{ "count" : 53756, "data" : [ { "id" : "6a306072f292fd229cf8dc2d", "title" : "Literature Specialist – Freelance AI Trainer Project", "company" : "Meridial", "industry" : "Technology", "salary" : { "min" : 6.0, "max" : 65.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Worldwide - Remote", "locations" : [ "Worldwide - Remote" ], "timestamp" : "2026-06-16T06:34:18.133", "fingerprint" : "8f56e74b91c8b6a7697a733f1d642c1539a7a288af548ee817d65f77ffc73676", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/agency/jobs/4784881101", "externalId" : "4784881101", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry Level", "hardSkillsList" : [ "Literary analysis", "Textual analysis", "Thematic interpretation", "Narrative structure analysis", "Authorial style analysis", "Symbolism analysis", "Historical context analysis", "Genre convention analysis", "Close reading analysis" ], "hardSkills" : [ { "name" : "Literary analysis", "level" : "intermediate" }, { "name" : "Textual analysis", "level" : "intermediate" }, { "name" : "Thematic interpretation", "level" : "intermediate" }, { "name" : "Narrative structure analysis", "level" : "intermediate" }, { "name" : "Authorial style analysis", "level" : "intermediate" }, { "name" : "Symbolism analysis", "level" : "intermediate" }, { "name" : "Historical context analysis", "level" : "intermediate" }, { "name" : "Genre convention analysis", "level" : "intermediate" }, { "name" : "Close reading analysis", "level" : "intermediate" } ], "majorSkills" : "Literary expertise, AI training, Language model evaluation", "majorSkillsList" : [ "Literary expertise", "AI training", "Language model evaluation" ], "coreResponsibilities" : "Challenge language models, Document failure modes, Engage model with passages, Engage model with questions, Engage model with interpretations, Verify factual accuracy, Evaluate literary capture depth, Evaluate literary capture validity, Reproduce errors, Provide structured feedback", "domainKnowledge" : "Classical literature; Modern fiction; Contemporary fiction; Poetry; Drama; Literary theory; Comparative literature; Critical analysis", "domainList" : [ "classical-literature", "modern-fiction", "contemporary-fiction", "poetry", "drama", "literary-theory", "comparative-literature", "critical-analysis" ], "domainSpecificKnowledge" : [ "Classical literature", "Modern fiction", "Contemporary fiction", "Poetry", "Drama", "Literary theory", "Comparative literature", "Critical analysis" ], "communicationSkills" : "Articulating reasoning; Articulating interpretive steps", "documentationSkills" : "Documenting failure modes", "problemSolvingSkills" : "Strengthen model reasoning; Improve interpretive accuracy", "specialRequirements" : "Supply secure computer", "qualificationsBasic" : "Degree in literature, Degree in English, Degree in comparative literature, Degree in related humanities field, Clear communication, Metacognitive communication, Articulate reasoning, Articulate interpretive steps", "qualificationsPreferred" : "Degree in literature preferred, Degree in English preferred, Degree in comparative literature preferred, Degree in related humanities field preferred, Teaching experience, Academic research, Editorial work, Extensive reading experience, Extensive writing experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Are you a literature expert eager to shape the future of AI? Large-scale language models are evolving from simple conversational tools into systems capable of analyzing texts, interpreting themes, and supporting literary scholarship. With high-quality training data, tomorrow’s AI can help democratize access to literary analysis, support education, and deepen understanding of world literature. That training data begins with you—we need your expertise to help power the next generation of AI. We’re looking for literature specialists and avid readers with strong familiarity in areas such as classical literature, modern and contemporary fiction, poetry, drama, literary theory, comparative literature, and critical analysis. You’ll challenge advanced language models on topics such as thematic interpretation, narrative structure, authorial style, symbolism, historical context, genre conventions, and close reading—documenting failure modes so we can strengthen model reasoning and interpretive accuracy. On a typical day, you will engage the model with literary passages, analytical questions, and interpretation tasks; verify factual accuracy and coherence; evaluate the depth and validity of literary analysis; capture reproducible error traces; and provide structured feedback to improve prompts, evaluation criteria, and reasoning quality. A degree in literature, English, comparative literature, or a related humanities field is preferred but not required. Teaching experience, academic research, editorial work, or extensive reading and writing experience are all valuable indicators of fit. Clear, metacognitive communication—explicitly articulating reasoning and interpretive steps (“showing your work”)—is essential. Ready to turn your literature expertise into the knowledge foundation for tomorrow’s AI? Apply today and help train systems that support readers, students, and scholars around the world. 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: Literature Specialist – Freelance AI Trainer Project Employment type: Freelance / Contract Workplace type: Remote Seniority level: Entry Level", "summaryDescription" : "Literature Specialist – Freelance AI Trainer Project at Meridial. Skills: Literary expertise, AI training, Language model evaluation. Challenge language models. Document failure modes", "postedDate" : "2026-06-15T23:22:23.224", "createdAt" : "2026-06-15T23:22:23.224", "lastUpdated" : "2026-06-16T06:34:18.133", "ingestTimestamp" : "2026-06-15T23:22:23.224", "mongoId" : "6a306072f292fd229cf8dc2d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12480, "salaryAnnualMax" : 135200, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Literary analysis", "Textual analysis", "Thematic interpretation", "Narrative structure analysis", "Authorial style analysis", "Symbolism analysis", "Historical context analysis", "Genre convention analysis", "Close reading analysis", "Literary expertise", "AI training", "Language model evaluation", "Classical literature", "Modern fiction", "Contemporary fiction", "Poetry", "Drama", "Literary theory", "Comparative literature", "Critical analysis" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 475.39743, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "6a306072f292fd229cf8dc08", "title" : "Investment 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" : "2026-06-16T09:05:46.503", "fingerprint" : "1b30b876eb9faa8f7fc01fb8eb29f7e349382f68fc654931cfb67c868cd44c66", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/agency/jobs/4784904101", "externalId" : "4784904101", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry Level", "professionalSkills" : [ "Investment strategies", "Portfolio management", "Asset allocation", "Derivatives", "Valuation methods", "Financial modeling", "Risk management", "Behavioral finance", "Macroeconomic influences", "Fundamental analysis", "Technical analysis", "Diversification strategies", "Market cycles", "Performance evaluation", "Investment research" ], "majorSkills" : "AI training, Financial analysis", "majorSkillsList" : [ "AI training", "Financial analysis" ], "coreResponsibilities" : "Engage model with investment scenarios, Engage model with analytical questions, Engage model with market-based reasoning, Verify factual correctness, Verify financial validity, Assess investment validity, Capture reproducible errors, Provide structured feedback, Improve prompts, Improve evaluation frameworks, Improve analytical depth, Identify model oversimplification, Identify model misinterpretation", "domainKnowledge" : "Equity markets; Fixed-income markets; Financial markets; Asset classes; Market behavior; Financial data", "domainList" : [ "equity-markets", "fixed-income-markets", "financial-markets", "asset-classes", "market-behavior", "financial-data" ], "domainSpecificKnowledge" : [ "Equity markets", "Fixed-income markets", "Financial markets", "Asset classes", "Market behavior", "Financial data" ], "communicationSkills" : "Metacognitive communication", "documentationSkills" : "Documenting failure modes", "specialRequirements" : "Supply secure computer", "qualificationsBasic" : "Foundational knowledge of investments, Analytical skills", "qualificationsPreferred" : "Background in finance, Background in economics, Background in accounting, Background in business, Experience in asset management, Experience in brokerage, Experience in research, Experience in financial planning", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Are you knowledgeable about investments and eager to shape the future of AI? Large-scale language models are evolving from simple conversational tools into systems capable of analyzing financial markets, interpreting investment strategies, and supporting decision-making across asset classes. With high-quality training data, tomorrow’s AI can help improve financial literacy, strengthen portfolio analysis, and support investors and analysts worldwide. 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 equity and fixed-income markets, portfolio management, asset allocation, derivatives, valuation methods, financial modeling, risk management, behavioral finance, and macroeconomic influences on markets. You’ll challenge advanced language models on topics such as fundamental and technical analysis, portfolio construction, diversification strategies, market cycles, performance evaluation, and investment research—documenting failure modes so we can strengthen model reasoning and analytical accuracy. On a typical day, you will engage the model with investment scenarios, analytical questions, and market-based reasoning tasks; verify factual correctness and financial logic; assess the validity of investment 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 market behavior or misinterpret financial data. A background in finance, economics, accounting, business, or a related field is preferred but not required. Experience in asset management, brokerage, research, financial planning, or related roles is valuable, and entry-level candidates with foundational knowledge of investments 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 knowledge of investments into the knowledge foundation for tomorrow’s AI? Apply today and help train systems that support investors, analysts, and financial professionals 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. 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Large-scale language models are evolving from simple conversational tools into systems capable of interpreting historical texts, analyzing belief systems, and supporting comparative and cultural understanding. With high-quality training data, tomorrow’s AI can help improve religious literacy, support education, and provide more accurate cultural and historical context. 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 world religions, theology, religious history, philosophy of religion, comparative religion, sacred texts, and cultural or anthropological perspectives on belief systems. You’ll challenge advanced language models on topics such as interpretation of religious texts, historical context, doctrinal differences, ethical frameworks, religious practices, and interfaith perspectives—documenting failure modes so we can strengthen model reasoning and cultural accuracy. 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. Ready to turn your knowledge of religion into the knowledge foundation for tomorrow’s AI? Apply today and help train systems that support education, cultural understanding, and responsible interpretation of complex topics. 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: Religion Specialist – Freelance AI Trainer Project Employment type: Freelance / Contract Workplace type: Remote Seniority level: Entry Level", "summaryDescription" : "Religion Specialist – Freelance AI Trainer Project at Meridial. Skills: Religious studies, Theology, Religious history, Philosophy of religion, Comparative religion, Sacred texts, Cultural perspectives, Anthropological perspectives. Engage model with scenarios. Engage model with questions", "postedDate" : "2026-06-15T23:28:22.122", "createdAt" : "2026-06-15T23:28:22.122", "lastUpdated" : "2026-06-16T07:05:36.793", "ingestTimestamp" : "2026-06-15T23:28:22.122", "mongoId" : "6a306073f292fd229cf8dca2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12480, "salaryAnnualMax" : 135200, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Religious text interpretation", "Historical context analysis", "Doctrinal difference analysis", "Ethical framework analysis", "Religious practice analysis", "Interfaith perspective analysis", "Religious studies", "Theology", "Religious history", "Philosophy of religion", "Comparative religion", "Sacred texts", "Cultural perspectives", "Anthropological perspectives", "World religions" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 469.3534, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "6a3086f2f292fd229c0848d1", "title" : "Online Content Specialist", "company" : "Black Canyon Consulting", "industry" : "Government", "salary" : { "min" : 58000.0, "max" : 78000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a Junior Online Content Specialist in Bethesda, United States, with adjustments for the healthcare industry and company size." }, "location" : "Bethesda, Maryland, United States", "locations" : [ "Bethesda", "Maryland", "United States" ], "timestamp" : "2026-06-16T10:55:05.662", "fingerprint" : "afb66de0d15b9083c2899b14d33754aa68c58661b4e5caba86c4d4a8069429b7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/blackcanyonconsulting/jobs/4965480003", "externalId" : "4965480003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bethesda", "state" : "Maryland", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9812726,-77.1233587" } ], "locationText" : "Bethesda, Maryland, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "technicalSkills" : "XML, HTML, UNIX, Linux", "professionalSkills" : [ "Customer service", "Data analysis", "Project management" ], "hardSkillsList" : [ "Content evaluation", "Content processing", "Content troubleshooting" ], "hardSkills" : [ { "name" : "Content evaluation", "level" : "intermediate" }, { "name" : "Content processing", "level" : "intermediate" }, { "name" : "Content troubleshooting", "level" : "intermediate" } ], "majorSkills" : "Content management, Publisher liaison, Data evaluation", "majorSkillsList" : [ "Content management", "Publisher liaison", "Data evaluation" ], "coreResponsibilities" : "Track incoming content, Evaluate XML submissions, Provide customer service, Handle Help Desk queries, Provide input on article display, Communicate with publishers, Facilitate project needs assessments, Process and evaluate content, Check accuracy and integrity of source data, Check online presentation of content, Conduct data analysis, Troubleshoot programming issues, Troubleshoot content-related issues, Serve as a liaison", "teamCollaboration" : "Liaising with journal publishers; Liaising with data providers; Liaising with PMC users; Liaising with NLM staff; Work with developers", "projectManagementSkills" : [ "Managing multiple projects" ], "domainKnowledge" : "Publishing; Library science; Electronic journals; Electronic books; PubMed Central; NCBI; NLM; MARC; RDA; ISSN Centre", "domainList" : [ "publishing", "library-science", "electronic-journals", "electronic-books", "pubmed-central", "ncbi", "nlm", "marc", "rda", "issn-centre" ], "domainSpecificKnowledge" : [ "Publishing", "Library science", "Electronic journals", "Electronic books", "PubMed Central", "NCBI", "NLM", "MARC", "RDA", "ISSN Centre" ], "toolProficiency" : [ "Adobe Photoshop" ], "communicationSkills" : "Technical communication; Non-technical communication", "continuousLearning" : "Tuition reimbursement; Conference reimbursement", "problemSolvingSkills" : "Troubleshooting", "qualificationsBasic" : "Bachelor’s degree, Two years experience in publishing or library science environment, Familiarity with online publications, Ability to communicate technical and non-technical information effectively, Ability to conduct data analysis, Ability to work with complex, detailed information, Knowledge of XML and/or HTML, Excellent organizational skills, At least one item from the “Desired Skills” list", "qualificationsPreferred" : "Experience managing production workflow of an online publication, Expertise with electronic image formats, Experience with image creation software, Experience editing journal or book content, Experience in journal or book production, Experience with UNIX/Linux in a data production environment, Experience with bibliographic cataloging metadata", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Online Content Specialist Black Canyon Consulting (BCC) is searching for Online Content Specialist to support our work at the National Institutes of Health (NIH) in Bethesda, MD. The Online Content Specialist will be a member of the PubMed Central (PMC) Production Team at the National Center for Biotechnology Information (NCBI) and will be responsible for liaising with journal publishers, data providers, PMC users, and the National Library of Medicine (NLM) staff. General duties will include evaluating XML submissions, providing customer service to PMC content providers, handling Help Desk queries, and providing input on the PMC article display. We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition and conference reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today! General Qualifications Minimum Education Requirement: Bachelor’s degree. Two years experience in publishing or library science environment. Familiarity with online publications, specifically electronic journals or books. Positive attitude; displays flexibility and patience in a high-volume, customer service-focused, environment. Comfortable managing multiple projects simultaneously. Required Skills Ability to communicate technical and non-technical information effectively to publishers, developers, users, and data providers. Ability to conduct data analysis and work with developers to implement solutions. Ability to work with complex, detailed information. Knowledge of XML and/or HTML. Excellent verbal and written communication skills. Excellent organizational skills. At least one item from the “Desired Skills” list. Desired Skills Experience managing production workflow of an online publication. Expertise with electronic image formats (TIFF, GIF, JPEG, EPS, PNG) and with image creation software (for example, Adobe Photoshop). Experience editing journal or book content or in journal or book production. Experience with UNIX/Linux in a data production environment. Experience with bibliographic cataloging metadata (MARC, RDA, ISSN Centre) Job Responsibilities Track incoming content and the progress of work on multiple projects in development or production stages. Communicate with publishers, content providers, help desks, and colleagues to facilitate project needs assessments. Process and evaluate content using web-based tools and UNIX scripts. Check accuracy and integrity of source data and online presentation of content. Conduct data analysis and troubleshoot errors; coordinate with appropriate personnel to solve programming and content-related issues. Serve as a liaison between authors, publishers, and/or vendors and the NLM. Benefits and Salary We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement. We offer a competitive salary commensurate with experience and location. If you enjoy being a part of a high-performing, professional service and technology-focused organization, please apply today!", "summaryDescription" : "Online Content Specialist at Black Canyon Consulting. Skills: Content management, Publisher liaison, Data evaluation. Track incoming content. Evaluate XML submissions", "postedDate" : "2026-06-16T01:20:54.016", "createdAt" : "2026-06-16T01:20:54.016", "lastUpdated" : "2026-06-16T10:55:05.662", "ingestTimestamp" : "2026-06-16T01:20:54.016", "mongoId" : "6a3086f2f292fd229c0848d1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 58000, "salaryAnnualMax" : 78000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Content evaluation", "Content processing", "Content troubleshooting", "Content management", "Publisher liaison", "Data evaluation", "Customer service", "Data analysis", "Project management", "Managing multiple projects", "Publishing", "Library science", "Electronic journals", "Electronic books", "PubMed Central", "NCBI", "NLM", "MARC", "RDA", "ISSN Centre", "Adobe Photoshop" ], "skillCount" : 21, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 450.51328, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.92 }, { "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, "_score" : 440.4862, "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, "_score" : 438.5204, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.92 }, { "id" : "6a306072f292fd229cf8dc49", "title" : "Mathematics Specialist (Fluent in German) - Freelance Trainer Project", "company" : "Meridial", "industry" : "Education", "salary" : { "min" : 6.0, "max" : 65.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Worldwide - Remote", "locations" : [ "Worldwide - Remote" ], "timestamp" : "2026-06-16T06:57:05.288", "fingerprint" : "da19e5499992efd95626d3aaa55dd8deddaf4fd0768d1dd05e87ddc5df5df041", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/agency/jobs/4757282101", "externalId" : "4757282101", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "minimumEducation" : "Master's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid-Senior Level", "technicalSkills" : "Algebra, Calculus, Number theory, Linear algebra, Differential equations, Statistics, Geometry, Mathematical logic, Discrete mathematics, Real analysis, Complex analysis, Optimization theory, Probability distributions, Cryptographic algorithms, Applied mathematics", "professionalSkills" : [ "Prompt engineering", "Evaluation metrics" ], "hardSkillsList" : [ "Mathematical modeling" ], "hardSkills" : [ { "name" : "Mathematical modeling", "level" : "intermediate" } ], "majorSkills" : "Mathematics, AI training", "majorSkillsList" : [ "Mathematics", "AI training" ], "coreResponsibilities" : "Challenge advanced language models, Document every failure mode, Harden model reasoning, Converse with the model, Verify factual accuracy, Verify logical soundness, Suggest improvements to prompt engineering, Suggest improvements to evaluation metrics", "domainKnowledge" : "Large-scale language models; AI; Mathematical proofs; Set theory", "domainList" : [ "large-scale-language-models", "ai", "mathematical-proofs", "set-theory" ], "domainSpecificKnowledge" : [ "Large-scale language models", "AI", "Mathematical proofs", "Set theory" ], "communicationSkills" : "Metacognitive communication", "documentationSkills" : "Documenting failure modes", "problemSolvingSkills" : "Mathematical reasoning", "specialRequirements" : "Supply secure computer, High-speed internet", "outcomesObjectives" : "Power the next generation of AI; Teach the model that will teach the world", "qualificationsBasic" : "Master's or PhD in mathematics, Fluent in German", "qualificationsPreferred" : "Peer-reviewed publications, Teaching experience, Research in pure or applied mathematics, Hands-on experience with mathematical modeling, PhD preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Are you a mathematics expert fluent in German, eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow’s AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline academic work for students and professionals everywhere. That training data begins with you—we need your expertise to help power the next generation of AI. We’re looking for mathematics specialists who live and breathe algebra, calculus, number theory, linear algebra, differential equations, statistics, geometry, mathematical logic, and discrete mathematics. You’ll challenge advanced language models on topics like real and complex analysis, optimization theory, mathematical proofs, set theory, probability distributions, cryptographic algorithms, and applied mathematics—documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on classroom problems and theoretical mathematics questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A master’s or PhD in mathematics or a closely related quantitative field is ideal; peer‑reviewed publications, teaching experience, research in pure or applied mathematics, or hands‑on experience with mathematical modeling signal fit. Clear, metacognitive communication—“showing your work”—is essential. Ready to turn your mathematics expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world. 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: Mathematics Specialist (Fluent in German) – AI Trainer Employment type: Contract Workplace type: Remote Seniority level: Mid‑Senior Level", "summaryDescription" : "Mathematics Specialist (Fluent in German) - Freelance Trainer Project at Meridial. Skills: Mathematics, AI training. Challenge advanced language models. Document every failure mode", "postedDate" : "2026-06-15T23:23:12.065", "createdAt" : "2026-06-15T23:23:12.065", "lastUpdated" : "2026-06-16T06:57:05.288", "ingestTimestamp" : "2026-06-15T23:23:12.065", "mongoId" : "6a306072f292fd229cf8dc49", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12480, "salaryAnnualMax" : 135200, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Mathematical modeling", "Mathematics", "AI training", "Prompt engineering", "Evaluation metrics", "Large-scale language models", "AI", "Mathematical proofs", "Set theory" ], "skillCount" : 9, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 430.07635, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "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, "_score" : 425.71887, "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, "_score" : 400.87228, "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, "_score" : 400.82535, "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, "_score" : 400.78357, "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. 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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, "_score" : 400.68793, "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. 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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, "_score" : 400.60654, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.85 }, { "id" : "6a17717b58b93c861ee74697", "title" : "Online Ordering Specialist - Freelance Project", "company" : "Invisible Agency", "location" : "Worldwide - Remote", "locations" : [ "Worldwide - Remote" ], "timestamp" : "2026-05-28T00:44:23.908", "fingerprint" : "de31cb3de3951b31fcd91aa7512f306318a8ecccaef9b9d92d14e8a7fa339187", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/agency/jobs/4876912101", "externalId" : "4876912101", "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "technicalSkills" : "Google My Business, Google Food Ordering", "professionalSkills" : [ "Online Ordering Implementation" ], "majorSkills" : "Online Ordering, Implementation, Technical Consultation", "majorSkillsList" : [ "Online Ordering", "Implementation", "Technical Consultation" ], "coreResponsibilities" : "Guide merchants through setup, Ensure correct integration", "domainKnowledge" : "Digital Commerce", "domainList" : [ "digital-commerce" ], "domainSpecificKnowledge" : [ "Digital Commerce" ], "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Project Overview We are sourcing independent Online Ordering Implementation Experts to provide onboarding and technical consultation for a digital commerce project. As restaurants and merchants increasingly adopt direct, commission-free online ordering platforms, their success depends on seamless integration and brand consistency. The objective of this project is to autonomously guide merchants through the setup of their Online Ordering pages, ensuring correct integration with their existing websites, Google My Business (GMB), and Google Food Ordering (GFO). Project Deliverables company‑sponsored benefits such as health insurance and PTO do not apply. Engagement Type: Freelance / Independent Contractor Workplace Type: Remote", "summaryDescription" : "Online Ordering Specialist - Freelance Project at Invisible Agency. Skills: Online Ordering, Implementation, Technical Consultation. Guide merchants through setup. Ensure correct integration", "postedDate" : "2026-05-28T00:38:09.198", "createdAt" : "2026-05-28T00:38:09.198", "lastUpdated" : "2026-05-28T00:44:23.908", "ingestTimestamp" : "2026-05-28T00:38:09.198", "mongoId" : "6a17717b58b93c861ee74697", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Online Ordering", "Implementation", "Technical Consultation", "Online Ordering Implementation", "Digital Commerce" ], "skillCount" : 5, "jobCategory" : "other", "jobSubcategory" : "business-&-professions", "dataQualityScore" : 0.7777778, "_score" : 385.67584, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a174aab58b93c861ed945e8", "title" : "Online Ordering Specialist - Freelance Project", "company" : "Invisible Agency", "location" : "Worldwide - Remote", "locations" : [ "Worldwide - Remote" ], "timestamp" : "2026-05-27T22:40:19.278", "fingerprint" : "8b74b08fcd50cd523b5016b41ca034cfa978078248ab6529c8f3ceec1bf98a6a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/agency/jobs/4876907101", "externalId" : "4876907101", "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "technicalSkills" : "Google My Business, Google Food Ordering", "professionalSkills" : [ "Online Ordering Implementation" ], "majorSkills" : "Online Ordering, Implementation, Technical Consultation", "majorSkillsList" : [ "Online Ordering", "Implementation", "Technical Consultation" ], "coreResponsibilities" : "Guide merchants through setup, Ensure correct integration", "domainKnowledge" : "Digital Commerce", "domainList" : [ "digital-commerce" ], "domainSpecificKnowledge" : [ "Digital Commerce" ], "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Project Overview We are sourcing independent Online Ordering Implementation Experts to provide onboarding and technical consultation for a digital commerce project. 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Ensure correct integration", "postedDate" : "2026-05-27T22:38:20.580", "createdAt" : "2026-05-27T22:38:20.580", "lastUpdated" : "2026-05-27T22:40:19.278", "ingestTimestamp" : "2026-05-27T22:38:20.580", "mongoId" : "6a174aab58b93c861ed945e8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Online Ordering", "Implementation", "Technical Consultation", "Online Ordering Implementation", "Digital Commerce" ], "skillCount" : 5, "jobCategory" : "other", "jobSubcategory" : "business-&-professions", "dataQualityScore" : 0.7777778, "_score" : 385.67236, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a174aab58b93c861ed945e7", "title" : "Online Ordering Specialist - Freelance Project", "company" : "Invisible Agency", "location" : "Worldwide - Remote", "locations" : [ "Worldwide - Remote" ], "timestamp" : "2026-05-27T22:39:53.276", "fingerprint" : "3a72de45fc4ef4c2551ec08b9bc072a25026a36956a2434c53d2ef11e2243d17", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/agency/jobs/4876908101", "externalId" : "4876908101", "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "technicalSkills" : "Google My Business, Google Food Ordering", "professionalSkills" : [ "Online Ordering Implementation" ], "majorSkills" : "Online Ordering, Implementation, Technical Consultation", "majorSkillsList" : [ "Online Ordering", "Implementation", "Technical Consultation" ], "coreResponsibilities" : "Guide merchants through setup, Ensure correct integration", "domainKnowledge" : "Digital Commerce", "domainList" : [ "digital-commerce" ], "domainSpecificKnowledge" : [ "Digital Commerce" ], "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Project Overview We are sourcing independent Online Ordering Implementation Experts to provide onboarding and technical consultation for a digital commerce project. As restaurants and merchants increasingly adopt direct, commission-free online ordering platforms, their success depends on seamless integration and brand consistency. The objective of this project is to autonomously guide merchants through the setup of their Online Ordering pages, ensuring correct integration with their existing websites, Google My Business (GMB), and Google Food Ordering (GFO). Project Deliverables company‑sponsored benefits such as health insurance and PTO do not apply. Engagement Type: Freelance / Independent Contractor Workplace Type: Remote", "summaryDescription" : "Online Ordering Specialist - Freelance Project at Invisible Agency. Skills: Online Ordering, Implementation, Technical Consultation. Guide merchants through setup. Ensure correct integration", "postedDate" : "2026-05-27T22:37:59.382", "createdAt" : "2026-05-27T22:37:59.382", "lastUpdated" : "2026-05-27T22:39:53.276", "ingestTimestamp" : "2026-05-27T22:37:59.382", "mongoId" : "6a174aab58b93c861ed945e7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Online Ordering", "Implementation", "Technical Consultation", "Online Ordering Implementation", "Digital Commerce" ], "skillCount" : 5, "jobCategory" : "other", "jobSubcategory" : "business-&-professions", "dataQualityScore" : 0.7777778, "_score" : 385.67236, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a174aab58b93c861ed945ea", "title" : "Online Ordering Specialist - Freelance Project", "company" : "Invisible Agency", "location" : "Worldwide - Remote", "locations" : [ "Worldwide - Remote" ], "timestamp" : "2026-05-27T22:39:39.180", "fingerprint" : "3b0ccbd7961ea40c5d9a1cb6636def608dcbed76afaa2ee1730f4b498f4fc9ae", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/agency/jobs/4876903101", "externalId" : "4876903101", "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "professionalSkills" : [ "Online Ordering Implementation" ], "majorSkills" : "Online Ordering, Implementation, Technical Consultation", "majorSkillsList" : [ "Online Ordering", "Implementation", "Technical Consultation" ], "coreResponsibilities" : "Guide merchants through setup, Ensure correct integration with websites, Ensure correct integration with Google My Business, Ensure correct integration with Google Food Ordering", "domainKnowledge" : "Digital Commerce; Direct Online Ordering Platforms", "domainList" : [ "digital-commerce", "direct-online-ordering-platforms" ], "domainSpecificKnowledge" : [ "Digital Commerce", "Direct Online Ordering Platforms" ], "toolProficiency" : [ "Google My Business", "Google Food Ordering" ], "outcomesObjectives" : "Seamless integration; Brand consistency", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Project Overview We are sourcing independent Online Ordering Implementation Experts to provide onboarding and technical consultation for a digital commerce project. As restaurants and merchants increasingly adopt direct, commission-free online ordering platforms, their success depends on seamless integration and brand consistency. The objective of this project is to autonomously guide merchants through the setup of their Online Ordering pages, ensuring correct integration with their existing websites, Google My Business (GMB), and Google Food Ordering (GFO). Project Deliverables company‑sponsored benefits such as health insurance and PTO do not apply. Engagement Type: Freelance / Independent Contractor Workplace Type: Remote", "summaryDescription" : "Online Ordering Specialist - Freelance Project at Invisible Agency. Skills: Online Ordering, Implementation, Technical Consultation. Guide merchants through setup. Ensure correct integration with websites", "postedDate" : "2026-05-27T22:36:10.227", "createdAt" : "2026-05-27T22:36:10.227", "lastUpdated" : "2026-05-27T22:39:39.180", "ingestTimestamp" : "2026-05-27T22:36:10.227", "mongoId" : "6a174aab58b93c861ed945ea", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Online Ordering", "Implementation", "Technical Consultation", "Online Ordering Implementation", "Digital Commerce", "Direct Online Ordering Platforms", "Google My Business", "Google Food Ordering" ], "skillCount" : 8, "jobCategory" : "other", "jobSubcategory" : "business-&-professions", "dataQualityScore" : 0.7777778, "_score" : 384.87006, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2c91a874d8ee00a09839ca", "title" : "Welsh Audio Specialist - Freelance AI Trainer Project", "company" : "Meridial", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-Senior Level AI Trainer in the Technology industry, adjusted for a remote, contract role." }, "location" : "Worldwide - Remote", "locations" : [ "Worldwide - Remote" ], "timestamp" : "2026-06-16T06:05:47.131", "fingerprint" : "9c5e2044bfa32388a62a8af7cfbca768631f4a9f263375889393860749ce1f77", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/agency/jobs/4896017101", "externalId" : "4896017101", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid-Senior Level", "coreResponsibilities" : "Produce evaluation tasks, Audit conversational AI outputs, Generate datasets, Optimize model performance", "domainKnowledge" : "Agentic audio models; Customer support scenarios", "domainList" : [ "agentic-audio-models", "customer-support-scenarios" ], "domainSpecificKnowledge" : [ "Agentic audio models", "Customer support scenarios" ], "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Project Overview We are sourcing independent Audio Evaluation Specialists for an AI benchmark evaluation project assessing advanced agentic audio models. As AI models increasingly handle complex workflows in this domain—specifically real-world customer support scenarios like flight bookings, financial services, and telecommunications—their accuracy relies entirely on robust, expert-crafted training data. The objective of this project is to autonomously produce high-quality evaluation tasks through simulated interactions, audit conversational AI outputs, and generate clean, reliable datasets to optimize model performance. Project Deliverables company‑sponsored benefits such as health insurance and PTO do not apply. Engagement Type: Freelance / Independent Contractor Workplace Type: Remote Seniority Level: Mid-Senior Level", "summaryDescription" : "Welsh Audio Specialist - Freelance AI Trainer Project at Meridial. Produce evaluation tasks. Audit conversational AI outputs", "postedDate" : "2026-06-14T20:45:30.134", "createdAt" : "2026-06-14T20:45:30.134", "lastUpdated" : "2026-06-16T06:05:47.131", "ingestTimestamp" : "2026-06-14T20:45:30.134", "mongoId" : "6a2c91a874d8ee00a09839ca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Agentic audio models", "Customer support scenarios" ], "skillCount" : 2, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 376.0661, "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, "_score" : 367.19406, "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, "_score" : 364.0442, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305118f292fd229cef9a79", "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" : "Saudi Arabia", "locations" : [ "Saudi Arabia" ], "timestamp" : "2026-06-16T12:21:28.116", "fingerprint" : "8e9332caadf6c3d4e33f82042f104ded9cc7630b4d4aacc7920085e5ab161afe", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/f1d11638-a3d4-457b-819b-d5655bbc2e47/apply", "externalId" : "f1d11638-a3d4-457b-819b-d5655bbc2e47", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "CONTRACT", "technicalSkills" : "JSON", "professionalSkills" : [ "Role-play evaluation", "Conversational performance audit", "Technical reasoning assessment" ], "hardSkillsList" : [ "Qualitative metrics", "Quantitative metrics", "Data integrity" ], "hardSkills" : [ { "name" : "Qualitative metrics", "level" : "intermediate" }, { "name" : "Quantitative metrics", "level" : "intermediate" }, { "name" : "Data integrity", "level" : "intermediate" } ], "majorSkills" : "AI evaluation, Audio datasets", "majorSkillsList" : [ "AI evaluation", "Audio datasets" ], "coreResponsibilities" : "Design role-play evaluation scenarios, Evaluate AI-generated audio outputs, Audit conversational performance, Assess technical reasoning in AI outputs, Contribute to audio datasets creation, Refine audio datasets, Follow evaluation guidelines, Produce evaluation outputs", "domainKnowledge" : "Customer support interactions; Travel domain; Finance domain; Technical services domain; JSON structures; Support workflows; Conversational AI", "domainList" : [ "customer-support-interactions", "travel-domain", "finance-domain", "technical-services-domain", "json-structures", "support-workflows", "conversational-ai" ], "domainSpecificKnowledge" : [ "Customer support interactions", "Travel domain", "Finance domain", "Technical services domain", "JSON structures", "Support workflows", "Conversational AI" ], "communicationSkills" : "Spoken French; Written French; Listening French; Reading French", "documentationSkills" : "Well-documented outputs", "qualificationsBasic" : "Native or bilingual proficiency 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, Analytical skills, Basic understanding of programming concepts, High attention to detail, Ability to work with structured evaluation rubrics, Communication skills, Ability to conduct realistic role-play simulations, Reliable access to high-quality microphone, Stable internet connection, Comfortable working independently", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Design and execute complex role-play evaluation scenarios simulating real customer support interactions in domains such as travel, finance, and technical services. Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio datasets. 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). 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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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Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio datasets. Design role-play evaluation scenarios. 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Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio evaluation, Linguistics. 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. 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, 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, 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 evaluation, 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: Audio evaluation, AI training, 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: 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, Conversational AI. 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). 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, Audio evaluation, Role-play simulation. Design role-play evaluation scenarios. 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Travel domain; Finance domain; Technical services domain; JSON structures; Support workflows", "domainList" : [ "customer-support-interactions", "travel-domain", "finance-domain", "technical-services-domain", "json-structures", "support-workflows" ], "domainSpecificKnowledge" : [ "Customer support interactions", "Travel domain", "Finance domain", "Technical services domain", "JSON structures", "Support workflows" ], "communicationSkills" : "Spoken French; Written French; Listening French; Reading French; Role-play simulations", "documentationSkills" : "Well-documented outputs", "problemSolvingSkills" : "Analytical skills", "specialRequirements" : "High-quality microphone, Stable internet connection", "outcomesObjectives" : "Ensure consistency; Ensure reliability; Ensure data integrity; Produce accurate outputs; Produce high-quality 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, Basic understanding of programming concepts, High attention to detail, Ability to work with structured evaluation rubrics, Ability to work with structured guidelines, Communication skills, Ability to conduct realistic role-play simulations, Ability to 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: AI evaluation, Audio evaluation, French language proficiency. Design role-play evaluation scenarios. 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Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio evaluation, 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 evaluation, French language proficiency. 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, "_score" : 362.11508, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305118f292fd229cef9a5d", "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" : "Canada", "locations" : [ "Canada" ], "timestamp" : "2026-06-16T14:09:35.534", "fingerprint" : "61858b220b4c0665f6be5c41fbedc6a156f2cfa46c0f91e7e63576504a923757", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/01613beb-d1c8-4c7c-ad87-ea653821db4f/apply", "externalId" : "01613beb-d1c8-4c7c-ad87-ea653821db4f", "industryFunction" : { }, "structuredLocations" : [ { "continent" : "na", "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "technicalSkills" : "JSON", "professionalSkills" : [ "Conversational quality assessment" ], "hardSkillsList" : [ "Role-play evaluation", "Audio output evaluation", "Conversational performance audit", "Technical reasoning assessment", "Dataset creation", "Dataset refinement", "Evaluation guideline adherence" ], "hardSkills" : [ { "name" : "Role-play evaluation", "level" : "intermediate" }, { "name" : "Audio output evaluation", "level" : "intermediate" }, { "name" : "Conversational performance audit", "level" : "intermediate" }, { "name" : "Technical reasoning assessment", "level" : "intermediate" }, { "name" : "Dataset creation", "level" : "intermediate" }, { "name" : "Dataset refinement", "level" : "intermediate" }, { "name" : "Evaluation guideline adherence", "level" : "intermediate" } ], "majorSkills" : "AI evaluation, French language proficiency, Customer support experience", "majorSkillsList" : [ "AI evaluation", "French language proficiency", "Customer support experience" ], "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" : "AI audio; Conversational AI; Customer support interactions; Technical services; JSON structures; Support workflows", "domainList" : [ "ai-audio", "conversational-ai", "customer-support-interactions", "technical-services", "json-structures", "support-workflows" ], "domainSpecificKnowledge" : [ "AI audio", "Conversational AI", "Customer support interactions", "Technical services", "JSON structures", "Support workflows" ], "communicationSkills" : "Spoken French; Written French; Listening French; Reading French", "documentationSkills" : "Documentation of evaluation outputs", "problemSolvingSkills" : "Analytical skills", "specialRequirements" : "High-quality microphone required, Stable internet connection required", "outcomesObjectives" : "Ensure consistency in evaluations; Ensure reliability in evaluations; Ensure data integrity in evaluations; Produce accurate evaluation outputs; Produce high-quality evaluation outputs", "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, Analytical skills, 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, Stable internet connection", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "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, French language proficiency, Customer support experience. Design role-play evaluation scenarios. Execute role-play evaluation scenarios", "postedDate" : "2026-06-15T12:50:41.066", "createdAt" : "2026-06-15T12:50:41.066", "lastUpdated" : "2026-06-16T14:09:35.534", "ingestTimestamp" : "2026-06-16T03:22:56.807", "mongoId" : "6a305118f292fd229cef9a5d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12480, "salaryAnnualMax" : 135200, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Role-play evaluation", "Audio output evaluation", "Conversational performance audit", "Technical reasoning assessment", "Dataset creation", "Dataset refinement", "Evaluation guideline adherence", "AI evaluation", "French language proficiency", "Customer support experience", "Conversational quality assessment", "AI audio", "Conversational AI", "Customer support interactions", "Technical services", "JSON structures", "Support workflows" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 361.60834, "daysOld" : 1, "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; 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" : "Evaluation documentation", "problemSolvingSkills" : "Analytical skills", "specialRequirements" : "High-quality microphone required, Stable internet connection required", "outcomesObjectives" : "Ensure consistency in evaluations; Ensure reliability in evaluations; Ensure data integrity in evaluations", "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, Analytical skills, 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, Stable internet connection, Comfortable working independently in remote freelance environment", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "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, Customer support simulation. Design role-play evaluation scenarios. Execute role-play evaluation scenarios", "postedDate" : "2026-06-15T12:53:31.441", "createdAt" : "2026-06-15T12:53:31.441", "lastUpdated" : "2026-06-16T12:56:35.286", "ingestTimestamp" : "2026-06-16T03:21:56.597", "mongoId" : "6a305118f292fd229cef9a65", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12480, "salaryAnnualMax" : 135200, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Qualitative metrics evaluation", "Quantitative metrics evaluation", "Logical reasoning", "AI evaluation", "Audio evaluation", "French language", "Customer support simulation", "Role-play evaluation", "Conversational performance assessment", "Technical reasoning assessment", "Data dataset creation", "Data dataset refinement", "Evaluation guideline adherence", "Independent work", "Documentation", "Customer support interactions", "Travel domain", "Finance domain", "Technical services domain", "AI audio development", "Conversational AI systems" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 361.2232, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "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, "_score" : 343.02695, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "6a306073f292fd229cf8dc7b", "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" : "2026-06-16T07:21:32.621", "fingerprint" : "e2ee0dd398fa5552aa2631a45c5b7b6922bb62d45e8289fbf952a320331c64ab", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/agency/jobs/4781823101", "externalId" : "4781823101", "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, Roadway inspection", "majorSkillsList" : [ "PCI surveys", "Roadway inspection" ], "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 pavement distress patterns, Validate pavement distress patterns, Analyze roadway imagery, Analyze survey excerpts, Validate AI-generated classifications, Provide written feedback, Clarify inspector distinctions, Clarify sampling unit evaluation, Clarify real-world condition influence", "domainKnowledge" : "Pavement Condition Index (PCI); Pavement distress types; Pavement severity levels; Pavement condition ratings; Cracking; Rutting; Spalling; Patching; Weathering", "domainList" : [ "pavement-condition-index-pci", "pavement-distress-types", "pavement-severity-levels", "pavement-condition-ratings", "cracking", "rutting", "spalling", "patching", "weathering" ], "domainSpecificKnowledge" : [ "Pavement Condition Index (PCI)", "Pavement distress types", "Pavement severity levels", "Pavement condition ratings", "Cracking", "Rutting", "Spalling", "Patching", "Weathering" ], "communicationSkills" : "Written feedback; Structured explanation", "qualificationsBasic" : "Familiarity with PCI surveys, Attention to visual detail, Ability to apply distress definitions, Ability to apply rating criteria, Clear written communication, Ability to explain inspection reasoning, Ability to explain classification decisions", "qualificationsPreferred" : "Experience working 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, Roadway inspection. Review roadway images. Review inspection records", "postedDate" : "2026-06-15T23:23:33.442", "createdAt" : "2026-06-15T23:23:33.442", "lastUpdated" : "2026-06-16T07:21:32.621", "ingestTimestamp" : "2026-06-15T23:23:33.442", "mongoId" : "6a306073f292fd229cf8dc7b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12480, "salaryAnnualMax" : 41600, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Pavement condition assessment", "Pavement distress identification", "PCI surveys", "Roadway inspection", "Pavement Condition Index (PCI)", "Pavement distress types", "Pavement severity levels", "Pavement condition ratings", "Cracking", "Rutting", "Spalling", "Patching", "Weathering" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 339.4421, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "6a306073f292fd229cf8dc79", "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" : "2026-06-16T06:46:20.672", "fingerprint" : "76732f1da2ed3bcd49f65042a09b5bd2fda9e500784faa3ced4b805762bb45a8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/agency/jobs/4781825101", "externalId" : "4781825101", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "hardSkillsList" : [ "PCI surveys", "Pavement condition assessment" ], "hardSkills" : [ { "name" : "PCI surveys", "level" : "intermediate" }, { "name" : "Pavement condition assessment", "level" : "intermediate" } ], "majorSkills" : "PCI surveys, Pavement condition assessment", "majorSkillsList" : [ "PCI surveys", "Pavement condition assessment" ], "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, Explain where models misidentify features, Explain where models misinterpret severity, Clarify inspector distinctions between categories, Clarify how sampling units are evaluated, Clarify how field conditions influence scoring, Clarify how field conditions influence reporting", "domainKnowledge" : "Pavement Condition Index (PCI); Pavement distress types; Pavement severity levels; Pavement condition ratings; Cracking; Rutting; Spalling; Patching; Weathering; Roadway conditions; Infrastructure maintenance planning", "domainList" : [ "pavement-condition-index-pci", "pavement-distress-types", "pavement-severity-levels", "pavement-condition-ratings", "cracking", "rutting", "spalling", "patching", "weathering", "roadway-conditions", "infrastructure-maintenance-planning" ], "domainSpecificKnowledge" : [ "Pavement Condition Index (PCI)", "Pavement distress types", "Pavement severity levels", "Pavement condition ratings", "Cracking", "Rutting", "Spalling", "Patching", "Weathering", "Roadway conditions", "Infrastructure maintenance planning" ], "communicationSkills" : "Written communication; 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. Review roadway images. Review inspection records", "postedDate" : "2026-06-15T23:22:01.603", "createdAt" : "2026-06-15T23:22:01.603", "lastUpdated" : "2026-06-16T06:46:20.672", "ingestTimestamp" : "2026-06-15T23:22:01.603", "mongoId" : "6a306073f292fd229cf8dc79", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12480, "salaryAnnualMax" : 41600, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "PCI surveys", "Pavement condition assessment", "Pavement Condition Index (PCI)", "Pavement distress types", "Pavement severity levels", "Pavement condition ratings", "Cracking", "Rutting", "Spalling", "Patching", "Weathering", "Roadway conditions", "Infrastructure maintenance planning" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 338.7741, "daysOld" : 0, "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, "_score" : 338.46097, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "6a306073f292fd229cf8dc7a", "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" : "2026-06-16T10:21:28.891", "fingerprint" : "e482d56ee0826e185b0d76ea2bb24c65dda4f2144662f7c206ab9e166c67cb13", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/agency/jobs/4781822101", "externalId" : "4781822101", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "hardSkillsList" : [ "Pavement condition assessment", "Pavement distress identification", "Roadway inspection" ], "hardSkills" : [ { "name" : "Pavement condition assessment", "level" : "intermediate" }, { "name" : "Pavement distress identification", "level" : "intermediate" }, { "name" : "Roadway inspection", "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 pavement distress patterns, Validate pavement 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 on scoring, Clarify field condition influence on reporting", "domainKnowledge" : "Pavement Condition Index (PCI); Pavement distress types; Pavement severity levels; Pavement condition ratings; Cracking; Rutting; Spalling; Patching; Weathering", "domainList" : [ "pavement-condition-index-pci", "pavement-distress-types", "pavement-severity-levels", "pavement-condition-ratings", "cracking", "rutting", "spalling", "patching", "weathering" ], "domainSpecificKnowledge" : [ "Pavement Condition Index (PCI)", "Pavement distress types", "Pavement severity levels", "Pavement condition ratings", "Cracking", "Rutting", "Spalling", "Patching", "Weathering" ], "communicationSkills" : "Written feedback; Explain reasoning", "qualificationsBasic" : "Familiarity with PCI surveys, Attention to visual detail, Ability to apply distress definitions, Ability to apply rating criteria, Clear written communication", "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" : "2026-06-15T23:26:26.766", "createdAt" : "2026-06-15T23:26:26.766", "lastUpdated" : "2026-06-16T10:21:28.891", "ingestTimestamp" : "2026-06-15T23:26:26.766", "mongoId" : "6a306073f292fd229cf8dc7a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12480, "salaryAnnualMax" : 41600, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Pavement condition assessment", "Pavement distress identification", "Roadway inspection", "PCI surveys", "Pavement condition", "Annotation tasks", "Pavement Condition Index (PCI)", "Pavement distress types", "Pavement severity levels", "Pavement condition ratings", "Cracking", "Rutting", "Spalling", "Patching", "Weathering" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 338.34695, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 53756, "totalPages" : 1076, "hasNext" : true, "hasPrevious" : false } }

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