Detail-oriented document review role focused on evaluating AI-generated outputs for accuracy, nuance, and instruction fidelity in structured evaluation workflows.
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Mercor is recruiting UK-based US Finance legal experts (Kirkland & Ellis, Latham & Watkins, White & Case — PE / M&A / LBO experience) to create realistic legal scenarios for AI training. Cross-border transactions, fund formation, deal structuring. Remote, $130–$170/hr.
Remote annotation opportunity for professionals with finance and marketing knowledge to label, classify, validate, and organize business data used to train AI models, recommendation systems, and analytics platforms.
Remote AI training opportunity for board game and strategy experts to evaluate reasoning, game logic, rule interpretation, and decision-making capabilities of frontier AI systems through benchmark creation and model evaluation.
Remote contractor opportunity for audio annotators to transcribe, categorize, timestamp, and review audio recordings that support speech recognition systems, voice assistants, and AI model training.
Remote contractor opportunity for video annotators to label and review video data used to train computer vision and AI systems through object detection, segmentation, event recognition, and quality assurance workflows.
Remote full-time opportunity for chemistry and chemical engineering experts to evaluate AI systems, develop scientific benchmarks, create assessment frameworks, and improve the reasoning capabilities of large language models.
Use your CFP, CFA, or private wealth management expertise to evaluate financial planning scenarios, review AI-generated financial guidance, and help build next-generation AI-assisted advisory tools.
Help train next-generation AI systems by translating, editing, analyzing, and evaluating Kurdish-language content while providing cultural and linguistic expertise across multilingual AI projects.
Use your Wolof language expertise to translate, localize, edit, proofread, and evaluate multilingual content while helping train next-generation AI systems through high-quality linguistic data and feedback.
Review and annotate sensitive legal documents, identify PII and confidential information, validate OCR outputs, support eDiscovery and compliance workflows, and help train next-generation AI systems using real-world legal and privacy expertise.
Remote contract opportunity for corporate finance professionals with financial modeling experience to contribute to AI research projects involving financial analysis, reporting, forecasting, and business decision-making workflows.
Remote contract opportunity for experienced venture capital professionals to contribute to AI research projects by applying expertise in investment analysis, market sizing, deal sourcing, investment memos, and startup evaluation.
Finance professionals based in Spain or Latin America with experience in investment banking, private equity, venture capital, hedge funds, equity research, or corporate finance are needed to help evaluate and improve frontier AI models through finance-focused research and assessment projects.
France-based finance professionals with experience in investment banking, private equity, hedge funds, venture capital, or equity research are needed to help evaluate and improve frontier AI models through finance-focused research and assessment tasks.
Evaluate how well AI systems handle complex personal-life tasks involving planning, productivity, health, learning, food recommendations, and career development. Assess personalization, practicality, reasoning quality, and real-world usefulness using detailed evaluation rubrics.
Research mathematicians are needed to help train and evaluate frontier AI systems capable of advanced mathematical reasoning. Responsibilities include authoring research-level problems, evaluating proofs, identifying model failures, and contributing expert mathematical insight across pure and applied mathematics domains.
Senior Computer Vision MLE needed to assess the feasibility of an image-based object identification and grading system. Responsibilities include benchmarking vision models, evaluating datasets, measuring accuracy, determining realistic performance ceilings, and producing executive-facing recommendations.
Remote QA leadership role for neuroscience and cognitive science professionals to review AI-generated scientific explanations, research summaries, brain-behavior analyses, and experimental interpretations while maintaining quality standards across AI training projects.
Remote QA leadership role for art history and cultural studies professionals to review AI-generated visual analyses, cultural interpretations, museum-style descriptions, and humanities content while maintaining quality standards across AI training projects.
Remote QA leadership role for architecture and design professionals to review AI-generated spatial layouts, design concepts, building-system recommendations, accessibility analyses, and built-environment content while maintaining quality standards across AI training projects.
Remote QA leadership role for anthropology experts to review AI-generated cultural analyses, ethnographic content, archaeology discussions, and human evolution explanations while maintaining quality standards across AI training projects.
Remote QA leadership role for sociology experts to review AI-generated social science content, theory applications, demographic analyses, and policy discussions while maintaining quality standards across AI training projects.
Remote QA leadership role for political science experts to review AI-generated policy analyses, institutional explanations, comparative politics content, and political reasoning while maintaining quality standards across AI training projects.
Remote QA leadership role for geology and earth science experts to review AI-generated scientific content, geologic interpretations, environmental analyses, and earth-system reasoning while maintaining quality standards across AI training projects.
Remote QA leadership role for astronomy and astrophysics experts to review AI-generated scientific content, calculations, observational analyses, and reasoning while maintaining quality standards across AI training projects.
Remote QA leadership role for philosophy experts to review AI-generated reasoning, ethics, logic, and philosophy content while maintaining quality standards and contributor performance across AI training projects.
Remote leadership role for psychology experts to review AI-generated mental health and psychology content, maintain quality standards, ensure ethical and evidence-based outputs, and guide contributors across AI training projects.
Remote QA leadership opportunity for experienced AI safety and red-teaming professionals to review adversarial evaluations, validate safety assessments, maintain quality standards, and improve training data used by leading AI systems.
Remote QA leadership opportunity for experienced economists and policy professionals to review AI-generated economics content, validate analytical reasoning, ensure model accuracy, and improve training data used by leading AI systems.
Remote QA leadership opportunity for experienced historians and humanities professionals to review AI-generated historical content, ensure factual accuracy and contextual integrity, and improve training data used by leading AI systems.
Remote QA leadership opportunity for experienced frontend professionals to review AI-generated HTML/CSS code, validate accessibility and responsive design quality, maintain standards, and improve training data used by leading AI systems. Apply URL: https://sme.careers/apply?referral=0fb04e64abb7&jobid=HTMLandCSSQAL-26-155
Remote QA leadership opportunity for experienced Python and machine learning professionals to review AI-generated code, validate ML workflows, maintain quality standards, and improve training data used by leading AI systems. Apply URL: https://sme.careers/apply?referral=0fb04e64abb7&jobid=MLQAL-25-109
Remote QA leadership opportunity for experienced Java engineers to review AI-generated code, maintain quality standards, support contributors, and improve training data used by leading AI systems. Apply URL: https://sme.careers/apply?referral=0fb04e64abb7&jobid=JavaQAL-25-116
Remote QA leadership opportunity for experienced Go engineers to review AI-generated code, maintain quality standards, support contributors, and improve training data used by leading AI systems. Apply URL: https://sme.careers/apply?referral=0fb04e64abb7&jobid=GoQAL-25-319
Remote QA leadership opportunity for experienced C programmers to review AI-generated code, maintain quality standards, support contributors, and improve training data used by leading AI systems. Apply URL: https://sme.careers/apply?referral=0fb04e64abb7&jobid=CQAL-25-417
Remote QA leadership opportunity for experienced C# and .NET engineers to review AI-generated code, maintain quality standards, support contributors, and improve training data used by leading AI systems. Apply URL: https://sme.careers/apply?referral=0fb04e64abb7&jobid=CSharpQAL-26-482
Remote QA leadership opportunity for experienced C++ engineers to review AI-generated code, maintain quality standards, support contributors, and improve training data used by leading AI systems. Apply URL: https://sme.careers/apply?referral=0fb04e64abb7&jobid=CppQAL-25-593
Remote QA leadership opportunity for experienced data scientists to review AI-generated analytical content, maintain quality standards, support contributors, and improve training data used by leading AI systems. Apply URL: https://sme.careers/apply?referral=0fb04e64abb7&jobid=DataScientistQAL-25-381
Remote QA leadership opportunity for experienced Excel professionals to review AI-generated spreadsheet content, maintain quality standards, support contributors, and improve training data used by leading AI systems. Apply URL: https://sme.careers/apply?referral=0fb04e64abb7&jobid=ExcelQAL-25-615
Remote QA leadership opportunity for experienced Kotlin developers to review AI-generated code, maintain quality standards, support contributors, and improve training data used by leading AI systems. Apply URL: https://sme.careers/apply?referral=0fb04e64abb7&jobid=KotlinQAL-25-582
Remote QA leadership opportunity for experienced Dart and Flutter developers to review AI-generated code, maintain quality standards, support contributors, and improve training data used by leading AI systems. Apply URL: https://sme.careers/apply?referral=0fb04e64abb7&jobid=DartQAL-25-614
Remote QA leadership opportunity for experienced R and data analytics professionals to review AI-generated statistical content, maintain quality standards, support contributors, and improve training data used by leading AI systems. Apply URL: https://sme.careers/apply?referral=0fb04e64abb7&jobid=RQAL-25-613
Remote QA leadership opportunity for experienced PHP engineers to review AI-generated PHP code, maintain quality standards, support contributors, and improve training data used by leading AI systems. Apply URL: https://sme.careers/apply?referral=0fb04e64abb7&jobid=PHPQAL-26-136
Remote QA leadership opportunity for experienced Bash and Linux professionals to review AI-generated shell scripting content, maintain quality standards, support contributors, and improve training data used by leading AI systems. Apply URL: https://sme.careers/apply?referral=0fb04e64abb7&jobid=BashQAL-25-913
Remote TypeScript Quality Assurance Lead role focused on reviewing AI-generated TypeScript code, enforcing type safety standards, managing contributor quality, supporting onboarding, and improving AI training datasets through rigorous technical evaluation and feedback.
Remote JavaScript Quality Assurance Lead role focused on reviewing AI-generated JavaScript code, managing contributor quality, maintaining technical standards, supporting onboarding, and improving AI training datasets through rigorous code evaluation and feedback.
Remote Turkish Quality Assurance Lead role focused on reviewing AI-generated Turkish content, managing contributor quality, maintaining language standards, supporting onboarding, and improving AI training data quality through structured evaluation and feedback.
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