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1\. Role Overview Mercor is collaborating with a leading AI research lab on a project to advance frontier physics problem-solving. We are looking for physics experts who hold a PhD or Master’s degree, or have experience participating in the International Physics Olympiad (IPhO). The goal of this project is to create novel, clear, and challenging Olympiad-style physics problems that cause the frontier AI models to fail (i.e. generate an incorrect response) and support the training of cutting-edge AI models. This is a short-term, high impact, remote opportunity for those excited about applying their expertise to frontier AI research, with the possibility of extension based on performance. ## 2\. Key Responsibilities - Write original & advanced IPhO-style physics problems to challenge frontier AI models - Evaluate AI-generated solutions for correctness, clarity and style and identify where models fail - Identify logical flaws, incomplete reasoning, or insufficiently-rigorous proofs - Provide clear, concise, and correct solutions & chain of thought reasoning using proper LaTeX formatting - Maintain extremely high standards of precision and problem difficulty ## 3\. Required Qualifications Note: Applicants must be highly proficient in writing and formatting documents using LaTeX You are a good fit for the project if you have any of the following experiences: - Have a Master’s or PhD in physics (or a related field), or are an Olympiad participant or medalist in the IPhO (preferred) or equivalent competitions (RPhO, CPhO, APhO, EuPhO, USAPhO, BPhO, INPhO, JPhO, UPC, IYPT, CUPT). Other qualifications: - Deep understanding of your domain’s core theoretical and experimental concepts - Ability to articulate reasoning and derivations clearly in written form - Strong ability to evaluate the rigor and complexity of physics problems - Rigorous attention to detail in verifying solutions ## 4\. More About the Opportunity - Expected commitment: 20 hours/week minimum; up to 40 hours/week available - Approximate project length: ~2 months, with extension potential - Rolling start dates; setup typically within 1–2 days of approval ## 5\. Compensation & Contract Terms - $60-80/hr dependent on experience + performance - Open to contributors worldwide (English proficiency required) - Independent contractor engagement - Payments issued weekly via Stripe Connect ## 6\. Application Process - Submit your resume or CV highlighting physics background and relevant achievements - Complete a brief interview (20–30 minutes) - Submit a short form detailing your experience writing problems and competing in physics competitions - Selected applicants will be contacted within a few days with next steps ## 7\. About Mercor - Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of professionals across domains like law, creatives, engineering, and research have partnered with Mercor to contribute to frontier projects shaping the next era of AI. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Mercor is seeking PhD holders, doctoral candidates, and exceptional Master’s graduates in chemistry and related fields to join a high-impact AI research initiative in collaboration with a leading artificial intelligence lab. * * * ### Key Domains Here is a list of domains. If you belong to or have expertise in one or more of them, feel free to apply -- we’re excited to have you on the team! Core Chemistry Disciplines: General Chemistry, Inorganic Chemistry, Organic Chemistry, Physical Chemistry Analytical and Specialized Chemistry: Analytical Chemistry, Electrochemistry, Radiochemistry, Polymer Chemistry Biological and Medicinal Chemistry: Biochemistry and Molecular Biology, Medicinal Chemistry Chemical Engineering and Process Sciences: Chemical Engineering and Technology, Fluid Flow and Heat Transfer in Chemical Engineering, Mass Transport and Separation Processes, Chemical Reaction Engineering * * * ### Key Responsibilities - Evaluate the scientific accuracy, reasoning, and technical rigor of LLM-generated content across chemical disciplines. - Identify and document factual inaccuracies, logical inconsistencies, and reasoning gaps. - Provide structured feedback and benchmarking using specialized evaluation tools. - Work independently and asynchronously as part of a distributed research team. * * * ### Requirements - PhD (candidate/recipient) or Masters in Chemistry, Chemical Engineering, Biochemistry, or a closely related field. - Strong command of graduate-level chemistry concepts and scientific problem solving. - Excellent written communication and analytical thinking skills. - Ability to work independently in a remote, asynchronous environment. * * * ### Role Details - Part-time contract Role(20 hour/week) - Remote and asynchronous - Flexible schedule * * * ### Compensation - Contractor position via Mercor - $20–$30/hour, based on expertise and domain experience - Weekly payments via Stripe Connect * * * ### About Mercor Mercor is a San Francisco-based company connecting top professionals with leading AI initiatives. Investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.

1\. Role Overview Mercor is collaborating with a leading AI research lab to develop a next-generation evaluation dataset for frontier AI models. We are seeking experts with advanced domain knowledge across diverse fields to design extremely challenging prompts that cannot be solved by existing AI systems without internet search or browsing capabilities. The goal is to create a benchmark dataset that pushes the limits of current AI reasoning and retrieval. This is a short-term research engagement with significant impact on AI evaluation. ## 2\. Key Responsibilities - Create original, expert-level prompts that require tool use (e.g., search, browse, or code execution). - Ensure prompts are objective, self-contained, and yield clear, unambiguous answers. - Test prompts against advanced AI models and document failures/successes. - Provide reasoning steps and solutions for each prompt. - Classify prompts into subject domains for dataset organization. - Collaborate with reviewers for expert validation and prompt refinement. ## 3\. Ideal Qualifications - Advanced academic or professional expertise in a specialized subject (STEM, law, finance, history, cultural studies, etc.). - Strong ability to design precise, high-difficulty questions requiring deep knowledge and external references. - Experience in academic research, benchmarking, or test question design preferred. - Attention to detail and ability to provide concise reasoning explanations. - Familiarity with AI models and their limitations is a plus. ## 4\. More About the Opportunity - Remote and asynchronous — set your own hours. - Expected commitment: ~10–20 hours/week. - Project duration: ~2 months, with possible extensions based on dataset needs. - Opportunity to contribute to high-impact AI safety and evaluation research. ## 5\. Compensation & Contract Terms - Competitive hourly compensation based on expertise. - Independent contractor engagement. - Payments for services rendered processed weekly via Stripe Connect. ## 6\. Application Process - Submit your resume or CV highlighting your subject matter expertise. - Complete a brief questionnaire about your background and areas of specialization. - Selected applicants may be asked to draft a short test prompt. - You’ll receive follow-up within a few days regarding next steps. ## 7\. About Mercor - Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI.

1\. Role Overview Mercor is collaborating with a leading AI research lab on a project to advance frontier astronomy problem-solving. We are looking for astronomy experts who hold a PhD or Master’s degree, or have experience participating in the International Astronomy Olympiad (IAO). The goal of this project is to create novel, clear, and challenging Olympiad-style astronomy problems that cause frontier AI models to fail (i.e., generate an incorrect response) and to support the training of cutting-edge AI reasoning systems. This is a short-term, high-impact, remote opportunity for those excited about applying their expertise to frontier AI research, with the possibility of extension based on performance. ### 2\. Key Responsibilities - Write original & advanced IAO-style astronomy problems to challenge frontier AI models - Evaluate AI-generated solutions for correctness, clarity, and reasoning quality, and identify where models fail - Identify logical flaws, incomplete reasoning, or insufficiently rigorous derivations - Provide clear, concise, and correct solutions and reasoning, formatted in LaTeX - Maintain extremely high standards of precision, scientific rigor, and problem difficulty ### 3\. Required Qualifications Note: Applicants must be highly proficient in writing and formatting documents using LaTeX You are a good fit for the project if you have any of the following experiences: - Have a Master’s or PhD in astronomy (or a related field), or are an Olympiad participant or medalist in the IAO (preferred) or equivalent competitions (RAO, CAO, IAO TST, AAO, EuAO, USAAO, BAO, INAO, JAO, UAC, IAYPT, CAUT, etc.) Other qualifications: - Deep understanding of core theoretical and observational concepts in astronomy and astrophysics - Ability to articulate reasoning and derivations clearly in written form - Strong ability to evaluate the rigor and complexity of astronomy problems - Rigorous attention to detail in verifying solutions ### 4\. More About the Opportunity - Expected commitment: 20 hours/week minimum; up to 40 hours/week available - Project length: ~2 months, with potential for extension - Rolling start dates; setup typically within 1–2 days of approval ### 5\. Compensation & Contract Terms - $60–80/hr, dependent on experience and performance - Open to contributors worldwide (English proficiency required) - Independent contractor engagement - Payments issued weekly via Stripe Connect ### 6\. Application Process 1. Submit your resume or CV highlighting your astronomy background and relevant achievements 2. Complete a brief interview (20–30 minutes) 3. Submit a short form detailing your experience writing problems and competing in astronomy or related Olympiads 4. Selected applicants will be contacted within a few days with next steps ### 7\. About Mercor Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across domains such as science, engineering, and research have partnered with Mercor to contribute to frontier AI projects shaping the next era of technology. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

About the Role Mercor is seeking experienced News Analysts, Reporters, and Journalists to support a leading AI lab in advancing research and infrastructure for next-generation machine learning systems. This engagement focuses on diagnosing and solving real issues in your domain. It's an opportunity to contribute your expertise to cutting-edge AI research while working independently and remotely on your own schedule. ## Key Responsibilities - You’ll be asked to create deliverables regarding common requests within your professional domain - You’ll be asked to review peer developed deliverables to improve AI research ## Ideal Qualifications - 4+ years professional experience in your respective field - Excellent written communication with strong grammar and spelling skills ## More About the Opportunity - Fully remote and asynchronous — complete work on your own schedule - Expected workload: ~30 hours per week, with flexibility to scale up to 40 hours - Project start date: immediately, lasting for around 3-4 weeks ## Compensation & Contract Terms - Independent contractor engagement through Mercor - Hourly compensation, paid weekly via Stripe Connect - Payments based on services rendered; contractors maintain full control over their work schedule and methods About Mercor - Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey - Thousands of professionals across domains like engineering, research, law, and creative services have partnered with Mercor on frontier AI projects We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request. ## Earn $200 by referring Share the referral link below, and earn $200 for each successful referral through this unique link. There's no limit on how many people you can refer. Restrictions may apply. [Learn consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Mercor is seeking Mathematics Undergraduates/Master’s students for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving state-of-the-art large language models. Specifically, you will help create high-quality data that will inform the future of AI innovation by curating difficult problems in your domain. ### You're a good fit if you: - Currently pursuing/holding a mathematics-related degree from a leading US or Canadian university. - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. ### Additional Project Details: - The project will begin in September, though we will continue with rolling application review throughout the duration of the project. - Expect to contribute 15-20 hours of work per week, with potential to extend up to 40+ hours. - The work is fully remote and asynchronous. - The project is scoped to last a minimum of 1-2 months. ### Pay & Legal Status: - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. ### Screening Process: - You will need to complete an AI interview and written form, which will take a combined 20-30 minutes to complete. We are primarily accepting applicants from the US and Canada, but also open to other countries given a strong background. ## About Mercor Mercor specializes in recruiting experts for top AI labs and is based in San Francisco, CA. Our investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey. * * * Apply today and leverage your leadership and technical expertise to advance cutting-edge AI models!

Role Overview Mercor is collaborating with a leading actuarial modeling partner to support high-priority analytical workflows in property and casualty (P&C) insurance. We’re seeking experienced P&C actuaries to provide contract-based support on tasks including loss triangle development, rate indications, trend selection, and large loss analyses. This opportunity involves technical execution of core reserving and pricing practices used in regulatory filings and internal reviews. It is ideal for actuaries with strong hands-on skills in Excel, reserving platforms, and actuarial judgment. Key Responsibilities - Build and analyze loss development triangles for paid and incurred data. - Calculate, compare, and select age-to-age and cumulative development factors. - Estimate ultimate losses and IBNR reserves using factor-based projections. - Perform rate indication calculations including trending and premium on-leveling. - Select frequency and severity trends with supporting documentation. - Conduct large loss load analyses using capping and truncation techniques. - Prepare reserve exhibits and filing-ready workpapers in Excel and PDF formats. Ideal Qualifications - 5+ years of experience in property and casualty actuarial roles. - Familiarity with Workers Compensation, Auto, Umbrella, or General Liability lines. - Proficiency with Arius, ResQ, R ChainLadder, or similar reserving tools. - Strong skills in Excel, with experience auditing and constructing complex models. - Solid understanding of insurance data sources such as Guidewire or Duck Creek. - Excellent documentation and communication skills, especially in technical contexts. More About the Opportunity - Remote and asynchronous — control your own work schedule - Expected commitment: min 30 hours/week - Project duration: ~6 weeks Compensation & Contract Terms - $60-100/hour - Independent contractor arrangement - Paid weekly via Stripe Connect Application Process - Submit your resume followed by domain expertise interview and short form About Mercor - Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI

Mercor is seeking native French speakers who are also legal professionals based in France. This role combines your legal expertise across a wide variety of different subjects with language mastery, helping train cutting-edge AI models in the legal domain. You will leverage your background in legal practice, alongside your bilingual communication skills, to create accurate, culturally nuanced, and technically precise content that reflects real-world legal usage in French. * * * ## Role Responsibilities - Legal Content Development: Translate, adapt, and synthesize complex nuances in legal practices in France, reflecting region-specific laws, processes, and terminology requiring localized interpretation. - Bilingual Communication: Write fluently in both French and English, ensuring precise legal terminology and nuanced expression across languages. - Domain Expertise: Provide cultural insights specific to the French legal system. - Collaboration: Work closely with reviewers and peers to refine content, validate accuracy, and align outputs with legal standard practices in France. * * * ## Ideal Candidates Should Have: - Language Skills: Native-level fluency in French with strong written and spoken English. - Education: Advanced degree in Law. - Experience: 2–6+ years of practicing law in France. - Analytical Abilities: Excellent writing, analytical, and communication skills. - Nice to Haves - Experience with assessment and rubric development is a plus. - Familiarity with generative AI models or machine learning concepts is a bonus, but not required. * * * ## More Details About This Role: - This is a remote and asynchronous role — work on your own schedule. - Expect to contribute at least 20 hours per week. - Expect a commitment of around 2 months. - You’ll be working in a structured project environment with clear goals and tools. Application and Onboarding Process: - Submit your resume. - Complete an AI-led interview to assess language ability and professional experience. This should take around 15 minutes. - If selected, you’ll take a follow-up AI-led interview to assess your professional background. - You’ll then complete a paid work trial to determine if this type of work is suited for you. - After that, you’ll receive feedback and be onboarded to the project. * * * About Mercor: Mercor is a San Francisco-based company connecting top-tier professionals with cutting-edge AI initiatives. Backed by investors like Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey, we specialize in accelerating AI development through expert human collaboration.

Mercor is seeking PhD holders, doctoral candidates, and outstanding Master’s graduates in biology and related disciplines to join a high-impact AI research initiative in partnership with a leading artificial intelligence lab. * * * ### Key Domains Here is a list of domains. If you belong to or have expertise in one or more of them, feel free to apply — we’re excited to have you on the team! Molecular & Cellular Biology: Molecular Biology, Cell Biology, Biochemistry, Genetics, Genomics, Proteomics, Metabolomics Organismal & Evolutionary Biology: Evolutionary Biology, Developmental Biology, Ecology, Microbiology, Virology, Botany, Zoology Biomedical & Applied Life Sciences: Immunology, Neurobiology, Physiology, Biotechnology, Systems Biology, Bioinformatics, Computational Biology Interdisciplinary Biological Sciences: Biophysics, Structural Biology, Synthetic Biology, Environmental Biology * * * ### Key Responsibilities - Evaluate scientific correctness, conceptual rigor, and depth of LLM-generated responses across biology and biomedical domains. - Review outputs involving experimental design, data interpretation, and theoretical frameworks in biological sciences. - Identify factual inaccuracies, reasoning errors, and conceptual misunderstandings in model outputs. - Benchmark model performance on advanced biological and interdisciplinary research problems. - Work independently and asynchronously using proprietary evaluation tools. * * * ### Requirements - PhD (candidate/recipient) or Master’s degree in Biology, Molecular Biology, Biochemistry, Biotechnology, Bioinformatics, or a closely related field. - Strong command of graduate-level biological concepts, experimental reasoning, and data interpretation. - Excellent written communication and analytical abilities. - Ability to work independently in a remote, asynchronous setting. * * * ### Role Details - Part-time (20 hours/week) - Remote and asynchronous work environment - Flexible schedule to accommodate global contributors * * * ### Compensation - Contractor position via Mercor - $20–$30/hour, depending on expertise and domain depth - Weekly payments through Stripe Connect * * * ### About Mercor Mercor is a San Francisco-based company connecting top professionals with leading AI initiatives. Investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.

This person complements the client’s “Translational / Clinical Pharmacology Decision-Maker” team by grounding dose selection and exposure–response analysis in quantitative structure and parameter plausibility. ### Who we’re looking for - Deep hands-on experience in PK, PD, exposure–response modeling, and ideally population PK or QSP. - Expert at model fitting, sensitivity analysis, and identifying non-plausible parameter spaces. - Can evaluate the validity of dose–exposure predictions and detect high-risk extrapolations. - Comfortable designing model evaluation rubrics that distinguish between acceptable vs. non-credible outputs. - Able to articulate how quantitative checks should complement narrative decision logic. Nice-to-have: - Experience supporting translational or clinical pharmacology leads in dose justification. - Familiarity with integrating nonclinical PK/PD data (2-species GLP → human FIH extrapolation). ### Experience level - ~8–12 years of quantitative pharmacology experience in pharma, CROs, or modeling consultancies. - Strong portfolio in population PK/PD, exposure–response, and parameter estimation using NONMEM, Monolix, or equivalent tools. - Demonstrated ability to interpret model results for decision-making, not just fit data. - Can create fit-for-purpose models and critique model structures or assumptions under uncertainty. ### Expectations - Design and refine micro-evaluations for PK/PD performance (curve fits, parameter checks, error taxonomies). - Encode quantitative sanity checks into model rubrics for automated evaluation. - Define failure conditions (e.g., unsafe extrapolation, poor coverage curves, invalid assumptions). Inputs we give: - PK/PD datasets, tox summaries, and performance prompts (e.g., “fit exposure–response curves, interpret safety margins”). - Example model outputs from automated systems. Expected outputs: - Quantitative Rubrics: clear thresholds for acceptable parameter fits, coverage curve quality, and model integrity checks. - Golden Fit Examples: representative “ideal” PK/PD model outputs and visualizations for calibration. - Error Taxonomy: structured list of typical modeling or fitting errors, with root-cause annotations. - Meta-Layer Commentary: short note per rubric capturing how expert modelers recognize implausible or unsafe fits beyond numeric error values. ### Engagement Model & Compensation - Contract / part-time, remote, outcome-based deliverables.

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Mercor is seeking Physics PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving state-of-the-art large language models. Specifically, you will help create high-quality data that will inform the future of AI innovation by coming up with difficult problems in your domain. You're a good fit if you: - Have a Physics PhD from a top US, UK, Canadian, or European university. - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. Here are more details about the role: - The role is ongoing starting in August and continuing with rolling applications. - The project is expected to require 15-20 hours of work per week, with potential to be extended to 40 hours per week. - The work is fully remote and asynchronous so it can flexible and subject to your schedule. - This project is scoped to last a minimum of 1-2 months. With respect to pay and legal status: - You will be legally classified as an hourly contractor for Mercor. - We will pay you out at the end of each week via Stripe Connect. Screening Process: - You will need to complete a short AI interview and written form, which will take 20-30min in total. ## About Mercor Mercor specializes in recruiting experts for top AI labs and is based in San Francisco, CA. Our investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey. * * * Apply today and leverage your leadership and technical expertise to advance cutting-edge AI models!

Role Overview Mercor is partnering with a leading AI research group to engage sports experts in a short-term evaluation project. Professionals with deep sports knowledge — including analysts, commentators, coaches, journalists, and former athletes — will assess AI-generated match analysis across a range of major sports. This initiative supports the development of more strategic, realistic, and entertaining AI sports commentary. ### Key Responsibilities - Review AI-generated play-by-play commentary, summaries, and post-match insights - Evaluate the quality, accuracy, and storytelling depth of AI-generated sports coverage - Assess the AI’s understanding of momentum, game flow, and strategic decisions - Identify factual errors, rule misinterpretations, and stylistic inconsistencies - Provide structured written feedback on strengths, gaps, and improvement areas - Collaborate with analysts and developers to guide model improvements ### Ideal Qualifications - Demonstrated expertise in at least one major sport (e.g., football/soccer, basketball, tennis, cricket, American football, baseball, hockey) - Experience as a player, coach, commentator, journalist, analyst, or dedicated fan - Strong analytical skills and understanding of sports strategy and performance dynamics - Clear, concise written communication in English - Comfortable navigating online tools and evaluation dashboards ### More About the Opportunity - Remote, project-based work - Flexible hours and asynchronous collaboration - Short-term opportunity with potential for follow-on projects ### Application Process - Submit your resume to express interest - Complete a short assessment - Participate in a brief work trial to demonstrate your evaluation skills - You’ll receive a response within 1–2 business days ### About Mercor Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI

Overview: We are looking for a Bilingual STEM Expert (German and English) to review, evaluate, and refine AI-generated content involving scientific, mathematical, and technical reasoning across both languages. Your expertise in STEM fields and bilingual communication will be critical to ensuring technical accuracy, translation quality, and instructional clarity. * * * Job Details: Content Evaluation & Auditing: - Review AI-generated STEM content (science, technology, engineering, and mathematics) to ensure technical correctness, logical flow, and conceptual clarity. - Evaluate explanations, problem-solving steps, and final outputs for precision in both German and English. - Identify and document translation errors, scientific inaccuracies, or ambiguities in AI outputs. Multilingual Translation Validation: - Verify that German and English translations preserve the original content's technical meaning, scientific terminology, and intended logic. - Detect and resolve language-specific nuances that could impact learner comprehension. Annotation & Feedback: - Provide clear, structured feedback to improve the quality of AI-generated content and annotation. - Review and suggest refinements to guidelines for STEM topics, problems, and reasoning processes. * * * Ideal Qualifications: Generalist, STEM & Linguistic Proficiency: - Fluent in German and English, with proven experience working on content across both languages. - Solid background in science, engineering, mathematics, or a related technical field. - Experience in bilingual instruction, scientific writing, technical translation, or curriculum development is highly desirable. Analytical Thinking & Problem Solving: - Strong ability to break down complex scientific and technical topics clearly. - High attention to detail and logical consistency in STEM reasoning. - Communication & Feedback Skills: - Familiarity with reviewing or developing educational STEM content, especially for AI or digital learning platforms. * * * Minimum Qualifications: - Master’s degree or PhD in STEM fields (e.g., Engineering, Science, Mathematics, Technology, or related disciplines). - Fluency in both German and English (spoken and written). - 2+ years of experience in the STEM/Generalist field. - Prior experience with annotation, curriculum design, or AI content review is a plus. * * * ### Additional Details: - The role is remote and asynchronous, i.e., you can primarily work on your schedule. - This project will require approximately 15-20 work hours per week. - This position is structured with clear expectations. * * * Application and Onboarding Process: - After submitting your resume, you will have a 15-minute conversation with our AI interviewer to test your research and reasoning skills. - Within a few days, we will reach out for a follow-up call or decision on your application and move forward with project onboarding soon after. About : - Our team is based in San Francisco, CA - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey

About the Role Mercor is seeking experienced Buying and Purchasing Agents to support a leading AI lab in advancing research and infrastructure for next-generation machine learning systems. This engagement focuses on diagnosing and solving real issues in your domain. It's an opportunity to contribute your expertise to cutting-edge AI research while working independently and remotely on your own schedule. ## Key Responsibilities - You’ll be asked to create deliverables regarding common requests within your professional domain - You’ll be asked to review peer developed deliverables to improve AI research ## Ideal Qualifications - 4+ years professional experience in your respective field - Excellent written communication with strong grammar and spelling skills ## More About the Opportunity - Fully remote and asynchronous — complete work on your own schedule - Expected workload: ~30 hours per week, with flexibility to scale up to 40 hours - Project start date: immediately, lasting for around 3-4 weeks ## Compensation & Contract Terms - Independent contractor engagement through Mercor - Hourly compensation, paid weekly via Stripe Connect - Payments based on services rendered; contractors maintain full control over their work schedule and methods About Mercor - Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey - Thousands of professionals across domains like engineering, research, law, and creative services have partnered with Mercor on frontier AI projects We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request. ## Earn $125 by referring Share the referral link below, and earn $125 for each successful referral through this unique link. There's no limit on how many people you can refer. Restrictions may apply. [**Learn

Mercor is hiring Ophthalmologists on behalf of a healthcare AI partner developing advanced vision-care decision-support tools. You will use your clinical expertise to review, annotate, and validate ophthalmic data, directly improving the safety and accuracy of medical AI systems. This is an in-person role in San Francisco. * * * ## Key Responsibilities - Clinical Data Annotation: Review and label ophthalmology notes, imaging reports, and EHR data; identify diagnoses, findings, and treatment pathways. - Quality Review: Audit annotations and verify AI-generated outputs for medical accuracy. - Knowledge Input: Provide guidance on annotation standards, taxonomy updates, and edge-case definitions. - Model Evaluation: Evaluate AI-produced summaries and recommendations; flag errors and provide structured feedback. - Documentation Support: Contribute to documentation standards and onboarding materials for new annotators. * * * ## Requirements - MD/DO specialising in Ophthalmology; board-certified or board-eligible. - Active medical license in good standing. - 2+ years of clinical experience (medical or surgical ophthalmology). - Strong understanding of ocular disease, imaging modalities (OCT, fundus, FA), and treatment workflows. - Familiarity with ophthalmic EHRs, terminology (ICD-10, CPT, SNOMED), and precise documentation. - Interest or experience in medical AI, data annotation, or informatics preferred. * * * ## Work Arrangement - In-person (San Francisco), part-time (up to 10 hours/week). - Flexible hours suited for practicing clinicians. - Growth opportunities in applied clinical AI and cross-disciplinary collaboration. * * * ## Why Join - Shape next-generation AI-assisted vision care with real clinical expertise. - Collaborate with teams focused on accuracy, ethics, and patient safety. - Gain exposure to cutting-edge healthcare AI while maintaining clinical flexibility. - Contribute to a mission to improve global access to intelligent, evidence-based eye care.

Role Overview Mercor is driving a leading AI research initiative focused on benchmarking and enhancing model performance across a range of machine learning tasks. We are seeking Machine Learning Researchers and PhDs. This is a remote, short-term engagement with flexible hours and opportunities to contribute to frontier AI evaluation and research. ## Key Responsibilities - Compile external ML competitions into challenging tasks that reflect real-world responsibilities. - Validate implementations against original plans and mark discrepancies. ## Ideal Qualifications - 5+ years of experience in applied machine learning or a PhD in machine learning or related fields. - Strong understanding of ML research methodologies, experimental design, and evaluation practices. - Excellent analytical and technical writing skills. - Experience with reproducibility or benchmarking in ML research preferred. - Detail-oriented and able to deliver high-quality, structured feedback independently. ## Engagement Details - Type: Independent contractor - Mode: Fully remote and asynchronous — work from anywhere, on your own schedule. - Commitment: 20-40 hrs/week (Can go upto 80hrs/week depending on your performance) ## Compensation & Contract Terms - Hourly Pay Rate: Up to $120/hour - Payment: Weekly via Stripe Connect - Contract Type: Independent contractor engagement - Structure: Remote, milestone-based evaluation with flexible scheduling - Application Process - Submit your resume or CV highlighting relevant ML research or engineering experience. - Complete a short AI-based interview and a brief questionnaire about your experience. - Selected candidates will receive detailed onboarding materials and access to the project environment. ## About Mercor Mercor is a global talent marketplace connecting exceptional professionals with leading AI labs and research organizations. Our mission is to empower experts to contribute directly to the most influential and technically advanced AI projects worldwide. Mercor is backed by investors including Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across disciplines — from research and engineering to law and design — have joined Mercor to build the next generation of artificial intelligence systems.

1\. Role Overview Mercor is collaborating with a leading AI research lab on a project to advance engineering problem-solving at the frontier of artificial intelligence. We are seeking experienced engineers with strong backgrounds in analytical problem design, real-world systems modeling, or competitive engineering problem-solving (university competitions, design challenges, or advanced coursework). The goal of this project is to create novel, rigorous, and multi-step engineering problems that challenge cutting-edge AI models—specifically those that cause the AI to fail or demonstrate reasoning limits—while supporting the improvement and training of advanced AI systems. This is a short-term, high-impact, fully remote opportunity for engineering professionals eager to apply their deep technical expertise to frontier AI research, with the possibility of project continuation based on performance. ## 2\. Key Responsibilities - Design original, advanced engineering problems that require creative reasoning, multi-domain integration, and precise analytical thinking. - Evaluate AI-generated engineering solutions for technical accuracy, completeness, and adherence to physical and practical constraints. - Identify logical gaps, incorrect modeling assumptions, or computational inaccuracies. - Provide complete, clear, and well-documented solutions and derivations using LaTeX formatting for equations and schematics. - Maintain high standards of technical precision, rigor, and conceptual depth. ## 3\. Required Qualifications Note: Applicants must be proficient in creating and formatting technical documents using LaTeX. You are a strong fit for this project if you have one or more of the following: - Advanced degree (or equivalent experience) in mechanical, electrical, civil, aerospace, or chemical engineering, or a related field. - Experience designing or grading complex analytical or design-focused problems (university level or professional exams). - Participation in or mentorship for engineering design or modeling competitions is preferred(e.g., Formula SAE, Shell Eco-marathon, ASME/IEEE/AIChE contests, robotics challenges, or design sprints). - Research or teaching experience involving applied problem formulation and quantitative modeling. Other qualifications: - Deep understanding of core engineering principles and real-world systems. - Ability to communicate step-by-step reasoning, assumptions, and derivations clearly. - Strong intuition for problem difficulty, structure, and conceptual progression. - Detail-oriented verification of results and internal consistency. ## 4\. More About the Opportunity - Time commitment: Minimum 20 hours/week; up to 40 hours/week available - Duration: Approximately 2 months, with strong potential for extension - Rolling onboarding; start typically within 1–2 days after approval ## 5\. Compensation & Contract Terms - $60–80 per hour, depending on experience and demonstrated performance - Open to contributors worldwide (English proficiency required) - Independent contractor arrangement - Weekly payments via Stripe Connect ## 6\. Application Process 1. Submit your resume or CV highlighting your engineering background and relevant accomplishments. 2. Participate in a short interview (20–30 minutes). 3. Complete a brief form outlining your experience with problem design, engineering challenges, or teaching. 4. Selected applicants will receive follow-up steps within a few days. ## 7\. About Mercor Mercor is a talent marketplace connecting top professionals with leading AI research organizations and technology labs. Its investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across science, engineering, and research disciplines have partnered with Mercor to contribute to frontier AI initiatives shaping the next era of innovation. We encourage all qualified applicants to apply. Mercor provides equal opportunity and reasonable accommodations upon request.

Role Overview Mercor is partnering with a leading frontier AI research lab on an exciting math project. We are seeking individuals with demonstrated expertise in Olympiad-style mathematics and problem setting. We’re inviting math competition problem writers, selection committee members, medalists & participants to help push the boundaries of AI reasoning by training large language models to tackle Olympiad-level problems better than the world’s top competitors. This role is a short-term, high-impact research engagement, with the possibility of extension based on performance. * * * ## Key Responsibilities - Write original & advanced IMO-style mathematics problems to challenge frontier AI models - Evaluate AI-generated solutions for correctness, clarity, and style - Identify logical flaws, incomplete reasoning, or insufficiently-rigorous proofs - Provide clear, concise, and correct solutions & chain of thought reasoning - Maintain extremely high standards of mathematical precision and problem difficulty ## Required Qualifications Note: Applicants must be highly proficient in writing and formatting documents using LaTeX You are a good fit for the project if you have any of the following experiences: - Problem writer - Coach - Selection committee member - Medalist (gold, silver, bronze) - Participant And have participated in any of the following mathematics competitions (Note: Preference will be given for IMO & RMM participation, but we welcome applications from all competitions below): - IMO - IMO TST - RMM - USAMO - APMO - IMC - EGMO You should have: - Expertise across algebra, combinatorics, and number theory - Ability to clearly articulate complex reasoning in written form - Rigorous attention to detail in verifying solutions - Independent, reliable, and disciplined work style ## More About the Opportunity - Expected commitment: 20 hours/week minimum; up to 40 hours/week available - Approximate project length: ~2 months, with extension potential - Rolling start dates; setup typically within 1–2 days of approval # Compensation - This engagement uses a pay-per-task model, with payments tied to each fully completed and accepted problem or review. - Compensation per task varies based on factors such as problem difficulty, solution quality, and overall efficiency, and contributors are free to choose how many tasks they complete. - Based on current project rates, the estimated effective range for this engagement is approximately $54–$93 per hour of focused work, depending on the volume and quality of tasks completed. This range is an estimate, not a guarantee or cap on total payments for services rendered. - There is no cap on total weekly payments for services rendered; contributors may complete as many available tasks as they choose to accept during the engagement. ## Contract Terms - Open to contributors worldwide (English proficiency required) - Independent contractor arrangement through Mercor - Weekly payments via Stripe Connect ## Application Process - Complete a brief interview (20–30 minutes) - Submit a short form detailing your experience writing problems and competing in math competitions ## About Mercor - Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations - Backed by Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey - Thousands of professionals across mathematics, law, engineering, and research collaborate with Mercor on frontier AI projects shaping the future

Mercor is seeking Legal Experts (J.D.s) for a premier project with one of the world's top AI labs. In this role, you will contribute your legal expertise to a cutting-edge project evaluating AI agents' ability to navigate legal databases and perform real-world legal research workflows. Specifically, you will create challenging, realistic tasks that test AI systems on professional legal workflows like case law research, regulatory analysis, and document review. Ideal Qualifications: - Have a J.D. from a top US law school. - Have experience with legal research platforms (CourtListener, Westlaw, LexisNexis, PACER, etc.) - Have professional experience in litigation, regulatory work, or legal research - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across legal domains. - You will create detailed evaluation rubrics for AI agent performance - You will craft realistic legal research tasks involving case law searches, regulatory analysis, and citation extraction across federal and state databases - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Mercor is seeking skilled Korean language experts with strong bilingual proficiency in English and Korean to support a high-impact AI research initiative in partnership with a leading AI lab. In this role, you will evaluate and audit Korean-language AI outputs across a variety of tasks, ensuring accuracy, clarity, and cultural correctness. * * * ## Key Responsibilities - Review and audit Korean-language data, including translations, summaries, Q&A responses, and reasoning outputs. - Evaluate text quality using structured rubrics (8–10 criteria), focusing on clarity, correctness, fluency, and consistency. - Check translation accuracy between Korean ↔ English, ensuring semantic fidelity and natural phrasing. - Identify linguistic errors in grammar, spelling, style, register, and cultural nuances. - Assess logical reasoning within Korean-language explanations and identify gaps or inconsistencies. - Provide clear, concise written feedback to justify evaluation decisions. - Work independently and asynchronously using provided tools and workflows. * * * ## Qualifications - Native or near-native Korean proficiency - Strong English reading and writing ability - Experience in one or more of the following: - Korean ↔ English translation - Proofreading or linguistic quality review - Text evaluation, annotation, or content moderation - Summarization, classification, or Q&A tasks - Strong attention to detail and ability to follow complex guidelines. - Ability to work independently in a remote environment. * * * ## Role Details - Part-time: 30–40 hours per week - Fully remote and asynchronous - Flexible scheduling * * * ## Compensation - Contractor role via Mercor - $30–$60/hour, depending on experience - Weekly payments through Stripe Connect * * * ## About Mercor Mercor is a San Francisco–based company connecting top professionals to cutting-edge AI initiatives. Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. We partner with leading AI labs to accelerate innovation through high-quality human evaluation.

Mercor is seeking skilled Mandarin language experts with strong bilingual proficiency in English and Mandarin to support a high-impact AI research initiative in partnership with a leading AI lab. In this role, you will evaluate and audit Mandarin-language AI outputs across a variety of tasks, ensuring accuracy, clarity, and cultural correctness. * * * ## Key Responsibilities - Review and audit Mandarin-language data, including translations, summaries, Q&A responses, and reasoning outputs. - Evaluate text quality using structured rubrics (8–10 criteria), focusing on clarity, correctness, fluency, and consistency. - Check translation accuracy between Mandarin ↔ English, ensuring semantic fidelity and natural phrasing. - Identify linguistic errors in grammar, spelling, style, register, and cultural nuances. - Assess logical reasoning within Mandarin-language explanations and identify gaps or inconsistencies. - Provide clear, concise written feedback to justify evaluation decisions. - Work independently and asynchronously using provided tools and workflows. * * * ## Qualifications - Native or near-native Mandarin proficiency - Strong English reading and writing ability - Experience in one or more of the following: - Mandarin ↔ English translation - Proofreading or linguistic quality review - Text evaluation, annotation, or content moderation - Summarization, classification, or Q&A tasks - Strong attention to detail and ability to follow complex guidelines. - Ability to work independently in a remote environment. * * * ## Role Details - Part-time: 30–40 hours per week - Fully remote and asynchronous - Flexible scheduling * * * ## Compensation - Contractor role via Mercor - $30–$60/hour, depending on experience - Weekly payments through Stripe Connect * * * ## About Mercor Mercor is a San Francisco–based company connecting top professionals to cutting-edge AI initiatives. Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. We partner with leading AI labs to accelerate innovation through high-quality human evaluation.

Mercor is seeking native Japanese speakers who are also legal professionals based in Japan. This role combines your legal expertise across a wide variety of different subjects with language mastery, helping train cutting-edge AI models in the legal domain. You will leverage your background in legal practice, alongside your bilingual communication skills, to create accurate, culturally nuanced, and technically precise content that reflects real-world legal usage in Japanese. * * * ## Role Responsibilities - Legal Content Development: Translate, adapt, and synthesize complex nuances in legal practices in Japan, reflecting region-specific laws, processes, and terminology requiring localized interpretation. - Bilingual Communication: Write fluently in both Japanese and English, ensuring precise legal terminology and nuanced expression across languages. - Domain Expertise: Provide cultural insights specific to the Japanese legal system. - Collaboration: Work closely with reviewers and peers to refine content, validate accuracy, and align outputs with legal standard practices in Japan. * * * ## Ideal Candidates Should Have: - Language Skills: Native-level fluency in Japanese with strong written and spoken English. - Education: Advanced degree in Law. - Experience: 2–6+ years of practicing law in Japan. - Analytical Abilities: Excellent writing, analytical, and communication skills. - Nice to Haves - Experience with assessment and rubric development is a plus. - Familiarity with generative AI models or machine learning concepts is a bonus, but not required. * * * ## More Details About This Role: - This is a remote and asynchronous role — work on your own schedule. - Expect to contribute at least 20 hours per week. - Expect a commitment of around 2 months. - You’ll be working in a structured project environment with clear goals and tools. Application and Onboarding Process: - Submit your resume. - Complete an AI-led interview to assess language ability and professional experience. This should take around 15 minutes. - If selected, you’ll take a follow-up AI-led interview to assess your professional background. - You’ll then complete a paid work trial to determine if this type of work is suited for you. - After that, you’ll receive feedback and be onboarded to the project. * * * About Mercor: Mercor is a San Francisco-based company connecting top-tier professionals with cutting-edge AI initiatives. Backed by investors like Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey, we specialize in accelerating AI development through expert human collaboration.

Mercor is seeking native German speakers who are also education professionals based in Germany. This role combines your teaching and education expertise across a wide variety of different subjects with language mastery, helping train cutting-edge AI models in the education domain. You will leverage your background in education, alongside your bilingual communication skills, to create accurate, culturally nuanced, and technically precise content that reflects real-world education usage in German. * * * ## Role Responsibilities - Education Content Development: Translate, adapt, and synthesize complex nuances in education workflows and processes in Germany, reflecting curriculum standards and pedagogy across different educational domains. - Bilingual Communication: Write fluently in both German and English, ensuring precise education terminology and nuanced expression across languages. - Domain Expertise: Provide cultural insights specific to the German education system, including assessment, classes, norms at school, and more. - Collaboration: Work closely with reviewers and peers to refine content, validate accuracy, and align outputs with educational standard practices in Germany. * * * ## Ideal Candidates Should Have: - Language Skills: Native-level fluency in German with strong written and spoken English. - Education: Advanced degree in Teaching, Pedagogy, or a related field. - Experience: 2–6+ years of professional experience teaching in Germany. - Analytical Abilities: Excellent writing, analytical, and communication skills. Experience delivering and creating assessments to students is highly desired. - Nice to Haves - Experience with rubric development is a plus. - Familiarity with generative AI models or machine learning concepts is a bonus, but not required. * * * ## More Details About This Role: - This is a remote and asynchronous role — work on your own schedule. - Expect to contribute at least 20 hours per week. - Expect a commitment of around 2 months. - You’ll be working in a structured project environment with clear goals and tools. Application and Onboarding Process: - Submit your resume. - Complete an AI-led interview to assess language ability and professional experience. This should take around 15 minutes. - If selected, you’ll take a follow-up AI-led interview to assess your professional background. - You’ll then complete a paid work trial to determine if this type of work is suited for you. - After that, you’ll receive feedback and be onboarded to the project. * * * About Mercor: Mercor is a San Francisco-based company connecting top-tier professionals with cutting-edge AI initiatives. Backed by investors like Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey, we specialize in accelerating AI development through expert human collaboration.

About the Role Mercor is seeking experienced audio and video technicians to support a leading AI lab in advancing research and infrastructure for next-generation machine learning systems. This engagement focuses on diagnosing and solving real issues in your domain. It's an opportunity to contribute your expertise to cutting-edge AI research while working independently and remotely on your own schedule. ## Key Responsibilities - You’ll be asked to create deliverables regarding common requests regarding your professional domain - You’ll be asked to review peer developed deliverables to improve AI research ## Ideal Qualifications - 4+ years professional experience in your respective domain - Excellent written communication with strong grammar and spelling skills ## More About the Opportunity - Fully remote and asynchronous — complete work on your own schedule - Expected workload: 30 hours per week, with flexibility to scale up to 40 hours - Project start date: immediately, lasting for around 3-4 weeks ## Compensation & Contract Terms - Independent contractor engagement through Mercor - Hourly compensation, paid weekly via Stripe Connect - Payments based on services rendered; contractors maintain full control over their work schedule and methods . About Mercor - Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey - Thousands of professionals across domains like engineering, research, law, and creative services have partnered with Mercor on frontier AI projects We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request. ## Earn $250 by referring Share the referral link below, and earn $250 for each successful referral through this unique link. There's no limit on how many people you can refer. Restrictions may apply. [Learn

Role Overview We’re looking for Basketball experts — avid fans, sports journalists, commentators, and former or semi-professional players — to evaluate basketball games. You’ll watch basketball games and answer questions in real time assessing the quality, depth, and accuracy of AI insights, helping us refine our AI’s basketball reasoning, storytelling, and strategic understanding. NOTE: You need to be available to join the call today from 5 pm PT - 8 pm PT. ### Key Responsibilities - Game Evaluation: Watch basketball games and review AI-generated play-by-play commentary and post-game analysis. - Performance Scoring: Rate the accuracy, insight, and entertainment value of AI sports coverage. - Context & Understanding: Assess the AI’s grasp of player performance, game flow, and strategic decisions. - Error Detection: Identify factual mistakes, poor interpretations, or stylistic inconsistencies. - Feedback Reporting: Provide clear written feedback highlighting strengths, weaknesses, and improvement opportunities. - Collaboration: Work with analysts and developers to enhance the AI’s basketball-specific reasoning and realism. ### Required Qualifications - Basketball Expertise: Deep understanding of the game — whether through playing, coaching, commentating, or passionate fandom. - Analytical Thinking: Ability to evaluate basketball strategies, narratives, and statistical insights. - Communication Skills: Strong written English and ability to clearly articulate nuanced basketball insights. - Tech Readiness: Comfortable using online evaluation tools and dashboards. ### About Mercor Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across domains like engineering, research, law, and creative services have partnered with Mercor on frontier AI projects.

Mercor is seeking native Brazilian Portuguese speakers who are also finance professionals based in Brazil. This role combines your financial analysis and investment expertise with language mastery, helping train cutting-edge AI models in the finance domain. You will leverage your background in finance, alongside your bilingual communication skills, to create accurate, culturally nuanced, and technically precise content that reflects real-world finance usage in Portuguese * * * ## Role Responsibilities - Financial Content Development: Translate, adapt, and synthesize complex financial concepts into clear, structured rubrics and documentation for AI training. - Bilingual Communication: Write fluently in both Portuguese and English, ensuring precise financial terminology and nuanced expression across languages. - Domain Expertise: Provide cultural and financial insights specific to Brazilian markets, regulations, and practices, ensuring linguistic and contextual accuracy in professional finance settings. - Collaboration: Work closely with reviewers and peers to refine content, validate accuracy, and align outputs with financial industry standards. * * * ## Ideal Candidates Should Have: - Language Skills: Native-level fluency in Brazilian Portuguese with strong written and spoken English. - Education: Advanced degree in Finance, Economics, Accounting, Business Administration, or a related field. - Experience: 2–6+ years of professional experience in finance, banking, consulting, investment, or related financial sectors. - Analytical Abilities: Excellent writing, analytical, and communication skills. Experience in financial writing, instructional design, reporting, or academic publishing is highly valued. - Nice to Haves - Experience with grading, instructional design, or rubric development is a plus. - Familiarity with generative AI models or machine learning concepts is a bonus, but not required. * * * ## More Details About This Role: - This is a remote and asynchronous role — work on your own schedule. - Expect to contribute at least 20 hours per week. - Expect a commitment of around 2 months. - You’ll be working in a structured project environment with clear goals and tools. Application and Onboarding Process: - Submit your resume. - Complete an AI-led interview to assess Portuguese language ability and professional experience. This should take around 15 minutes. - If selected, you’ll take a follow-up AI-led interview to assess your professional background. - You’ll then complete a paid work trial to determine if this type of work is suited for you. - After that, you’ll receive feedback and be onboarded to the project. * * * About Mercor: Mercor is a San Francisco-based company connecting top-tier professionals with cutting-edge AI initiatives. Backed by investors like Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey, we specialize in accelerating AI development through expert human collaboration.

Mercor is seeking skilled evaluators to support an essential evaluation workflow in partnership with a leading AI research lab. This project focuses on improving model performance in the Consumer Electronics & Smart Home domain by evaluating agent-generated research reports related to the latest trends in consumer technology, smart home innovations, and product developments. ### Who We're Hiring We are looking for evaluators with experience or a background in Consumer Electronics, Smart Home technologies, or related fields. This workflow is ideal for individuals who: - Have experience in the consumer electronics or smart home industries. - Are familiar with emerging technologies and trends in consumer electronics, smart home products, and IoT (Internet of Things). - Can critically evaluate product information and market trends. - Are comfortable working independently and asynchronously. ### Key Responsibilities - Evaluate the quality and relevance of agent-generated research reports in the Consumer Electronics & Smart Home domain. - Provide structured feedback using a provided rubric and offer written justifications for your evaluations. - Work independently and asynchronously, ensuring that evaluations are completed within the set timeline. - Ensure that all reports are accurate, relevant, and clear. ### You’re a Strong Fit If You Have: - Experience or knowledge in Consumer Electronics, Smart Home technology, or IoT. - Strong analytical skills to assess product details, technological trends, and market relevance. - Excellent written communication skills to provide clear and actionable feedback. - Comfort working independently and asynchronously. ### Role Details - Part-time (15–30 hours/week) with flexible scheduling. - 100% remote and asynchronous — work from anywhere. - Contractor position via Mercor, paid hourly. - Competitive rates: $75–$90/hour depending on expertise. - Weekly payments processed securely through Stripe Connect. ### About Mercor Mercor is a San Francisco-based company that connects elite professionals with frontier AI research. Our backers include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Mercor is seeking highly qualified Medical Experts with strong clinical knowledge and excellent analytical skills to support a high-impact AI research initiative in partnership with a leading AI lab. In this role, you will evaluate and audit AI-generated medical outputs across a wide range of clinical and scientific tasks, ensuring accuracy, safety, and adherence to medical standards. * * * ## Key Responsibilities - Review and audit AI-generated medical content, including clinical explanations, differential diagnoses, treatment recommendations, research summaries, and patient-facing materials. - Evaluate medical text quality using structured rubrics (8–10 criteria), focusing on accuracy, evidence alignment, clarity, and risk/safety considerations. - Verify correctness of clinical reasoning, identifying logical gaps, unsafe recommendations, or unsupported claims. - Assess adherence to medical guidelines, best practices, and standard terminology. - Identify errors related to medical facts, pathophysiology, pharmacology, contraindications, or misinterpretation of clinical data. - Provide clear, concise written feedback to justify evaluation decisions. - Work independently and asynchronously using provided tools and workflows. * * * ## Qualifications - Advanced medical training (MD, DO, RN, PA, NP, clinical researcher, or equivalent background). - Strong understanding of clinical reasoning, diagnostic process, and evidence-based practice. - Experience in one or more of the following: - Clinical writing or reviewing - Medical education or exam preparation content - Research interpretation and summarization - Healthcare quality review or medical annotation tasks - Exceptional attention to detail and ability to follow complex guidelines. - Ability to work independently in a remote environment. * * * ## Role Details - Part-time: 30–40 hours per week - Fully remote and asynchronous - Flexible scheduling * * * ## Compensation - Contractor role via Mercor - $80–$100/hour, depending on experience - Weekly payments through Stripe Connect * * * ## About Mercor Mercor is a San Francisco–based company connecting top professionals to cutting-edge AI initiatives. Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. We partner with leading AI labs to accelerate innovation through high-quality human evaluation.

Mercor is seeking experienced evaluators to support an important evaluation workflow in partnership with a leading AI research lab. This project focuses on improving model performance in the Media & Ads domain by evaluating agent-generated research reports related to current media trends, advertising strategies, and market insights. ### Who We're Hiring We are looking for evaluators with experience or a background in Media, Advertising, Marketing, or Communications. This workflow is ideal for individuals who: - Have experience in the media and advertising industries, including digital marketing and content creation. - Are familiar with trends in digital advertising, social media, and consumer engagement strategies. - Can assess the quality of research and provide constructive feedback. - Are comfortable working independently and asynchronously. ### Key Responsibilities - Evaluate the quality and relevance of agent-generated research reports in the Media & Ads domain. - Provide structured feedback using a provided rubric and offer written justifications for your evaluations. - Work independently and asynchronously to meet deadlines and ensure high-quality assessments. - Ensure that all reports meet industry standards for accuracy, relevance, and clarity. ### You’re a Strong Fit If You Have: - Experience or knowledge in the Media & Ads industry, including digital advertising and marketing. - Strong analytical skills to assess trends, strategies, and the quality of research reports. - Excellent written communication skills to provide clear and actionable feedback. - Comfort working independently and asynchronously. ### Role Details - Part-time (20–40 hours/week) with flexible scheduling. - 100% remote and asynchronous — work from anywhere. - Contractor position via Mercor, paid hourly. - Competitive rates: $85–$105/hour depending on expertise. - Weekly payments processed securely through Stripe Connect. ### About Mercor Mercor is a San Francisco-based company that connects elite professionals with frontier AI research. Our backers include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.

1\. Role Overview Mercor is seeking experienced digital marketing analytics professionals to support a performance optimization project with a top-tier analytics consultancy. This engagement focuses on analyzing multi-channel advertising performance, auditing data quality, and developing visual reports to drive marketing strategy. Freelancers will apply their expertise in tools like Google Analytics, Facebook Ads Manager, and Excel modeling to deliver high-impact insights and recommendations. This is a high-priority, short-term contract with flexible hours and fully remote execution. * * * 2\. Key Responsibilities - Extract campaign data from advertising platforms (Google Ads, Facebook, LinkedIn, TikTok, etc.) - Calculate KPIs including CTR, CPC, CPA, ROAS, and conversion rates across channels - Compare performance across time periods and against budget targets - Create data visualizations and insights summaries in Google Sheets, PowerPoint, or Data Studio - Audit tracking setups and conversion reporting accuracy using GA4 and Tag Assistant - Build and manage UTM tracking templates for campaigns - Reconcile advertising costs against invoiced amounts, including currency conversions - Segment customer data from CRMs and create targeting recommendations - Develop budget optimization models and retention/cohort analyses using historical data - Design dashboards with automated data refresh and cross-channel KPI visualizations * * * 3\. Ideal Qualifications - 5+ years of experience in performance marketing analytics, media reporting, or marketing operations - Proficiency in Google Analytics 4, Facebook Ads Manager, LinkedIn Campaign Manager, and Google Sheets - Strong grasp of digital KPIs (CPA, ROAS, CTR, etc.) and budget/spend tracking - Experience with Excel-based modeling, cohort analysis, funnel breakdowns, and segmentation strategies - Familiarity with UTM tracking, tag auditing tools, and attribution model comparisons - Excellent attention to detail in calculations, formatting, and visualizations - Ability to work independently and deliver on weekly or monthly reporting deadlines * * * 4\. More About the Opportunity - Remote and asynchronous — work on your own schedule - Expected commitment: minimum 30 hours/week - Project duration: ~6 weeks * * * 5\. Compensation & Contract Terms - $100–150/hour for U.S.-based freelancers (localized rates may vary) - Paid weekly via Stripe Connect - You’ll be classified as an independent contractor * * * 6\. Application Process - Submit your resume followed by domain expertise interview and short form * * * 7\. About Mercor - Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI.

Mercor is seeking Lab Doctors (MD) for a project with one of the world’s top AI labs. You will work closely with research teams at a leading AI lab, applying your medical expertise to help evaluate, refine, and stress-test AI systems in a professional, structured environment. As part of this work, you will create both the diagnostic cases and the rubric to score a good response to the diagnostic case. You are a strong fit if you: - Are a U.S. based practicing MD - Have strong experience working with medical lab panels. Tasks are focused around lab based reasoning, so this is an important requirement. - Have a minimum of 3+ years of medical experience. - Possess excellent written and verbal communication skills in English. - Demonstrate exceptional attention to detail and analytical thinking. - Are comfortable working in a fully remote and asynchronous environment. - Have interest in advancing AI applications in medicine and healthcare. More About the Opportunity - Remote and asynchronous. - Expected commitment: 20-40 hours per week. Most experts put in a minimum of 10 hours per week to get the most out of the project. - This project will last for a minimum of three months, with the potential to extend longer. Compensation & Contract Terms - Applicants must be based in the US - This position is structured with clear expectations. - Payments issued weekly via Stripe Connect Application Process - Submit your resume to begin - After submitting your resume, please complete a short AI interview and a short form. - If you make it to the next stage in the process, you will complete a paid 2-3 training course - Upon completion of this course, you will be extended an offer to join the project - Follow-up typically occurs quickly - the AI industry moves fast! About Mercor Mercor specializes in recruiting experts for top AI labs and is based in San Francisco, CA. Our investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Mercor is seeking native Mandarin speakers who can read/write in Simplified Chinese and are also medical professionals who have worked in China. This role combines your clinical expertise with language mastery, helping train cutting-edge AI models in the healthcare domain. You will leverage your background in medicine, alongside your bilingual communication skills, to create accurate, culturally nuanced, and technically precise content that reflects real-world medical usage in China. * * * ## Role Responsibilities - Medical Content Development: Translate, adapt, and synthesize complex medical concepts into clear, structured rubrics for AI training. - Bilingual Communication: Write fluently in both Simplified Chinese and English, ensuring accurate terminology and nuanced expression across languages. - Domain Expertise: Provide cultural and medical insights specific to Chinese healthcare, ensuring linguistic accuracy in clinical and professional contexts. - Collaboration: Work closely with reviewers and peers to refine content. * * * ## Ideal Candidates Should Have: - Language Skills: Native-level fluency in Mandarin with strong written and spoken English. - Education: Advanced degree (MD or PhD in related healthcare field). - Experience: 2–6+ years of medical practice, research, or healthcare-related professional experience. - Analytical Abilities: Excellent writing, analytical, and communication skills. Experience in medical writing, instructional design, or academic publishing. - Nice to Haves - Experience with grading, instructional design, or rubric development is a plus. - Familiarity with generative AI models or machine learning concepts is a bonus, but not required. * * * ## More Details About This Role: - This is a remote and asynchronous role — work on your own schedule. - Expect to contribute at least 20 hours per week. - Expect a commitment of around 2 months. - You’ll be working in a structured project environment with clear goals and tools. Application and Onboarding Process: - Submit your resume. - Complete an AI-led interview to assess language ability and professional experience. This should take around 15 minutes. - If selected, you’ll take a follow-up AI-led interview to assess your professional background. - You’ll then complete a paid work trial to determine if this type of work is suited for you. - After that, you’ll receive feedback and be onboarded to the project. * * * About Mercor: Mercor is a San Francisco-based company connecting top-tier professionals with cutting-edge AI initiatives. Backed by investors like Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey, we specialize in accelerating AI development through expert human collaboration.

Mercor is partnering with a cutting-edge AI research lab to hire a Senior Data/Analytics Engineer with expertise across DBT and Snowflake’s Cortex CLI. In this role, you will build and scale Snowflake-native data and ML pipelines, leveraging Cortex’s emerging AI/ML capabilities while maintaining production-grade DBT transformations. You will work closely with data engineering, analytics, and ML teams to prototype, operationalise, and optimise AI-driven workflows—defining best practices for Snowflake-native feature engineering and model lifecycle management.This is a high-impact role within a modern, fully cloud-native data stack. * * * ## Responsibilities - Design, build, and maintain DBT models, macros, and tests following modular data modeling and semantic best practices. - Integrate DBT workflows with Snowflake Cortex CLI, enabling: - Feature engineering pipelines - Model training & inference tasks - Automated pipeline orchestration - Monitoring and evaluation of Cortex-driven ML models - Establish best practices for DBT–Cortex architecture and usage patterns. - Collaborate with data scientists and ML engineers to produce Cortex workloads in Snowflake. - Build and optimise CI/CD pipelines for dbt (GitHub Actions, GitLab, Azure DevOps). - Tune Snowflake compute and queries for performance and cost efficiency. - Troubleshoot issues across DBT arti-facts, Snowflake objects, lineage, and data quality. - Provide guidance on DBT project governance, structure, documentation, and testing frameworks. * * * ## Required Qualifications - 3+ years experience with DBT Core or DBT Cloud, including macros, packages, testing, and deployments. - Strong expertise with Snowflake (warehouses, tasks, streams, materialised views, performance tuning). - Hands-on experience with Snowflake Cortex CLI, or strong ability to learn it quickly. - Strong SQL skills; working familiarity with Python for scripting and DBT automation. - Experience integrating DBT with orchestration tools (Airflow, Dagster, Prefect, etc.). - Solid understanding of modern data engineering, ELT patterns, and version-controlled analytics development. * * * ## Nice-to-Have Skills - Prior experience operationalising ML workflows inside Snowflake. - Familiarity with Snow-park, Python UDFs/UDTFs. - Experience building semantic layers using DBT metrics. - Knowledge of MLOps / DataOps best practices. - Exposure to LLM workflows, vector search, and unstructured data pipelines. * * * ## Why Join - You will be an hourly contractor through Mercor, working 20–40 hours per week with flexibility. - Direct opportunity to build next-generation Snowflake AI/ML systems with Cortex. - High-impact ownership of DBT and Snowflake architecture across production pipelines. - Work alongside top-tier ML engineers, data scientists, and research teams. - Fully remote, high-autonomy environment focused on innovation, velocity, and engineering excellence.

Mercor is seeking native German speakers who are also marketing professionals based in Germany. This role combines your marketing expertise across a wide variety of different subjects with language mastery, helping train cutting-edge AI models in the marketing domain. You will leverage your background in marketing, alongside your bilingual communication skills, to create accurate, culturally nuanced, and technically precise content that reflects real-world marketing usage in Germany. * * * ## Role Responsibilities - Marketing Content Development: Translate, adapt, and synthesize complex calculations, analytics, and practices in marketing in Germany. - Bilingual Communication: Write fluently in both German and English, ensuring correct marketing terminology and nuanced expression across languages. - Domain Expertise: Provide cultural insights specific to German marketing, reflecting cultural norms and media habits that drive marketing effectiveness. - Collaboration: Work closely with reviewers and peers to refine content, validate accuracy, and align outputs with marketing standard practices in Germany. * * * ## Ideal Candidates Should Have: - Language Skills: Native-level fluency in German with strong written and spoken English. - Education: Degree in marketing, communications, advertising, or a similar field. - Experience: 2–6+ years of experience in marketing in Germany. - Analytical Abilities: Excellent writing, analytical, and communication skills. - Nice to Haves - Experience with assessment and rubric development is a plus. - Familiarity with generative AI models or machine learning concepts is a bonus, but not required. * * * ## More Details About This Role: - This is a remote and asynchronous role — work on your own schedule. - Expect to contribute at least 20 hours per week. - Expect a commitment of around 2 months. - You’ll be working in a structured project environment with clear goals and tools. Application and Onboarding Process: - Submit your resume. - Complete an AI-led interview to assess language ability and professional experience. This should take around 15 minutes. - If selected, you’ll take a follow-up AI-led interview to assess your professional background. - You’ll then complete a paid work trial to determine if this type of work is suited for you. - After that, you’ll receive feedback and be onboarded to the project. * * * About Mercor: Mercor is a San Francisco-based company connecting top-tier professionals with cutting-edge AI initiatives. Backed by investors like Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey, we specialize in accelerating AI development through expert human collaboration.

Mercor is seeking native Spanish speakers who are also government or public policy professionals based in Latin America or Spain.

Mercor is seeking native German speakers who are also finance professionals based in Germany. This role combines your financial analysis and investment expertise with language mastery, helping train cutting-edge AI models in the finance domain. You will leverage your background in finance, alongside your bilingual communication skills, to create accurate, culturally nuanced, and technically precise content that reflects real-world finance usage in Germany. * * * ## Role Responsibilities - Financial Content Development: Translate, adapt, and synthesize complex financial concepts into clear, structured rubrics and documentation for AI training. - Bilingual Communication: Write fluently in both German and English, ensuring precise financial terminology and nuanced expression across languages. - Domain Expertise: Provide cultural and financial insights specific to German markets, regulations, and practices, ensuring linguistic and contextual accuracy in professional finance settings. - Collaboration: Work closely with reviewers and peers to refine content, validate accuracy, and align outputs with financial industry standards. * * * ## Ideal Candidates Should Have: - Language Skills: Native-level fluency in German with strong written and spoken English. - Education: Advanced degree in Finance, Economics, Accounting, Business Administration, or a related field. - Experience: 2–6+ years of professional experience in finance, banking, consulting, investment, or related financial sectors. - Analytical Abilities: Excellent writing, analytical, and communication skills. Experience in financial writing, instructional design, reporting, or academic publishing is highly valued. - Nice to Haves - Experience with grading, instructional design, or rubric development is a plus. - Familiarity with generative AI models or machine learning concepts is a bonus, but not required. * * * ## More Details About This Role: - This is a remote and asynchronous role — work on your own schedule. - Expect to contribute at least 20 hours per week. - Expect a commitment of around 2 months. - You’ll be working in a structured project environment with clear goals and tools. Application and Onboarding Process: - Submit your resume. - Complete an AI-led interview to assess language ability and professional experience. This should take around 15 minutes. - If selected, you’ll take a follow-up AI-led interview to assess your professional background. - You’ll then complete a paid work trial to determine if this type of work is suited for you. - After that, you’ll receive feedback and be onboarded to the project. * * * About Mercor: Mercor is a San Francisco-based company connecting top-tier professionals with cutting-edge AI initiatives. Backed by investors like Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey, we specialize in accelerating AI development through expert human collaboration.

Role Overview We’re looking for Cricket experts — avid fans, sports journalists, commentators, and former or semi-professional players — to evaluate cricket games. You’ll watch cricket games and answer questions in real time assessing the quality, depth, and accuracy of AI insights, helping us refine our AI’s cricket reasoning, storytelling, and strategic understanding. ### Key Responsibilities - Game Evaluation: Watch cricket games and review AI-generated play-by-play commentary and post-game analysis. - Performance Scoring: Rate the accuracy, insight, and entertainment value of AI sports coverage. - Context & Understanding: Assess the AI’s grasp of player performance, game flow, and strategic decisions. - Error Detection: Identify factual mistakes, poor interpretations, or stylistic inconsistencies. - Feedback Reporting: Provide clear written feedback highlighting strengths, weaknesses, and improvement opportunities. - Collaboration: Work with analysts and developers to enhance the AI’s cricket-specific reasoning and realism. ### Required Qualifications - Cricket Expertise: Deep understanding of the game — whether through playing, coaching, commentating, or passionate fandom. - Analytical Thinking: Ability to evaluate cricket strategies, narratives, and statistical insights. - Communication Skills: Strong written English and ability to clearly articulate nuanced cricket insights. - Tech Readiness: Comfortable using online evaluation tools and dashboards. ### Compensation & Contract Terms - $57–66/hour for applicants based in the US or South Africa - $19–22/hour for applicants based in India - You’ll be classified as an independent contractor ### About Mercor Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across domains like engineering, research, law, and creative services have partnered with Mercor on frontier AI projects.

Mercor is seeking native Mandarin speakers who can read/write Simplified Chinese and are also education professionals who have worked in China. This role combines your teaching and education expertise across a wide variety of different subjects with language mastery, helping train cutting-edge AI models in the education domain. You will leverage your background in education, alongside your bilingual communication skills, to create accurate, culturally nuanced, and technically precise content that reflects real-world education usage in China. * * * ## Role Responsibilities - Education Content Development: Translate, adapt, and synthesize complex nuances in education workflows and processes in China, reflecting curriculum standards and pedagogy across different educational domains. - Bilingual Communication: Write fluently in both Simplified Chinese and English, ensuring precise education terminology and nuanced expression across languages. - Domain Expertise: Provide cultural insights specific to the Chinese education system, including assessment, classes, norms at school, and more. - Collaboration: Work closely with reviewers and peers to refine content, validate accuracy, and align outputs with educational standard practices in China. * * * ## Ideal Candidates Should Have: - Language Skills: Native-level fluency in Mandarin with strong written and spoken English. - Education: Advanced degree in Teaching, Pedagogy, or a related field. - Experience: 2–6+ years of professional experience teaching in China. - Analytical Abilities: Excellent writing, analytical, and communication skills. Experience delivering and creating assessments to students is highly desired. - Nice to Haves - Experience with rubric development is a plus. - Familiarity with generative AI models or machine learning concepts is a bonus, but not required. * * * ## More Details About This Role: - This is a remote and asynchronous role — work on your own schedule. - Expect to contribute at least 20 hours per week. - Expect a commitment of around 2 months. - You’ll be working in a structured project environment with clear goals and tools. Application and Onboarding Process: - Submit your resume. - Complete an AI-led interview to assess language ability and professional experience. This should take around 15 minutes. - If selected, you’ll take a follow-up AI-led interview to assess your professional background. - You’ll then complete a paid work trial to determine if this type of work is suited for you. - After that, you’ll receive feedback and be onboarded to the project. * * * About Mercor: Mercor is a San Francisco-based company connecting top-tier professionals with cutting-edge AI initiatives. Backed by investors like Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey, we specialize in accelerating AI development through expert human collaboration.

Role Overview Mercor is seeking experienced insurance underwriting professionals to collaborate with a technology-driven risk analytics partner. Freelancers will support the development and evaluation of automated insurance workflows, contributing expert insight to improve AI systems handling underwriting, risk assessment, and rating logic. This opportunity is ideal for professionals with property and casualty underwriting experience looking to apply their knowledge in a forward-looking, project-based environment. Key Responsibilities - Evaluate application data, loss history, and third-party reports (e.g., CLUE, MVR, LexisNexis) to determine underwriting acceptability. - Calculate insurance premiums using ISO manuals, class codes, and company-specific rating algorithms. - Analyze historical claims to assess loss trends and calculate loss ratios against industry benchmarks. - Draft policy terms and compile coverage documents including endorsements and declarations. - Review referred cases and provide documented decisions with clear rationale and risk treatment recommendations. Ideal Qualifications - 5+ years in commercial or personal lines underwriting, preferably with experience using platforms like Guidewire or Duck Creek. - Familiarity with ISO classification codes, rating manuals, and policy forms. - Strong attention to detail and ability to assess risk across various data inputs. - Proven track record of working with multi-line policies (property, auto, general liability). - Experience reviewing and interpreting third-party reports (CLUE, MVR, LexisNexis, etc.). More About the Opportunity - Remote and asynchronous — control your own work schedule - Expected commitment: min 30 hours/week - Project duration: ~6 weeks Compensation & Contract Terms - $50-80/hour - Independent contractor arrangement - Paid weekly via Stripe Connect Application Process - Submit your resume followed by domain expertise interview and short form About Mercor - Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI

Mercor is seeking Mathematics Olympiad Medalists for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving state-of-the-art large language models. Specifically, you will help create high-quality data that will inform the future of AI innovation by coming up with difficult problems in your domain. You're a good fit if you: - Have had success in Mathematics Olympiads as a medalist - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have exceptional English proficiency. Here are more details about the role: - You will interface directly with prominent AI researchers from the lab in a private Slack channel - The role is ongoing starting in June and continuing with rolling applications. - The project is 10-20 hours of work per week with potential to be extended to 40 hours per week - The work is fully remote and asynchronous so it can flexible and subject to your schedule - This project is scoped to last a minimum of 1-2 months With respect to pay and legal status: - You will be legally classified as an hourly contractor for Mercor - We will pay you out at the end of each week via Stripe Connect Screening Process: - You will need to complete a short interview and form which will take in total 20-30 min to fully apply. ## About Mercor Mercor specializes in recruiting experts for top AI labs and is based in San Francisco, CA. Our investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey. * * * Apply today and leverage your leadership and technical expertise to advance cutting-edge AI models!

Mercor is seeking native German speakers who are also government or public policy professionals based in Germany. This role combines your public policy expertise with language mastery, helping train cutting-edge AI models in the public policy domain. You will leverage your background in public policy, alongside your bilingual communication skills, to create accurate, culturally nuanced, and technically precise content that reflects real-world policy usage in German. * * * ## Role Responsibilities - Public Policy Content Development: Translate, adapt, and synthesize complex policy frameworks into clear, structured rubrics for AI training. - Bilingual Communication: Write fluently in both German and English, ensuring accurate terminology and nuanced expression across languages. - Domain Expertise: Provide cultural and policy insights that are unique to the public in Germany. - Collaboration: Work closely with reviewers and peers to refine content. * * * ## Ideal Candidates Should Have: - Language Skills: Native-level fluency in German with strong written and spoken English. - Education: Degree in policy, political science, sociology, or another similar field. - Experience: 2–6+ years of experience in politics, public policy, think tanks, etc. - Analytical Abilities: Excellent writing, analytical, and communication skills. Experience in policy writing, instructional design, or academic publishing. - Nice to Haves - Experience with grading, instructional design, or rubric development is a plus. - Familiarity with generative AI models or machine learning concepts is a bonus, but not required. * * * ## More Details About This Role: - This is a remote and asynchronous role — work on your own schedule. - Expect to contribute at least 20 hours per week. - Expect a commitment of around 2 months. - You’ll be working in a structured project environment with clear goals and tools. Application and Onboarding Process: - Submit your resume. - Complete an AI-led interview to assess language ability and professional experience. This should take around 15 minutes. - If selected, you’ll take a follow-up AI-led interview to assess your professional background. - You’ll then complete a paid work trial to determine if this type of work is suited for you. - After that, you’ll receive feedback and be onboarded to the project. * * * About Mercor: Mercor is a San Francisco-based company connecting top-tier professionals with cutting-edge AI initiatives. Backed by investors like Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey, we specialize in accelerating AI development through expert human collaboration.

Mercor is recruiting U.S./UK/Canada/Europe/Australia-based Private Equity Experts for a research project with a leading foundational model AI lab. You are a good fit if you: - Have at least 2 years of experience working in private equity at top firms and experience in at least one of the following - Financial modeling - Market sizing/TAM analysis - Investment/analysis summaries and memos - CIM creation and due diligence - NDA/legal document processing - Sourcing for deals Here are more details about the role: - The work is fully asynchronous and can be done around your schedule - You must be able to commit at least 10 hours per week for this role - This is a minimum four week engagement beginning in October, with potential for significant extension or rotation to similar, future projects - Successful contributions increase the odds that you are selected on future projects with Mercor With respect to pay and legal status: - This role will pay $130/hour with potential for increases for top performers - We will pay you out at the end of each week via Stripe Connect based on the number of hours you log - You will be classified as an “at-will” contractor to Mercor

Mercor is seeking native Mandarin speakers who can read/write Traditional Chinese and are also government or public policy professionals based in Taiwan.

About the Role Mercor is seeking experienced Medical Secretaries and Administrative Assistants to support a leading AI lab in advancing research and infrastructure for next-generation machine learning systems. This engagement focuses on diagnosing and solving real issues in your domain. It's an opportunity to contribute your expertise to cutting-edge AI research while working independently and remotely on your own schedule. ## Key Responsibilities - You’ll be asked to create deliverables regarding common requests within your professional domain - You’ll be asked to review peer developed deliverables to improve AI research ## Ideal Qualifications - 4+ years professional experience in your respective field - Excellent written communication with strong grammar and spelling skills ## More About the Opportunity - Fully remote and asynchronous — complete work on your own schedule - Expected workload: ~30 hours per week, with flexibility to scale up to 40 hours - Project start date: immediately, lasting for around 3-4 weeks ## Compensation & Contract Terms - Independent contractor engagement through Mercor - Hourly compensation, paid weekly via Stripe Connect - Payments based on services rendered; contractors maintain full control over their work schedule and methods About Mercor - Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey - Thousands of professionals across domains like engineering, research, law, and creative services have partnered with Mercor on frontier AI projects We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request. ## Earn $200 by referring Share the referral link below, and earn $200 for each successful referral through this unique link. There's no limit on how many people you can refer. Restrictions may apply. [Learn

Mercor is seeking native Spanish speakers who are also education professionals based in Spain, Mexico, Central America, or South America. This role combines your teaching and education expertise across a wide variety of different subjects with language mastery, helping train cutting-edge AI models in the education domain. You will leverage your background in education, alongside your bilingual communication skills, to create accurate, culturally nuanced, and technically precise content that reflects real-world education usage in Spanish. * * * ## Role Responsibilities - Education Content Development: Translate, adapt, and synthesize complex nuances in education workflows and processes in Spain or Latin America, reflecting curriculum standards and pedagogy across different educational domains. - Bilingual Communication: Write fluently in both Spanish and English, ensuring precise education terminology and nuanced expression across languages. - Domain Expertise: Provide cultural insights specific to the Latin American education system, including assessment, classes, norms at school, and more. - Collaboration: Work closely with reviewers and peers to refine content, validate accuracy, and align outputs with educational standard practices in Spain or Latin America. * * * ## Ideal Candidates Should Have: - Language Skills: Native-level fluency in Spanish with strong written and spoken English. - Education: Advanced degree in Teaching, Pedagogy, or a related field. - Experience: 2–6+ years of professional experience teaching in Latin America. - Analytical Abilities: Excellent writing, analytical, and communication skills. Experience delivering and creating assessments to students is highly desired. - Nice to Haves - Experience with rubric development is a plus. - Familiarity with generative AI models or machine learning concepts is a bonus, but not required. * * * ## More Details About This Role: - This is a remote and asynchronous role — work on your own schedule. - Expect to contribute at least 20 hours per week. - Expect a commitment of around 2 months. - You’ll be working in a structured project environment with clear goals and tools. Application and Onboarding Process: - Submit your resume. - Complete an AI-led interview to assess language ability and professional experience. This should take around 15 minutes. - If selected, you’ll take a follow-up AI-led interview to assess your professional background. - You’ll then complete a paid work trial to determine if this type of work is suited for you. - After that, you’ll receive feedback and be onboarded to the project. * * * About Mercor: Mercor is a San Francisco-based company connecting top-tier professionals with cutting-edge AI initiatives. Backed by investors like Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey, we specialize in accelerating AI development through expert human collaboration.

Role OverviewMercor is collaborating with a global insurance and financial services client to support actuarial modeling processes via high-quality data preparation. We are seeking actuarial professionals with experience in seriatim data extraction, cleansing, and validation from life insurance policy administration systems. This opportunity centers around ensuring reliable, audit-ready datasets for valuation, modeling, and financial reporting workflows. This is a short-term, project-based opportunity with high autonomy and clearly scoped deliverables. Key Responsibilities - Extract policy-level data for a given valuation date from systems such as FAST, OIPA, or Sapiens. - Validate record counts against control totals and identify missing or inconsistent fields. - Reconcile in-force movements between periods, including new issues and terminations. - Identify and flag policies with anomalous data for manual review. - Map product codes to actuarial model inputs and document data assumptions. - Deliver a clean, formatted dataset suitable for actuarial projection software. Ideal Qualifications - 5+ years of experience in actuarial data processing or valuation support. - Familiarity with life insurance policy administration systems (e.g., OIPA, FAST, LIFE/400). - Proficiency with Excel and data quality tools; basic scripting knowledge (SQL, Python) is a plus. - Strong attention to detail and understanding of actuarial data structures. - Ability to clearly document data anomalies and reconciliation logic. More About the Opportunity - Remote and asynchronous — control your own work schedule - Expected commitment: min 30 hours/week - Project duration: ~6 weeks Compensation & Contract Terms - $75–100/hour - Independent contractor arrangement - Paid weekly via Stripe Connect Application Process - Submit your resume followed by domain expertise interview and short form About Mercor - Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI.

1\. Role Overview Mercor is partnering with a leading research organization seeking independent experts with strong backgrounds in artificial intelligence and machine learning. Contractors will support a study focused on evaluating the quality, novelty, and methodological rigor of modern ML research. This engagement involves analyzing academic papers, inspecting code and experiment logs, and assessing the credibility and originality of submitted work. This is a short-term, flexible contract suitable for technically proficient AI researchers and practitioners. * * * ### 2\. Key Responsibilities - Critically review machine learning papers for methodological soundness, novelty, and clarity. - Inspect Python source code and experimental logs to validate reported metrics against underlying data. - Conduct literature reviews using tools such as Google Scholar or Semantic Scholar to identify prior work, detect plagiarism, and assess research originality. - Provide structured feedback on “human-quality” research assessments and potential ethical or safety-related concerns. - Submit non-identifying background details (e.g., affiliation, highest degree, publication links) to establish evaluator credibility for the study. * * * ### 3\. Ideal Qualifications - Strong academic or professional background in artificial intelligence, machine learning, or related research domains. - Experience interpreting and analyzing ML papers; familiarity with top-tier venues (e.g., NeurIPS, ICLR, ICML) is preferred but not required. - Ability to read and evaluate Python code, experimental pipelines, and quantitative logs. - Demonstrated experience with academic literature review tools. - Doctoral students, industry researchers, and published authors are encouraged to provide services. - High attention to detail and ability to assess complex technical arguments. * * * ### 4\. Contract Terms - Payments are issued regularly based on completed work via Mercor’s platform. - Start date: Immediate. * * * ### 5\. Application Process - Submit your resume or CV to begin. - Complete a brief form outlining your technical background and relevant publications. - Additional screening questions or sample evaluations may be requested to confirm expertise. - You will be contacted with next steps shortly after submission. * * * ### 6\. About Mercor - Mercor is a talent marketplace connecting top experts with leading AI labs and research organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of professionals across domains such as research, engineering, law, and creative work partner through Mercor to support frontier AI projects.