android-audio-architecture", "audio-processing-algorithms", "machine-learning-on-embedded", "voice-first-products", "far-field-audio-products" ], "domainSpecificKnowledge" : [ "Android audio architecture", "Audio processing algorithms", "Machine learning on embedded", "Voice-first products", "Far-field audio products" ], "toolProficiency" : [ "Audio tooling" ], "problemSolvingSkills" : "Debugging; Troubleshooting", "qualificationsBasic" : "3+ years firmware development, 3+ years embedded audio development, Proficient with C/C++, Familiar with Android audio architecture, Hands-on experience with audio tooling, Comfort working across full audio stack, Experience debugging audio issues, Experience working with hardware engineers, Experience reading schematics", "qualificationsPreferred" : "Experience on consumer products, Experience in resource-constrained environments, Experience in real-time environments, Experience with Audio HAL, Experience with AudioFlinger, Experience with Audio Policy Manager, Experience with TinyALSA/ALSA interfaces, Experience with DSP firmware, Experience with kernel drivers, Experience with platform logs, Experience with DSP traces, Working knowledge of audio processing algorithms, Experience with dynamic range control, Experience with echo cancellation, Experience with noise suppression, Experience with beamforming, DSP optimization experience, Experience with fixed-point development, Experience with SIMD, Experience with VLIW, Experience tuning audio quality, Experience validating behavior, Experience deploying machine learning models, Experience with audio models on DSP, Experience with audio models on NPU, Experience shipping voice-first products, Experience shipping far-field audio products", "workSiteFlexibility" : "Onsite", "rawDescription" : "About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role We’re looking for an experienced Audio Firmware Engineer to develop and optimize next-generation embedded audio solutions on Android and SoC platforms. This role spans audio system bring-up, DSP pipeline integration, firmware optimization, and deployment of advanced audio/AI features for consumer devices. You will work across the software stack—from Android audio framework and HAL layers down to DSP—bringing production-quality audio experiences to market. This is hands-on work close to silicon, with direct impact on how every user experiences the product. Responsibilities Bring up audio on new hardware in the Android system — codecs, mics, speakers, routing, and low-level platform integration Design, implement, and manage audio use cases on SoC platforms across playback, capture, voice, and always-on listening paths Integrate and tune audio paths across the Android audio stack (HAL, AudioFlinger, Audio Policy Manager, TinyALSA/ALSA) and the underlying SoC audio frameworks Debug complex audio issues end-to-end using platform logs, working from kernel and DSP traces up through application-level symptoms Partner with the AI team to support audio-driven inference workloads (wake word, ASR, speech enhancement) within latency, power, and memory budgets Collaborate with hardware, acoustics, and product teams from prototype through production to ship audio that feels effortless to users Requirements 3+ years of professional firmware or embedded audio development, ideally on consumer products that have shipped at scale Proficient with C/C++ in resource-constrained, real-time environments Familiar with Android audio architecture: Audio HAL, AudioFlinger, Audio Policy Manager, and TinyALSA/ALSA interfaces Hands-on experience with audio tooling and frameworks Comfort working across the full audio stack — kernel drivers, DSP firmware, HAL, framework — and debugging issues that span all of it Experience working alongside hardware engineers during board bring-up and reading schematics for audio subsystems Bonus Qualifications Working knowledge of audio processing algorithms — dynamic range control, echo cancellation, noise suppression, beamforming, and similar DSP optimization experience, including fixed-point development, SIMD and VLIW. Tune audio quality and validate behavior across acoustic conditions Experience deploying machine learning models on embedded platforms, especially audio models running on DSP or NPU Background shipping voice-first or far-field audio products Compensation The US base salary range for this full-time position is between $120,000 - $300,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.", "summaryDescription" : "Audio Firmware Engineer at Hark. Skills: Audio Firmware, Embedded Audio, Android Audio, DSP Integration. Bring up audio on new hardware. Integrate low-level platform", "postedDate" : "2026-06-14T09:01:43.547", "createdAt" : "2026-06-14T09:01:43.547", "lastUpdated" : "2026-06-15T06:53:41.995", "ingestTimestamp" : "2026-06-14T09:01:43.547", "mongoId" : "6a2c956474d8ee00a098cfe5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120000, "salaryAnnualMax" : 300000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Audio processing algorithms", "Fixed-point development", "SIMD", "VLIW", "Audio Firmware", "Embedded Audio", "Android Audio", "DSP Integration", "Firmware development", "Embedded audio development", "System bring-up", "DSP pipeline integration", "Firmware optimization", "Audio system integration", "Audio path tuning", "End-to-end debugging", "Audio inference workloads", "Latency budgets", "Power budgets", "Memory budgets", "Audio quality tuning", "Acoustic conditions", "Android audio architecture", "Machine learning on embedded", "Voice-first products", "Far-field audio products", "Audio tooling" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 848.4254, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69fc49a74c40e2acd1a83418", "title" : "Collections Associate", "company" : "Hyundai Capital America", "industry" : "Banking", "salary" : { "min" : 22.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States-Georgia-Atlanta", "locations" : [ "United States-Georgia-Atlanta", "
Atlanta, GA (HCA_AtlantaGA)
4100 Wildwood Pkwy
Atlanta, 30339

" ], "timestamp" : "2026-06-15T12:44:21.255", "fingerprint" : "8c2bdea8cca59242232a7e12891a3984269a74fb4d5a09c33517c3950c16d186", "source" : "taleo", "language" : "en", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=114783", "externalId" : "114783", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Atlanta", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.7544657,-84.3898151" } ], "locationText" : "Atlanta, Georgia, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Windows, Word, Excel", "professionalSkills" : [ "Negotiation", "Problem solving" ], "hardSkillsList" : [ "Collections" ], "softSkillsList" : [ "Negotiation" ], "hardSkills" : [ { "name" : "Collections", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Negotiation" } ], "majorSkills" : "Collections, Negotiation", "majorSkillsList" : [ "Collections", "Negotiation" ], "coreResponsibilities" : "Work delinquent accounts, Negotiate payment arrangements, Document all actions, Service accounts, Submit service requests, Update addresses, Update telephone numbers, Update emails, Participate in coaching, Participate in development sessions, Co-create solutions", "teamCollaboration" : "Collaborate cross-divisionally; Support other departments", "toolProficiency" : [ "Automated dialer system" ], "communicationSkills" : "Clear communication", "documentationSkills" : "Document actions", "continuousLearning" : "Development sessions; Trainings", "problemSolvingSkills" : "Research account issues; Deescalate issues", "qualificationsBasic" : "2+ years collection experience, High school graduate, Basic computer skills, Basic communication skills, Basic listening skills, Basic negotiation skills, Basic problem solving skills", "qualificationsPreferred" : "Bachelor's degree preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Who We Are Through our service brands Hyundai Motor Finance, Genesis Finance, and Kia Finance, Hyundai Capital America offers a wide range of financial products tailored to meet the needs of Hyundai, Genesis, and Kia customers and dealerships. We provide vehicle financing, leasing, subscription, and insurance solutions to over 3 million consumers and businesses. Embodying our commitment to grow, innovate, and diversify, we strive to reimagine the customer and dealer experience and launch innovative new products that broaden our market reach. We believe that success comes from within and are proud to support our team members through skill development and career advancement. Hyundai Capital America is an Equal Opportunity Employer committed to creating a diverse and inclusive culture for our workforce. We are a values-driven company dedicated to supporting both internal and external communities through volunteering, philanthropy, and the empowerment of our Employee Resource Groups. Together, we strive to be the leader in financing freedom of movement. We Take Care of Our People Along with competitive pay, as an employee of HCA, you are eligible for the following benefits: · Role is 100% remote (after in-office new hire training) · Competitive pay-$22.40 per hour plus an annual bonus target of 6% · Great benefits with very little out of pocket cost! · Car purchase discount plus $350.00 car allowance! · Medical, dental, and vision plans with no-cost and low-cost options · Annual employer HSA contribution · 401(k) matching and immediate vesting · Vehicle purchase and lease discounts, plus monthly vehicle allowances by job level: o Associate / Sr. Associate: $350 o Manager / Sr. Manager: $600 o Director: $800 o Executive Director: $900 o VP or Above: $1,000 · 100% employer-paid life and disability insurance · No-cost health and wellbeing programs, including a gym benefit · Six weeks of paid parental leave · Paid Volunteer Time Off, plus a company donation to a charity of your choice What to Expect This is primarily responsible for working a group of delinquent accounts via an automated dialer system typically ranging from 1 to 79 days past due either inbound or outbound. The primary job function will be to negotiate payment arrangements while providing customer recommendations to keep the account current. This is done while complying with both external and internal compliance related policy and procedures. All positions within the Operations Division are expected to collaborate cross-divisionally to achieve a seamless customer experience; this includes supporting other departments as necessary to meet the business need. What You Will Do 1. Work a group of delinquent accounts via our automated dialer system either through inbound or outbound with the primary goal of negotiating payment arrangements to bring the account current. 2. Document all actions taken on account within system of record. 3. Service accounts as needed; submit service requests, complaints and update addresses, telephone numbers and emails. 4. Actively participate in coaching and development sessions/trainings to co-create solutions that enhance individual performance and overall department/team performance. 5. All other duties as assigned. What You Will Bring · 2+ years collection or relevant experience · Education in lieu of experience · High school graduate · Bachelor’s degree preferred · Basic computer skills - Knowledge of Windows including Word and Excel · Strong communication skills - Ability to clearly communicate thoughts and ideas to peers and customers · Strong listening skills - Ability to listen and understand direction · Strong negotiation skills – Ability to negotiate mutually beneficial arrangements with the customer · Strong problem solving and soft skills – Ability to research and solve account issues while deescalating when necessary Work Environment Employees in this class are subject to extended periods of sitting, standing, and walking, vision to monitor and moderate noise levels. Work is performed in an at home and office environment. The posted salary range for this job takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; geographic location, and other business and organizational needs. Successful candidates may be hired anywhere in the salary range based on these factors. It is uncommon to hire candidates at or near the top of the range. California Privacy Notice This notice only applies to our applicants who reside in the State of California. The latest version of our Privacy Policy can be found here . This Privacy Policy provides you with notice, at or before the point of collection, about the categories of personal information to be collected from you, the purposes for which your personal information is collected or used, and whether that information is sold or shared, so that you can exercise meaningful control over our use of your personal information. We are providing this notice to comply with the California Consumer Privacy Act of 2018, as amended as amended by the California Privacy Rights Act of 2020 (“CCPA”). If you have any questions about CCPA regarding California residents or HCA team members, please contact the Privacy Team at Privacy2@hcs.com . United States-Georgia-Atlanta", "summaryDescription" : "Collections Associate at Hyundai Capital America. Skills: Collections, Negotiation. Work delinquent accounts. Negotiate payment arrangements", "createdAt" : "2026-06-14T06:51:34.701", "lastUpdated" : "2026-06-15T12:44:21.255", "ingestTimestamp" : "2026-06-14T06:51:34.701", "mongoId" : "69fc49a74c40e2acd1a83418", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45760, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Collections", "Negotiation", "Problem solving", "Automated dialer system" ], "skillCount" : 4, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 822.89746, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e423f8b1b0376634c59c", "title" : "Audio/Sensor Lab Engineer", "company" : "Amazon Innovation Center", "industry" : "Hardware Development, alexa and amazon devices", "salary" : { "min" : 350000.0, "max" : 550000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Audio/Sensor Lab Engineer in Shenzhen, China, adjusted for the technology industry and company size." }, "location" : "Shenzhen, CHN", "locations" : [ "Shenzhen, CHN" ], "timestamp" : "2026-06-15T02:55:36.492", "fingerprint" : "3d6bcf52caf58fba13ee8f0d42eebc152df38930ba9eeb2678e6fad5475f8201", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3077879/apply", "externalId" : "0e6dff89-a82e-4237-b2a0-133d75255a96", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Shenzhen", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "22.5445741,114.0545429" } ], "locationText" : "Shenzhen, China", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, Matlab, Bash", "professionalSkills" : [ "Data collection", "Infrastructure development", "Quality assurance" ], "hardSkillsList" : [ "Acoustics measurement", "Signal processing", "Data engineering", "Software updates" ], "softSkillsList" : [ "Problem solve", "Operate independently" ], "hardSkills" : [ { "name" : "Acoustics measurement", "level" : "intermediate" }, { "name" : "Signal processing", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Software updates", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem solve" }, { "name" : "Operate independently" } ], "majorSkills" : "Data collection, Test execution, Bug tracking", "majorSkillsList" : [ "Data collection", "Test execution", "Bug tracking" ], "coreResponsibilities" : "Work with software and science teams to create, Run test cases on devices, Execute use case scenario based testing, Write test scripts, Read test scripts, Run test scripts, Develop test scripts, Interpret testing results, Report testing results, Find bugs, Isolate bugs, Document bugs, Regress bugs, Track bugs through resolution, Debug data collection systems, Restore data collection systems, Support projects, Setup system components, Verify system components, Troubleshoot during set-up, Troubleshoot live sessions, Ensure integrity and upload, Report metrics, Document best practices, Provide technical support, Apply knowledge of wireless technologies, Apply knowledge of networking technologies, Apply knowledge of mobile devices, Apply knowledge of quality assurance practices, Gain knowledge of features, Gain knowledge of functional requirements, Execute assigned tests", "teamCollaboration" : "Internal customers; Software teams; Science teams; Product teams; Developer teams; International teams", "domainKnowledge" : "Wireless technologies; Networking technologies; Mobile devices; Connected devices; Consumer Electronics", "domainList" : [ "wireless-technologies", "networking-technologies", "mobile-devices", "connected-devices", "consumer-electronics" ], "domainSpecificKnowledge" : [ "Wireless technologies", "Networking technologies", "Mobile devices", "Connected devices", "Consumer Electronics" ], "toolProficiency" : [ "Linux environment" ], "communicationSkills" : "Written communication", "documentationSkills" : "Issue reports; Best practices", "problemSolvingSkills" : "Problem solve; Troubleshooting", "specialRequirements" : "Work onsite 5 days per week, Lift up to 25lbs", "outcomesObjectives" : "Deliver data collection quality; Deliver data collection efficiency; Meet customer expectations; Exceed customer expectations", "qualificationsBasic" : "Python coding, Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering or equivalent work experience, Effective written communication skills, Able to problem solve and operate independently, Experience with writing the test plans, use cases, and issue reports", "qualificationsPreferred" : "Experience with Acoustics measurement and signal processing, Experience with data engineering or science, Experience working in a linux environment, Matlab, Bash, or other coding/scripting experience, Experience configuring, deploying and testing software updates, Proven track record of using to analyze issues, make decisions, and generate various solutions, Exceptional attention to detail, ability to follow through, and organizational skills, Experience testing in a Consumer Electronics lab or field environment", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Role: We are seeking a highly motivated Lab Engineer to join our Devices team. The ideal candidate will be flexible, detail-oriented, and skilled at working with internal customers (Software, Science, Product teams) driving data collection and infrastructure development. As Lab Engineer on the Data Collection team, you will champion the quality and efficiency of data collection for the organization, implementing and executing on large scale data collection, ensuring deliverables meet and exceed customer expectations. Key job responsibilities: - Work with software and science teams to create data collection plans and test cases. - Running test cases on devices – such as executing use case scenario based testing - Write, read, run, and develop test scripts in collaboration with developer teams in Python. - Execute test cases, interpret, and report testing results, and be a vocal proponent for quality in every phase of the development process - Find, isolate, document, regress, and track bugs through resolution. Able to debug and restore data collection systems. - Support projects including setup and verification of all system components, trouble-shooting during set-up and live sessions, and ensure integrity and upload, metrics reporting tasks and processes, and document best practices - Provide technical support to the field operation or vendor teams - Apply knowledge of wireless and networking technologies, mobile devices, and quality assurance practices to ensure that connected devices meet all target requirements - Gaining knowledge of the features and detailed functional requirements to execute your assigned tests - Work onsite 5 days per week - Lift up to 25lbs when needed - Effective written communicator, this role will include working with international teams. Basic Qualifications: - Python coding - Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering or equivalent work experience - Effective written communication skills - Able to problem solve and operate independently - Experience with writing the test plans, use cases, and issue reports Preferred Qualifications: - Experience with Acoustics measurement and signal processing -Experience with data engineering or science - Experience working in a linux environment - Matlab, Bash, or other coding/scripting experience - Experience configuring, deploying and testing software updates including ability to identify issues and escalate to development as appropriate · - Proven track record of using to analyze issues, make decisions, and generate various solutions - Exceptional attention to detail, ability to follow through, and strong organizational skills - Experience testing in a Consumer Electronics lab or field environment - Proven track record of using to analyze issues, make decisions, and generate various solutions 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" : "Audio/Sensor Lab Engineer at Amazon Innovation Center. Skills: Data collection, Test execution, Bug tracking. Work with software and science teams to create. Run test cases on devices", "postedDate" : "2026-06-13T07:37:55.070", "createdAt" : "2026-06-13T07:37:55.070", "lastUpdated" : "2026-06-15T02:55:36.492", "ingestTimestamp" : "2026-06-13T07:37:55.070", "mongoId" : "68c2e423f8b1b0376634c59c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3077879/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Acoustics measurement", "Signal processing", "Data engineering", "Software updates", "Problem solve", "Operate independently", "Data collection", "Test execution", "Bug tracking", "Infrastructure development", "Quality assurance", "Wireless technologies", "Networking technologies", "Mobile devices", "Connected devices", "Consumer Electronics", "Linux environment" ], "skillCount" : 17, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "_score" : 804.5508, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c924274d8ee00a09854ba", "title" : "Sports Data Collector (Football)", "company" : "Genius Sports", "location" : "Statistician Network", "locations" : [ "Statistician Network" ], "timestamp" : "2026-06-15T13:43:52.784", "fingerprint" : "7ff9169c5ad2193e8e5324a4fb12e99ad23bd507b28db852a79378186dced0ff", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/geniussportssn/jobs/7771530003", "externalId" : "7771530003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Letterkenny", "country" : "Ireland", "continent" : "eu", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Letterkenny, Ireland", "employmentType" : "CONTRACT", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Football" ], "softSkillsList" : [ "detail-oriented, organized" ], "softSkills" : [ { "name" : "detail-oriented, organized" } ], "majorSkills" : "Sports Data Collection, Football Knowledge, Real-time Data Recording", "majorSkillsList" : [ "Sports Data Collection, Football Knowledge, Real-time Data Recording" ], "coreResponsibilities" : "Attend live sports events and collect real-time, play-by-play data using proprietary software. Record accurate, real-time game data (scores, plays, key events) using mobile technology in a fast-paced, live environment.", "toolProficiency" : [ "proprietary software, mobile technology" ], "specialRequirements" : "All CVs are required to be submitted in English.", "outcomesObjectives" : "Increase earnings based on performance.", "qualificationsBasic" : "18+ years old. Knowledge of the sport. Reliable, detail-oriented, and organized. Availability on evenings and weekends.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Sports Data Collector (Sports Scout) Independent Contractor | Paid per game *Please note: All CVs are required to be submitted in English. Love sports? Turn your passion into paid experience. Genius Sports is a global sports technology company powering official live data for the world’s biggest leagues, federations, and media platforms. We’re recruiting Sports Data Collector (Sports Scout) to attend live sporting events and collect real-time, play-by-play data using our proprietary software. What you’ll do Attend live sports events in your local area from LOI Men's Premier Division and lower profile competitions Record accurate, real-time game data (scores, plays, key events) Use mobile technology in a fast-paced, live environment What we’re looking for Strong knowledge of the sport Reliable, detail-oriented, and organized Availability on evenings and weekends 18+ years old What we offer Fixed payment per game - 70 € Flexible, game-based work Training and testing provided Opportunity to increase earnings based on performance Interested? Tell us a bit about yourself and we’ll be in touch. \uD83D\uDC49 Learn more about our Statisticians Network: https://www.geniussports.com/careers/statisticians-network/ Genius Sports is an equal opportunities employer.", "summaryDescription" : "Sports Data Collector (Football) at Genius Sports. Skills: Sports Data Collection, Football Knowledge, Real-time Data Recording. Attend live sports events and collect real-time, play-by-play data using proprietary software. Record accurate, real-time game data (scores, plays, key events) using mobile technology in a fast-paced, live environment.", "postedDate" : "2026-06-14T20:58:20.905", "createdAt" : "2026-06-14T20:58:20.905", "lastUpdated" : "2026-06-15T13:43:52.784", "ingestTimestamp" : "2026-06-14T20:58:20.905", "mongoId" : "6a2c924274d8ee00a09854ba", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "detail-oriented, organized", "Sports Data Collection, Football Knowledge, Real-time Data Recording", "Football", "proprietary software, mobile technology" ], "skillCount" : 4, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 803.9052, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Sports", "llmIndustryConfidence" : 0.95 }, { "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, "_score" : 786.309, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Banking", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7eb674d8ee00a09535a0", "title" : "Associate AI Conversation Designer", "company" : "Pearl", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Junior Associate AI Conversation Designer in the Technology industry in Bulgaria, adjusted for a remote work mode and entry-level experience." }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States" ], "timestamp" : "2026-06-16T03:13:36.903", "fingerprint" : "2bfe07d81949740adc38fc347641c86adf7be41fc3ef511e884692c8a470a188", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/justanswer/jobs/8587759002", "externalId" : "8587759002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Us Pearl is AI for professional services at global scale, combining advanced AI with verified human expertise to deliver help that is accurate, accountable, and fast. Since 2003, our network has connected millions of customers with licensed professionals across 196 countries, making real expertise available anytime, anywhere. Our Values Data driven: Data decides, not egos Courageous: We take risks and challenge the status quo Innovative: We're constantly learning, creating, and adapting Lean: We focus on customers, using lean testing to learn how to serve them best Humble: Past success is not a guarantee of future success About the Role As an Associate Conversation Designer at Pearl, you'll help build and evolve chatbots that support and convert millions of customers around the world. This role is focused on the German market and requires native-level German fluency to design, review, and optimize customer-facing conversational experiences. You'll work alongside experienced conversation designers to create engaging, efficient conversational flows using our in-house language, blending creativity with data to deliver delightful AI + Human-powered experiences. This is an excellent opportunity for an early-career professional who is curious about AI, passionate about conversation design and user experiences, and excited to learn in a fast-paced, collaborative environment. This role works closely with cross-functional and international teams across multiple time zones. To support collaboration with our global partners, we are seeking candidates located in the Central or Eastern time zones of the United States. What You’ll Do Design and optimize chatbot flows to convert, engage, and support customers across e-commerce and customer service journeys Write clear, compelling conversation copy that aligns with brand tone and business objectives Analyze customer transcripts and chatbot performance to identify gaps and propose improvements Apply NLP/LLM tools and prompt engineering to enhance response quality and scalability Partner with international teams to localize and align bots with regional goals and personas Collaborate with analytics to evaluate performance metrics and measure impact Conduct QA (functional, linguistic, and regression) testing of bot interactions Lead or contribute to special projects (e.g., chatbot consolidation, competitor analysis, new bot launches) What We’re Looking For Native-level fluency in German Bachelor's degree or equivalent experience in Linguistics, Cognitive Science, Human-Computer Interaction, Computer Science, Human-Centered Design, or a related field 0–2 years of experience designing and launching chatbot or conversational AI solutions in production environments, or through internships, academic projects, or research Experience working with or exposure to LLMs and prompt engineering Introductory knowledge of Python or another scripting language applied to conversational systems or automation preferred Excellent written and verbal communication skills Strong attention to detail and ability to identify patterns, inconsistencies, and opportunities for improvement Eagerness to learn new technologies, tools, and ways of working Curious, analytical mindset with a passion for understanding customer behavior and solving problems Ability to manage multiple priorities and stay organized in a fast-paced environment Strong collaboration skills and openness to feedback Comfortable working with data and using insights to inform decisions Demonstrated initiative through coursework, internships, projects, leadership experiences, or extracurricular activities Interest in AI, conversational design, customer experience, or emerging technologies Bonus Points For Coursework, projects, or internships involving AI, chatbots, UX writing, customer experience, or product design Experience using tools such as Figma, Excel, PowerBI, Asana, LucidChart, or similar platforms Experience working on team-based projects with multiple stakeholders Interest in global markets, localization, or multilingual experiences Why Join Pearl At Pearl, we’re redefining how people access expert help—combining AI-powered conversation design with human expertise to deliver fast, personalized support. You’ll join a global, mission-driven team working at the intersection of technology, language, and empathy. Every interaction you design helps someone get answers, make decisions, or solve a problem that matters. We offer a flexible, collaborative environment where designers, engineers, and product thinkers shape the future of AI + Human interaction together. The Impact You’ll Have Your work will directly influence how customers experience Pearl every day. You'll play a key role in shaping conversational experiences that drive customer engagement, improve satisfaction, and increase conversion across the customer journey. By helping create intelligent, localized, and empathetic chatbot experiences, you'll contribute to the growth of Pearl's presence in the German market while helping customers get answers, make decisions, and solve problems more efficiently. This is your opportunity to shape the future of AI-human interaction in a company that’s redefining expert access at scale. If you’re passionate about designing conversations that matter—and you like solving tough problems with smart people—we’d love to hear from you. Remote From these States: Florida, Georgia, Illinois, Massachusetts, Michigan, New Jersey, New York, North Carolina, Ohio, Pennsylvania, Texas, Virginia, and Wisconsin. Pay Transparency: Pearl will provide pay transparency information upon application to those in qualifying jurisdictions. (Employment is with JustAnswer LLC, a Pearl company. Our Commitment to an Inclusive Workplace We welcome people from all backgrounds who seek the opportunity to help build a future where professional services are readily available to all. If you have curiosity, passion, and a collaborative spirit, come work with us. Pearl is committed to an inclusive workplace. Pearl is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. AI Disclosure & Informed Consent Artificial intelligence (AI) technology may be used during the hiring process to record, transcribe, analyze, and rank interview responses. By submitting your application and participating in the interview process, you acknowledge and consent to the use of AI technology in the hiring process. For more information see our AI Disclosure and Consent Policy. #LI-Remote", "summaryDescription" : "Associate AI Conversation Designer at Pearl", "postedDate" : "2026-06-14T19:20:07.903", "createdAt" : "2026-06-14T19:20:07.903", "lastUpdated" : "2026-06-16T03:13:36.903", "ingestTimestamp" : "2026-06-14T19:20:07.903", "mongoId" : "6a2c7eb674d8ee00a09535a0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 784.13257, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "693c2b8a70f0b99d5843fccf", "title" : "Data Solutions Lead, Data Collection Excellence", "company" : "Amazon Support Services Costa Rica SRL", "industry" : "Project/Program/Product Management--Technical, Technical Account Management, Artificial Intelligence", "salary" : { "min" : 3.5E7, "max" : 5.5E7, "currency" : "CRC", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Data Solutions role in Heredia, Costa Rica, adjusted for the technology industry and Amazon's company size." }, "location" : "Heredia, Heredia, CRI", "locations" : [ "Heredia, Heredia, CRI" ], "timestamp" : "2026-06-15T01:37:15.165", "fingerprint" : "475e6e88806db91de1fbe2130004f55252b2788eafd54a9b3ecf8b74ea3b5fb7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3139141/apply", "externalId" : "f190b93e-53eb-4fd9-b17b-573ddd4fd104", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Heredia", "state" : "Heredia", "country" : "Costa Rica", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "9.9984272,-84.1171215" } ], "locationText" : "Heredia, Heredia, Costa Rica", "employmentType" : "FULL_TIME", "minimumEducation" : "Associate's", "experienceMinYears" : 2, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python", "professionalSkills" : [ "ML data operations", "Customer relationship management", "Technical advisory", "Partnership building", "ML workflow capabilities", "Annotation scenarios" ], "hardSkillsList" : [ "Data creation strategies", "ML data operations", "Data annotation", "ML workflows" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data creation strategies", "level" : "intermediate" }, { "name" : "ML data operations", "level" : "intermediate" }, { "name" : "Data annotation", "level" : "intermediate" }, { "name" : "ML workflows", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "ML data solutions, Customer consultation, Data collection requirements", "majorSkillsList" : [ "ML data solutions", "Customer consultation", "Data collection requirements" ], "coreResponsibilities" : "Drive and document ML/GenAI solutions, Transform research objectives into requirements, Coordinate across teams for delivery, Align stakeholders, Own relationships with customer scientists, Provide consultation on ML workflow capabilities, Monitor and optimize collection health metrics, Ensure customer success, Drive customer adoption, Provide technical value, Provide exemplary customer experience, Guide customers on workflow feasibility, Guide customers on data collection best practices, Collaborate with implementation teams, Define technical requirements, Validate technical requirements, Evaluate scalability of annotation scenarios, Provide strategic recommendations, Influence technical documentation, Influence technical guidelines", "teamCollaboration" : "Customer scientists; Implementation teams", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "ML data operations; Data annotation; ML workflows; GenAI data collections", "domainList" : [ "ml-data-operations", "data-annotation", "ml-workflows", "genai-data-collections" ], "domainSpecificKnowledge" : [ "ML data operations", "Data annotation", "ML workflows", "GenAI data collections" ], "communicationSkills" : "Customer communication; Technical consultation", "documentationSkills" : "Technical documentation; Technical guidelines", "outcomesObjectives" : "Deliver meaningful change for models; Maximize customer value", "qualificationsBasic" : "2+ years of experience in ML data operations, Understanding of data annotation/ML workflows, Outstanding customer communication and management skills, Technical consultation skills", "qualificationsPreferred" : "Bachelor's degree in Business, Computer Science, or related field, Working knowledge of JSON, Working knowledge of Command Line, Working knowledge of Python, Project management expertise, Technical account management experience, Background in customer success, Background in solution consulting", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As a Data Solutions Lead, you'll be the trusted advisor for our AGI-DS scientists, providing expert consultation on ML/Gen AI data collections and managing customer relationships. You'll drive business value through technical advisory and partnership building, creating and managing workstreams that delight our customers and deliver meaningful change for the models that back them. Key job responsibilities Drive and document effective ML/GenAI solutions for customer requests, transforming complex research objectives into clear, actionable data collection requirements Coordinate across teams to ensure seamless delivery and stakeholder alignment Own relationships with customer scientists, becoming their go-to partner for ML data solutions Provide consultation on ML workflow capabilities, helping customers maximize value Monitor and optimize collection health metrics to ensure customer success Drive customer adoption through providing technical value and the provision of an exemplary customer experience. You'll also: Guide customers on workflow feasibility and data collection best practices Collaborate with implementation teams to define and validate technical requirements Evaluate scalability of annotation scenarios and provide strategic recommendations Influence technical documentation and guidelines Basic Qualifications: - Demonstrated experience in effectively defining optimal data creation strategies and executing them - Associate's degree or equivalent work experience - 2+ years of experience in ML data operations, with a strong understanding of data annotation/ML workflows and concepts - Outstanding customer communication and management skills, especially in technical consultation - Ability to translate complex technical concepts into tactical applications Preferred Qualifications: - Bachelor's degree in Business, Computer Science, or related field - Working knowledge of JSON, Command Line, and Python - Project management expertise - Technical account management experience - Background in customer success or solution consulting 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 Solutions Lead, Data Collection Excellence at Amazon Support Services Costa Rica SRL. Skills: ML data solutions, Customer consultation, Data collection requirements. Drive and document ML/GenAI solutions. Transform research objectives into requirements", "postedDate" : "2026-06-13T02:59:19.198", "createdAt" : "2026-06-13T02:59:19.198", "lastUpdated" : "2026-06-15T01:37:15.165", "ingestTimestamp" : "2026-06-13T02:59:19.198", "mongoId" : "693c2b8a70f0b99d5843fccf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3139141/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data creation strategies", "ML data operations", "Data annotation", "ML workflows", "Leadership", "ML data solutions", "Customer consultation", "Data collection requirements", "Customer relationship management", "Technical advisory", "Partnership building", "ML workflow capabilities", "Annotation scenarios", "Project management", "GenAI data collections" ], "skillCount" : 15, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "_score" : 782.27893, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2523df74d8ee00a00e05fe", "title" : "Data Collection Contractor", "company" : "Obvio", "industry" : "Operations", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Data Collection Contractor in College Park, United States, adjusted for the technology industry." }, "location" : "College Park, MD / Mid-Atlantic Region", "locations" : [ "College Park, MD / Mid-Atlantic Region" ], "timestamp" : "2026-06-14T21:26:35.490", "fingerprint" : "9b7d9c750499c5d98ae545bab4909996fb8ad1d00d710512cbe55f4603c99a10", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/obvio/4effa14c-d785-4703-a1a2-19d90f8d4bb0/application", "externalId" : "4effa14c-d785-4703-a1a2-19d90f8d4bb0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "College Park", "state" : "Maryland", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9806660,-76.9369189" }, { "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "workMode" : "onsite" }, { "state" : "Delaware", "country" : "United States", "continent" : "na", "workMode" : "onsite" }, { "state" : "Virginia", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "College Park, Maryland, United States; Pennsylvania, United States; Delaware, United States; Virginia, United States", "employmentType" : "CONTRACT", "professionalSkills" : [ "Traffic behavior studies", "Field data collection", "AI traffic safety" ], "hardSkillsList" : [ "Equipment setup", "Data upload" ], "softSkillsList" : [ "Dependable", "Attention to detail" ], "hardSkills" : [ { "name" : "Equipment setup", "level" : "intermediate" }, { "name" : "Data upload", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Dependable" }, { "name" : "Attention to detail" } ], "majorSkills" : "Data collection, Field operations", "majorSkillsList" : [ "Data collection", "Field operations" ], "coreResponsibilities" : "Travel to traffic study deployment locations, Set up roadside traffic study equipment, Monitor roadside traffic study equipment, Deploy multiple cameras or sensors, Manage multiple cameras or sensors, Monitor study location, Ensure equipment is positioned safely, Ensure equipment is positioned accurately, Ensure equipment is positioned consistently, Follow field procedures, Follow safety protocols, Follow deployment instructions, Upload collected data, Recharge provided equipment, Maintain provided equipment, Coordinate with Obvio team, Meet with team in College Park", "teamCollaboration" : "Coordinate with Obvio team", "domainKnowledge" : "AI; Transportation technology; Public safety; Smart cities", "domainList" : [ "ai", "transportation-technology", "public-safety", "smart-cities" ], "domainSpecificKnowledge" : [ "AI", "Transportation technology", "Public safety", "Smart cities" ], "specialRequirements" : "Travel up to two hours roundtrip, Availability 3-4 days per week, Periodic meetings in College Park", "qualificationsBasic" : "Personal vehicle, Valid driver's license, Willingness to travel, Reliable home internet, Ability to recharge equipment", "qualificationsPreferred" : "Technical education or experience, Computer science background, Engineering background, Data science background, Transportation background, Field operations background, Recent graduates encouraged, Graduate students encouraged, Hands-on technical field experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT OBVIO AI Each year, more than 40,000 people in the U.S. leave home and never make it back due to traffic crashes. At Obvio, we believe these deaths are preventable. We deploy solar-powered, AI-assisted cameras to enforce traffic laws where pedestrians are most vulnerable—automating enforcement in ways that traditional systems cannot. Our approach has already led to a 50% reduction in reckless driving in early partner cities. Founded by the team behind Motive's AI dashcam and backed by Bain Capital Ventures and Khosla Ventures, we are building the intelligence layer for safer streets globally. ABOUT THE OPPORTUNITY Obvio is seeking a contract Field Data Collection Technician to support traffic behavior studies across the Mid-Atlantic region, including Pennsylvania, Delaware, Maryland, and Virginia. These studies will focus on areas such as school zones, high-incident intersections, and busy pedestrian corridors. This is a high-visibility initiative, with findings expected to be shared with media outlets, local newspapers, and public officials. This opportunity is ideal for someone who enjoys hands-on technical work, is comfortable working independently in the field after training, and has an interest in AI, transportation technology, public safety, or real-world data collection. Contractors will receive all necessary field equipment, including tripods, cameras, speed sensors, laptops, safety vests, and related materials. Obvio will also provide training on field deployment procedures, equipment setup, safety expectations, and data upload requirements. WHAT YOU’LL DO - Travel to traffic study deployment locations across the Mid-Atlantic region - Set up and monitor roadside traffic study equipment, including cameras, speed sensors, tripods, laptops, and related hardware - Deploy and manage multiple cameras or sensors at once according to study guidelines - Monitor each study location for approximately two hours - Ensure equipment is positioned safely, accurately, and consistently - Follow Obvio’s field procedures, safety protocols, and deployment instructions - Upload collected data at the end of each day using a reliable home internet connection - Recharge and maintain provided equipment, including laptops and field hardware - Coordinate with the Obvio team based in College Park as needed - Meet with the team in College Park, MD from time to time for training, equipment handoff, or operational coordination WHAT WE’RE LOOKING FOR - Highly motivated, dependable, and comfortable working independently in the field - Strong attention to detail and ability to follow technical instructions carefully - Comfortable transporting, setting up, and troubleshooting field equipment - Willingness to work outdoors and adapt to changing field conditions - Interest in AI, transportation technology, smart cities, public safety, or real-world data collection - Comfortable with a flexible field schedule based on deployment needs - Technical education or experience preferred, such as computer science, engineering, data science, transportation, field operations, or a related area - Recent graduates, graduate students, or candidates with hands-on technical field experience are encouraged to apply REQUIREMENTS - Personal vehicle for transporting equipment to deployment locations - Valid driver’s license - Willingness to travel to field sites across Pennsylvania, Delaware, Maryland, and Virginia - Ability to travel up to approximately two hours roundtrip per day, depending on deployment location - Access to reliable home internet, not a mobile hotspot, for end-of-day data uploads - Ability to recharge the provided laptop and equipment daily - Availability for 3–4 days per week, with hours varying based on study schedules and travel needs - Ability to periodically meet with the team in College Park, MD WHAT OBVIO PROVIDES - Paid contract opportunity - Paid training - All necessary field equipment, including cameras, tripods, speed sensors, laptops, safety vests, and related materials - Mileage reimbursement for approved travel - Hands-on experience with real-world AI traffic safety technology - Opportunity to contribute to a high-impact public safety initiative WHY OBVIO - Your work will help save lives and improve road safety - Series A of $22M led by Bain Capital - Fast-moving startup environment with meaningful ownership - Competitive compensation and early-stage equity Obvio is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Obvio considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. Obvio is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.", "summaryDescription" : "Data Collection Contractor at Obvio. Skills: Data collection, Field operations. Travel to traffic study deployment locations. 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You'll also: Guide customers on workflow feasibility and data collection best practices Collaborate with implementation teams to define and validate technical requirements Evaluate scalability of annotation scenarios and provide strategic recommendations Influence technical documentation and guidelines Basic Qualifications: - Demonstrated experience in effectively defining optimal data creation strategies and executing them - Associate's degree or equivalent work experience - 2+ years of experience in ML data operations, with a strong understanding of data annotation/ML workflows and concepts - Outstanding customer communication and management skills, especially in technical consultation - Ability to translate complex technical concepts into tactical applications Preferred Qualifications: - Bachelor's degree in Business, Computer Science, or related field - Working knowledge of JSON, Command Line, and Python - Project management expertise - Technical account management experience - Background in customer success or solution consulting Our inclusive culture empowers Amazonians to deliver the best results for our customers. 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You'll also: Guide customers on workflow feasibility and data collection best practices Collaborate with implementation teams to define and validate technical requirements Evaluate scalability of annotation scenarios and provide strategic recommendations Influence technical documentation and guidelines Basic Qualifications: - Bachelor's degree in a relevant field or equivalent work experience - Experience working with customers with a passion for delivering exceptional service, or experience in technical support and experience that includes strong analytical skills, attention to detail, and effective communication abilities - Demonstrated experience in effectively defining optimal data creation strategies and executing them - 2+ years of experience in ML data operations, with a strong understanding of data annotation/ML workflows and concepts - Ability to translate complex technical concepts into tactical applications Preferred Qualifications: - Bachelor's degree in Computer Science, Business or a related field - Experience in project management - 2+ years of technical support experience, or experience in leadership or account management positions - Working knowledge of JSON, Command Line, and Python - Background in customer success or solution consulting Our inclusive culture empowers Amazonians to deliver the best results for our customers. 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With a team of experienced attorneys, the firm is committed to providing aggressive, proactive advocacy in every matter it handles — from straightf", "summaryDescription" : "Associate Attorney Collections at Bosun", "createdAt" : "2026-06-15T22:12:02.146", "lastUpdated" : "2026-06-16T07:26:11.413", "ingestTimestamp" : "2026-06-15T22:12:02.146", "mongoId" : "6a30588bf292fd229cf42f11", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 145000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Junior", "dataQualityScore" : 0.6666667, "_score" : 770.1337, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Legal", "llmIndustryConfidence" : 0.95 }, { "id" : "68b706987fc9a711f0f6fe22", "title" : "HR Contact Center Associate with Dutch and English", "company" : "Amazon Czech Republic Services s.r.o. - G88", "industry" : "Human Resources, amazonian experience and tech", "salary" : { "min" : 550000.0, "max" : 750000.0, "currency" : "CZK", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Entry-level HR Contact Center Associate with Dutch and English in Prague, Czech Republic, based on 2024-2025 market data for the E-Commerce industry." }, "location" : "CZE", "locations" : [ "CZE" ], "timestamp" : "2026-06-15T07:27:58.310", "fingerprint" : "1459037b23f5a68c9ba15dc82a64504fd6a3b03dfb03ec5c760e94c31a5fc8fa", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3052308/apply", "externalId" : "83ea388c-bc55-4fd6-9bec-e5977d4d5941", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Prague", "country" : "Czech Republic", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.0874654,14.4212535" }, { "country" : "Poland", "continent" : "eu", "workMode" : "remote" }, { "country" : "Slovakia", "continent" : "eu", "workMode" : "remote" }, { "country" : "Czech Republic", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Prague, Czech Republic; Poland; Slovakia; Czech Republic", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Customer service", "Employee life-cycle", "Data management", "Onboarding", "Terminations" ], "hardSkillsList" : [ "HR queries", "Payroll processing", "Leave processing", "Absence reporting" ], "hardSkills" : [ { "name" : "HR queries", "level" : "intermediate" }, { "name" : "Payroll processing", "level" : "intermediate" }, { "name" : "Leave processing", "level" : "intermediate" }, { "name" : "Absence reporting", "level" : "intermediate" } ], "majorSkills" : "Dutch language, English language, Customer support", "majorSkillsList" : [ "Dutch language", "English language", "Customer support" ], "coreResponsibilities" : "Handle HR queries in Dutch, Handle HR queries in English, Resolve HR queries, Refer to documentation, Escalate unresolved queries, Take ownership of employee contacts, Resolve employee contacts, Identify gaps in documentation, Identify gaps in internal processes, Identify areas for service improvement, Communicate with employees, Explain queries, Resolve employee concerns, Seek employee feedback, Improve levels of service, Work rotational shifts, Work weekends, Work weekdays, Work bank holidays", "teamCollaboration" : "International teams; Different locations; Different cultures", "domainKnowledge" : "Employee life-cycle; Benefits; Payroll; Leave of absence; Data management; Onboarding; Terminations", "domainList" : [ "employee-life-cycle", "benefits", "payroll", "leave-of-absence", "data-management", "onboarding", "terminations" ], "domainSpecificKnowledge" : [ "Employee life-cycle", "Benefits", "Payroll", "Leave of absence", "Data management", "Onboarding", "Terminations" ], "toolProficiency" : [ "Windows", "Microsoft Office", "Outlook", "Live chat", "Case management systems" ], "communicationSkills" : "Verbal communication; Written communication", "documentationSkills" : "Standard operating procedures", "problemSolvingSkills" : "Problem-solving skills", "specialRequirements" : "Rotational shifts, Weekends, Bank holidays", "outcomesObjectives" : "High degree of customer focus", "qualificationsBasic" : "Proficiency in Dutch, Proficiency in English, Computer skills", "qualificationsPreferred" : "Work experience in administration, Work experience in customer service, Work experience in HR environment, Proficiency in additional European languages, Ability to work in international teams, Ability to work with confidential information, Flexibility to work in fast-paced environment", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "*This role can be office based in Prague, Czech Republic. Additionally, this can be a Home Office based role – it can be performed from any location within Poland, Slovakia and Czech Republic. * At Amazon we believe that every day is still day one. It's our job to make bold bets, and we get our energy from inventing on behalf of customers. Success is measured against the possible, not the probable. This is your chance to make history. Join the HR Contact Center team, which supports Amazon across certain EMEA (Europe, Middle East and Africa) countries. Our team provides a multi-language capability to the internal customers, and is looking for HR Contact Center Associates with Dutch and English to join us. Reporting to a Team Manager, the team acts as first point of contact for employees and managers via phone, live chat, email, and internal case management systems by answering Employee’s life-cycle queries related to benefits, payroll, leave of absence, data management, onboarding and terminations as well as processing absence reporting requests. Responsibilities: - Handle and resolve HR queries in Dutch and English by referring to documentation such as frequently asked questions and standard operating procedures and escalate where these cannot be resolved. - Take ownership of employee contacts ensuring that each contact is accepted and resolved with a high degree of customer focus. - Identify gaps in the supporting documentation, internal processes and areas where the level of customer service could be improved. - Communicate effectively both verbally and in written form with employees to explain and resolve queries and concern for the whole employee life-cycle at Amazon. - Actively seeks employee feedback to improve levels of service. - Being able to work on rotational shifts in both weekends and weekdays, including bank holidays. Key job responsibilities Basic Qualifications: Basic qualifications: - Very good proficiency in written and verbal in Dutch (B2 CEFR) and English (B2 CEFR). - Computer skills (Windows, Microsoft Office, Outlook) Preferred Qualifications: Preferred qualifications: - Relevant work experience in administration, customer service/ call center or HR environment. - Very good proficiency in additional European languages - Ability to work in international teams where team members are in different locations and belong to different cultures - Ability to work with confidential information - Flexibility to work in a fast-paced environment - Good interpersonal, communication, time management, and problem-solving skills. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "HR Contact Center Associate with Dutch and English at Amazon Czech Republic Services s.r.o. - G88. Skills: Dutch language, English language, Customer support. Handle HR queries in Dutch. Handle HR queries in English", "postedDate" : "2026-06-13T20:10:14.508", "createdAt" : "2026-06-13T20:10:14.508", "lastUpdated" : "2026-06-15T07:27:58.310", "ingestTimestamp" : "2026-06-13T20:10:14.508", "mongoId" : "68b706987fc9a711f0f6fe22", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3052308/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "HR queries", "Payroll processing", "Leave processing", "Absence reporting", "Dutch language", "English language", "Customer support", "Customer service", "Employee life-cycle", "Data management", "Onboarding", "Terminations", "Benefits", "Payroll", "Leave of absence", "Windows", "Microsoft Office", "Outlook", "Live chat", "Case management systems" ], "skillCount" : 20, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 765.2764, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "69d5e4952beec4dd3d931827", "title" : "Data Solutions Lead Manager, Data Collection Excellence", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Technical, Technical Account Management, Artificial Intelligence", "salary" : { "min" : 81000.0, "max" : 141800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T07:48:53.979", "fingerprint" : "a6512bda53920a87bc9db62d17b33c5441b86149dd6787100e1b62057412e484", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10385651/apply", "externalId" : "e8b97dba-f23f-4f14-a1d5-5d45573c8d1c", "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", "experienceMinYears" : 5, "experienceLevel" : "Manager", "softSkillsList" : [ "Leadership" ], "softSkills" : [ { "name" : "Leadership" } ], "coreResponsibilities" : "Manage and monitor team performance, Create a culture of ownership, Act as an SME Manager, Gain deep domain knowledge, Own global program improvement initiatives, Coordinate across global teams, Influence stakeholders, Ensure effective and expedient delivery, Monitor and optimize collection health metrics, Ensure customer success, Drive customer adoption, Provide technical value, Provide exemplary customer experience, Act as escalation point, Assist senior level customers, Collaborate with product teams, Collaborate with technology teams, Implement effective long term solutions, Consolidate customer feedback, Translate feedback into improvement initiatives", "teamCollaboration" : "Global teams; Product teams; Technology teams", "projectManagementSkills" : [ "Resource planning", "Managing schedules", "Reporting project status", "Prioritizing tasks" ], "domainKnowledge" : "Data collection for AI; ML/Gen AI data collections", "domainList" : [ "data-collection-for-ai", "ml-gen-ai-data-collections" ], "domainSpecificKnowledge" : [ "Data collection for AI", "ML/Gen AI data collections" ], "qualificationsBasic" : "5+ years people management, Experience in project management", "qualificationsPreferred" : "Bachelor's degree in Computer Science, 2+ years technical support experience, Experience in leadership positions, Experience in account management positions", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about bridging the gap between technical ML solutions and customer success? Do you thrive providing consultation in an ambiguous environment, all while building customer partnerships? Do you enjoy leading dynamic and fast paced teams with global impact? We're looking for a Data Solutions Lead Managers to join our growing team! About the Role: As a Data Solutions Lead Manager, you will manage a team of Data Collection owners who provide expert consultation on ML/Gen AI data collections and own execution from start to finish. You'll drive business value by providing regular feedback and ensuring your team is working efficiently, manage active escalations and help them build long standing partnerships with customers. If necessary you will have the technical capability to step in and take control of high priority or challenging collections, delighting our customers and deliver meaningful change for the models that back them. Key job responsibilities Manage and monitor your teams performance, creating a culture of ownership in ambiguous situations Act as an SME Manager, gaining deep domain knowledge in the field of data collection for AI and relevant products Own global program improvement initiatives for the Data Collection Excellence Organization Coordinate across global teams, influencing stakeholders to ensure effective and expedient delivery Monitor and optimize collection health metrics to ensure customer success Drive customer adoption through providing technical value and the provision of an exemplary customer experience. You'll also: Act as an escalation point for challenging data collections, directly assisting senior level customers and your team. Collaborate with product and technology teams to implement effective long term solutions Consolidate customer feedback and translate it into improvement initiatives Basic Qualifications: - 5+ years of people management experience - Experience in project management including resource planning, managing schedules, reporting project status and prioritizing tasks Preferred Qualifications: - Bachelor's degree in Computer Science, Business or a related field - 2+ years of technical support experience, or experience in leadership or account management positions Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, BELLEVUE - 81,000.00 - 141,800.00 USD annually", "summaryDescription" : "Data Solutions Lead Manager, Data Collection Excellence at Amazon.com Services LLC. Manage and monitor team performance. Create a culture of ownership", "postedDate" : "2026-06-13T17:46:51.723", "createdAt" : "2026-06-13T17:46:51.723", "lastUpdated" : "2026-06-15T07:48:53.979", "ingestTimestamp" : "2026-06-13T17:46:51.723", "mongoId" : "69d5e4952beec4dd3d931827", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10385651/apply", "salaryAnnualMin" : 81000, "salaryAnnualMax" : 141800, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Leadership", "Resource planning", "Managing schedules", "Reporting project status", "Prioritizing tasks", "Data collection for AI", "ML/Gen AI data collections" ], "skillCount" : 7, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "_score" : 757.7542, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69c94a7f9bc74574cbbb48a1", "title" : "Senior Data Solutions Lead, Data Collection Excellence", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Technical, Technical Account Management, Artificial Intelligence", "salary" : { "min" : 74500.0, "max" : 130300.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T05:29:30.204", "fingerprint" : "84faf7bf5c24c4b3f6c7738581ffd13beb18759274a180ac3b1eb7a9d13a3d84", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3197054/apply", "externalId" : "3ecf8490-6a1c-44a7-8769-925b69a3d4a9", "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", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "ML, Gen AI", "professionalSkills" : [ "Technical advisory", "Partnership building", "Workflow feasibility", "Annotation scalability" ], "hardSkillsList" : [ "ML workflow capabilities", "Collection health metrics" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "ML workflow capabilities", "level" : "intermediate" }, { "name" : "Collection health metrics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data collection, ML solutions, Customer success", "majorSkillsList" : [ "Data collection", "ML solutions", "Customer success" ], "coreResponsibilities" : "Drive ML/GenAI solutions, Document ML/GenAI solutions, Transform research objectives, Create data collection requirements, Own global team improvement projects, Coordinate across teams, Ensure seamless delivery, Ensure stakeholder alignment, Own relationships with customer scientists, Provide expert consultation, Monitor collection health metrics, Optimize collection health metrics, Drive customer adoption, Provide technical value, Provide exemplary customer experience, Guide customers on workflow feasibility, Guide customers on data collection best practices, Collaborate with implementation teams, Define technical requirements, Validate technical requirements, Evaluate scalability of annotation scenarios, Provide strategic recommendations, Influence technical documentation, Author technical documentation, Influence technical guidelines, Author technical guidelines", "teamCollaboration" : "Customer scientists; Implementation teams; Global team", "projectManagementSkills" : [ "Project management", "Program management" ], "domainKnowledge" : "ML data solutions; ML workflow capabilities; Data collection best practices; Annotation scalability", "domainList" : [ "ml-data-solutions", "ml-workflow-capabilities", "data-collection-best-practices", "annotation-scalability" ], "domainSpecificKnowledge" : [ "ML data solutions", "ML workflow capabilities", "Data collection best practices", "Annotation scalability" ], "communicationSkills" : "Technical documentation", "documentationSkills" : "Technical documentation; Technical guidelines", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Deliver meaningful change; Make global process efficient", "qualificationsBasic" : "Experience working with customers, Analytical skills, Attention to detail, Effective communication abilities", "qualificationsPreferred" : "Master's degree, Experience in project management, Experience in program management, 4+ years of technical support experience, Experience in leadership positions, Experience in account management positions", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about bridging the gap between technical ML solutions and customer success? Do you thrive providing consultation in an ambiguous environment, all while building customer partnerships? Do you have experience managing complex technical projects from end to end? We're looking for a Senior Data Solutions Lead to join our growing team! About the Role: As a Data Solutions Lead, you'll be the trusted advisor for our AGI-DS scientists, providing expert consultation on high complexity ML/Gen AI data collections and manage emerging customer relationships. You'll drive business value through technical advisory and partnership building, creating and managing workstreams that delight our customers and deliver meaningful change for the models that back them, while simultaneously making global process more efficient. Key job responsibilities What You'll Do: Drive and document effective ML/GenAI solutions for customer requests, transforming complex research objectives into clear, actionable data collection requirements Own global team improvement projects Coordinate across teams to ensure seamless delivery and stakeholder alignment Own relationships with customer scientists, becoming their go-to partner for ML data solutions Provide expert consultation on ML workflow capabilities, helping customers maximize value Monitor and optimize collection health metrics to ensure customer success Drive customer adoption through providing technical value and the provision of an exemplary customer experience. You'll also: Guide customers on workflow feasibility and data collection best practices Collaborate with implementation teams to define and validate technical requirements Evaluate scalability of annotation scenarios and provide strategic recommendations Influence and author technical documentation and guidelines Basic Qualifications: - Experience working with customers with a passion for delivering exceptional service, or experience in technical support and experience that includes strong analytical skills, attention to detail, and effective communication abilities Preferred Qualifications: - Master's degree in business administration, finance, economics, computer science, data science, engineering, or other related field - Experience in project or program management - 4+ years of technical support experience, or experience in leadership or account management positions 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 base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Sunnyvale - 74,500.00 - 130,300.00 USD annually", "summaryDescription" : "Senior Data Solutions Lead, Data Collection Excellence at Amazon.com Services LLC. Skills: Data collection, ML solutions, Customer success. Drive ML/GenAI solutions. Document ML/GenAI solutions", "postedDate" : "2026-06-13T10:59:13.338", "createdAt" : "2026-06-13T10:59:13.338", "lastUpdated" : "2026-06-15T05:29:30.204", "ingestTimestamp" : "2026-06-13T10:59:13.338", "mongoId" : "69c94a7f9bc74574cbbb48a1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3197054/apply", "salaryAnnualMin" : 74500, "salaryAnnualMax" : 130300, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "ML workflow capabilities", "Collection health metrics", "Leadership", "Data collection", "ML solutions", "Customer success", "Technical advisory", "Partnership building", "Workflow feasibility", "Annotation scalability", "Project management", "Program management", "ML data solutions", "Data collection best practices" ], "skillCount" : 14, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "_score" : 754.55133, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c91a874d8ee00a09839ca", "title" : "Welsh Audio Specialist - Freelance AI Trainer Project", "company" : "Meridial", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-Senior Level AI Trainer in the Technology industry, adjusted for a remote, contract role." }, "location" : "Worldwide - Remote", "locations" : [ "Worldwide - Remote" ], "timestamp" : "2026-06-16T06:05:47.131", "fingerprint" : "9c5e2044bfa32388a62a8af7cfbca768631f4a9f263375889393860749ce1f77", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/agency/jobs/4896017101", "externalId" : "4896017101", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid-Senior Level", "coreResponsibilities" : "Produce evaluation tasks, Audit conversational AI outputs, Generate datasets, Optimize model performance", "domainKnowledge" : "Agentic audio models; Customer support scenarios", "domainList" : [ "agentic-audio-models", "customer-support-scenarios" ], "domainSpecificKnowledge" : [ "Agentic audio models", "Customer support scenarios" ], "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Project Overview We are sourcing independent Audio Evaluation Specialists for an AI benchmark evaluation project assessing advanced agentic audio models. As AI models increasingly handle complex workflows in this domain—specifically real-world customer support scenarios like flight bookings, financial services, and telecommunications—their accuracy relies entirely on robust, expert-crafted training data. The objective of this project is to autonomously produce high-quality evaluation tasks through simulated interactions, audit conversational AI outputs, and generate clean, reliable datasets to optimize model performance. Project Deliverables company‑sponsored benefits such as health insurance and PTO do not apply. Engagement Type: Freelance / Independent Contractor Workplace Type: Remote Seniority Level: Mid-Senior Level", "summaryDescription" : "Welsh Audio Specialist - Freelance AI Trainer Project at Meridial. Produce evaluation tasks. Audit conversational AI outputs", "postedDate" : "2026-06-14T20:45:30.134", "createdAt" : "2026-06-14T20:45:30.134", "lastUpdated" : "2026-06-16T06:05:47.131", "ingestTimestamp" : "2026-06-14T20:45:30.134", "mongoId" : "6a2c91a874d8ee00a09839ca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Agentic audio models", "Customer support scenarios" ], "skillCount" : 2, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 749.95294, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "68b706987fc9a711f0f6fe23", "title" : "HR Contact Center Associate with Dutch and English", "company" : "Amazon Corporate Services Poland Sp. z o.o. - J82", "industry" : "Human Resources, amazonian experience and tech", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level HR Contact Center Associate in Poland, adjusted for the technology industry and the specified work locations." }, "location" : "POL", "locations" : [ "POL" ], "timestamp" : "2026-06-15T02:48:08.411", "fingerprint" : "c0d2c612f22d85e6483edc8d0c421f5870d427c418ded0ef66388914f79df6a2", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3052293/apply", "externalId" : "25ff911f-1e5f-44ca-896a-82f292313458", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Poland", "continent" : "eu", "workMode" : "onsite" }, { "country" : "Slovakia", "continent" : "eu", "workMode" : "onsite" }, { "country" : "Czech Republic", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Poland; Slovakia; Czech Republic", "employmentType" : "FULL_TIME", "minimumEducation" : "High school or equivalent", "professionalSkills" : [ "Employee relations", "HR processes", "Organizational development", "Customer focus" ], "hardSkillsList" : [ "Dutch language", "English language", "Payroll processing", "Data management", "Onboarding", "Terminations processing", "Absence reporting" ], "softSkillsList" : [ "Interpersonal skills", "Time management", "Problem-solving skills" ], "hardSkills" : [ { "name" : "Dutch language", "level" : "intermediate" }, { "name" : "English language", "level" : "intermediate" }, { "name" : "Payroll processing", "level" : "intermediate" }, { "name" : "Data management", "level" : "intermediate" }, { "name" : "Onboarding", "level" : "intermediate" }, { "name" : "Terminations processing", "level" : "intermediate" }, { "name" : "Absence reporting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Interpersonal skills" }, { "name" : "Time management" }, { "name" : "Problem-solving skills" } ], "majorSkills" : "HR Contact Center, Dutch and English, Employee lifecycle queries", "majorSkillsList" : [ "HR Contact Center", "Dutch and English", "Employee lifecycle queries" ], "coreResponsibilities" : "Handle HR queries in Dutch, Handle HR queries in English, Resolve HR queries, Refer to documentation, Escalate unresolved queries, Take ownership of employee contacts, Resolve contacts with customer focus, Identify gaps in documentation, Identify gaps in internal processes, Identify areas for service improvement, Communicate verbally with employees, Communicate in writing with employees, Explain employee queries, Resolve employee concerns, Seek employee feedback, Improve levels of service, Work on rotational shifts, Work weekends, Work weekdays, Work bank holidays", "teamCollaboration" : "International teams; Different locations; Different cultures", "domainKnowledge" : "Employee lifecycle; Benefits; Payroll; Leave of absence; Data management; Onboarding; Terminations", "domainList" : [ "employee-lifecycle", "benefits", "payroll", "leave-of-absence", "data-management", "onboarding", "terminations" ], "domainSpecificKnowledge" : [ "Employee lifecycle", "Benefits", "Payroll", "Leave of absence", "Data management", "Onboarding", "Terminations" ], "toolProficiency" : [ "Microsoft Office", "Live chat" ], "communicationSkills" : "Verbal communication; Written communication", "documentationSkills" : "Standard operating procedures", "problemSolvingSkills" : "Problem-solving", "specialRequirements" : "Rotational shifts, Weekends, Weekdays, Bank holidays", "qualificationsBasic" : "Experience in human resources, Experience with customer service, Experience with Microsoft Office products, High school or equivalent", "qualificationsPreferred" : "Relevant work experience in administration, Relevant work experience in customer service, Relevant work experience in call center, Relevant work experience in HR environment, Very good proficiency in additional European languages, Ability to work in international teams, Ability to work with confidential information, Flexibility to work in a fast-paced environment", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "This role can be performed from any location within Poland, Slovakia and Czech Republic. * At Amazon we believe that every day is still day one. It's our job to make bold bets, and we get our energy from inventing on behalf of customers. Success is measured against the possible, not the probable. This is your chance to make history. Join the HR Contact Center team, which supports Amazon across certain EMEA (Europe, Middle East and Africa) countries. Our team provides a multi-language capability to the internal customers, and is looking for HR Contact Center Associates with Dutch and English to join us. Reporting to a Team Manager, the team acts as first point of contact for employees and managers via phone, live chat, email, and internal case management systems by answering Employee’s life-cycle queries related to benefits, payroll, leave of absence, data management, onboarding and terminations as well as processing absence reporting requests. Responsibilities: - Handle and resolve HR queries in Dutch and English by referring to documentation such as frequently asked questions and standard operating procedures and escalate where these cannot be resolved. - Take ownership of employee contacts ensuring that each contact is accepted and resolved with a high degree of customer focus. - Identify gaps in the supporting documentation, internal processes and areas where the level of customer service could be improved. - Communicate effectively both verbally and in written form with employees to explain and resolve queries and concern for the whole employee life-cycle at Amazon. - Actively seeks employee feedback to improve levels of service. - Being able to work on rotational shifts in both weekends and weekdays, including bank holidays. Key job responsibilities Basic Qualifications: Experience in human resources Experience with customer service Experience with Microsoft Office products and applications High school or equivalent Experience in confidential environments Preferred Qualifications: • Relevant work experience in administration, customer service/ call center or HR environment. • Very good proficiency in additional European languages • Ability to work in international teams where team members are in different locations and belong to different cultures • Ability to work with confidential information • Flexibility to work in a fast-paced environment • Good interpersonal, communication, time management, and problem-solving skills. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "HR Contact Center Associate with Dutch and English at Amazon Corporate Services Poland Sp. z o.o. - J82. Skills: HR Contact Center, Dutch and English, Employee lifecycle queries. Handle HR queries in Dutch. Handle HR queries in English", "postedDate" : "2026-06-13T07:33:53.441", "createdAt" : "2026-06-13T07:33:53.441", "lastUpdated" : "2026-06-15T02:48:08.411", "ingestTimestamp" : "2026-06-13T07:33:53.441", "mongoId" : "68b706987fc9a711f0f6fe23", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3052293/apply", "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Dutch language", "English language", "Payroll processing", "Data management", "Onboarding", "Terminations processing", "Absence reporting", "Interpersonal skills", "Time management", "Problem-solving skills", "HR Contact Center", "Dutch and English", "Employee lifecycle queries", "Employee relations", "HR processes", "Organizational development", "Customer focus", "Employee lifecycle", "Benefits", "Payroll", "Leave of absence", "Terminations", "Microsoft Office", "Live chat" ], "skillCount" : 24, "jobCategory" : "human-resources", "dataQualityScore" : 0.8888889, "_score" : 735.25507, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2c8b2074d8ee00a097209b", "title" : "Audio Technician", "company" : "elasticStage", "industry" : "Music", "location" : "Elstree, England, United Kingdom", "locations" : [ "Elstree, England, United Kingdom" ], "timestamp" : "2026-06-15T13:26:52.261", "fingerprint" : "30d660a1578d89c944c7ec6525815e3f00eb6f173c0a5f6b01d214a44dc02656", "source" : "workable", "applyUrl" : "https://apply.workable.com/j/4390ECA728/apply", "externalId" : "4390ECA728", "industryFunction" : { }, "locationPoint" : "51.6403,-0.29693", "structuredLocations" : [ { "city" : "Elstree", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Elstree, England, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 6, "experienceLevel" : "Mid", "technicalSkills" : "audio-over-IP, Ethernet-based media distribution", "professionalSkills" : [ "professional audio, live sound, touring, broadcast, systems integration, studio technician, analogue audio, digital audio, networked audio/video systems, audio-over-IP, Ethernet-based media distribution systems, electronics, electrical testing techniques." ], "hardSkillsList" : [ "practical hands-on experience working with professional audio equipment", "Experience installing, configuring, and commissioning analogue, digital, and networked audio/video systems", "Experience building, testing, repairing, and maintaining audio cables", "Understanding of audio fundamentals", "Basic knowledge of electronics", "Experience using audio test and measurement equipment", "Ability to follow written technical procedures", "organisational skills with experience managing equipment inventories or technical stock" ], "softSkillsList" : [ "work independently on routine tasks, seek support" ], "hardSkills" : [ { "name" : "practical hands-on experience working with professional audio equipment", "level" : "intermediate" }, { "name" : "Experience installing, configuring, and commissioning analogue, digital, and networked audio/video systems", "level" : "intermediate" }, { "name" : "Experience building, testing, repairing, and maintaining audio cables", "level" : "intermediate" }, { "name" : "Understanding of audio fundamentals", "level" : "intermediate" }, { "name" : "Basic knowledge of electronics", "level" : "intermediate" }, { "name" : "Experience using audio test and measurement equipment", "level" : "intermediate" }, { "name" : "Ability to follow written technical procedures", "level" : "intermediate" }, { "name" : "organisational skills with experience managing equipment inventories or technical stock", "level" : "intermediate" } ], "softSkills" : [ { "name" : "work independently on routine tasks, seek support" } ], "majorSkills" : "professional audio equipment, analogue, digital, and networked audio/video systems, audio-over-IP, audio fundamentals, equipment inventories", "majorSkillsList" : [ "professional audio equipment, analogue, digital, and networked audio/video systems, audio-over-IP, audio fundamentals, equipment inventories" ], "coreResponsibilities" : "Support the installation, commissioning, maintenance, and organisation of audio hardware and infrastructure. Prepare and deploy equipment, maintain inventory and documentation, perform testing and commissioning activities, and ensure systems remain operational. Provide practical technical support, assisting with equipment setup, fault finding, repairs, and system development. Contribute to the organisation and upkeep of workshop, hardware inventory, and test environments.", "teamCollaboration" : "Working closely with senior audio systems engineers, provide practical technical support across the wider installations team, assisting engineering and QA teams.", "toolProficiency" : [ "SoundCloud, Amuse" ], "documentationSkills" : "documentation; stock control; documented procedures; technical documentation", "problemSolvingSkills" : "troubleshoot; fault finding; repairs", "specialRequirements" : "This is not a creative music production or critical listening role. This is a 5-day-per-week on-site role working closely with teams at our production sites, primarily at Elstree but also potentially including other future locations as the company grows.", "outcomesObjectives" : "Ensure reliable and well-maintained audio systems are fundamental to the work we do. Ensure systems remain operational and ready for use. Contribute to the ongoing development of our audio systems.", "qualificationsBasic" : "Practical hands-on experience working with professional audio equipment in environments such as live sound, broadcast, touring, installation, or similar high-demand technical settings. Experience installing, configuring, and commissioning analogue, digital, and networked audio/video systems and associated infrastructure. Familiarity with modern AV networking technologies and protocols, including audio-over-IP and Ethernet-based media distribution systems. Experience building, testing, repairing, and maintaining audio cables and associated hardware. Understanding of audio fundamentals, including signal flow, voltage levels, gain structure, sound pressure levels, frequency response, and phase. Basic knowledge of electronics and electrical testing techniques. Experience using audio test and measurement equipment. Ability to follow written technical procedures and work instructions accurately. Organisational skills with experience managing equipment inventories or technical stock. Competent computer user with the ability to learn and use bespoke software tools, and able to work independently on routine tasks once trained while recognising when to seek support.", "qualificationsPreferred" : "Experience working alongside audio systems, studio, or product development engineers. Familiarity with audio amplifiers, loudspeaker systems, headphones, and related professional audio hardware. Experience using inventory management, asset tracking, or documentation systems. Experience supporting workshop, laboratory, QA, or manufacturing environments. Bachelor’s degree in Audio Engineering or relevant vocational training, technical certification, or professional experience in audio technology or electronics.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "### **Cutting Edge Music Tech - On-Demand Vinyl Records** We are seeking an **Audio Technician** to help us redefine the music industry. elasticStage is building the world’s first on-demand vinyl and CD platform, unlocking physical music for the Digital Creator era. By 2030, there will be over 250 million music creators globally, most locked out of physical formats due to high minimum runs and operational complexity. elasticStage solves this through patented on-demand vinyl and CD manufacturing technology, powering a free-to-use platform where creators can produce and sell physical releases worldwide with no upfront costs or minimum quantities. And we are scaling fast: * 100,000+ creators are using the product within our first year of commercialisation. * Aiming for 20X growth by 2027. * Partnerships with SoundCloud and Amuse (with more major partners to come!). * Shipped to over 90 countries. * 4.7★ on Trustpilot and Google. * Recently raised a new funding, bringing the total capital raised to £30M. * Just moved to new office in Kings Cross. Reliable and well-maintained audio systems are fundamental to the work we do at elasticStage. As an **Audio Technician** , you will support the installation, commissioning, maintenance, and organisation of audio hardware and infrastructure across our engineering facilities. Working closely with senior audio systems engineers, you will be responsible for preparing and deploying equipment, maintaining inventory and documentation, performing testing and commissioning activities, and ensuring systems remain operational and ready for use. In addition, you will provide practical technical support across the wider installations team, assisting with equipment setup, fault finding, repairs, and the ongoing development of our audio systems. You will contribute to the organisation and upkeep of our workshop, hardware inventory, and test environments while following established procedures and seeking guidance when required. This role is ideally suited to someone with strong hands-on experience in professional audio who enjoys working with equipment, systems, and technical processes. It would particularly suit candidates from live sound, touring, broadcast, systems integration or studio technician backgrounds who are looking to apply their practical expertise within a growing engineering environment. This is not a creative music production or critical listening role. ### **Responsibilities** * Maintain a well-organised inventory of audio hardware, cables, tools, and test equipment, ensuring accurate documentation and stock control. * Receive, inspect, prepare, install, and commission audio hardware and systems in accordance with documented procedures and engineering instructions. * Test, maintain, troubleshoot, and perform basic repairs on audio equipment, cables, amplifiers, headphones, and associated hardware. * Follow established commissioning, testing, and verification processes, escalating issues to senior engineers when required. * Provide ad-hoc practical support to engineering and QA teams, including equipment setup, maintenance, and general workshop activities. **Requirements** * Practical hands-on experience working with professional audio equipment in environments such as live sound, broadcast, touring, installation, or similar high-demand technical settings. * Experience installing, configuring, and commissioning analogue, digital, and networked audio/video systems and associated infrastructure. * Familiarity with modern AV networking technologies and protocols, including audio-over-IP and Ethernet-based media distribution systems. * Experience building, testing, repairing, and maintaining audio cables and associated hardware. * Understanding of audio fundamentals, including signal flow, voltage levels, gain structure, sound pressure levels, frequency response, and phase. * Basic knowledge of electronics and electrical testing techniques. * Experience using audio test and measurement equipment. * Ability to follow written technical procedures and work instructions accurately. * Strong organisational skills with experience managing equipment inventories or technical stock. * Competent computer user with the ability to learn and use bespoke software tools, and able to work independently on routine tasks once trained while recognising when to seek support. ### Nice to Haves * Experience working alongside audio systems, studio, or product development engineers. * Familiarity with audio amplifiers, loudspeaker systems, headphones, and related professional audio hardware. * Experience using inventory management, asset tracking, or documentation systems. * Experience supporting workshop, laboratory, QA, or manufacturing environments. * Bachelor’s degree in Audio Engineering or relevant vocational training, technical certification, or professional experience in audio technology or electronics. **Benefits** **What We Offer ** * **Industry-Leading Salary Package:** Enjoy a highly competitive salary package that rewards your expertise and hard work. * **Generous Paid Holiday:** Take advantage of 25 days of paid holiday to relax and recharge. * **Comprehensive Pension Scheme:** Secure your future with our robust pension scheme. * **Cutting-Edge Tech Office Environment:** Work in a modern, tech-driven office environment equipped with the latest tools and technology. * **Free Snacks and Beverages** : Enjoy free snacks and beverages to keep you energised throughout the day. * **Medical Insurance:** Protect yourself with our comprehensive medical insurance plan. **Work Location ** * This is a 5-day-per-week on-site role working closely with teams at our production sites, primarily at Elstree but also potentially including other future locations as the company grows.", "summaryDescription" : "Audio Technician at elasticStage. Skills: professional audio equipment, analogue, digital, and networked audio/video systems, audio-over-IP, audio fundamentals, equipment inventories. Support the installation, commissioning, maintenance, and organisation of audio hardware and infrastructure. Prepare and deploy equipment, maintain inventory and documentation, perform testing and commissioning activities, and ensure systems remain operational. Provide practical technical support, assisting with eq", "postedDate" : "2026-06-12T00:00:00.000", "createdAt" : "2026-06-14T20:54:10.749", "lastUpdated" : "2026-06-15T13:26:52.261", "ingestTimestamp" : "2026-06-14T20:54:10.749", "mongoId" : "6a2c8b2074d8ee00a097209b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://apply.workable.com/j/4390ECA728", "hasSalary" : false, "allSkills" : [ "practical hands-on experience working with professional audio equipment", "Experience installing, configuring, and commissioning analogue, digital, and networked audio/video systems", "Experience building, testing, repairing, and maintaining audio cables", "Understanding of audio fundamentals", "Basic knowledge of electronics", "Experience using audio test and measurement equipment", "Ability to follow written technical procedures", "organisational skills with experience managing equipment inventories or technical stock", "work independently on routine tasks, seek support", "professional audio equipment, analogue, digital, and networked audio/video systems, audio-over-IP, audio fundamentals, equipment inventories", "professional audio, live sound, touring, broadcast, systems integration, studio technician, analogue audio, digital audio, networked audio/video systems, audio-over-IP, Ethernet-based media distribution systems, electronics, electrical testing techniques.", "SoundCloud, Amuse" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 731.746, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cc26c74d8ee00a0a0657b", "title" : "Product Manager Intern - Alfie (Conversational AI)", "company" : "Pebl", "industry" : "Product & Design", "salary" : { "min" : 28.0, "max" : 40.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : " Palo Alto, CA ", "locations" : [ " Palo Alto, CA " ], "timestamp" : "2026-06-15T07:13:21.785", "fingerprint" : "440d6d361fd4a55c399943d328fd1ffa4f1580fa4fc3f8e250a5622f6ed02796", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/pebl/5ab039a5-2517-4ab5-be25-5987afb6d204/application", "externalId" : "5ab039a5-2517-4ab5-be25-5987afb6d204", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Palo Alto", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4443293,-122.1598465" } ], "locationText" : "Palo Alto, California, United States", "employmentType" : "INTERNSHIP", "technicalSkills" : "Conversational AI", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories" ], "hardSkillsList" : [ "Data analysis", "User research" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "User research", "level" : "intermediate" } ], "majorSkills" : "Product management, Conversational AI", "majorSkillsList" : [ "Product management", "Conversational AI" ], "coreResponsibilities" : "Analyze conversation data, Understand user engagement, Optimize AI behavior, Define use cases, Define success metrics, Define requirements, Contribute to discovery, Conduct user research, Map use cases, Define requirements for AI", "teamCollaboration" : "Cross-functional collaboration", "projectManagementSkills" : [ "Roadmap" ], "domainKnowledge" : "Conversational AI", "domainList" : [ "conversational-ai" ], "domainSpecificKnowledge" : [ "Conversational AI" ], "innovationCreativity" : "AI development", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "12 week internship", "remoteFriendly" : true, "rawDescription" : "Purpose in Every Position Pebl puts a world of talent at your fingertips. With our AI-powered Global Work Platform™, companies can hire, pay, and manage employees in 185+ countries—removing risk, red tape, and guesswork from global growth. Backed by more than a decade of compliance leadership and local expertise, Pebl helps businesses move fast, stay compliant, and scale with confidence. With Pebl, companies everywhere can hire great talent anywhere. Where Your Work Moves the Needle. At Pebl, every team member drives our success. Joining us means more than filling a role—you’re accountable for results and impact. Our values guide how we operate, execute, and collaborate across borders. By putting them into action, you’ll help us scale faster, compete harder, and lead the future of global work. What you'll work on Alfie is Pebl's proprietary conversational AI — built in-house and live across our product, our self-serve flow, and hellopebl.com. Alfie doesn't just answer questions; it takes action, surfaces insights, and guides users toward what they actually need. It's one of the most visible parts of our product and a direct factor in how we win enterprise deals. This summer, you'll work directly with the Principal PM leading Conversational AI on some of the most interesting open questions we have: how should Alfie behave in different contexts? What does a great AI conversation actually look like for our users? Where is Alfie falling short, and what would it take to close that gap? Your work will ship on a live product and feed strategic recommendations that go to executive leadership. In parallel, you'll contribute to Athena, Pebl's internal employee AI, on similar discovery and definition work. This is a 12 week internship. What you'll own The exact scope will be shaped by where the biggest opportunities are when you start, but expect a mix of: - Analyzing real Alfie conversation data to understand how users engage, where they drop off, and what they actually need - Optimizing how Alfie behaves in specific contexts — its persona, conversation flow, and how it guides users toward the right next action. - Researching how the best conversational AI products are built and what Pebl can learn from them - Defining use cases, success metrics, and requirements that engineering can build toward - Contributing to Athena discovery — user research, use case mapping, and requirements definition on our employee-facing AI What we're looking for You're curious about AI, comfortable with ambiguity, and know how to turn messy inputs into a clear point of view. You ask good questions before jumping to answers, and you write in a way that makes decisions easier, not harder. Specifically: - 1–3 years of product, strategy, or related experience (pre-MBA counts) - Exposure to B2B SaaS, AI products, or sales/marketing funnels is a plus - Strong written communication — your primary output is documents that drive decisions - Hands-on with AI tools — you build with them, not just use them Pebl is an Equal Opportunity Employer. We power global teams and believe diverse perspectives drive innovation and impact. Employment decisions at Pebl are based on qualifications, merit, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other status protected by applicable law. We’re committed to fostering an inclusive culture where every teammate can thrive and do the best work of their career—anywhere in the world.", "summaryDescription" : "Product Manager Intern - Alfie (Conversational AI) at Pebl. Skills: Product management, Conversational AI. Analyze conversation data. Understand user engagement", "createdAt" : "2026-06-14T04:47:13.040", "lastUpdated" : "2026-06-15T07:13:21.785", "ingestTimestamp" : "2026-06-14T04:47:13.040", "mongoId" : "6a2cc26c74d8ee00a0a0657b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 40, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data analysis", "User research", "Product management", "Conversational AI", "Product strategy", "Roadmap development", "User stories", "Roadmap" ], "skillCount" : 8, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 730.89795, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "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, "_score" : 726.3976, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.85 } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 52204, "totalPages" : 1045, "hasNext" : true, "hasPrevious" : false } }

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