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On a typical day, you will engage the model with religious or historical scenarios, analytical and interpretive questions, and cultural context tasks; evaluate accuracy and neutrality; verify logical consistency; capture reproducible error traces; and provide structured feedback to improve prompts, evaluation frameworks, and reasoning quality. You may also help identify where models oversimplify beliefs, misinterpret texts, or present inaccurate historical or cultural information. A degree in religious studies, theology, history, anthropology, or a related humanities field is preferred but not required. Entry-level candidates with coursework, independent study, teaching experience, or a strong personal or academic interest in religion and cultural studies are encouraged to apply. Clear, metacognitive communication—explicitly articulating reasoning and interpretive steps (“showing your work”)—is essential. 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Engagement Type: Freelance / Independent Contractor Workplace Type: Remote", "summaryDescription" : "Language Alignment & Resource Partner (Khmer) - Freelance AI Trainer Project at Meridial", "postedDate" : "2026-06-11T20:58:00.688", "createdAt" : "2026-06-11T20:58:00.688", "lastUpdated" : "2026-06-14T22:15:43.118", "ingestTimestamp" : "2026-06-11T20:58:00.688", "mongoId" : "6a2a67e874d8ee00a0631e9a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "other", "jobSubcategory" : "language-&-linguistics", "dataQualityScore" : 0.6666667, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2a67e874d8ee00a0631e9d", "title" : "Language Alignment & Resource Partner (Mandarin) - Freelance AI Trainer Project", "company" : "Meridial", "location" : "Worldwide - Remote", "locations" : [ "Worldwide - Remote" ], "timestamp" : "2026-06-13T10:01:26.669", "fingerprint" : "127ca9cf2339548a5f404430083fe8b53e2da1cedf82707846f0fb3fb9fcd31f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/agency/jobs/4889199101", "externalId" : "4889199101", "locationText" : "Worldwide - Remote", "employmentType" : "CONTRACT", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Project Overview We are sourcing independent Language Alignment company‑sponsored benefits such as health insurance and PTO do not apply. Engagement Type: Freelance / Independent Contractor Workplace Type: Remote", "summaryDescription" : "Language Alignment & Resource Partner (Mandarin) - Freelance AI Trainer Project at Meridial", "postedDate" : "2026-06-11T18:02:01.756", "createdAt" : "2026-06-11T18:02:01.756", "lastUpdated" : "2026-06-13T10:01:26.669", "ingestTimestamp" : "2026-06-11T18:02:01.756", "mongoId" : "6a2a67e874d8ee00a0631e9d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "other", "jobSubcategory" : "language-&-linguistics", "dataQualityScore" : 0.6666667, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a306073f292fd229cf8dc8f", "title" : "Politics & Government Specialist – Freelance AI Trainer Project", "company" : "Meridial", "industry" : "Government", "salary" : { "min" : 6.0, "max" : 65.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Worldwide - Remote", "locations" : [ "Worldwide - Remote" ], "timestamp" : "2026-06-16T08:53:30.339", "fingerprint" : "bac292e96f19f3da172d9255140c91057200e4a99f87a90244df703ebd718190", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/agency/jobs/4784878101", "externalId" : "4784878101", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry Level", "hardSkillsList" : [ "Policy analysis", "Legislative interpretation", "Civic education", "Political knowledge", "Governance understanding", "Factual accuracy verification", "Logical consistency assessment", "Bias assessment", "Error capture", "Structured feedback provision", "Prompt improvement", "Evaluation standard improvement", "Analytical depth improvement", "Oversimplification identification" ], "softSkillsList" : [ "Metacognitive communication" ], "hardSkills" : [ { "name" : "Policy analysis", "level" : "intermediate" }, { "name" : "Legislative interpretation", "level" : "intermediate" }, { "name" : "Civic education", "level" : "intermediate" }, { "name" : "Political knowledge", "level" : "intermediate" }, { "name" : "Governance understanding", "level" : "intermediate" }, { "name" : "Factual accuracy verification", "level" : "intermediate" }, { "name" : "Logical consistency assessment", "level" : "intermediate" }, { "name" : "Bias assessment", "level" : "intermediate" }, { "name" : "Error capture", "level" : "intermediate" }, { "name" : "Structured feedback provision", "level" : "intermediate" }, { "name" : "Prompt improvement", "level" : "intermediate" }, { "name" : "Evaluation standard improvement", "level" : "intermediate" }, { "name" : "Analytical depth improvement", "level" : "intermediate" }, { "name" : "Oversimplification identification", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Metacognitive communication" } ], "majorSkills" : "Politics expertise, Government expertise, AI training", "majorSkillsList" : [ "Politics expertise", "Government expertise", "AI training" ], "coreResponsibilities" : "Engage model with policy scenarios, Engage model with governance questions, Engage model with political analysis, Verify factual accuracy, Verify institutional accuracy, Assess logical consistency, Assess bias, Capture reproducible error, Provide structured feedback, Identify model oversimplification, Identify procedural rule misinterpretation", "domainKnowledge" : "Constitutional frameworks; Policy trade-offs; Electoral systems; Legislative procedure; Political theory; Comparative government; Public budgeting; Ethics in governance; Policymaking realities", "domainList" : [ "constitutional-frameworks", "policy-trade-offs", "electoral-systems", "legislative-procedure", "political-theory", "comparative-government", "public-budgeting", "ethics-in-governance", "policymaking-realities" ], "domainSpecificKnowledge" : [ "Constitutional frameworks", "Policy trade-offs", "Electoral systems", "Legislative procedure", "Political theory", "Comparative government", "Public budgeting", "Ethics in governance", "Policymaking realities" ], "communicationSkills" : "Articulating reasoning; Articulating decision processes", "documentationSkills" : "Documenting failure modes", "problemSolvingSkills" : "Model reasoning improvement; Model neutrality improvement", "specialRequirements" : "Supply secure computer", "outcomesObjectives" : "Strengthen model reasoning; Strengthen model neutrality; Democratize access to political knowledge; Strengthen public understanding of governance; Support informed decision-making", "qualificationsBasic" : "Degree in political science, Degree in public policy, Degree in public administration, Degree in international relations, Experience in government offices, Experience in legislative bodies, Experience in advocacy organizations, Experience in regulatory agencies, Experience in campaigns, Experience in civic institutions", "qualificationsPreferred" : "Related field degree preferred, Clear communication, Articulating reasoning, Articulating decision processes", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Are you a politics expert or government professional eager to shape the future of AI? Large-scale language models are evolving from simple conversational tools into systems capable of analyzing policy, interpreting legislation, and supporting civic education. With high-quality training data, tomorrow’s AI can help democratize access to political knowledge, strengthen public understanding of governance, and support informed decision-making. That training data begins with you—we need your expertise to help power the next generation of AI. We’re looking for political science specialists and professionals with real-world experience in local, state, national, or international government. This includes backgrounds in public policy, legislative affairs, public administration, political campaigns, regulatory analysis, international relations, and civic institutions. You’ll challenge advanced language models on topics such as constitutional frameworks, policy trade-offs, electoral systems, legislative procedure, political theory, comparative government, public budgeting, ethics in governance, and the practical realities of policymaking—documenting failure modes so we can strengthen model reasoning and neutrality. On a typical day, you will engage the model with policy scenarios, governance questions, and political analysis tasks; verify factual accuracy and institutional correctness; assess logical consistency and bias risks; capture reproducible error traces; and provide structured feedback to improve prompts, evaluation standards, and analytical depth. You may also help identify where models oversimplify political processes or misinterpret procedural rules. A degree in political science, public policy, public administration, international relations, or a related field is preferred. Experience working in government offices, legislative bodies, advocacy organizations, regulatory agencies, campaigns, or civic institutions is highly valued. Clear, metacognitive communication—explicitly articulating reasoning and decision processes (“showing your work”)—is essential, particularly when analyzing complex or sensitive topics. Ready to turn your political expertise into the knowledge foundation for tomorrow’s AI? Apply today and help train systems that support civic understanding and responsible public discourse. We offer a pay range of $6 to $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply. Job title: Politics & Government Specialist – Freelance AI Trainer Project Employment type: Freelance / Contract Workplace type: Remote Seniority level: Entry Level", "summaryDescription" : "Politics & Government Specialist – Freelance AI Trainer Project at Meridial. Skills: Politics expertise, Government expertise, AI training. Engage model with policy scenarios. Engage model with governance questions", "postedDate" : "2026-06-15T23:28:08.129", "createdAt" : "2026-06-15T23:28:08.129", "lastUpdated" : "2026-06-16T08:53:30.339", "ingestTimestamp" : "2026-06-15T23:28:08.129", "mongoId" : "6a306073f292fd229cf8dc8f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12480, "salaryAnnualMax" : 135200, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Policy analysis", "Legislative interpretation", "Civic education", "Political knowledge", "Governance understanding", "Factual accuracy verification", "Logical consistency assessment", "Bias assessment", "Error capture", "Structured feedback provision", "Prompt improvement", "Evaluation standard improvement", "Analytical depth improvement", "Oversimplification identification", "Metacognitive communication", "Politics expertise", "Government expertise", "AI training", "Constitutional frameworks", "Policy trade-offs", "Electoral systems", "Legislative procedure", "Political theory", "Comparative government", "Public budgeting", "Ethics in governance", "Policymaking realities" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "6a306072f292fd229cf8dbbe", "title" : "Financial Institutions Specialist – Freelance AI Trainer Project", "company" : "Meridial", "industry" : "FinTech", "salary" : { "min" : 6.0, "max" : 65.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Worldwide - Remote", "locations" : [ "Worldwide - Remote" ], "timestamp" : "2026-06-16T08:00:39.223", "fingerprint" : "d55d73b7dfee6991289c34285894d72b97b7cef72bcf97224fe36690e6c64c96", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/agency/jobs/4784903101", "externalId" : "4784903101", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry Level", "technicalSkills" : "AI, Large language models", "professionalSkills" : [ "Financial analysis", "Risk assessment", "Regulatory compliance" ], "hardSkillsList" : [ "Balance sheet analysis", "Credit risk assessment", "Liquidity management", "Capital adequacy", "Anti-money laundering", "Financial reporting", "Macroeconomic policy" ], "softSkillsList" : [ "Metacognitive communication" ], "hardSkills" : [ { "name" : "Balance sheet analysis", "level" : "intermediate" }, { "name" : "Credit risk assessment", "level" : "intermediate" }, { "name" : "Liquidity management", "level" : "intermediate" }, { "name" : "Capital adequacy", "level" : "intermediate" }, { "name" : "Anti-money laundering", "level" : "intermediate" }, { "name" : "Financial reporting", "level" : "intermediate" }, { "name" : "Macroeconomic policy", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Metacognitive communication" } ], "majorSkills" : "Financial institutions, AI training, Regulatory analysis", "majorSkillsList" : [ "Financial institutions", "AI training", "Regulatory analysis" ], "coreResponsibilities" : "Engage model with financial institution scenarios, Engage model with regulatory and compliance questions, Verify factual correctness, Assess risk-related capture, Document failure modes, Provide structured feedback, Improve prompts, Improve evaluation frameworks, Improve analytical depth, Identify model oversimplification of regulations, Identify model misinterpretation of processes", "domainKnowledge" : "Banking systems; Financial regulation; Capital markets; Retail banking; Commercial banking; Central banking; Compliance; Risk management; Lending practices; Financial products; Institutional governance; Balance sheet analysis; Regulatory compliance; Credit risk assessment; Liquidity management; Capital adequacy; Anti-money laundering; Financial reporting standards; Macroeconomic policy", "domainList" : [ "banking-systems", "financial-regulation", "capital-markets", "retail-banking", "commercial-banking", "central-banking", "compliance", "risk-management", "lending-practices", "financial-products", "institutional-governance", "balance-sheet-analysis", "regulatory-compliance", "credit-risk-assessment", "liquidity-management", "capital-adequacy", "anti-money-laundering", "financial-reporting-standards", "macroeconomic-policy" ], "domainSpecificKnowledge" : [ "Banking systems", "Financial regulation", "Capital markets", "Retail banking", "Commercial banking", "Central banking", "Compliance", "Risk management", "Lending practices", "Financial products", "Institutional governance", "Balance sheet analysis", "Regulatory compliance", "Credit risk assessment", "Liquidity management", "Capital adequacy", "Anti-money laundering", "Financial reporting standards", "Macroeconomic policy" ], "communicationSkills" : "Articulating reasoning; Articulating decision processes", "documentationSkills" : "Documenting failure modes", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "Foundational knowledge of financial systems, Analytical skills", "qualificationsPreferred" : "Background in finance, Background in economics, Background in accounting, Background in business administration, Experience working in banks, Experience working in credit unions, Experience working in regulatory bodies, Experience working in financial consultancies", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Are you experienced in financial institutions and eager to shape the future of AI? Large-scale language models are evolving from simple conversational tools into systems capable of analyzing financial frameworks, interpreting regulatory structures, and supporting complex institutional decision-making. With high-quality training data, tomorrow’s AI can help strengthen financial literacy, improve risk analysis, and support professionals across banking and financial services. That training data begins with you—we need your expertise to help power the next generation of AI. We’re looking for individuals with knowledge of banking systems, financial regulation, capital markets, retail and commercial banking, central banking, compliance, risk management, lending practices, financial products, and institutional governance. You’ll challenge advanced language models on topics such as balance sheet analysis, regulatory compliance frameworks, credit risk assessment, liquidity management, capital adequacy, anti-money laundering controls, financial reporting standards, and macroeconomic policy impacts—documenting failure modes so we can strengthen model reasoning and accuracy. On a typical day, you will engage the model with financial institution scenarios, regulatory and compliance questions, and analytical exercises; verify factual correctness and institutional logic; assess risk-related reasoning; capture reproducible error traces; and provide structured feedback to improve prompts, evaluation frameworks, and analytical depth. You may also help identify where models oversimplify financial regulations or misinterpret institutional processes. A background in finance, economics, accounting, business administration, or a related field is preferred but not required. Experience working in banks, credit unions, regulatory bodies, financial consultancies, or related institutions is highly valued. Entry-level candidates with foundational knowledge of financial systems and strong analytical skills are encouraged to apply. Clear, metacognitive communication—explicitly articulating reasoning and decision processes (“showing your work”)—is essential. Ready to turn your financial institutions expertise into the knowledge foundation for tomorrow’s AI? Apply today and help train systems that support finance professionals and institutions worldwide. We offer a pay range of $6 to $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply. Job title: Financial Institutions Specialist – Freelance AI Trainer Project Employment type: Freelance / Contract Workplace type: Remote Seniority level: Entry Level", "summaryDescription" : "Financial Institutions Specialist – Freelance AI Trainer Project at Meridial. Skills: Financial institutions, AI training, Regulatory analysis. Engage model with financial institution scenarios. Engage model with regulatory and compliance questions", "postedDate" : "2026-06-15T23:22:56.627", "createdAt" : "2026-06-15T23:22:56.627", "lastUpdated" : "2026-06-16T08:00:39.223", "ingestTimestamp" : "2026-06-15T23:22:56.627", "mongoId" : "6a306072f292fd229cf8dbbe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12480, "salaryAnnualMax" : 135200, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Balance sheet analysis", "Credit risk assessment", "Liquidity management", "Capital adequacy", "Anti-money laundering", "Financial reporting", "Macroeconomic policy", "Metacognitive communication", "Financial institutions", "AI training", "Regulatory analysis", "Financial analysis", "Risk assessment", "Regulatory compliance", "Banking systems", "Financial regulation", "Capital markets", "Retail banking", "Commercial banking", "Central banking", "Compliance", "Risk management", "Lending practices", "Financial products", "Institutional governance", "Financial reporting standards" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.92 }, { "id" : "6a306072f292fd229cf8dba4", "title" : "Detective & Police Officers - Freelance AI Trainer Project", "company" : "Meridial", "salary" : { "min" : 6.0, "max" : 65.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Worldwide - Remote", "locations" : [ "Worldwide - Remote" ], "timestamp" : "2026-06-16T08:54:13.802", "fingerprint" : "53e992eeec787434675cc08832ccd2cecf00ea1734c70f77fdfc7c44ba6ec312", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/agency/jobs/4757128101", "externalId" : "4757128101", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "professionalSkills" : [ "Investigative analysis", "Decision-making support", "Training data creation", "Model evaluation", "Scenario review", "Procedural correctness assessment", "Terminology validation", "Workflow validation", "Edge case clarification", "Misconception clarification" ], "hardSkillsList" : [ "Report writing", "Case management" ], "hardSkills" : [ { "name" : "Report writing", "level" : "intermediate" }, { "name" : "Case management", "level" : "intermediate" } ], "majorSkills" : "Law enforcement, AI training, Data evaluation", "majorSkillsList" : [ "Law enforcement", "AI training", "Data evaluation" ], "coreResponsibilities" : "Interact with AI models, Review model responses, Evaluate model responses, Identify inaccuracies, Identify reasoning gaps, Identify unrealistic assumptions, Document model failures, Review AI-generated scenarios, Assess realism of investigative steps, Assess procedural correctness of investigative steps, Validate terminology, Validate workflows, Provide written feedback, Clarify edge cases, Clarify common misconceptions, Clarify policy application, Clarify law application, Clarify real-world application", "domainKnowledge" : "Public safety AI; Investigative analysis AI; Criminal investigations; Patrol operations; Report writing; Evidence handling; Interviewing techniques; Use-of-force considerations; Procedural justice; Ethical decision-making; Law enforcement practices; Law enforcement terminology; Law enforcement workflows; Law enforcement policy; Law enforcement law", "domainList" : [ "public-safety-ai", "investigative-analysis-ai", "criminal-investigations", "patrol-operations", "report-writing", "evidence-handling", "interviewing-techniques", "use-of-force-considerations", "procedural-justice", "ethical-decision-making", "law-enforcement-practices", "law-enforcement-terminology", "law-enforcement-workflows", "law-enforcement-policy", "law-enforcement-law" ], "domainSpecificKnowledge" : [ "Public safety AI", "Investigative analysis AI", "Criminal investigations", "Patrol operations", "Report writing", "Evidence handling", "Interviewing techniques", "Use-of-force considerations", "Procedural justice", "Ethical decision-making", "Law enforcement practices", "Law enforcement terminology", "Law enforcement workflows", "Law enforcement policy", "Law enforcement law" ], "communicationSkills" : "Written communication; Plain language explanation", "documentationSkills" : "Written feedback", "problemSolvingSkills" : "Identify inaccuracies; Identify gaps in reasoning; Identify unrealistic assumptions; Document where models fail", "qualificationsBasic" : "Law enforcement experience, Detective or police officer experience, Patrol officer experience, Investigator experience, Specialized unit member experience, Report writing experience, Case management systems experience, Courtroom preparation experience, Interagency coordination experience, Clear written communication, Ability to explain decision-making, Ability to explain reasoning in plain language, Secure computer, High-speed internet", "qualificationsPreferred" : "AI background preferred, Technical background preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Are you a current or former law enforcement professional interested in helping shape the future of AI? Large-scale AI systems are increasingly used to support public safety, investigative analysis, and decision-making. High-quality training data grounded in real-world policing experience is essential to ensure these systems are accurate, responsible, and aligned with real operational needs. This project relies on your professional insight to help train and evaluate next-generation AI models. In this project, you will apply your experience as a detective or police officer to interact with AI models on law enforcement–related scenarios. This includes reviewing and evaluating model responses involving criminal investigations, patrol operations, report writing, evidence handling, interviewing techniques, use-of-force considerations, procedural justice, and ethical decision-making. You will identify inaccuracies, gaps in reasoning, or unrealistic assumptions and document where models fail to reflect real-world law enforcement practices. On a typical day, you may review AI-generated case scenarios, assess the realism and procedural correctness of investigative steps, validate terminology and workflows, and provide written feedback explaining what is correct, what is incorrect, and why. You may also help clarify edge cases, common misconceptions about policing, and differences between policy, law, and real-world application. This project is well suited for individuals with professional experience in law enforcement, including patrol officers, detectives, investigators, or members of specialized units. Experience with report writing, case management systems, courtroom preparation, or interagency coordination is highly valuable. Clear written communication and the ability to explain decision-making and reasoning in plain language are essential. No prior AI or technical background is required. Training and guidelines will be provided. What matters most is your real-world law enforcement experience, attention to detail, and willingness to thoughtfully engage with AI systems. We offer a pay range of $6 to $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor, you will supply a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply. Job title: Detective & Police Officer – Freelance AI Trainer Project Employment type: Freelance / Contract Workplace type: Remote", "summaryDescription" : "Detective & Police Officers - Freelance AI Trainer Project at Meridial. Skills: Law enforcement, AI training, Data evaluation. Interact with AI models. Review model responses", "postedDate" : "2026-06-15T23:26:31.494", "createdAt" : "2026-06-15T23:26:31.494", "lastUpdated" : "2026-06-16T08:54:13.802", "ingestTimestamp" : "2026-06-15T23:26:31.494", "mongoId" : "6a306072f292fd229cf8dba4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12480, "salaryAnnualMax" : 135200, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Report writing", "Case management", "Law enforcement", "AI training", "Data evaluation", "Investigative analysis", "Decision-making support", "Training data creation", "Model evaluation", "Scenario review", "Procedural correctness assessment", "Terminology validation", "Workflow validation", "Edge case clarification", "Misconception clarification", "Public safety AI", "Investigative analysis AI", "Criminal investigations", "Patrol operations", "Evidence handling", "Interviewing techniques", "Use-of-force considerations", "Procedural justice", "Ethical decision-making", "Law enforcement practices", "Law enforcement terminology", "Law enforcement workflows", "Law enforcement policy", "Law enforcement law" ], "skillCount" : 29, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.85 }, { "id" : "6a306072f292fd229cf8db38", "title" : "Business and Management Specialist – Freelance AI Trainer Project", "company" : "Meridial", "salary" : { "min" : 6.0, "max" : 65.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Worldwide - Remote", "locations" : [ "Worldwide - Remote" ], "timestamp" : "2026-06-16T09:01:08.901", "fingerprint" : "f5f903b5e953d92fb3b19c6f7bb17b95aec6967f7684886427ff8ed4025c4c98", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/agency/jobs/4784908101", "externalId" : "4784908101", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry Level", "professionalSkills" : [ "Business operations", "Management principles", "Organizational behavior", "Project management", "Marketing", "Entrepreneurship", "Supply chain fundamentals", "Strategic planning", "Business case analysis", "Decision-making frameworks", "Market positioning", "Operational efficiency", "Management scenarios" ], "majorSkills" : "Business analysis, AI training, Feedback provision", "majorSkillsList" : [ "Business analysis", "AI training", "Feedback provision" ], "coreResponsibilities" : "Engage the model with business scenarios, Engage the model with analytical questions, Engage the model with situational questions, Engage the model with strategy-based questions, Evaluate logical consistency, Evaluate real-world capture, Document reproducible error, Provide structured feedback, Improve prompts, Improve evaluation frameworks, Improve reasoning quality, Identify model oversimplification, Identify model misunderstandings", "domainKnowledge" : "Business strategy; Operational workflows; Organizational decision-making; Business education; Business planning; Business analysis", "domainList" : [ "business-strategy", "operational-workflows", "organizational-decision-making", "business-education", "business-planning", "business-analysis" ], "domainSpecificKnowledge" : [ "Business strategy", "Operational workflows", "Organizational decision-making", "Business education", "Business planning", "Business analysis" ], "communicationSkills" : "Metacognitive communication", "specialRequirements" : "Supply a secure computer", "qualificationsBasic" : "Foundational knowledge, Problem-solving skills", "qualificationsPreferred" : "Background in business administration, Background in management, Background in economics, Background in entrepreneurship, Related field background, Experience in business operations, Experience in startups, Experience in corporate environments, Experience in consulting, Experience in project coordination", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Are you interested in business and management and eager to shape the future of AI? Large-scale language models are evolving from simple conversational tools into systems capable of analyzing business strategy, operational workflows, and organizational decision-making. With high-quality training data, tomorrow’s AI can help improve business education, support planning and analysis, and assist professionals across industries. That training data begins with you—we need your expertise to help power the next generation of AI. We’re looking for individuals with familiarity in areas such as business operations, management principles, organizational behavior, project management, marketing, entrepreneurship, supply chain fundamentals, and strategic planning. You’ll challenge advanced language models on topics such as business case analysis, decision-making frameworks, market positioning, operational efficiency, and management scenarios—documenting failure modes so we can strengthen model reasoning and practical understanding. On a typical day, you will engage the model with business scenarios, analytical and situational questions, and strategy-based exercises; evaluate logical consistency and real-world applicability; capture reproducible error traces; and provide structured feedback to improve prompts, evaluation frameworks, and reasoning quality. You may also help identify where models oversimplify business processes or misunderstand how organizations operate in practice. A background in business administration, management, economics, entrepreneurship, or a related field is preferred but not required. Experience in business operations, startups, corporate environments, consulting, or project coordination is valuable, and entry-level candidates with foundational knowledge and strong problem-solving skills are encouraged to apply. Clear, metacognitive communication—explicitly articulating reasoning and decision processes (“showing your work”)—is essential. Ready to turn your business and management knowledge into the knowledge foundation for tomorrow’s AI? Apply today and help train systems that support professionals and organizations worldwide. We offer a pay range of $6 to $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply. Job title: Business and Management Specialist – Freelance AI Trainer Project Employment type: Freelance / Contract Workplace type: Remote Seniority level: Entry Level", "summaryDescription" : "Business and Management Specialist – Freelance AI Trainer Project at Meridial. Skills: Business analysis, AI training, Feedback provision. Engage the model with business scenarios. Engage the model with analytical questions", "postedDate" : "2026-06-15T23:21:19.290", "createdAt" : "2026-06-15T23:21:19.290", "lastUpdated" : "2026-06-16T09:01:08.901", "ingestTimestamp" : "2026-06-15T23:21:19.290", "mongoId" : "6a306072f292fd229cf8db38", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12480, "salaryAnnualMax" : 135200, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Business analysis", "AI training", "Feedback provision", "Business operations", "Management principles", "Organizational behavior", "Project management", "Marketing", "Entrepreneurship", "Supply chain fundamentals", "Strategic planning", "Business case analysis", "Decision-making frameworks", "Market positioning", "Operational efficiency", "Management scenarios", "Business strategy", "Operational workflows", "Organizational decision-making", "Business education", "Business planning" ], "skillCount" : 21, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.85 }, { "id" : "6a306072f292fd229cf8dbce", "title" : "Garment Manufacturing QC Specialist - Freelance AI Trainer Project", "company" : "Meridial", "industry" : "Manufacturing", "salary" : { "min" : 6.0, "max" : 15.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Worldwide - Remote", "locations" : [ "Worldwide - Remote" ], "timestamp" : "2026-06-16T08:24:01.521", "fingerprint" : "37c3f09b4227fb0b071c81787d1e572d6f5717e8d7e17bffd597ca4609fa6880", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/agency/jobs/4754194101", "externalId" : "4754194101", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "professionalSkills" : [ "Quality control", "Production analysis" ], "hardSkillsList" : [ "Garment inspection", "Defect identification", "Measurement tolerances", "Stitching quality", "Material consistency", "Finishing standards", "Production compliance" ], "hardSkills" : [ { "name" : "Garment inspection", "level" : "intermediate" }, { "name" : "Defect identification", "level" : "intermediate" }, { "name" : "Measurement tolerances", "level" : "intermediate" }, { "name" : "Stitching quality", "level" : "intermediate" }, { "name" : "Material consistency", "level" : "intermediate" }, { "name" : "Finishing standards", "level" : "intermediate" }, { "name" : "Production compliance", "level" : "intermediate" } ], "majorSkills" : "Garment manufacturing QC, AI training data", "majorSkillsList" : [ "Garment manufacturing QC", "AI training data" ], "coreResponsibilities" : "Review garment quality inspection scenarios, Discuss garment quality inspection scenarios, Verify model reasoning alignment, Evaluate defect classification, Evaluate severity assessment, Analyze inspection workflows, Capture recurring model errors, Suggest improvements to training prompts, Suggest improvements to evaluation criteria", "domainKnowledge" : "Garment production; Manufacturing workflows; Quality decision-making", "domainList" : [ "garment-production", "manufacturing-workflows", "quality-decision-making" ], "domainSpecificKnowledge" : [ "Garment production", "Manufacturing workflows", "Quality decision-making" ], "communicationSkills" : "Explain quality judgments; Explain production realities", "specialRequirements" : "Supply secure computer", "qualificationsBasic" : "Hands-on experience inspecting garments, Experience evaluating quality standards, Experience with inspection processes, Experience with factory workflows", "qualificationsPreferred" : "General experience in garment manufacturing, Familiarity with sewing outputs, Familiarity with production lines, Familiarity with inspection checkpoints, Advanced technical practical factory-floor experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Are you experienced in garment manufacturing quality control and interested in helping train the next generation of AI systems? As AI models are increasingly applied to global manufacturing, supply chain monitoring, and production analysis, their ability to reason about quality standards, inspection processes, and factory workflows depends on accurate, real-world training data. That training data begins with practitioners who understand how garments are actually produced and evaluated. We’re looking for Garment Manufacturing QC Specialists with hands-on experience inspecting garments and finished goods in factory or production environments. You’ll challenge AI models on real-world quality control scenarios involving defect identification, measurement tolerances, stitching quality, material consistency, finishing standards, and production compliance. This project focuses on evaluating how well models understand manufacturing workflows, common failure points, and quality decision-making at scale. On a typical day, you will review and discuss garment quality inspection scenarios with the model, verify whether model reasoning aligns with real factory QC practices, evaluate defect classification and severity assessment, analyze inspection workflows across production stages, capture recurring model errors, and suggest improvements to training prompts and evaluation criteria. General experience in garment manufacturing environments is ideal, including familiarity with sewing outputs, production lines, and inspection checkpoints. This project does not require advanced technical education; practical factory-floor experience in quality checking or garment inspection is strongly valued. Clear communication and the ability to explain quality judgments and production realities are essential. Ready to turn your garment manufacturing QC expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will help improve manufacturing quality worldwide. We offer a pay range of $6-to-$15 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply. Project Title: Garment Manufacturing QC Specialist – Freelance AI Trainer Project Employment type: Freelance / Contract Workplace type: Remote", "summaryDescription" : "Garment Manufacturing QC Specialist - Freelance AI Trainer Project at Meridial. Skills: Garment manufacturing QC, AI training data. Review garment quality inspection scenarios. Discuss garment quality inspection scenarios", "postedDate" : "2026-06-15T23:29:04.059", "createdAt" : "2026-06-15T23:29:04.059", "lastUpdated" : "2026-06-16T08:24:01.521", "ingestTimestamp" : "2026-06-15T23:29:04.059", "mongoId" : "6a306072f292fd229cf8dbce", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12480, "salaryAnnualMax" : 31200, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Garment inspection", "Defect identification", "Measurement tolerances", "Stitching quality", "Material consistency", "Finishing standards", "Production compliance", "Garment manufacturing QC", "AI training data", "Quality control", "Production analysis", "Garment production", "Manufacturing workflows", "Quality decision-making" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.85 }, { "id" : "6a306072f292fd229cf8dbca", "title" : "Garment Manufacturing QC Specialist - Freelance AI Trainer Project", "company" : "Meridial", "industry" : "Manufacturing", "salary" : { "min" : 6.0, "max" : 15.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Worldwide - Remote", "locations" : [ "Worldwide - Remote" ], "timestamp" : "2026-06-16T07:51:21.095", "fingerprint" : "28900cada5493cfc4d62a919ffd36cb050dea0f18b3edb60c09c9b6103f88878", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/agency/jobs/4754191101", "externalId" : "4754191101", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "professionalSkills" : [ "Quality control", "Production analysis" ], "hardSkillsList" : [ "Garment inspection", "Defect identification", "Measurement tolerances", "Stitching quality", "Material consistency", "Finishing standards", "Production compliance" ], "softSkillsList" : [ "Clear communication" ], "hardSkills" : [ { "name" : "Garment inspection", "level" : "intermediate" }, { "name" : "Defect identification", "level" : "intermediate" }, { "name" : "Measurement tolerances", "level" : "intermediate" }, { "name" : "Stitching quality", "level" : "intermediate" }, { "name" : "Material consistency", "level" : "intermediate" }, { "name" : "Finishing standards", "level" : "intermediate" }, { "name" : "Production compliance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Clear communication" } ], "majorSkills" : "Garment manufacturing QC, AI training data", "majorSkillsList" : [ "Garment manufacturing QC", "AI training data" ], "coreResponsibilities" : "Review garment quality inspection scenarios, Discuss garment quality inspection scenarios, Verify model reasoning alignment, Evaluate defect classification, Evaluate severity assessment, Analyze inspection workflows, Capture recurring model errors, Suggest improvements to training prompts, Suggest improvements to evaluation criteria", "domainKnowledge" : "Garment manufacturing; Sewing outputs; Production lines; Inspection checkpoints", "domainList" : [ "garment-manufacturing", "sewing-outputs", "production-lines", "inspection-checkpoints" ], "domainSpecificKnowledge" : [ "Garment manufacturing", "Sewing outputs", "Production lines", "Inspection checkpoints" ], "communicationSkills" : "Explain quality judgments; Explain production realities", "specialRequirements" : "Supply secure computer", "qualificationsBasic" : "Hands-on experience inspecting garments, Experience evaluating quality standards, Experience with inspection processes, Experience with factory workflows", "qualificationsPreferred" : "Advanced technical practical factory-floor experience, Advanced quality checking experience, Advanced garment inspection experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Are you experienced in garment manufacturing quality control and interested in helping train the next generation of AI systems? As AI models are increasingly applied to global manufacturing, supply chain monitoring, and production analysis, their ability to reason about quality standards, inspection processes, and factory workflows depends on accurate, real-world training data. That training data begins with practitioners who understand how garments are actually produced and evaluated. We’re looking for Garment Manufacturing QC Specialists with hands-on experience inspecting garments and finished goods in factory or production environments. You’ll challenge AI models on real-world quality control scenarios involving defect identification, measurement tolerances, stitching quality, material consistency, finishing standards, and production compliance. This project focuses on evaluating how well models understand manufacturing workflows, common failure points, and quality decision-making at scale. On a typical day, you will review and discuss garment quality inspection scenarios with the model, verify whether model reasoning aligns with real factory QC practices, evaluate defect classification and severity assessment, analyze inspection workflows across production stages, capture recurring model errors, and suggest improvements to training prompts and evaluation criteria. General experience in garment manufacturing environments is ideal, including familiarity with sewing outputs, production lines, and inspection checkpoints. This project does not require advanced technical education; practical factory-floor experience in quality checking or garment inspection is strongly valued. Clear communication and the ability to explain quality judgments and production realities are essential. Ready to turn your garment manufacturing QC expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will help improve manufacturing quality worldwide. We offer a pay range of $6-to-$15 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply. Project Title: Garment Manufacturing QC Specialist – Freelance AI Trainer Project Employment type: Freelance / Contract Workplace type: Remote", "summaryDescription" : "Garment Manufacturing QC Specialist - Freelance AI Trainer Project at Meridial. Skills: Garment manufacturing QC, AI training data. Review garment quality inspection scenarios. Discuss garment quality inspection scenarios", "postedDate" : "2026-06-15T23:28:00.415", "createdAt" : "2026-06-15T23:28:00.415", "lastUpdated" : "2026-06-16T07:51:21.095", "ingestTimestamp" : "2026-06-15T23:28:00.415", "mongoId" : "6a306072f292fd229cf8dbca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12480, "salaryAnnualMax" : 31200, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Garment inspection", "Defect identification", "Measurement tolerances", "Stitching quality", "Material consistency", "Finishing standards", "Production compliance", "Clear communication", "Garment manufacturing QC", "AI training data", "Quality control", "Production analysis", "Garment manufacturing", "Sewing outputs", "Production lines", "Inspection checkpoints" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.85 }, { "id" : "6a306072f292fd229cf8dbcc", "title" : "Garment Manufacturing QC Specialist - Freelance AI Trainer Project", "company" : "Meridial", "industry" : "Manufacturing", "salary" : { "min" : 6.0, "max" : 15.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Worldwide - Remote", "locations" : [ "Worldwide - Remote" ], "timestamp" : "2026-06-16T07:21:52.312", "fingerprint" : "71aa6c37df90469bc32c9b19df4ef2a3d7de2495afec35f8d14fa834c268ca16", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/agency/jobs/4754192101", "externalId" : "4754192101", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "professionalSkills" : [ "Quality control", "Production analysis" ], "hardSkillsList" : [ "Garment inspection", "Defect identification", "Measurement tolerances", "Stitching quality", "Material consistency", "Finishing standards", "Production compliance" ], "hardSkills" : [ { "name" : "Garment inspection", "level" : "intermediate" }, { "name" : "Defect identification", "level" : "intermediate" }, { "name" : "Measurement tolerances", "level" : "intermediate" }, { "name" : "Stitching quality", "level" : "intermediate" }, { "name" : "Material consistency", "level" : "intermediate" }, { "name" : "Finishing standards", "level" : "intermediate" }, { "name" : "Production compliance", "level" : "intermediate" } ], "majorSkills" : "Garment manufacturing, Quality control, AI training", "majorSkillsList" : [ "Garment manufacturing", "Quality control", "AI training" ], "coreResponsibilities" : "Review garment quality inspection scenarios, Discuss garment quality inspection scenarios, Verify model reasoning alignment, Evaluate defect classification, Evaluate severity assessment, Analyze inspection workflows, Capture recurring model errors, Suggest improvements to training prompts, Suggest improvements to evaluation criteria", "domainKnowledge" : "Garment manufacturing workflows; Manufacturing quality standards; AI model training", "domainList" : [ "garment-manufacturing-workflows", "manufacturing-quality-standards", "ai-model-training" ], "domainSpecificKnowledge" : [ "Garment manufacturing workflows", "Manufacturing quality standards", "AI model training" ], "communicationSkills" : "Explain quality judgments; Explain production realities", "specialRequirements" : "Supply secure computer", "qualificationsBasic" : "Hands-on experience inspecting garments, Experience evaluating quality standards, Experience with inspection processes, Experience with factory workflows", "qualificationsPreferred" : "General experience in garment manufacturing, Familiarity with sewing outputs, Familiarity with production lines, Familiarity with inspection checkpoints, Advanced technical practical factory-floor experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Are you experienced in garment manufacturing quality control and interested in helping train the next generation of AI systems? As AI models are increasingly applied to global manufacturing, supply chain monitoring, and production analysis, their ability to reason about quality standards, inspection processes, and factory workflows depends on accurate, real-world training data. That training data begins with practitioners who understand how garments are actually produced and evaluated. We’re looking for Garment Manufacturing QC Specialists with hands-on experience inspecting garments and finished goods in factory or production environments. You’ll challenge AI models on real-world quality control scenarios involving defect identification, measurement tolerances, stitching quality, material consistency, finishing standards, and production compliance. This project focuses on evaluating how well models understand manufacturing workflows, common failure points, and quality decision-making at scale. On a typical day, you will review and discuss garment quality inspection scenarios with the model, verify whether model reasoning aligns with real factory QC practices, evaluate defect classification and severity assessment, analyze inspection workflows across production stages, capture recurring model errors, and suggest improvements to training prompts and evaluation criteria. General experience in garment manufacturing environments is ideal, including familiarity with sewing outputs, production lines, and inspection checkpoints. This project does not require advanced technical education; practical factory-floor experience in quality checking or garment inspection is strongly valued. Clear communication and the ability to explain quality judgments and production realities are essential. Ready to turn your garment manufacturing QC expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will help improve manufacturing quality worldwide. We offer a pay range of $6-to-$15 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply. Project Title: Garment Manufacturing QC Specialist – Freelance AI Trainer Project Employment type: Freelance / Contract Workplace type: Remote", "summaryDescription" : "Garment Manufacturing QC Specialist - Freelance AI Trainer Project at Meridial. Skills: Garment manufacturing, Quality control, AI training. Review garment quality inspection scenarios. Discuss garment quality inspection scenarios", "postedDate" : "2026-06-15T23:27:03.743", "createdAt" : "2026-06-15T23:27:03.743", "lastUpdated" : "2026-06-16T07:21:52.312", "ingestTimestamp" : "2026-06-15T23:27:03.743", "mongoId" : "6a306072f292fd229cf8dbcc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12480, "salaryAnnualMax" : 31200, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Garment inspection", "Defect identification", "Measurement tolerances", "Stitching quality", "Material consistency", "Finishing standards", "Production compliance", "Garment manufacturing", "Quality control", "AI training", "Production analysis", "Garment manufacturing workflows", "Manufacturing quality standards", "AI model training" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.85 }, { "id" : "6a306072f292fd229cf8dbcf", "title" : "Garment Manufacturing QC Specialist - Freelance AI Trainer Project", "company" : "Meridial", "industry" : "Manufacturing", "salary" : { "min" : 6.0, "max" : 15.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Worldwide - Remote", "locations" : [ "Worldwide - Remote" ], "timestamp" : "2026-06-16T08:06:16.624", "fingerprint" : "fffb5225932ee3ba21981d77b6c81f9f8fbba52d139ed3fd083fe1d9cc7d4cd8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/agency/jobs/4754197101", "externalId" : "4754197101", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "professionalSkills" : [ "Quality control", "Inspection processes", "Factory workflows", "Production analysis" ], "hardSkillsList" : [ "Defect identification", "Measurement tolerances", "Stitching quality", "Material consistency", "Finishing standards", "Production compliance" ], "hardSkills" : [ { "name" : "Defect identification", "level" : "intermediate" }, { "name" : "Measurement tolerances", "level" : "intermediate" }, { "name" : "Stitching quality", "level" : "intermediate" }, { "name" : "Material consistency", "level" : "intermediate" }, { "name" : "Finishing standards", "level" : "intermediate" }, { "name" : "Production compliance", "level" : "intermediate" } ], "majorSkills" : "Garment manufacturing, Quality control, AI training", "majorSkillsList" : [ "Garment manufacturing", "Quality control", "AI training" ], "coreResponsibilities" : "Review garment quality inspection scenarios, Discuss garment quality inspection scenarios, Verify model reasoning alignment, Evaluate defect classification, Evaluate severity assessment, Analyze inspection workflows, Capture recurring model errors, Suggest improvements to training prompts, Suggest improvements to evaluation criteria", "domainKnowledge" : "Garment manufacturing; Quality control; AI models; Manufacturing workflows; Supply chain monitoring; Production analysis", "domainList" : [ "garment-manufacturing", "quality-control", "ai-models", "manufacturing-workflows", "supply-chain-monitoring", "production-analysis" ], "domainSpecificKnowledge" : [ "Garment manufacturing", "Quality control", "AI models", "Manufacturing workflows", "Supply chain monitoring", "Production analysis" ], "communicationSkills" : "Explain quality judgments; Explain production realities", "specialRequirements" : "Supply secure computer", "qualificationsBasic" : "Hands-on experience inspecting garments, Experience inspecting finished goods, Experience in factory environments, Experience in production environments, Experience evaluating quality standards, Experience with inspection processes, Experience with factory workflows, Experience with production analysis", "qualificationsPreferred" : "General experience in garment manufacturing, Familiarity with sewing outputs, Familiarity with production lines, Familiarity with inspection checkpoints, Advanced technical practical factory-floor experience, Advanced quality checking experience, Advanced garment inspection experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Are you experienced in garment manufacturing quality control and interested in helping train the next generation of AI systems? As AI models are increasingly applied to global manufacturing, supply chain monitoring, and production analysis, their ability to reason about quality standards, inspection processes, and factory workflows depends on accurate, real-world training data. That training data begins with practitioners who understand how garments are actually produced and evaluated. We’re looking for Garment Manufacturing QC Specialists with hands-on experience inspecting garments and finished goods in factory or production environments. You’ll challenge AI models on real-world quality control scenarios involving defect identification, measurement tolerances, stitching quality, material consistency, finishing standards, and production compliance. This project focuses on evaluating how well models understand manufacturing workflows, common failure points, and quality decision-making at scale. On a typical day, you will review and discuss garment quality inspection scenarios with the model, verify whether model reasoning aligns with real factory QC practices, evaluate defect classification and severity assessment, analyze inspection workflows across production stages, capture recurring model errors, and suggest improvements to training prompts and evaluation criteria. General experience in garment manufacturing environments is ideal, including familiarity with sewing outputs, production lines, and inspection checkpoints. This project does not require advanced technical education; practical factory-floor experience in quality checking or garment inspection is strongly valued. Clear communication and the ability to explain quality judgments and production realities are essential. Ready to turn your garment manufacturing QC expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will help improve manufacturing quality worldwide. We offer a pay range of $6-to-$15 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply. Project Title: Garment Manufacturing QC Specialist – Freelance AI Trainer Project Employment type: Freelance / Contract Workplace type: Remote", "summaryDescription" : "Garment Manufacturing QC Specialist - Freelance AI Trainer Project at Meridial. Skills: Garment manufacturing, Quality control, AI training. Review garment quality inspection scenarios. Discuss garment quality inspection scenarios", "postedDate" : "2026-06-15T23:25:00.452", "createdAt" : "2026-06-15T23:25:00.452", "lastUpdated" : "2026-06-16T08:06:16.624", "ingestTimestamp" : "2026-06-15T23:25:00.452", "mongoId" : "6a306072f292fd229cf8dbcf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12480, "salaryAnnualMax" : 31200, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Defect identification", "Measurement tolerances", "Stitching quality", "Material consistency", "Finishing standards", "Production compliance", "Garment manufacturing", "Quality control", "AI training", "Inspection processes", "Factory workflows", "Production analysis", "AI models", "Manufacturing workflows", "Supply chain monitoring" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.85 }, { "id" : "6a306072f292fd229cf8dbcb", "title" : "Garment Manufacturing QC Specialist - Freelance AI Trainer Project", "company" : "Meridial", "industry" : "Manufacturing", "salary" : { "min" : 6.0, "max" : 15.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Worldwide - Remote", "locations" : [ "Worldwide - Remote" ], "timestamp" : "2026-06-16T07:56:45.445", "fingerprint" : "fb86068f576bd93f4302e8b24e244a70bddecb40ce95d885b4f0df63f4fe3da5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/agency/jobs/4754190101", "externalId" : "4754190101", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "professionalSkills" : [ "Quality control", "Production analysis" ], "hardSkillsList" : [ "Garment inspection", "Defect identification", "Measurement tolerances", "Stitching quality", "Material consistency", "Finishing standards", "Production compliance" ], "softSkillsList" : [ "Clear communication" ], "hardSkills" : [ { "name" : "Garment inspection", "level" : "intermediate" }, { "name" : "Defect identification", "level" : "intermediate" }, { "name" : "Measurement tolerances", "level" : "intermediate" }, { "name" : "Stitching quality", "level" : "intermediate" }, { "name" : "Material consistency", "level" : "intermediate" }, { "name" : "Finishing standards", "level" : "intermediate" }, { "name" : "Production compliance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Clear communication" } ], "majorSkills" : "Garment manufacturing QC, AI training data", "majorSkillsList" : [ "Garment manufacturing QC", "AI training data" ], "coreResponsibilities" : "Review garment quality inspection scenarios, Discuss garment quality inspection scenarios, Verify model reasoning alignment, Evaluate defect classification, Evaluate severity assessment, Analyze inspection workflows, Capture recurring model errors, Suggest improvements to training prompts, Suggest improvements to evaluation criteria", "domainKnowledge" : "Garment manufacturing; Sewing outputs; Production lines; Inspection checkpoints; Manufacturing workflows; Quality decision-making", "domainList" : [ "garment-manufacturing", "sewing-outputs", "production-lines", "inspection-checkpoints", "manufacturing-workflows", "quality-decision-making" ], "domainSpecificKnowledge" : [ "Garment manufacturing", "Sewing outputs", "Production lines", "Inspection checkpoints", "Manufacturing workflows", "Quality decision-making" ], "communicationSkills" : "Explain quality judgments; Explain production realities", "specialRequirements" : "Supply secure computer", "outcomesObjectives" : "Improve manufacturing quality worldwide", "qualificationsBasic" : "Hands-on experience inspecting garments, Experience evaluating quality standards, Experience with inspection processes, Experience with factory workflows", "qualificationsPreferred" : "Advanced technical practical factory-floor experience, Advanced quality checking experience, Advanced garment inspection experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Are you experienced in garment manufacturing quality control and interested in helping train the next generation of AI systems? As AI models are increasingly applied to global manufacturing, supply chain monitoring, and production analysis, their ability to reason about quality standards, inspection processes, and factory workflows depends on accurate, real-world training data. That training data begins with practitioners who understand how garments are actually produced and evaluated. We’re looking for Garment Manufacturing QC Specialists with hands-on experience inspecting garments and finished goods in factory or production environments. You’ll challenge AI models on real-world quality control scenarios involving defect identification, measurement tolerances, stitching quality, material consistency, finishing standards, and production compliance. This project focuses on evaluating how well models understand manufacturing workflows, common failure points, and quality decision-making at scale. On a typical day, you will review and discuss garment quality inspection scenarios with the model, verify whether model reasoning aligns with real factory QC practices, evaluate defect classification and severity assessment, analyze inspection workflows across production stages, capture recurring model errors, and suggest improvements to training prompts and evaluation criteria. General experience in garment manufacturing environments is ideal, including familiarity with sewing outputs, production lines, and inspection checkpoints. This project does not require advanced technical education; practical factory-floor experience in quality checking or garment inspection is strongly valued. Clear communication and the ability to explain quality judgments and production realities are essential. Ready to turn your garment manufacturing QC expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will help improve manufacturing quality worldwide. We offer a pay range of $6-to-$15 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply. Project Title: Garment Manufacturing QC Specialist – Freelance AI Trainer Project Employment type: Freelance / Contract Workplace type: Remote", "summaryDescription" : "Garment Manufacturing QC Specialist - Freelance AI Trainer Project at Meridial. Skills: Garment manufacturing QC, AI training data. Review garment quality inspection scenarios. Discuss garment quality inspection scenarios", "postedDate" : "2026-06-15T23:24:54.027", "createdAt" : "2026-06-15T23:24:54.027", "lastUpdated" : "2026-06-16T07:56:45.445", "ingestTimestamp" : "2026-06-15T23:24:54.027", "mongoId" : "6a306072f292fd229cf8dbcb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12480, "salaryAnnualMax" : 31200, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Garment inspection", "Defect identification", "Measurement tolerances", "Stitching quality", "Material consistency", "Finishing standards", "Production compliance", "Clear communication", "Garment manufacturing QC", "AI training data", "Quality control", "Production analysis", "Garment manufacturing", "Sewing outputs", "Production lines", "Inspection checkpoints", "Manufacturing workflows", "Quality decision-making" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.85 }, { "id" : "6a306072f292fd229cf8dbcd", "title" : "Garment Manufacturing QC Specialist - Freelance AI Trainer Project", "company" : "Meridial", "industry" : "Manufacturing", "salary" : { "min" : 6.0, "max" : 15.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Worldwide - Remote", "locations" : [ "Worldwide - Remote" ], "timestamp" : "2026-06-16T07:43:58.896", "fingerprint" : "55eb22fe5ae468ff6391c0b5548520c845f939878df8359ad6aef6471c4de1c5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/agency/jobs/4754193101", "externalId" : "4754193101", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "professionalSkills" : [ "Quality control", "Production analysis" ], "hardSkillsList" : [ "Garment inspection", "Defect identification", "Measurement tolerances", "Stitching quality", "Material consistency", "Finishing standards", "Production compliance" ], "hardSkills" : [ { "name" : "Garment inspection", "level" : "intermediate" }, { "name" : "Defect identification", "level" : "intermediate" }, { "name" : "Measurement tolerances", "level" : "intermediate" }, { "name" : "Stitching quality", "level" : "intermediate" }, { "name" : "Material consistency", "level" : "intermediate" }, { "name" : "Finishing standards", "level" : "intermediate" }, { "name" : "Production compliance", "level" : "intermediate" } ], "majorSkills" : "Garment manufacturing, Quality control, AI training", "majorSkillsList" : [ "Garment manufacturing", "Quality control", "AI training" ], "coreResponsibilities" : "Review garment quality inspection scenarios, Discuss garment quality inspection scenarios, Verify model reasoning alignment, Evaluate defect classification, Evaluate severity assessment, Analyze inspection workflows, Capture recurring model errors, Suggest improvements to training prompts, Suggest improvements to evaluation criteria", "domainKnowledge" : "Garment manufacturing workflows; Manufacturing quality standards; Factory QC practices", "domainList" : [ "garment-manufacturing-workflows", "manufacturing-quality-standards", "factory-qc-practices" ], "domainSpecificKnowledge" : [ "Garment manufacturing workflows", "Manufacturing quality standards", "Factory QC practices" ], "communicationSkills" : "Explain quality judgments; Explain production realities", "specialRequirements" : "Supply secure computer", "qualificationsBasic" : "Hands-on experience inspecting garments, Experience evaluating quality standards, Experience with inspection processes, Experience with factory workflows", "qualificationsPreferred" : "General experience in garment manufacturing, Familiarity with sewing outputs, Familiarity with production lines, Familiarity with inspection checkpoints, Advanced technical practical factory-floor experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Are you experienced in garment manufacturing quality control and interested in helping train the next generation of AI systems? As AI models are increasingly applied to global manufacturing, supply chain monitoring, and production analysis, their ability to reason about quality standards, inspection processes, and factory workflows depends on accurate, real-world training data. That training data begins with practitioners who understand how garments are actually produced and evaluated. We’re looking for Garment Manufacturing QC Specialists with hands-on experience inspecting garments and finished goods in factory or production environments. You’ll challenge AI models on real-world quality control scenarios involving defect identification, measurement tolerances, stitching quality, material consistency, finishing standards, and production compliance. This project focuses on evaluating how well models understand manufacturing workflows, common failure points, and quality decision-making at scale. On a typical day, you will review and discuss garment quality inspection scenarios with the model, verify whether model reasoning aligns with real factory QC practices, evaluate defect classification and severity assessment, analyze inspection workflows across production stages, capture recurring model errors, and suggest improvements to training prompts and evaluation criteria. General experience in garment manufacturing environments is ideal, including familiarity with sewing outputs, production lines, and inspection checkpoints. This project does not require advanced technical education; practical factory-floor experience in quality checking or garment inspection is strongly valued. Clear communication and the ability to explain quality judgments and production realities are essential. Ready to turn your garment manufacturing QC expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will help improve manufacturing quality worldwide. We offer a pay range of $6-to-$15 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply. Project Title: Garment Manufacturing QC Specialist – Freelance AI Trainer Project Employment type: Freelance / Contract Workplace type: Remote", "summaryDescription" : "Garment Manufacturing QC Specialist - Freelance AI Trainer Project at Meridial. Skills: Garment manufacturing, Quality control, AI training. Review garment quality inspection scenarios. Discuss garment quality inspection scenarios", "postedDate" : "2026-06-15T23:23:47.348", "createdAt" : "2026-06-15T23:23:47.348", "lastUpdated" : "2026-06-16T07:43:58.896", "ingestTimestamp" : "2026-06-15T23:23:47.348", "mongoId" : "6a306072f292fd229cf8dbcd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12480, "salaryAnnualMax" : 31200, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Garment inspection", "Defect identification", "Measurement tolerances", "Stitching quality", "Material consistency", "Finishing standards", "Production compliance", "Garment manufacturing", "Quality control", "AI training", "Production analysis", "Garment manufacturing workflows", "Manufacturing quality standards", "Factory QC practices" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.85 }, { "id" : "6a306072f292fd229cf8dbc3", "title" : "Garment Manufacturing QC Specialist - Freelance AI Trainer Project", "company" : "Meridial", "industry" : "Manufacturing", "salary" : { "min" : 6.0, "max" : 15.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Worldwide - Remote", "locations" : [ "Worldwide - Remote" ], "timestamp" : "2026-06-16T06:39:58.620", "fingerprint" : "25e90de1a2a39ccf15846a9eb243113959f52dfdfcce1f6e23c2af70c49257f3", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/agency/jobs/4754195101", "externalId" : "4754195101", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "professionalSkills" : [ "Quality control", "Production analysis" ], "hardSkillsList" : [ "Garment inspection", "Defect identification", "Measurement tolerances", "Stitching quality", "Material consistency", "Finishing standards", "Production compliance" ], "hardSkills" : [ { "name" : "Garment inspection", "level" : "intermediate" }, { "name" : "Defect identification", "level" : "intermediate" }, { "name" : "Measurement tolerances", "level" : "intermediate" }, { "name" : "Stitching quality", "level" : "intermediate" }, { "name" : "Material consistency", "level" : "intermediate" }, { "name" : "Finishing standards", "level" : "intermediate" }, { "name" : "Production compliance", "level" : "intermediate" } ], "majorSkills" : "Garment manufacturing QC, AI training data", "majorSkillsList" : [ "Garment manufacturing QC", "AI training data" ], "coreResponsibilities" : "Review garment quality inspection scenarios, Discuss garment quality inspection scenarios, Verify model reasoning alignment, Evaluate defect classification, Evaluate severity assessment, Analyze inspection workflows, Capture recurring model errors, Suggest improvements to training prompts, Suggest improvements to evaluation criteria", "domainKnowledge" : "Garment production; Manufacturing workflows; Quality decision-making", "domainList" : [ "garment-production", "manufacturing-workflows", "quality-decision-making" ], "domainSpecificKnowledge" : [ "Garment production", "Manufacturing workflows", "Quality decision-making" ], "communicationSkills" : "Explain quality judgments; Explain production realities", "specialRequirements" : "Supply secure computer", "qualificationsBasic" : "Hands-on experience inspecting garments, Experience evaluating quality standards, Experience with inspection processes, Experience with factory workflows", "qualificationsPreferred" : "General experience in garment manufacturing, Familiarity with sewing outputs, Familiarity with production lines, Familiarity with inspection checkpoints, Advanced technical practical factory-floor experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Are you experienced in garment manufacturing quality control and interested in helping train the next generation of AI systems? As AI models are increasingly applied to global manufacturing, supply chain monitoring, and production analysis, their ability to reason about quality standards, inspection processes, and factory workflows depends on accurate, real-world training data. That training data begins with practitioners who understand how garments are actually produced and evaluated. We’re looking for Garment Manufacturing QC Specialists with hands-on experience inspecting garments and finished goods in factory or production environments. You’ll challenge AI models on real-world quality control scenarios involving defect identification, measurement tolerances, stitching quality, material consistency, finishing standards, and production compliance. This project focuses on evaluating how well models understand manufacturing workflows, common failure points, and quality decision-making at scale. On a typical day, you will review and discuss garment quality inspection scenarios with the model, verify whether model reasoning aligns with real factory QC practices, evaluate defect classification and severity assessment, analyze inspection workflows across production stages, capture recurring model errors, and suggest improvements to training prompts and evaluation criteria. General experience in garment manufacturing environments is ideal, including familiarity with sewing outputs, production lines, and inspection checkpoints. This project does not require advanced technical education; practical factory-floor experience in quality checking or garment inspection is strongly valued. Clear communication and the ability to explain quality judgments and production realities are essential. Ready to turn your garment manufacturing QC expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will help improve manufacturing quality worldwide. We offer a pay range of $6-to-$15 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply. Project Title: Garment Manufacturing QC Specialist – Freelance AI Trainer Project Employment type: Freelance / Contract Workplace type: Remote", "summaryDescription" : "Garment Manufacturing QC Specialist - Freelance AI Trainer Project at Meridial. Skills: Garment manufacturing QC, AI training data. Review garment quality inspection scenarios. Discuss garment quality inspection scenarios", "postedDate" : "2026-06-15T23:23:03.591", "createdAt" : "2026-06-15T23:23:03.591", "lastUpdated" : "2026-06-16T06:39:58.620", "ingestTimestamp" : "2026-06-15T23:23:03.591", "mongoId" : "6a306072f292fd229cf8dbc3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12480, "salaryAnnualMax" : 31200, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Garment inspection", "Defect identification", "Measurement tolerances", "Stitching quality", "Material consistency", "Finishing standards", "Production compliance", "Garment manufacturing QC", "AI training data", "Quality control", "Production analysis", "Garment production", "Manufacturing workflows", "Quality decision-making" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.85 }, { "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, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "6a305118f292fd229cef9a76", "title" : "French Audio Evaluations Specialist - Freelance AI Trainer Project", "industry" : "Others", "salary" : { "min" : 6.0, "max" : 65.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Poland", "locations" : [ "Poland" ], "timestamp" : "2026-06-16T12:00:26.252", "fingerprint" : "5ddf319726441acc77de16c89115a59f5ad86ffa8ba13bb2d59297e9a4296d47", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/cd84ca7e-9ba5-42c1-ae8b-e4b38aeecb73/apply", "externalId" : "cd84ca7e-9ba5-42c1-ae8b-e4b38aeecb73", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "CONTRACT", "technicalSkills" : "JSON", "professionalSkills" : [ "Technical troubleshooting", "AI evaluation" ], "hardSkillsList" : [ "Linguistics", "QA", "Analytical skills", "Programming concepts", "Logical reasoning" ], "hardSkills" : [ { "name" : "Linguistics", "level" : "intermediate" }, { "name" : "QA", "level" : "intermediate" }, { "name" : "Analytical skills", "level" : "intermediate" }, { "name" : "Programming concepts", "level" : "intermediate" }, { "name" : "Logical reasoning", "level" : "intermediate" } ], "coreResponsibilities" : "Design role-play evaluation scenarios, Evaluate AI-generated audio outputs, Audit conversational performance, Assess technical reasoning in AI outputs, Contribute to audio datasets, Follow evaluation guidelines, Produce evaluation outputs", "domainKnowledge" : "Customer support; Technical services; Conversational AI", "domainList" : [ "customer-support", "technical-services", "conversational-ai" ], "domainSpecificKnowledge" : [ "Customer support", "Technical services", "Conversational AI" ], "communicationSkills" : "Professional role-play simulations", "documentationSkills" : "Well-documented outputs", "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Remote freelance/contractor environment", "qualificationsBasic" : "Native or bilingual proficiency in French, Excellent spoken, written, listening, and reading skills in French, Proven experience in customer support, Proven experience in technical troubleshooting, Proven experience in linguistics, Proven experience in QA, Proven experience in AI evaluation-related work, Basic understanding of programming concepts, High attention to detail, Ability to work with structured evaluation rubrics, Reliable access to high-quality microphone, Stable internet connection", "qualificationsPreferred" : "PhD preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Design and execute complex role-play evaluation scenarios simulating real customer support interactions in domains such as travel, finance, and technical services. Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Design role-play evaluation scenarios. Evaluate AI-generated audio outputs", "postedDate" : "2026-06-15T12:57:12.933", "createdAt" : "2026-06-15T12:57:12.933", "lastUpdated" : "2026-06-16T12:00:26.252", "ingestTimestamp" : "2026-06-16T03:21:03.705", "mongoId" : "6a305118f292fd229cef9a76", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12480, "salaryAnnualMax" : 135200, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Linguistics", "QA", "Analytical skills", "Programming concepts", "Logical reasoning", "Technical troubleshooting", "AI evaluation", "Customer support", "Technical services", "Conversational AI" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305118f292fd229cef9a6f", "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" : "Austria", "locations" : [ "Austria" ], "timestamp" : "2026-06-16T13:05:24.756", "fingerprint" : "70d0d6ce7aac6b9dd93488ba509e5b13c5287597a1bc7595c1d1d07e3a47d77b", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/ad69e911-68e5-41f2-bda2-5089ef2a1011/apply", "externalId" : "ad69e911-68e5-41f2-bda2-5089ef2a1011", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "CONTRACT", "technicalSkills" : "JSON", "professionalSkills" : [ "Technical troubleshooting", "AI evaluation" ], "hardSkillsList" : [ "Conversational quality assessment", "Data accuracy assessment", "Logical reasoning" ], "hardSkills" : [ { "name" : "Conversational quality assessment", "level" : "intermediate" }, { "name" : "Data accuracy assessment", "level" : "intermediate" }, { "name" : "Logical reasoning", "level" : "intermediate" } ], "majorSkills" : "Audio evaluation, AI training", "majorSkillsList" : [ "Audio evaluation", "AI training" ], "coreResponsibilities" : "Design role-play evaluation scenarios, Execute role-play evaluation scenarios, Evaluate AI-generated audio outputs, Audit conversational performance, Assess technical reasoning in AI outputs, Contribute to creation of audio datasets, Contribute to refinement of audio datasets, Follow structured evaluation guidelines, Produce accurate evaluation outputs, Produce well-documented evaluation outputs, Produce high-quality evaluation outputs", "domainKnowledge" : "Customer support; Technical services; JSON structures; Support workflows; Conversational AI", "domainList" : [ "customer-support", "technical-services", "json-structures", "support-workflows", "conversational-ai" ], "domainSpecificKnowledge" : [ "Customer support", "Technical services", "JSON structures", "Support workflows", "Conversational AI" ], "communicationSkills" : "Spoken French; Written French; Listening French; Reading French", "documentationSkills" : "Well-documented outputs", "problemSolvingSkills" : "Analytical skills", "specialRequirements" : "High-quality microphone, Stable internet connection", "qualificationsBasic" : "Native or bilingual proficiency in French, Excellent spoken, written, listening, and reading skills, Proven experience in customer support, Proven experience in technical troubleshooting, Proven experience in linguistics, Proven experience in QA, Proven experience in AI evaluation, Analytical skills, Assess conversational quality, Assess structured data accuracy, Basic understanding of programming concepts, High attention to detail, Ability to work with structured evaluation rubrics, Ability to work with structured evaluation guidelines, Communication skills, Ability to conduct realistic role-play simulations, Ability to conduct professional role-play simulations, Reliable access to high-quality microphone, Reliable access to stable internet connection, Comfortable working independently in remote freelance environment", "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: Audio evaluation, AI training. Design role-play evaluation scenarios. Execute role-play evaluation scenarios", "postedDate" : "2026-06-15T12:56:56.079", "createdAt" : "2026-06-15T12:56:56.079", "lastUpdated" : "2026-06-16T13:05:24.756", "ingestTimestamp" : "2026-06-16T03:21:34.455", "mongoId" : "6a305118f292fd229cef9a6f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12480, "salaryAnnualMax" : 135200, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Conversational quality assessment", "Data accuracy assessment", "Logical reasoning", "Audio evaluation", "AI training", "Technical troubleshooting", "AI evaluation", "Customer support", "Technical services", "JSON structures", "Support workflows", "Conversational AI" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305118f292fd229cef9a5e", "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" : "Sweden", "locations" : [ "Sweden" ], "timestamp" : "2026-06-16T11:46:19.731", "fingerprint" : "4603e9a0cb0522e87be774767e611589705f0023f343281ba3e60686b62c03e3", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/382269d1-5014-4773-8821-a54a547d1095/apply", "externalId" : "382269d1-5014-4773-8821-a54a547d1095", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "CONTRACT", "technicalSkills" : "JSON", "professionalSkills" : [ "Role-play evaluation", "Conversational performance assessment", "Technical reasoning assessment" ], "hardSkillsList" : [ "Qualitative metrics evaluation", "Quantitative metrics evaluation", "Data integrity" ], "hardSkills" : [ { "name" : "Qualitative metrics evaluation", "level" : "intermediate" }, { "name" : "Quantitative metrics evaluation", "level" : "intermediate" }, { "name" : "Data integrity", "level" : "intermediate" } ], "majorSkills" : "AI evaluation, Audio evaluation, French language", "majorSkillsList" : [ "AI evaluation", "Audio evaluation", "French language" ], "coreResponsibilities" : "Design role-play evaluation scenarios, 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, Produce accurate evaluation outputs, Produce well-documented evaluation outputs, Produce high-quality evaluation outputs", "domainKnowledge" : "Customer support interactions; Travel domain; Finance domain; Technical services domain; AI audio development; Conversational AI systems", "domainList" : [ "customer-support-interactions", "travel-domain", "finance-domain", "technical-services-domain", "ai-audio-development", "conversational-ai-systems" ], "domainSpecificKnowledge" : [ "Customer support interactions", "Travel domain", "Finance domain", "Technical services domain", "AI audio development", "Conversational AI systems" ], "communicationSkills" : "Spoken French; Written French; Listening French; Reading French", "documentationSkills" : "Documentation", "problemSolvingSkills" : "Analytical skills", "specialRequirements" : "High-quality microphone, Stable internet connection", "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, Communication skills, Ability to conduct realistic, professional role-play simulations, Reliable access to a high-quality microphone, Stable internet connection, Comfortable working independently in a remote freelance/contractor environment", "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 evaluation, French language. Design role-play evaluation scenarios. Evaluate AI-generated audio outputs", "postedDate" : "2026-06-15T12:56:37.671", "createdAt" : "2026-06-15T12:56:37.671", "lastUpdated" : "2026-06-16T11:46:19.731", "ingestTimestamp" : "2026-06-16T03:22:08.121", "mongoId" : "6a305118f292fd229cef9a5e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12480, "salaryAnnualMax" : 135200, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Qualitative metrics evaluation", "Quantitative metrics evaluation", "Data integrity", "AI evaluation", "Audio evaluation", "French language", "Role-play evaluation", "Conversational performance assessment", "Technical reasoning assessment", "Customer support interactions", "Travel domain", "Finance domain", "Technical services domain", "AI audio development", "Conversational AI systems" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305118f292fd229cef9a5f", "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" : "Israel", "locations" : [ "Israel" ], "timestamp" : "2026-06-16T12:44:19.239", "fingerprint" : "cc174930ca6e77cba83b8df80dd32f34d40e5127d6a1987a72278e24074de9cc", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/449d066c-b744-44b0-93a6-fb772fa9eab5/apply", "externalId" : "449d066c-b744-44b0-93a6-fb772fa9eab5", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "CONTRACT", "technicalSkills" : "JSON", "professionalSkills" : [ "Role-play evaluation", "Data evaluation", "Conversational performance assessment", "Technical reasoning assessment", "Dataset creation", "Dataset refinement", "Evaluation guideline adherence" ], "hardSkillsList" : [ "Qualitative metrics", "Quantitative metrics", "Structured data accuracy", "Logical reasoning" ], "hardSkills" : [ { "name" : "Qualitative metrics", "level" : "intermediate" }, { "name" : "Quantitative metrics", "level" : "intermediate" }, { "name" : "Structured data accuracy", "level" : "intermediate" }, { "name" : "Logical reasoning", "level" : "intermediate" } ], "majorSkills" : "Audio evaluation, AI training, French language", "majorSkillsList" : [ "Audio evaluation", "AI training", "French language" ], "coreResponsibilities" : "Design role-play evaluation scenarios, Execute role-play evaluation scenarios, Evaluate AI-generated audio outputs, Audit conversational performance, Assess technical reasoning in AI outputs, Contribute to audio dataset creation, Contribute to audio dataset refinement, Follow evaluation guidelines, Produce evaluation outputs, Document evaluation outputs", "domainKnowledge" : "Customer support; Technical services; Travel industry; Finance industry; AI audio; Conversational models", "domainList" : [ "customer-support", "technical-services", "travel-industry", "finance-industry", "ai-audio", "conversational-models" ], "domainSpecificKnowledge" : [ "Customer support", "Technical services", "Travel industry", "Finance industry", "AI audio", "Conversational models" ], "communicationSkills" : "Spoken French; Written French; Listening French; Reading French", "documentationSkills" : "Well-documented outputs", "problemSolvingSkills" : "Analytical skills", "specialRequirements" : "High-quality microphone, Stable internet connection", "outcomesObjectives" : "High-quality evaluation outputs", "qualificationsBasic" : "Native or bilingual proficiency in French, Excellent spoken, written, listening, and reading skills, Proven experience in customer support, Proven experience in technical troubleshooting, Proven experience in linguistics, Proven experience in QA, Proven experience in AI evaluation, Analytical skills, Assess conversational quality, Assess structured data accuracy, Basic understanding of programming concepts, Understanding of JSON structures, Understanding of functions, Understanding of methods, Understanding of simple logic, High attention to detail, Ability to work with structured evaluation rubrics, Ability to work with structured evaluation guidelines, Communication skills, Conduct realistic role-play simulations, Conduct professional role-play simulations, Reliable access to high-quality microphone, Stable internet connection, Comfortable working independently, Comfortable working in remote freelance environment", "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: Audio evaluation, AI training, French language. Design role-play evaluation scenarios. 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Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio datasets. Design role-play evaluation scenarios. 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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). 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Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). 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Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: Audio evaluation, AI training. Design role-play evaluation scenarios. 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Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio datasets. Design role-play evaluation scenarios. 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Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio datasets. Design role-play evaluation scenarios. 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Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio evaluation, French language. Design role-play evaluation scenarios. 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Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio datasets. Design role-play evaluation scenarios. 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Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio evaluation, French language. Design role-play evaluation scenarios. Evaluate AI-generated audio outputs", "postedDate" : "2026-06-15T12:53:50.797", "createdAt" : "2026-06-15T12:53:50.797", "lastUpdated" : "2026-06-16T12:30:49.912", "ingestTimestamp" : "2026-06-16T03:21:20.387", "mongoId" : "6a305118f292fd229cef9a6c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12480, "salaryAnnualMax" : 135200, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Qualitative metrics", "Quantitative metrics", "Structured data accuracy", "AI evaluation", "Audio evaluation", "French language", "Role-play evaluation", "Conversational performance assessment", "Technical reasoning assessment", "Dataset creation", "Data integrity", "Customer support", "Technical troubleshooting", "Linguistics", "JSON structures", "Functions", "Methods", "Support workflows", "Conversational AI" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305118f292fd229cef9a65", "title" : "French Audio Evaluations Specialist - Freelance AI Trainer Project", "industry" : "Others", "salary" : { "min" : 6.0, "max" : 65.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Portugal", "locations" : [ "Portugal" ], "timestamp" : "2026-06-16T12:56:35.286", "fingerprint" : "6583def78f478bd6cd31a4abb56668626f6df97aa6cc77f0858babc9f05313e4", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/7542eec4-c524-488d-9445-513abd017068/apply", "externalId" : "7542eec4-c524-488d-9445-513abd017068", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "CONTRACT", "technicalSkills" : "JSON", "professionalSkills" : [ "Role-play evaluation", "Conversational performance assessment", "Technical reasoning assessment", "Data dataset creation", "Data dataset refinement", "Evaluation guideline adherence", "Independent work", "Documentation" ], "hardSkillsList" : [ "Qualitative metrics evaluation", "Quantitative metrics evaluation", "Logical reasoning" ], "hardSkills" : [ { "name" : "Qualitative metrics evaluation", "level" : "intermediate" }, { "name" : "Quantitative metrics evaluation", "level" : "intermediate" }, { "name" : "Logical reasoning", "level" : "intermediate" } ], "majorSkills" : "AI evaluation, Audio evaluation, French language, Customer support simulation", "majorSkillsList" : [ "AI evaluation", "Audio evaluation", "French language", "Customer support simulation" ], "coreResponsibilities" : "Design role-play evaluation scenarios, Execute role-play evaluation scenarios, Evaluate AI-generated audio outputs, Audit conversational performance, Assess technical reasoning in AI outputs, Contribute to audio dataset creation, Contribute to audio dataset refinement, Follow structured evaluation guidelines, Produce accurate evaluation outputs, Produce well-documented evaluation outputs, Produce high-quality evaluation outputs", "domainKnowledge" : "Customer support interactions; 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Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio evaluation, French language, Customer support simulation. Design role-play evaluation scenarios. 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Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio evaluation, French language proficiency. Design role-play evaluation scenarios. Execute role-play evaluation scenarios", "postedDate" : "2026-06-15T12:53:12.031", "createdAt" : "2026-06-15T12:53:12.031", "lastUpdated" : "2026-06-16T12:41:20.486", "ingestTimestamp" : "2026-06-16T03:21:40.629", "mongoId" : "6a305118f292fd229cef9a72", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12480, "salaryAnnualMax" : 135200, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Qualitative metrics evaluation", "Quantitative metrics evaluation", "Conversational performance auditing", "Audio dataset creation", "Audio dataset refinement", "Evaluation guideline adherence", "AI evaluation", "Audio evaluation", "French language proficiency", "Role-play evaluation", "Conversational quality assessment", "Technical reasoning assessment", "Customer support interactions", "Travel domain", "Finance domain", "Technical services domain", "JSON structures", "Support workflows" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305118f292fd229cef9a7b", "title" : "French Audio Evaluations Specialist - Freelance AI Trainer Project", "industry" : "Others", "salary" : { "min" : 6.0, "max" : 65.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Ireland", "locations" : [ "Ireland" ], "timestamp" : "2026-06-16T12:27:33.792", "fingerprint" : "933364bf26cb6fe6d108e6186e3fc507577d4f11244e112974ca506e890176fd", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/fb80b2bf-7c6d-464b-ac59-6eff70bb640c/apply", "externalId" : "fb80b2bf-7c6d-464b-ac59-6eff70bb640c", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "CONTRACT", "technicalSkills" : "JSON", "professionalSkills" : [ "Role-play evaluation", "Data evaluation", "Conversational performance assessment", "Technical reasoning assessment", "Dataset creation", "Dataset refinement", "Evaluation guideline adherence", "Independent work" ], "hardSkillsList" : [ "Audio evaluation", "Qualitative metrics", "Quantitative metrics", "Structured data accuracy", "Programming concepts", "Logical reasoning" ], "hardSkills" : [ { "name" : "Audio evaluation", "level" : "intermediate" }, { "name" : "Qualitative metrics", "level" : "intermediate" }, { "name" : "Quantitative metrics", "level" : "intermediate" }, { "name" : "Structured data accuracy", "level" : "intermediate" }, { "name" : "Programming concepts", "level" : "intermediate" }, { "name" : "Logical reasoning", "level" : "intermediate" } ], "majorSkills" : "Audio evaluation, AI training, French language", "majorSkillsList" : [ "Audio evaluation", "AI training", "French language" ], "coreResponsibilities" : "Design role-play evaluation scenarios, Execute role-play evaluation scenarios, Evaluate AI-generated audio outputs, Audit conversational performance, Assess technical reasoning in AI outputs, Contribute to dataset creation, Contribute to dataset refinement, Follow evaluation guidelines, Produce evaluation outputs, Document evaluation outputs", "domainKnowledge" : "Customer support interactions; 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Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: Audio evaluation, AI training, French language. Design role-play evaluation scenarios. 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Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio evaluation, Linguistics. Design role-play evaluation scenarios. 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Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: Audio evaluation, AI training, French language. Design role-play evaluation scenarios. 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Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio datasets, Conversational AI. Design role-play evaluation scenarios. 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Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, French language, Audio datasets. Design role-play evaluation scenarios. 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Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio datasets. Design role-play evaluation scenarios. 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Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. 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Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio evaluation, French language proficiency. Design role-play evaluation scenarios. 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Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, French language proficiency, Customer support experience. Design role-play evaluation scenarios. 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Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: Audio evaluation, AI training, Role-play simulation. Design role-play evaluation scenarios. Evaluate AI-generated audio outputs", "postedDate" : "2026-06-15T12:50:23.857", "createdAt" : "2026-06-15T12:50:23.857", "lastUpdated" : "2026-06-16T12:19:27.817", "ingestTimestamp" : "2026-06-16T03:24:59.091", "mongoId" : "6a305118f292fd229cef9a77", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12480, "salaryAnnualMax" : 135200, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Linguistics", "Data integrity", "Conversational quality assessment", "Structured data accuracy", "Audio evaluation", "AI training", "Role-play simulation", "Technical troubleshooting", "AI evaluation", "Customer support interactions", "Technical services", "AI audio", "Conversational AI" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305118f292fd229cef9a6d", "title" : "French Audio Evaluations Specialist - Freelance AI Trainer Project", "industry" : "Others", "salary" : { "min" : 6.0, "max" : 65.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "India", "locations" : [ "India" ], "timestamp" : "2026-06-16T10:53:17.976", "fingerprint" : "69a864f69a23d275dc76988277bacdc999b396ded17c2ff6d99fa3c31f740baf", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/9abcd230-e7b2-416b-9d6d-13677c92a70b/apply", "externalId" : "9abcd230-e7b2-416b-9d6d-13677c92a70b", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "India", "employmentType" : "CONTRACT", "technicalSkills" : "JSON", "professionalSkills" : [ "Role-play evaluation", "Conversational performance assessment", "Technical reasoning assessment" ], "hardSkillsList" : [ "Qualitative metrics", "Quantitative metrics", "Data integrity" ], "hardSkills" : [ { "name" : "Qualitative metrics", "level" : "intermediate" }, { "name" : "Quantitative metrics", "level" : "intermediate" }, { "name" : "Data integrity", "level" : "intermediate" } ], "majorSkills" : "AI evaluation, Audio evaluation, French language", "majorSkillsList" : [ "AI evaluation", "Audio evaluation", "French language" ], "coreResponsibilities" : "Design role-play evaluation scenarios, Execute role-play evaluation scenarios, Evaluate AI-generated audio outputs, Audit conversational performance, Assess technical reasoning in AI outputs, Contribute to audio dataset creation, Refine audio dataset creation, Follow structured evaluation guidelines, Produce accurate evaluation outputs, Produce well-documented evaluation outputs, Produce high-quality evaluation outputs", "domainKnowledge" : "Customer support interactions; Technical support workflows; Conversational AI", "domainList" : [ "customer-support-interactions", "technical-support-workflows", "conversational-ai" ], "domainSpecificKnowledge" : [ "Customer support interactions", "Technical support workflows", "Conversational AI" ], "communicationSkills" : "Written communication; Spoken communication; Listening skills; Reading skills", "documentationSkills" : "Well-documented outputs", "problemSolvingSkills" : "Analytical skills", "specialRequirements" : "High-quality microphone required, Stable internet connection required", "qualificationsBasic" : "Native or bilingual proficiency in French, Excellent spoken, written, listening, and reading skills, Proven experience in customer support, Proven experience in technical troubleshooting, Proven experience in linguistics, Proven experience in QA, Proven experience in AI evaluation, Analytical skills, Basic understanding of programming concepts, High attention to detail, Ability to work with structured evaluation rubrics, Ability to work with structured guidelines, Communication skills, Reliable access to high-quality microphone, Stable internet connection, Comfortable working independently", "qualificationsPreferred" : "Experience in travel domain, Experience in finance domain, Experience in technical services domain, Experience assessing technical reasoning, Experience with JSON structures, Experience with functions, Experience with methods, Experience with simple logic", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Accountabilities Design and execute complex role-play evaluation scenarios simulating real customer support interactions in domains such as travel, finance, and technical services. Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio evaluation, French language. Design role-play evaluation scenarios. Execute role-play evaluation scenarios", "postedDate" : "2026-06-15T12:39:04.773", "createdAt" : "2026-06-15T12:39:04.773", "lastUpdated" : "2026-06-16T10:53:17.976", "ingestTimestamp" : "2026-06-16T03:22:45.528", "mongoId" : "6a305118f292fd229cef9a6d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12480, "salaryAnnualMax" : 135200, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Qualitative metrics", "Quantitative metrics", "Data integrity", "AI evaluation", "Audio evaluation", "French language", "Role-play evaluation", "Conversational performance assessment", "Technical reasoning assessment", "Customer support interactions", "Technical support workflows", "Conversational AI" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a660974d8ee00a062ba0b", "title" : "AI Data Trainer (Arabic)", "company" : "ADCI", "industry" : "Editorial, Writing, Content Management, Machine Learning Data Operatio, Retail", "salary" : { "min" : 600000.0, "max" : 900000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Junior AI Data Trainer in Gurugram, India, adjusted for the technology industry and full-time employment." }, "location" : "Gurugram, Haryana, IND", "locations" : [ "Gurugram, Haryana, IND" ], "certifications" : [ "Cambridge certifications" ], "timestamp" : "2026-06-15T06:29:26.031", "fingerprint" : "56b82498018ea2f6ba7b9128bcb5cc1c6e622f90eddd43b20bbf269fb0aebfd0", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10443291/apply", "externalId" : "abbd5398-299d-40a2-bf90-eb6cd3d4cdba", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Gurugram", "state" : "Haryana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "28.4646148,77.0299194" } ], "locationText" : "Gurugram, Haryana, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 1, "technicalSkills" : "AI, LLMs, NLP", "professionalSkills" : [ "Content writing", "Editorial writing" ], "hardSkillsList" : [ "Arabic language proficiency" ], "softSkillsList" : [ "Analytical thinking", "Problem-solving" ], "hardSkills" : [ { "name" : "Arabic language proficiency", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical thinking" }, { "name" : "Problem-solving" } ], "majorSkills" : "AI training, Data annotation, Arabic language", "majorSkillsList" : [ "AI training", "Data annotation", "Arabic language" ], "coreResponsibilities" : "Contribute to projects generating training datasets for AI, Create content generating text-based user input for AI, Validate data based on annotation guidelines, Perform data collection and curation, Generate high-quality data for AI models, Work closely with team members and managers, Drive process efficiencies, Explore opportunities for automation, Enhance productivity and effectiveness of data generation and", "teamCollaboration" : "Work closely with team members; Work with managers; Work with Shopping feature teams", "domainKnowledge" : "AI; LLMs; NLP; RLHF", "domainList" : [ "ai", "llms", "nlp", "rlhf" ], "domainSpecificKnowledge" : [ "AI", "LLMs", "NLP", "RLHF" ], "toolProficiency" : [ "Open AI" ], "communicationSkills" : "Written communication; Oral communication", "problemSolvingSkills" : "Analytical thinking; Problem-solving", "qualificationsBasic" : "Bachelor's degree in Arabic Language, 1+ years of experience in content or editorial writing, Proficient in Arabic language, Language proficiency in verbal, writing, reading and comprehension, Required language level: Graduation, Outstanding communication skills, Keen eye for detail, Organizational skills, Proficient in analytical thinking, Proficient in problem-solving", "qualificationsPreferred" : "Post Graduation degree in Arabic Language, Previous experience as AI trainers, Knowledge of AI and NLP, Cambridge certifications, Experience with Artificial Intelligence interaction, Prompt generation experience, Open AI's experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging cutting-edge technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities As part of your role, you will have the opportunity to, • Contribute to various projects involved in generating training datasets for AI models • Create content that generates text-based user input to power artificial intelligence • Validate data based on specific annotation guidelines, ensuring the accuracy and quality of the collected information • Perform data collection and curation, ultimately resulting in the generation of high-quality data that can be utilized for AI models • You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation • You will strive to enhance the productivity and effectiveness of the data generation and annotation processes About the team Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. Basic Qualifications: - Bachelor's degree in Arabic Language - 1+ years of experience in content or editorial writing. - Proficient in Arabic language. - Candidate must demonstrate language proficiency in all the following: verbal, writing, reading and comprehension. - Required language level: Graduation - Outstanding communication skills, both written and oral, with a keen eye for detail. - Strong organizational skills to effectively manage tasks and projects. - Proficient in analytical thinking and problem-solving. - Comfortable working in a fast-paced, highly collaborative, and dynamic work environment. Preferred Qualifications: - Post Graduation degree in Arabic Language. - Previous experience as AI trainers, knowledge of AI and NLP, Cambridge certifications Experience with Artificial Intelligence interaction, such as prompt generation and open AI's Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "AI Data Trainer (Arabic) at ADCI. Skills: AI training, Data annotation, Arabic language. Contribute to projects generating training datasets for AI. Create content generating text-based user input for AI", "postedDate" : "2026-06-13T09:52:33.242", "createdAt" : "2026-06-13T09:52:33.242", "lastUpdated" : "2026-06-15T06:29:26.031", "ingestTimestamp" : "2026-06-13T09:52:33.242", "mongoId" : "6a2a660974d8ee00a062ba0b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10443291/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Arabic language proficiency", "Analytical thinking", "Problem-solving", "AI training", "Data annotation", "Arabic language", "Content writing", "Editorial writing", "AI", "LLMs", "NLP", "RLHF", "Cambridge certifications", "Open AI" ], "skillCount" : 14, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c91a774d8ee00a09838c7", "title" : "Italian Audio Evaluations Specialist - Freelance AI Trainer Project", "company" : "Meridial", "industry" : "Technology", "salary" : { "min" : 1000000.0, "max" : 1500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the entry-level seniority, freelance contract, and technology industry market data for a worldwide remote position, adjusted for the Indian Rupee baseline." }, "location" : "Worldwide - Remote", "locations" : [ "Worldwide - Remote" ], "timestamp" : "2026-06-16T07:01:14.744", "fingerprint" : "0bd8319f283f4755af6e7d45c2fed44489a78a4e650a2d1eb348c44ba8fd7389", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/agency/jobs/4896015101", "externalId" : "4896015101", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "coreResponsibilities" : "Evaluate AI models, Audit conversational AI outputs, Generate datasets, Optimize model performance", "domainKnowledge" : "Agentic audio models; Customer support scenarios; Flight bookings; Financial services; Telecommunications", "domainList" : [ "agentic-audio-models", "customer-support-scenarios", "flight-bookings", "financial-services", "telecommunications" ], "domainSpecificKnowledge" : [ "Agentic audio models", "Customer support scenarios", "Flight bookings", "Financial services", "Telecommunications" ], "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", "summaryDescription" : "Italian Audio Evaluations Specialist - Freelance AI Trainer Project at Meridial. Evaluate AI models. Audit conversational AI outputs", "postedDate" : "2026-06-14T21:48:11.730", "createdAt" : "2026-06-14T21:48:11.730", "lastUpdated" : "2026-06-16T07:01:14.744", "ingestTimestamp" : "2026-06-14T21:48:11.730", "mongoId" : "6a2c91a774d8ee00a09838c7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Agentic audio models", "Customer support scenarios", "Flight bookings", "Financial services", "Telecommunications" ], "skillCount" : 5, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "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, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "6a306073f292fd229cf8dc78", "title" : "Pavement Condition Index (PCI) Survey & Annotation Specialist – Freelance AI Trainer Project", "company" : "Meridial", "salary" : { "min" : 6.0, "max" : 20.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Worldwide - Remote", "locations" : [ "Worldwide - Remote" ], "timestamp" : "2026-06-16T07:22:37.846", "fingerprint" : "cee893319153a3a26f45d7279ddd48fb28d5a4d98d25442ad9c902aafbdd2fbc", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/agency/jobs/4781824101", "externalId" : "4781824101", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "hardSkillsList" : [ "Pavement condition assessment", "Pavement distress identification" ], "hardSkills" : [ { "name" : "Pavement condition assessment", "level" : "intermediate" }, { "name" : "Pavement distress identification", "level" : "intermediate" } ], "majorSkills" : "PCI surveys, Pavement condition, Annotation tasks", "majorSkillsList" : [ "PCI surveys", "Pavement condition", "Annotation tasks" ], "coreResponsibilities" : "Review roadway images, Review inspection records, Review AI-generated outputs, Determine accuracy of distress types, Determine accuracy of severity levels, Determine accuracy of condition assessments, Annotate pavement features, Validate pavement features, Annotate distress patterns, Validate distress patterns, Analyze roadway imagery, Analyze survey excerpts, Validate AI-generated classifications, Provide written feedback, Clarify inspector distinctions, Clarify sampling unit evaluation, Clarify field condition influence", "domainKnowledge" : "Pavement Condition Index (PCI); Pavement distress types; Pavement severity levels; Pavement condition ratings; Roadway conditions; Infrastructure maintenance planning; Cracking; Rutting; Spalling; Patching; Weathering", "domainList" : [ "pavement-condition-index-pci", "pavement-distress-types", "pavement-severity-levels", "pavement-condition-ratings", "roadway-conditions", "infrastructure-maintenance-planning", "cracking", "rutting", "spalling", "patching", "weathering" ], "domainSpecificKnowledge" : [ "Pavement Condition Index (PCI)", "Pavement distress types", "Pavement severity levels", "Pavement condition ratings", "Roadway conditions", "Infrastructure maintenance planning", "Cracking", "Rutting", "Spalling", "Patching", "Weathering" ], "communicationSkills" : "Written feedback; Explain inspection reasoning; Explain classification decisions", "qualificationsBasic" : "Familiarity with PCI surveys, Attention to visual detail, Ability to apply distress definitions, Ability to apply rating criteria", "qualificationsPreferred" : "Experience with inspection imagery, Experience with condition reports, Experience with roadway maintenance planning", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Are you a pavement professional or roadway inspector with hands-on experience conducting or interpreting Pavement Condition Index (PCI) surveys? Advanced AI systems are being developed to understand roadway conditions, interpret inspection imagery, and support infrastructure maintenance planning. High-quality training data based on real PCI survey practices is essential to ensure these systems accurately recognize pavement distress and condition ratings. This project relies on your expertise to help train and evaluate next-generation AI models. In this project, you will focus specifically on PCI-related workflows and annotation tasks. You will review roadway images, inspection records, and AI-generated outputs to determine whether pavement distress types, severity levels, and condition assessments are accurate and consistent with PCI methodology. A central part of the work involves annotating or validating pavement features and distress patterns so models can better learn to identify cracking, rutting, spalling, patching, weathering, and other common pavement conditions. On a typical day, you may analyze roadway imagery or survey excerpts, validate AI-generated classifications of pavement distress, and provide written feedback explaining where models misidentify features or misinterpret severity levels. You may also help clarify how inspectors distinguish between similar distress categories, how sampling units are evaluated, and how real-world field conditions influence PCI scoring and reporting. This project is well suited for pavement engineers, civil or transportation engineers, DOT specialists, highway inspectors, and other professionals who have conducted or reviewed PCI surveys or pavement condition assessments. Experience working with inspection imagery, condition reports, or roadway maintenance planning is highly valuable. Clear written communication and the ability to explain inspection reasoning and classification decisions in a structured way are essential. No prior AI or technical background is required. Training and project guidelines will be provided. What matters most is your familiarity with PCI surveys, attention to visual detail, and ability to consistently apply pavement distress definitions and rating criteria. We offer a pay range of $6 - $20 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor, you will supply a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply. Job title: Pavement Condition Index (PCI) Survey & Annotation Specialist – Freelance AI Trainer Project Employment type: Freelance / Contract Workplace type: Remote", "summaryDescription" : "Pavement Condition Index (PCI) Survey & Annotation Specialist – Freelance AI Trainer Project at Meridial. Skills: PCI surveys, Pavement condition, Annotation tasks. Review roadway images. Review inspection records", "postedDate" : "2026-06-15T23:29:29.926", "createdAt" : "2026-06-15T23:29:29.926", "lastUpdated" : "2026-06-16T07:22:37.846", "ingestTimestamp" : "2026-06-15T23:29:29.926", "mongoId" : "6a306073f292fd229cf8dc78", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12480, "salaryAnnualMax" : 41600, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Pavement condition assessment", "Pavement distress identification", "PCI surveys", "Pavement condition", "Annotation tasks", "Pavement Condition Index (PCI)", "Pavement distress types", "Pavement severity levels", "Pavement condition ratings", "Roadway conditions", "Infrastructure maintenance planning", "Cracking", "Rutting", "Spalling", "Patching", "Weathering" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "6a306073f292fd229cf8dc77", "title" : "Pavement Condition Index (PCI) Survey & Annotation Specialist – Freelance AI Trainer Project", "company" : "Meridial", "salary" : { "min" : 6.0, "max" : 20.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Worldwide - Remote", "locations" : [ "Worldwide - Remote" ], "timestamp" : "2026-06-16T07:24:40.323", "fingerprint" : "d8b2f9b58bd8a069f5192092c4349eccb8a5307ec082aea6e61391486e695cc6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/agency/jobs/4781816101", "externalId" : "4781816101", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "hardSkillsList" : [ "PCI surveys", "Pavement distress identification", "Condition assessment" ], "hardSkills" : [ { "name" : "PCI surveys", "level" : "intermediate" }, { "name" : "Pavement distress identification", "level" : "intermediate" }, { "name" : "Condition assessment", "level" : "intermediate" } ], "majorSkills" : "PCI surveys, Pavement condition assessment, AI model training", "majorSkillsList" : [ "PCI surveys", "Pavement condition assessment", "AI model training" ], "coreResponsibilities" : "Review roadway images, Review inspection records, Review AI-generated outputs, Determine accuracy of distress types, Determine accuracy of severity levels, Determine accuracy of condition assessments, Annotate pavement features, Validate pavement features, Annotate distress patterns, Validate distress patterns, Analyze roadway imagery, Analyze survey excerpts, Validate AI-generated classifications, Provide written feedback, Clarify inspector distinctions, Clarify sampling unit evaluation, Clarify field condition influence", "domainKnowledge" : "Pavement Condition Index (PCI); Pavement distress types; Pavement severity levels; Pavement condition ratings; Roadway inspection; Infrastructure maintenance planning", "domainList" : [ "pavement-condition-index-pci", "pavement-distress-types", "pavement-severity-levels", "pavement-condition-ratings", "roadway-inspection", "infrastructure-maintenance-planning" ], "domainSpecificKnowledge" : [ "Pavement Condition Index (PCI)", "Pavement distress types", "Pavement severity levels", "Pavement condition ratings", "Roadway inspection", "Infrastructure maintenance planning" ], "communicationSkills" : "Written feedback; Explain inspection reasoning; Explain classification decisions", "qualificationsBasic" : "Familiarity with PCI surveys, Attention to visual detail, Ability to apply distress definitions, Ability to apply rating criteria", "qualificationsPreferred" : "Experience with inspection imagery, Experience with condition reports, Experience with roadway maintenance planning", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Are you a pavement professional or roadway inspector with hands-on experience conducting or interpreting Pavement Condition Index (PCI) surveys? Advanced AI systems are being developed to understand roadway conditions, interpret inspection imagery, and support infrastructure maintenance planning. High-quality training data based on real PCI survey practices is essential to ensure these systems accurately recognize pavement distress and condition ratings. This project relies on your expertise to help train and evaluate next-generation AI models. In this project, you will focus specifically on PCI-related workflows and annotation tasks. You will review roadway images, inspection records, and AI-generated outputs to determine whether pavement distress types, severity levels, and condition assessments are accurate and consistent with PCI methodology. A central part of the work involves annotating or validating pavement features and distress patterns so models can better learn to identify cracking, rutting, spalling, patching, weathering, and other common pavement conditions. On a typical day, you may analyze roadway imagery or survey excerpts, validate AI-generated classifications of pavement distress, and provide written feedback explaining where models misidentify features or misinterpret severity levels. You may also help clarify how inspectors distinguish between similar distress categories, how sampling units are evaluated, and how real-world field conditions influence PCI scoring and reporting. This project is well suited for pavement engineers, civil or transportation engineers, DOT specialists, highway inspectors, and other professionals who have conducted or reviewed PCI surveys or pavement condition assessments. Experience working with inspection imagery, condition reports, or roadway maintenance planning is highly valuable. Clear written communication and the ability to explain inspection reasoning and classification decisions in a structured way are essential. No prior AI or technical background is required. Training and project guidelines will be provided. What matters most is your familiarity with PCI surveys, attention to visual detail, and ability to consistently apply pavement distress definitions and rating criteria. We offer a pay range of $6 - $20 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor, you will supply a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply. Job title: Pavement Condition Index (PCI) Survey & Annotation Specialist – Freelance AI Trainer Project Employment type: Freelance / Contract Workplace type: Remote", "summaryDescription" : "Pavement Condition Index (PCI) Survey & Annotation Specialist – Freelance AI Trainer Project at Meridial. Skills: PCI surveys, Pavement condition assessment, AI model training. Review roadway images. Review inspection records", "postedDate" : "2026-06-15T23:28:37.251", "createdAt" : "2026-06-15T23:28:37.251", "lastUpdated" : "2026-06-16T07:24:40.323", "ingestTimestamp" : "2026-06-15T23:28:37.251", "mongoId" : "6a306073f292fd229cf8dc77", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12480, "salaryAnnualMax" : 41600, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "PCI surveys", "Pavement distress identification", "Condition assessment", "Pavement condition assessment", "AI model training", "Pavement Condition Index (PCI)", "Pavement distress types", "Pavement severity levels", "Pavement condition ratings", "Roadway inspection", "Infrastructure maintenance planning" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 } ], "status" : 200, "message" : "language alignment resource partner arabic freelance ai trainer project jobs", "metadata" : { "title" : "language alignment resource partner arabic freelance ai trainer project" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 34405, "totalPages" : 689, "hasNext" : true, "hasPrevious" : false } }

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