# Mercor > Mercor connects experts with frontier AI labs to train and evaluate > models. We publish the APEX benchmarks, which measure AI performance > on real professional work in software engineering, accounting, > law, medicine, finance and consulting. ## Benchmarks ### APEX URL: https://www.mercor.com/apex/ the AI Productivity Index, our benchmark suite The Mercor AI Productivity Index (APEX) is a family of benchmarks that measure how effectively AI models and agents perform economically valuable tasks. It provides data-driven, real-world productivity metrics across high-value sectors, like software engineering, corporate law, investment banking, accounting, and management consulting. The suite includes benchmarks such as APEX-Agents, which evaluates long-horizon, multi-step agent workflows; APEX-SWE, focused on software engineering; APEX-Accounting, focused on agentic accounting tasks; and APEX-1, which evaluates single-turn expert knowledge work. Additional benchmarks will be introduced as APEX expands into new domains, data types, and workflows. What are Mercor's APEX benchmarks and how do they work? Rankings can change whenever a frontier model is released. New models are evaluated on APEX-Agents, APEX-SWE, APEX-Accounting and APEX-1 when they ship. Which model scores highest on APEX? Practicing professionals from leading firms that the tasks simulate, including attorneys from Latham & Watkins, Skadden, and Cravath; consultants from McKinsey and BCG; bankers from Goldman Sachs, Morgan Stanley, and JPMorgan; and physicians from Brigham & Women's, UPenn, and Northwestern. Who writes the APEX tasks? Yes, on the open subset. The eval harness is published on GitHub and sample tasks are on HuggingFace, so you can run the same scoring pipeline against your own model. The full task set stays private so that models can't be trained on it. Can I reproduce APEX results myself? Frontier labs and model developers can request evaluation using this form . How do I get my model evaluated on APEX? Yes. Mercor licenses off-the-shelf datasets built by the same expert network. 50,000+ tasks across 30+ domains, with samples available the same day. Learn more about off-the-shelf data . Can I license APEX data for training? Frequently Asked Questions ### APEX-SWE URL: https://www.mercor.com/apex/apex-swe-leaderboard/ software engineering leaderboard ### APEX-Agents URL: https://www.mercor.com/apex/apex-agents-leaderboard/ agentic professional work leaderboard ### APEX-Accounting URL: https://www.mercor.com/apex/apex-accounting-leaderboard/ accounting leaderboard, built with Ramp ### APEX v1 URL: https://www.mercor.com/apex/apex-v1-leaderboard/ original leaderboard across four professions ### Off-the-shelf data URL: https://www.mercor.com/apex/off-the-shelf-data/ pre-built datasets ## Research ### Research URL: https://www.mercor.com/research/ benchmarks, eval environments, human datasets Benchmarks Oct 15, 2026 Specializing NVIDIA Nemotron 3.5 Super for legal, software and accounting work Oct 10, 2026 Why Mercor is building a research team Oct 1, 2026 Human Baselines for Benchmarks: AI Now Outperforms Junior Accountants Sep 8, 2026 Introducing APEX-Agents 1.1 Sep 1, 2026 Training frontier knowledge work agents: A 397B RL training guide with SkyRL Jul 31, 2026 Introducing the AI Productivity Index for Accounting Mar 24, 2026 A new benchmark that measures whether frontier AI models can handle real software engineering work Introducing the AI Productivity Index for software engineering Jan 21, 2026 Our new benchmark designed to test how well AI agents complete real, long-horizon tasks in investment banking, consulting, and corporate law. Introducing APEX-Agents Dec 10, 2025 Bridging the gap between AI evaluation and economic value Expanding the AI Productivity Index (APEX) Sep 15, 2025 The market for humans teaching models is based on the amount of tasks humans can't do. The Economy will become an RL environment Mercor blog View benchmarks We develop benchmarks, evaluation environments, and large-scale human datasets to fuel AI breakthroughs at the frontier, all through our marketplace of top-tier experts. Frontier data for frontier AI When model capabilities reach their limits, progress depends on data quality. Mercor's talent platform mobilizes deep subject-matter experts across professional and consumer domains to produce specialized data at scale. Frontier data Frontier-grade data unlocks advanced reasoning, long-horizon planning, tool use, and safe behavior under uncertainty. We power meaningful gains with novel datasets that are realistic, challenging, and diverse. Model improvements We build reinforcement learning (RL) environments in three steps: creating realistic data-rich worlds that capture real behavior, implementing the tools and applications that agents need to interact with the world, and making rigorous tasks and verifiers. RL environments Mercor is used by the top 5 AI labs and 6 of the Mag 7. Data, evals, and post-training at the frontier Annotations M+ Experts Domains + ### Best AI models by profession URL: https://www.mercor.com/resources/apex/ which models perform best per role ### LMSYS Chatbot Arena vs Mercor APEX URL: https://www.mercor.com/resources/apex/lmsys-chatbot-arena-vs-mercor-apex/ ## For experts ### Experts URL: https://www.mercor.com/experts/ paid AI training work by domain ### Business Operations URL: https://www.mercor.com/experts/business-operations/ Train and evaluate frontier AI models on real business work. Mercor connects finance, GTM, HR and operations experts with paid remote projects from $50/hr. Strategic decisions carry constraints that never make it into the documentation. A capital allocation logic applied by habit, or the reason a portfolio move stalled that nobody recorded. Corporate Strategy Strategic Planning Business Strategy Corporate Planning Corporate Strategy & Planning Transactions turn on structure and on what a board will approve at a given moment. Accounting judgment shows up where the standards leave room, particularly when materiality is genuinely in question. FP&A Corporate Development Financial Reporting Technical Accounting Treasury Finance, Accounting & Transactions A $1M ACV enterprise deal involves a buying committee, a procurement cycle that adds months, a legal review that often kills the original structure, and a champion who changes jobs halfway through. Almost none of that is written down anywhere public. Enterprise Sales B2B Sales Revenue Operations Demand Generation Pricing Go-to-Market & Revenue Judging creative work means holding it against a brief and a business objective at the same time. That calibration is difficult to describe and harder to fake. Brand Strategy Creative Direction Campaign Development Messaging & Positioning Brand & Creative Roadmap decisions get made against incomplete evidence, competing internal priorities, and a governance process that moves at its own speed. Product Strategy Discovery & Research Pricing & Packaging Platform Product Product Management Compensation and employee relations decisions sit inside employment law that varies by jurisdiction. A change that clears Title VII and FLSA in the US can still trigger consultation obligations under EU labor directives. HR Leadership Employee Relations Compensation & Benefits Employment Law People, Compensation & Employment Compliance Decisions move through organizations slowly and unevenly. Approval chains, vendor negotiations, and dependencies that surface late are hard to appreciate from outside a company. Procurement Vendor Management Program Management Supply Chain Business Operations Operations & Procurement How Mercor uses business expertise Evaluate Assess AI-generated documents, spreadsheets, and slide decks against domain quality criteria Identify factual, analytical, and presentation errors Create Produce reference work products in your function Write the criteria used to grade them Test Design scenarios with missing information, competing stakeholders, or regulatory constraints Build cases where the obvious answer fails Review Score work samples with written justification for every score Calibrate your judgment against other reviewers What kinds of business tasks will I work on? Every listing asks for five or more years in your function. Beyond that, the bar varies by project. Some ask for direct ownership at Fortune 500 scale, including CHRO-level people programs, board-level strategic recommendations, or F500 product lines. Others ask for deep craft fluency without requiring executive scope. What experience level is expected? Both operating and advisory backgrounds work, and different projects want different things. Our teams actively recruit from consulting and agencies such as McKinsey, BCG, Bain, Korn Ferry, and top-tier global creative agencies. What type of work experience is most relevant? No. On most projects you are defining what excellent work looks like and explaining your reasoning in writing. Some projects ask you to produce the reference deliverable. Others ask you to score work someone else produced. No AI background is required. Prior experience with AI training or evaluation work is a plus on some listings. Is this prompt engineering? Five or more years in the function, with direct ownership of decisions or programs Fluency in the systems the function runs on, such as Workday, Salesforce, Jira, Amplitude, or Anaplan Strong written communication, since most deliverables and all justifications are written Comfort having your judgment reviewed and calibrated against peers Proficiency in Google Workspace and Microsoft Office, particularly Slides and PowerPoint Recognized credentials where they apply, such as CPA, CFA, SHRM-SCP, or SPHR What makes a strong candidate? Compensation varies by project, function, and experience. Some projects pay hourly. Others pay a fixed rate per completed deliverable. HR Expert: $70 to $80 / hour Accounting Expert: $70 to $80 / hour Sales and Marketing Expert: $60 to $70 / hour How much does the work pay? Frequently Asked Questions Explore AI training roles for business professionals Frontier AI labs are training models to do corporate work. Financial planning, deal structuring, compensation design, enterprise selling. Business Operations opportunities Mercor connects finance leaders, GTM operators, marketing professionals, HR executives, and business operators with the AI labs building these systems. Remote, paid project work starting at $50/hr. Meet Jay International business consultant Meet Matt Banker & MBA student Meet Natasha Finance leader Testimonials from business experts You build the deliverable yourself from mock source files. Then you write the rubric that determines how the next person's version gets scored. Read model output the way you would read a first draft from someone on your team. The last pass before work gets used. You check it against whoever would see it in a real organization. The work Some projects ask you to break the model on purpose. Labs are building models that plan budgets and structure transactions. The people grading those models decide what the models learn to treat as correct. Work at the frontier of AI Contribute from anywhere and choose projects that fit your schedule. Work independently without long-term commitments or fixed hours. Flexible, remote work Hourly projects range from $50 to $100+/hour depending on expertise and project complexity. Task-based projects pay per completed deliverable, currently up to $1,000 per work product. Earn competitive compensation Every task you build gets used to score model output. Write the rubrics based on your business expertise. Your rubric becomes the grading standard Why Mercor ### Creative experts URL: https://www.mercor.com/experts/creative/ Earn $60-$120/hr putting your creative skills to work training AI. Mercor matches writers, designers, and artists with remote AI training jobs. Apply for free today! Know when a brand has been captured and when it's only been copied. Review AI-generated work for the decisions that make an identity feel cohesive, distinctive, and true to the original. Brand Strategy Visual Identity Systems Art Direction Design Critique Brand & visual identity Good copy does more than communicate. Review AI-generated writing for voice, pacing, and intent, and explain why one version resonates while another falls flat. Editorial Strategy Creative Copywriting Content Marketing Copywriting & content strategy Some images look realistic while others feel cinematic. Evaluate generated visuals for lighting, composition, and continuity using the standards you'd apply on set. Cinematography Lighting Design Composition Visual Storytelling Lighting & cinematography Review performances for timing, expression, and physicality, and identify what makes a character feel convincing.. Character Animation Performance Animation Facial Animation Character Acting Performance & animation Video is shaped in the edit. Assess AI-generated footage for timing, structure, and whether each creative decision serves the story. Video Editing Motion Design Post-Production Narrative Structure Motion & video production Help evaluate whether models can interpret drawings, reason about layouts, and understand the built environment. Architectural Design Spatial Planning Technical Drawings Building Systems Architecture & spatial design We work with the animator who reads the emotional beat in a fleeting expression, the editor who knows why a sentence lands, the creative director who spots a brand captured, not imitated. Their expertise helps improve today's top AI models. How Mercor uses creative expertise Mercor is open to creative professionals worldwide. Most opportunities are intended for experienced practitioners—people who have spent years developing expertise in a creative discipline and can clearly explain why work succeeds or falls short. Who can apply? You are engaged as an independent contractor. Select roles are structured as part-time W-2 positions through Cincinnatus LLC and placed with leading AI labs. Payments are made weekly via Stripe or Wise based on hours worked. How does pay work? Most projects run 15–20 hours per week. Engagements may be extended, shortened, or conclude early depending on project needs and performance. What is the time commitment? Yes. Many professionals maintain multiple concurrent engagements through the platform. Can I work on multiple projects? Frequently Asked Questions Explore open AI roles for creatives Taste isn't innate—it's earned through years of discerning the difference between good and great. The next generation of creative AI will only improve by learning from the practitioners who have spent their careers defining excellence. Arts & Design Creative AI training roles Mercor connects creative practitioners to the leading AI labs working to close the gap between generation and genuine creative quality. Senior Lighting TD, 16 years in film and VFX I spent fifteen years doing lighting for film. This is the first AI project I've worked on that genuinely needed everything I learned in film. They wanted to know where the relighting model failed, why it failed, and how to characterize that failure. That is real work. Senior Art Director, 12 years in brand and identity Most evaluation work asks you to rate things on a scale. This work asked me to define the rubric—to articulate what I actually know about what makes a brand identity hold together. That is a different level of engagement. Creative Director, agency background I reviewed AI-generated pitch decks for brand accuracy and creative quality. The feedback structure was rigorous. The pay was competitive. The work genuinely used my professional expertise, not just my time. Testimonials Define criteria to capture what you notice instinctively: an emotive scene, a beautiful sonnet, a performance that communicates the intended emotion. Review AI outputs the way you would a colleague's work: identify strengths, surface subtle weaknesses, and articulate your reasoning in clear, actionable feedback. Spot the subtle failures models still make: brand copy that's technically correct but unmistakably generic. Evaluate outputs for originality, tone, audience fit, and creative quality. The work Each project is different but creative experts typically contribute in four ways: Stress-test new models against professional creative standards. Design prompts, edge cases, and evaluation tasks that reveal where systems still struggle. Creative experts Your expertise shapes how frontier AI systems distinguish polished work from mediocre work. You'll be helping establish the standards these models learn from. Define the creative standard for AI Creative professionals on Mercor earn $60–$120/hr, paid weekly via Stripe or Wise. Earn competitive rates Fully remote with flexible hours. Most engagements run 15–20 hours per week. Work on your schedule The same expertise that helped you direct films, ship campaigns, or build visual systems is what makes you valuable now. This isn't work that just anyone could do—it requires genuine professional judgment. Apply your expertise in full Why Mercor ### Finance experts URL: https://www.mercor.com/experts/finance/ Train and evaluate frontier AI models in finance. Mercor connects finance professionals with flexible project work for the world's leading AI labs. Evaluate how models analyze investment opportunities, from initial screening through final investment recommendation, and whether outputs identify material risks. Investment Banking Private Equity Venture Capital Equity Research Investment Analysis & Valuation Assess investment decisions in dynamic market environments. Projects may involve public equities, fixed income, credit, portfolio construction, risk management, and evaluating how changing economic conditions influence investment outcomes. Asset Management Hedge Funds Fixed Income Credit Markets Markets, Investing & Risk Examine how businesses grow, generate cash flow, and create value over time. Projects may involve forecasting operating performance, building financial models, and stress-testing assumptions across different business scenarios. Corporate Development Corporate Finance Strategy Finance Capital Allocation & Strategic Finance Examine whether outputs identify material issues and have the capacity to distinguish between superficial analysis or insights across financial statements and disclosures. Accounting Audit Financial Reporting Controllership Accounting & Financial Reporting Work on problems involving acquisitions, financing decisions, and capital deployment that require the ability to engage in the tradeoffs involved in creating long-term shareholder value. Leveraged Finance Transactions & Capital Allocation How Mercor uses finance expertise Most finance projects require significant professional experience in investing, capital markets, corporate finance, accounting, or related fields. Strong candidates can independently evaluate complex financial scenarios and explain their reasoning clearly. What experience level is expected? Evaluate Valuation analyses, investment recommendations, and financial forecasts Financial models, market analyses, and business assessments Financial statements, accounting treatments, and risk evaluations Create Gold-standard financial analyses and benchmark responses Evaluation rubrics and reviewer calibration frameworks Realistic investment cases, business scenarios, and financial datasets Test How models handle uncertainty, missing information, and competing assumptions Reasoning quality in forecasting, valuation, and capital allocation decisions Whether models identify key risks and validate conclusions before making recommendations Review Analytical rigor, financial accuracy, and professional quality Internal consistency, assumption quality, and reasoning strength Communication clarity and decision-making frameworks What kinds of finance tasks will I work on? Experience with financial modeling, valuation, transaction execution, investment analysis, forecasting, financial reporting, capital allocation, portfolio management, or risk assessment is commonly relevant across projects. What type of work experience is most relevant? No. The work is closer to professional financial analysis, investment evaluation, and expert review than traditional prompt writing or data labeling. Is this prompt engineering? Strong candidates typically have: Professional experience in finance, investing, accounting, or capital markets The ability to independently establish ground truth and evaluate analytical quality Strong judgment around risk, uncertainty, and decision-making Clear written communication and the ability to explain reasoning The ability to apply consistent evaluation standards across complex financial scenarios What makes a strong finance expert? Compensation varies by project, specialization, and experience level. Recent opportunities have included: Investment Banking Expert: $130–$180/hour Private Equity Expert: $130–$180/hour Fixed Income Expert: $100–$180/hour FP&A & Corporate Finance Projects: Starting at $50/hour Qualified specialists and highly experienced finance professionals may receive access to additional premium opportunities. How much does the work pay? Frequently Asked Questions Explore AI training roles for finance experts The most valuable finance professionals don't predict the future. They allocate capital, assess risk, and make decisions when outcomes remain uncertain. Finance Finance opportunities Mercor connects finance professionals with frontier AI labs building the next generation of systems for analysis, risk assessment, and forecasting. Get matched to remote, paid projects starting at $50/hr. Investment Banking Professional Success depends less on memorized knowledge and more on evaluating assumptions, identifying risks, and exercising sound judgment. Meet Matt Banker & MBA student Private Equity Reviewer The best tasks required identifying weaknesses in reasoning and producing benchmark answers; I’m in the work that is changing how finance will be done. Meet Natasha Finance leader Finance AI Expert I’m consistently impressed by the caliber of the team and the thinking required to solve the kinds of problems that matter today Meet Chandu Quant trader Testimonials from finance experts Develop high-quality investment theses, financial forecasts, and evaluation frameworks that help establish the benchmark for financial reasoning. Review AI-generated financial models, investment recommendations, spreadsheets, and presentations across realistic business and market scenarios. Determine whether conclusions reflect sound financial reasoning. Apply expert oversight to identify flawed assumptions and analytical errors. Ensure outputs are rigorous, internally consistent, and aligned with real-world financial standards. The Work Each project is different, but finance experts typically contribute in four ways: Design realistic scenarios that expose weaknesses in analysis and assess how models perform when assumptions break down or market conditions change. Finance experts Collaborate on projects that push the boundaries of what AI can do in finance, from valuation and modeling to investing, forecasting, and financial reporting. Work at the frontier of AI Contribute from anywhere and choose projects that fit your schedule. Work independently without fixed hours or long-term commitments. Flexible, remote work Rates range from $50–$180/hour based on expertise and project complexity. Earn top-tier compensation Ensure models understand the nuances behind financial decisions; from evaluating an LBO to recognizing when a narrative is not supported by underlying business fundamentals. Influence the future of financial intelligence Why Mercor ### Healthcare & clinical experts URL: https://www.mercor.com/experts/healthcare/ Train and evaluate frontier AI models as a healthcare professional. Mercor connects doctors with flexible project work for the world's leading AI labs. Evaluate whether AI can distinguish between competing diagnoses, recognize urgent findings, and provide recommendations that would hold up in practice. Internal Medicine Emergency Medicine Family Medicine Specialty Care Diagnostic & clinical reasoning Review how AI responds when time and patient risk intersect. Identify whether models recognize subtle signs of deterioration, prioritize the right interventions, and understand when uncertainty should trigger escalation. Critical Care Hospital Medicine Pharmacy Acute Care Acute & critical care decision-making Examine how AI navigates treatment decisions involving competing risks, multiple comorbidities, and evolving evidence. Identify what separates a guideline-based recommendation from one that reflects real clinical expertise. Oncology Hematology Cardiology Endocrinology Neurology Specialty & complex disease management Assess whether AI accounts for the realities healthcare leaders manage every day: staffing shortages, capacity constraints, patient flow, and the constant tradeoffs between access, quality, and cost. Healthcare Operations Care Delivery Clinical Leadership Health Systems Strategy Healthcare operations & administration Analyze how AI transforms healthcare data into decisions. Evaluate whether models identify meaningful patterns, uncover operational inefficiencies, and distinguish actionable insights from noise. Healthcare Analytics Population Health Healthcare data & analytics From diagnostic reasoning and specialty care to healthcare operations and regulatory decision-making, expert judgment remains essential in domains where patient outcomes, safety, and evidence-based decision-making matter. How Mercor uses healthcare expertise Evaluate Diagnostic reasoning, treatment selection, and guideline concordance Generated care plans, clinical documentation, and operational recommendations Healthcare workflows, escalation decisions, and evidence-based reasoning Create Gold-standard clinical and operational responses Structured evaluation rubrics and reviewer calibration frameworks Realistic patient cases, healthcare scenarios, and benchmark datasets Test How models handle ambiguity, incomplete information, and conflicting constraints Safety, escalation behavior, and decision-making under uncertainty Whether models verify correctness before making recommendations Review Patient safety, reasoning quality, and production readiness Maintainability, instruction-following, and operational feasibility Communication clarity, healthcare judgment, and evidence-backed conclusions What kinds of healthcare tasks will I work on? Most healthcare projects require an advanced degree, medical credentials, and years of practice. Strong candidates typically have professional clinical or healthcare operations experience and can independently reason through complex real-world scenarios. What experience level is expected? Experience with electronic medical records, clinical guidelines, evidence-based treatment plans, enterprise healthcare workflows, and cross-functional clinical operations environments is commonly relevant across projects. What type of work experience is most relevant? No. The work is closer to senior-level clinical reasoning, healthcare operations review, technical evaluation, and evidence-based decision-making than traditional prompt writing or redundant data labeling. Is this prompt engineering? Strong candidates typically have: Professional experience working in clinical or healthcare operations environments Ability to independently establish ground truth and evaluate reasoning quality Strong judgment around patient safety, operational tradeoffs, and evidence-based recommendations Clear written communication skills and the ability to explain reasoning precisely Ability to apply consistent evaluation standards across complex healthcare tasks What makes a strong healthcare expert? Compensation varies by project, specialization, and experience level. Recent opportunities have included: Internal Medicine Expert $130–$180/hour Emergency Medicine Expert Cardiology Expert Healthcare Operations & Strategy Projects Starting at $50/hour Qualified specialists and highly experienced healthcare professionals may receive access to additional premium opportunities. How much does the work pay? FAQs Explore open AI roles for healthcare & clinical experts Medicine is built on judgment. Every day, clinicians make decisions amid uncertainty, competing priorities, and high stakes. As AI enters healthcare, its success will depend on how it impacts clinical outcomes. Medicine Healthcare & clinical opportunities Mercor connects physicians, nurses, and healthcare operators with frontier AI labs building the next generation of medical AI. Get matched to remote, paid projects starting at $50/hr. Internal Medicine Physician Working on Mercor’s medical projects feels much closer to attending-level reasoning and clinical review than traditional AI annotation work. The tasks require real judgment, evidence-based thinking, and careful evaluation of patient safety. Meet Milton Interventional radiologist Hematology / Oncology Reviewer The projects required evaluating nuanced clinical decision-making across complex patient cases, identifying reasoning failures, and creating gold-standard responses grounded in current guidelines and best practices. Healthcare AI Expert There’s a real sense that the work we’re doing will directly shape how future healthcare AI systems reason about patient care and clinical operations. Clinical expert testimonials Write gold-standard clinical responses, realistic patient cases and evaluation rubrics to teach models how experienced clinicians reason. Review and compare AI-generated outputs across realistic clinical and operational scenarios. Determine whether recommendations are clinically appropriate, consistent with current standards of care, and would hold up in practice. Apply expert oversight to ensure outputs are clinically sound, evidence-supported, and meet healthcare standards. The work The healthcare professionals working with Mercor help shape how future AI systems reason. The work mirrors how experienced clinicians operate in real environments by navigating uncertainty, risk, and complex clinical decisions. Design challenging scenarios that reveal how models perform when clinical judgment matters most: incomplete histories, uncertain diagnoses, and situations where patient safety or operational outcomes are at stake. Healthcare & clinical experts Shape how future models reason through patient care, clinical training, and operational decision-making to help address challenges that cannot be solved through medical knowledge alone. Work at the frontier of AI Contribute from anywhere and choose projects that fit your schedule. Work independently without long-term commitments or fixed hours. Flexible, remote work Rates range from $50–$180/hour based on your expertise and project complexity Earn top-tier compensation Help get medical AI right before it reaches patients. The systems you contribute to today influence how AI supports diagnosis, treatment planning, and patient care. Improve patient outcomes Why Mercor ### Lawyers & legal experts URL: https://www.mercor.com/experts/lawyers/ Train and evaluate frontier AI models as a legal expert. Mercor connects lawyers with flexible project work for the world's leading AI labs. Evaluate how AI models read pleadings, opinions, discovery and the evidentiary records. Assess whether it can find the dispositive issue and tell controlling precedent from persuasive authority. Litigation Appellate Law Legal Research Judicial Clerkships Litigation & case analysis Assess whether how a model interprets contract language, allocates risk, and analyzes transaction documents against the f precision expected in sophisticated transactions demands. Mergers and Acquisitions Private Equity Capital Markets Commercial Contracts Corporate Governance Corporate & transactional law Examine how AI approaches regulatory obligations, subpoenas, internal investigations, and enforcement actions. Determine whether recommendations account for evolving regulatory frameworks, disclosure requirements, and the practical realities of managing legal and compliance risk. Securities Regulation Financial Services Healthcare Law Privacy Government Affairs Regulatory & compliance decision-making Assess model performance in legal domains where deep subject-matter expertise is essential. Identify whether analyses reflect genuine understanding of complex doctrines, industry-specific regulations, and specialized legal frameworks. Bankruptcy & Restructuring Real Estate Intellectual Property Antitrust Tax Law Specialized legal practice areas Evaluate how AI approaches workplace disputes, employee investigations, disciplinary actions, and employment agreements. Determine whether recommendations appropriately balance legal obligations, litigation risk, employee relations, and business objectives. Employment Law Labor Relations Workplace Investigations Executive Compensation Employment & workplace law We work with attorneys who have spent years navigating complex legal frameworks and high-stakes decisions to help evaluate and improve today's most advanced AI systems. How Mercor uses legal expertise Strong candidates typically have professional legal experience and can independently reason through complex legal issues and factual scenarios. What experience level is expected? Experience in litigation, transactional law, corporate law, compliance and regulatory practice, real estate, tax, bankruptcy, trusts & estates, legal research, or judicial clerkships is highly relevant for most roles. What legal backgrounds are most relevant? No. The work is substantially closer to legal analysis, legal writing, issue spotting, and professional review than traditional prompt engineering. Is this prompt engineering? Strong candidates typically have: Professional legal experience working on complex matters Ability to independently establish legal grounding and evaluate correctness Strong judgment around legal reasoning, risk assessment, and issue spotting Experience distinguishing critical legal errors from stylistic or non-material issues Clear written communication skills and the ability to explain legal reasoning precisely Ability to apply consistent evaluation standards across nuanced legal tasks What makes a strong expert? Compensation varies by project, specialization, and experience level. Recent opportunities have included: Legal Expert — Transactional / Corporate: $100-$150/hour Legal Expert — Compliance / Regulatory: $100–$150/hour IP Expert — Patent / Trademark: $100–$150/hour Legal Experts (Generalist Projects): $55–$135/hour Qualified specialists and highly experienced legal professionals may receive access to additional premium opportunities. How much does the work pay? Frequently Asked Questions Explore open AI roles for lawyers Legal expertise extends beyond knowing the law. Attorneys evaluate incomplete facts, reconcile conflicting authorities, and advise clients in ambiguous situations. AI's value will depend on how well it supports this reasoning. Law Current open roles for lawyers & legal experts Mercor matches law professionals with frontier labs building the next generation of legal AI systems. Earn $55–$150+/hour to help. Litigation Attorney Expert The work required reviewing complex judicial opinions, identifying key legal issues, evaluating competing arguments, and assessing whether AI-generated analyses accurately reflected the law and procedural posture. Meet Michael Corporate attorney Corporate & Compliance Attorney Expert I worked on realistic transactional and compliance scenarios involving contract review, regulatory analysis, and due diligence workflows that closely mirrored actual legal practice. Specialist Legal Reviewer There’s a real sense that the work contributes to how future AI systems will reason about high-stakes legal and regulatory decisions. Legal expert testimonials Develop gold-standard legal analyses, contract interpretations, and evaluation frameworks.. Your interpretation helps establish the standards of legal reasoning that frontier models are evaluated against. Review and compare model outputs across realistic legal matters including contract analysis, litigation strategy, regulatory interpretation, and due diligence. Determine whether conclusions are legally supportable and consistent with factual record. Apply expert oversight to identify flawed case interpretations, unsupported assumptions, and material legal risks. Ensure outputs meet standards for accuracy, defensibility, and reasoning quality. The work Each project is different, but legal experts typically contribute in four ways: Build legal scenarios where the correct answer is unclear. Assess how models perform when facts are incomplete, regulatory guidance is unsettled, or multiple legally defensible interpretations exist. Lawyers & legal experts Your expertise helps shape how future models reason through complex legal questions involving ambiguity, risk, and high-stakes decision-making. Work at the frontier of AI Compensation typically ranges from $55–$150+/hour depending on specialization, experience, and project complexity, with opportunities for ongoing project work. Earn top-tier compensation Contribute from anywhere and choose projects that fit your schedule. Work independently without long-term commitments or fixed hours. Flexible, remote work Go beyond legal research and document review. Evaluate how AI performs on complex matters involving ambiguity, competing authorities, evolving regulations, and high-stakes legal decisions. Apply deep legal expertise Why Mercor ### Management consultants URL: https://www.mercor.com/experts/management-consultants/ Get paid to train frontier AI on the strategic reasoning only consultants can teach. Flexible, fully remote, $50-180/hr. Open roles for experienced professionals. Evaluate AI-generated competitive analyses, market sizing models, and go-to-market recommendations for analytical rigor, logical coherence, and real-world alignment. Strategy Consulting Market Entry Competitive Intelligence Market Sizing Go-to-Market Strategy & market analysis Assess whether AI-generated operational frameworks and transformation roadmaps reflect how businesses actually function, not just how they appear on an org chart. Operations Strategy Supply Chain Organizational Design Change Management Operations & transformation Review AI-generated business cases and investment analyses for correctness in internal consistency and executive-readiness. The standard is whether the output would hold up to a CFO or investment committee review. Financial Modeling Business Case Development Unit Economics FP&A Corporate Finance Financial analysis & business case development Interrogate AI-generated GTM plans, pricing frameworks, channel strategies, and revenue models against the standards of a real market entry or product launch. Go-to-Market Strategy Revenue Growth Pricing Strategy Sales Operations Partnership Strategy Go-to-market & commercial strategy Evaluate whether AI-generated executive presentations, board memos, and strategic recommendations communicate with the clarity, precision, and narrative structure that decisions actually require. Executive Communication Narrative Structure Slide Logic Written Synthesis Stakeholder Alignment Executive communication & deliverables We work with the manager who reframes the client's problem, the principal who catches a flawed assumption three slides early, and the ex-BCG consultant who knows which recommendations get acted on. How Mercor uses consulting expertise Mercor is open to management consulting professionals worldwide. Most opportunities target experienced practitioners—people who have independently led client engagements, structured complex problems, and can clearly explain why analysis succeeds or falls short. Who can apply? You are engaged as an independent contractor. Payments are made weekly via Stripe or Wise based on hours worked. Rates range from $50/hr for generalist business evaluation to $80–$120/hr for specialized strategy, market research, and operations roles. How do I get paid? Most projects run 10–20 hours per week. Engagements may be extended, shortened, or concluded early depending on project needs and performance. What is the time commitment? No. Strong candidates come from MBB, Big 4 strategy practices, boutique strategy firms, in-house corporate strategy teams, and growth-stage operators with equivalent analytical rigor. What matters is whether you can independently evaluate complex strategic problems and explain your reasoning clearly. Do I need a specific firm background? Apply through Mercor's platform for free . If your background matches an open opportunity, you'll complete a short assessment before being matched to a relevant project. What does the application process look like? New opportunities are added regularly. Apply to the closest match or join the talent network, and we'll reach out when a relevant project becomes available. What if I don't see a role that fits my background? Frequently Asked Questions Explore open AI training roles for management consultants Any model can fill a slide. Only a consultant can tell you whether the hypothesis was right to begin with. Business Operations AI training roles for consultants Whether your background is MBB, Big 4 strategy, in-house corporate strategy, or growth-stage operations, you can earn $50–$180/hr helping train frontier AI systems on the kind of judgment work that has always been hard to systematize. McKinsey alum, Deloitte AI & Data Business is people. AI can help us, but connecting with others, understanding tradeoffs, and making decisions under uncertainty are still fundamentally human skills. That's why the most important ingredient in better AI is still human judgment. Meet Jay International business consultant Fortune 500 Strategy Leader Consulting isn't about finding the right answer. It's about determining which answer a CEO can actually act on. That's the kind of judgment AI still struggles with. Testimonials Design prompts, edge cases, and multi-document challenges that reveal where models still produce plausible-sounding outputs that would never survive an actual engagement review. Review AI-generated strategy decks, competitive analyses, financial models, and executive memos using the same standards you'd apply in a client setting. Identify where the narrative fails to follow the data and where recommendations wouldn't survive a partner review. Build problem frameworks that define how ambiguous business questions should be decomposed. The issue tree, the hypothesis, the evaluation rubric that all require the kind of structured thinking that comes from real engagement experience. The work Each project is different, but management consulting experts typically contribute in four ways: Stress-test AI systems against the scenarios that expose the gap between pattern recognition and genuine strategic reasoning. Management consultants The problems that matter most in consulting are not problems with clean inputs. Your expertise helps establish how AI systems should reason when the data is incomplete and the answer depends on judgment rather than calculation. Define how AI reasons under ambiguity Management consulting professionals on Mercor earn $50–$180/hr based on background and specialization, paid weekly via Stripe or Wise. Earn competitive rates Fully remote with flexible hours. Most engagements run 10–20 hours per week; compatible with active client work, between engagements, or post-consulting transitions. Work on your schedule The skills that define strong consultants—structured decomposition, MECE thinking, stakeholder management—are exactly what AI systems need to learn. This is not evaluation work that a generalist could do. Apply expertise that actually transfers Why Mercor ### Software Engineers URL: https://www.mercor.com/experts/software-engineers/ Train and evaluate frontier AI models as a software engineer. Mercor connects engineers with flexible project work for the world's leading AI labs. Help evaluate how AI approaches questions of scalability, reliability, concurrency, and system design. Assess whether solutions account for real-world operating conditions—or simply appear correct on paper. Distributed Systems Backend Platforms Infrastructure Systems engineering Determine how AI reasons about performance bottlenecks, parallel execution, memory efficiency, and hardware utilization. Identify what separates theoretically efficient solutions from systems that perform in practice. CUDA C++ Rust Performance & hardware optimization Review how AI approaches training systems, inference infrastructure, deployment workflows, and large-scale ML operations. Determine whether its solutions reflect the realities of running machine learning systems at scale. MLOps Training Systems Kernel Optimization Machine learning infrastructure Analyze how AI reasons through packet traces, telemetry, and incident data. Identify whether conclusions are supported by the evidence or whether critical signals are being missed. Network Operations Packet Analysis Observability Network engineering & operations Examine how AI approaches modernization efforts, business-critical workflows, and legacy software platforms. Determine whether proposed solutions account for operational risk, system dependencies, and real-world constraints so systems don’t break. COBOL ABAP Mainframes Enterprise & legacy systems Assess how AI performs in specialized technical domains. Identify whether solutions demonstrate fluency of the programming language or simply resembles them on the surface. Scala Kotlin OCaml Advanced programming languages We work with engineers who have spent years building, scaling, and maintaining complex systems. Their expertise helps evaluate and improve today's most advanced AI models—where correctness, performance, and reliability matter most. How Mercor uses engineering expertise Strong candidates typically have professional software engineering experience and can independently reason through production systems and complex technical problems. What experience level is expected? Experience with modern software development, backend systems, distributed systems, infrastructure tooling, large repositories, and production applications is commonly relevant across projects. What technologies are most relevant? No. The work is substantially closer to software engineering, code review, debugging, architecture evaluation, and systems reasoning than traditional prompt engineering. Is this prompt engineering? Strong candidates typically have: Professional experience building or maintaining production systems Ability to independently establish technical correctness Strong judgment around architecture, debugging, and engineering tradeoffs Experience distinguishing critical failures from non-material issues Ability to evaluate systems under uncertainty and incomplete requirements Clear written communication skills Ability to apply consistent evaluation standards across complex technical tasks What makes a strong expert? Compensation varies by project, specialization, and experience level. Recent opportunities have included: Software Engineering Expert $80–$120/hour Senior Software Engineering Expert $100–$150/hour Specialized Engineering Expert $120–$200/hour Engineering Review & Evaluation Projects Starting at $50/hour How much does the work pay? FAQs Explore open AI roles for software engineers The hardest engineering problems rarely involve writing code. They involve understanding what happens when systems are under load, dependencies fail, and assumptions break down. Software Engineering Software engineering opportunities Whether your background is backend engineering, infrastructure, or other you can get paid $80–$200/hr to help train frontier AI systems on real software engineering work. Lead Software & AI Engineer Expert I joined Mercor as a Senior Software Engineer and took ownership of the full build lifecycle: writing detailed product specifications, designing system architecture, defining tool schemas and authentication models, and building MCP servers in Python and TypeScript. Meet Jared Software Engineer Product Manager, Lead Reviewer The project was deeply technical and required tracing complex execution flows across multiple files, identifying architectural patterns, diagnosing state management issues, and evaluating security and performance bottlenecks. Expert perspectives Write expert-level engineering solutions, evaluation rubrics, reference implementations, and realistic technical scenarios that teach models how experienced engineers reason through complex problems. Review and compare model outputs on realistic engineering tasks such as debugging production issues, tracing logic across repositories, implementing features, reviewing code quality, and assessing architectural decisions. Evaluate outputs for correctness, maintainability, security, production readiness, reasoning quality, and practical usefulness. The work Each project is different, but engineering experts typically contribute in four ways: Assess how models handle ambiguity, incomplete requirements, architectural tradeoffs, conflicting constraints, and multi-step engineering workflows. Software Engineers Your expertise directly influences how future models reason about architecture, debugging, infrastructure, performance optimization, and production systems. Work at the frontier of AI Compensation ranges from $80–$200/hour based on expertise and specialization, with weekly payouts and opportunities for ongoing project work. Earn top-tier compensation Contribute from anywhere and choose projects that fit your schedule. Work independently without long-term commitments or fixed hours. Flexible, remote work Go beyond coding interviews and toy problems. Review AI reasoning across distributed systems, ML infrastructure, network operations, and other highly specialized domains. Apply deep technical expertise Why Mercor ### Expert guides URL: https://www.mercor.com/resources/experts/ guides on AI training work and pay ## For enterprises ### Enterprise URL: https://www.mercor.com/enterprise/ Book a demo Ready to Move? Mercor agents only touch what you scope, and nothing escapes the sandbox. Think fast. Deploy faster. Frequently Asked Questions While most platforms target individual productivity, Mercor is built for enterprise scale and complexity. We provide a centralized view for managing AI across the enterprise, with integrated tools for deep context gathering, off-the-shelf connectors for rapid deployment, and rigorous evaluation infrastructure to monitor and improve agent performance. How is Mercor different from an off-the-shelf agent platform? Yes. Mercor can review AI systems already in production, including ones we didn't build. We evaluate existing performance, identify failure modes, review agent architecture, prompts, context, workflows, evaluation systems and model selection, then continuously improve the system using a custom evaluation suite built around your business. Can Mercor build on top of agents we already have? Mercor defines quality before an agent is ever deployed. We build custom evaluation suites using real workflows and expert-defined reference answers, then measure both the agent's outputs and the reasoning trajectories. Offline evaluations validate new models before release, while online verifiers continuously monitor production behavior. Blocking verifiers catch failures before they reach users, so every deployment is measured and improved against the same standard. How does Mercor ensure agent quality? AI evaluations define what good looks like for a workflow, then measure whether an agent reaches that standard. Modern evaluation systems measure not only the final output, but also reasoning, tool use, and execution throughout the workflow. They provide the objective signals needed to improve quality, reliability, latency, and cost over time. What are AI evaluations? Mercor doesn't just build evaluation suites. We're opinionated about how they should be designed. Different workflows require different evaluation strategies, whether that's verifying final outputs, reasoning trajectories, tool use, or human preferences. Through years of work with the world's leading AI labs, we've learned how to structure evaluation tasks so that they produce reliable signals that improve model and agent performance over time. What does it mean for Mercor to specialize in designing evaluation systems? Mercor is model agnostic. Rather than choosing a model upfront, we benchmark leading models against your custom evaluation suite and select the one that delivers the best balance of quality, latency, and cost. As new models become available, we can evaluate them against the same benchmark before rolling them into production. Which models does Mercor use? No. Most engagements begin with a specific workflow where the impact can be measured clearly. Once the agent is performing reliably in production, the same approach can be extended to additional workflows across the organization. Do I need to start with a full enterprise rollout? Only the systems and data you explicitly authorize. During deployment, agents are connected to the tools they need to perform their workflow and operate with defined permissions. You retain control over what information an agent can access and how it interacts with your systems. What data can an AI agent access in production? Your enterprise AI questions, answered. See our offerings Mercor helped the world's leading AI labs transform human expertise into better AI models. Now we use that same expertise to help enterprises identify where AI creates value, deploy it into production, and continuously improve it over time. Enterprise AI meets human intelligence Our offerings The complete AI lifecycle. Engage Mercor where you need us most. How we partner with enterprises. All enterprise posts Latest from enterprise Our approach Business Expertise We understand how enterprise work actually gets done. Forward Deployed Engineers We build and deploy AI into your workflows. Mercor Enterprise Platform We unify context, connectors, and evaluation in one platform. Every engagement combines business expertise, Forward Deployed Engineers, and a platform that powers AI from discovery through continuous improvement. Built for Enterprise AI Agent Deployment Mercor built an AI incident response agent for the customer's engineering team. Using historical incidents and engineer-defined success criteria, we benchmarked every version before deployment and continuously improved performance in production. 50%+ Reduction in median time to mitigation Technology Site Reliability Engineering Diagnostics The target had invested in AI before without success. Mercor mapped high-value workflows, built and benchmarked working models on the company's own data, and validated projected savings against real performance before the deal closed. $7–9M Upside run-rate savings identified Private Equity Value Creation Assessment With 1,000+ employees and AI already deployed across several functions, the company lacked a clear view of where to invest next. Mercor mapped workflows, systems and existing AI deployments across the business identifying 25 candidate workflows and prioritizing five agents for deployment over the next twelve months. 25 Candidate AI workflows identified across seven functions Enterprise Software Workflow Diagnostic Mercor mapped how the business created value, assessed AI opportunities and disruption risk, and built a sequenced implementation roadmap identifying ~$4M in near-term net value and $20M in annual run-rate impact by 2031. $20M Annual Run-Rate Impact Identified by 2031 PE Firm Mercor built an AI support system that triages every customer request, resolves routine questions automatically, and routes complex issues to the right expert. Every response is evaluated against company policy, and failures continuously improve the system. ~12,000 Support requests handled each week Mercor Customer Success Optimization Mercor leveraged its network of HR experts to build task-specific quality standards and evaluate the agent across employee and manager tasks, with independent runs per task. The evaluation pinpointed where and why performance fell short and translated those findings into prioritized improvements, including ship-blocking issues. 132 Agent runs expert-graded across real-world HR tasks Production Readiness Evaluation Selected engagements From AI opportunity assessments to production deployments, every engagement delivers measurable business outcomes. How we help enterprises put AI to work. Deploy Mercor in the environment that meets your security requirements, from managed deployments to customer-controlled infrastructure. Flexible Deployment Agents are only granted access to the systems, data, and permissions you explicitly authorize. Scoped Access Your organization defines how agents interact with enterprise systems through existing security, identity, and access policies. Enterprise Controls Monitor agent activity, review performance, and maintain visibility into production deployments. Monitoring & Auditability Security & Control Mercor agents operate only within the systems, data, and permissions you define. Your security team is going to ask about us. Ranked list of agent opportunities Workflow and context map Prioritized implementation roadmap ROI estimates and execution plan Most organizations don't know which workflows are worth automating. Mercor combines AI interviews, enterprise data, and workflow discovery to capture tacit organizational knowledge and identify the highest-value opportunities for AI. 01 Discover · Agent Diagnostics Identify high-value AI opportunities. Production-ready AI agents Custom evaluations based on your quality standards Integration into existing tools and workflows Continuous performance improvement We build AI agents around your workflows, systems, and quality standards. We define evaluations based on what good looks like for your business, then integrate agents into the tools and workflows your teams already use. Performance is continuously evaluated and improved in production. 02 Deploy · Agent Deployment Deploy AI into production. Agent architecture and code review Prompt, context, and tool optimization Model selection and routing Evaluation and production monitoring Mercor reviews AI already in production, from codebase and agent architecture to prompts, context, tools, model selection, and evaluations, to identify what’s holding it back and improve performance. 03 Improve · Agent Optimization Optimize every agent in production. New data licensing revenue Data anonymization and preparation AI lab sourcing and licensing Full control over what gets licensed Mercor identifies where your data may be valuable to leading AI labs, then manages anonymization, sourcing, and licensing on your behalf. Data monetization is always opt-in. You choose what data, if any, is made available for licensing. 04 Monetize · Data Monetization Unlock new data revenue Incident Response Vulnerability Triage IT Support Access Management Security & IT Code Review Testing & QA Developer Support Software Engineering Invoice Processing Financial Close Expense Auditing Exception Handling Finance AI Due Diligence Portfolio AI Roadmaps Value Creation Portfolio Monitoring Customer Support Case Routing Customer Onboarding Knowledge Assistants Customer Operations Candidate Screening Interview Evaluation Recruiting Operations Internal HR Support Talent Contract Review Policy Compliance Regulatory Research Document Analysis Legal & Compliance Use Cases Representative functions and workflows where Mercor works with enterprises. Where AI creates value ### Enterprise evals URL: https://www.mercor.com/enterprise-evals/ ### Data URL: https://www.mercor.com/data/ Messaging Email Docs & wikis Cloud storage Video calls Project tracking Captured across your everyday tools: messages, meetings, documents, and project trackers. Your productivity stack Signal types captured Productivity Thread activity Document edits Meeting transcripts Task completions Calendar events How your team thinks, collaborates, and communicates. CRM Support tickets Finance & billing Customer comms Databases The structured data that runs your business: deals, invoices, tickets, and every customer interaction. Your operational backbone Pipeline stage distribution Operations Prospecting Discovery Proposal Negotiation Closed Won CRM records, transactions, support tickets, and databases. Git repos Pull requests Issue tracking CI/CD pipelines Code reviews The complete history of how your engineers build software: commits, reviews, issues, and deploys. Your engineering output Engineering activity signals Code PR review cycles Commit frequency Bug resolution time Deployment cadence Code review coverage Repositories, pull requests, code reviews, and CI/CD pipelines. Frontier AI labs can't build enterprise-grade models from public data alone. The next leap in AI capability requires operational data: how teams communicate, close deals, ship software, and run finance. That data lives inside your company. The data that teaches AI how businesses actually operate. From initial discovery to production-grade AI agents in 4–6 weeks → Ready to empower your workforce? mercor.com/enterprise Frontier AI models are increasingly being trained to work inside companies, navigating real tools, workflows, and decisions. Public data and synthetic datasets cannot replicate that. Your internal data captures how organizations actually operate, which is exactly what labs need to build AI that can handle real enterprise tasks. Why do AI labs want our data? Compensation is based on data volume, the tools you connect, and the depth of your data. Connecting more tools generally results in a higher payout. How is compensation calculated? No. Mercor covers all costs associated with data extraction, anonymization, and transfer. You receive compensation with no upfront costs, setup fees, or deductions from the payment. Are there any fees or costs to us? The extraction and anonymization process is fully automated. No AI lab buyer or third-party vendor ever sees your raw data. Mercor's engineering team oversees the pipeline infrastructure but does not manually review your data. All access is logged and governed by strict internal controls. Who actually sees our raw data? Payment is issued via wire transfer upon delivery of the anonymized dataset to the buyer. This typically occurs within 2-4 weeks of the signed agreement, depending on data extraction and processing time. When do we get paid? Common questions Talk to our team → The data your business generates every day is exactly what frontier labs need. We license it, package it, and pay you for it. advance frontier AI Your enterprise data can Start here → From first contact to signed agreement, our team handles everything. No engineering work required. Ready to start partnering with us? Fill out the scoping form to share what services you're ready to license. Our team maps your workflows, tools, and data footprint, and gives you an estimate of what your data is worth. Chat with our team We support 50+ integrations across messaging, docs, email, CRM, code, and finance. You pick what's in scope, authenticate via OAuth, and we get read-only access. Connect your tools After connecting, our pipeline runs a single extraction across your selected tools. It runs in the background and requires no additional work from your team beyond the initial connections. Extract your workflows Our in-house pipeline applies deterministic pattern matching and generative AI to irreversibly mask PII, PHI, and BII across all extracted data. Tokens cannot be reverse-engineered, and every dataset is validated before delivery to the client. Anonymize your data We process payment and deliver a custom analysis of exactly where AI can transform how your organization operates, with a concrete roadmap for where AI can immediately improve your own workflows. Payout & AI analysis Contributing your workflow data Know someone who runs a company? Refer them to partner with Mercor. When they onboard and get paid, so do you. Robust data governance framework AWS KMS encryption SOC 2 Type II You define which systems and data types are in scope before anything moves. Scoped access Authentication credentials are scoped to each session and isolated from the rest of our infrastructure. Credential isolation Raw content is extracted automatically, encrypted in transit, and logged with a complete audit trail. Secure extraction Our pipeline detects and neutralizes 60+ types of sensitive identifiers while preserving business context and structure. Proprietary anonymization Proprietary anonymization at every layer. Built to the standards of frontier AI labs and enterprise security teams. Read more about our security policies → ## Company ### Mission URL: https://www.mercor.com/mission/ View open roles If you want to do the most important work of your career, faster than anywhere else, we'd like to meet you. We're hiring across every team Built for people who thrive in high-velocity environments Founded in 2023, Mercor is advancing the frontier of AI with human intelligence. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work, and Mercor Enterprise brings the same expert network and evaluation infrastructure to Fortune 500 companies deploying AI in production. We're a leading AI data company, building the layer between human expertise and frontier models. Backed by Benchmark General Catalyst Felicis Robinhood Ventures Menlo Ventures Our investors Mercor offices San Francisco HQ New York City London Work alongside exceptional talent across our hubs Mercor in the news Fortune AI Unicorn Mercor acquires Deeptune to scale the reinforcement learning environments Time AI Productivity Index sets a new standard for measuring whether AI can perform high-value work The Verge Mercor is the fastest-growing company supplying human expertise Fast Company Engineers, doctors, and finance professionals are joining a fast-growing field, bringing their expertise to train frontier AI models WSJ Professionals are finding a new income stream by applying their expertise to AI training Tech Crunch Mercor's APEX-Agents benchmark becomes a leading measure of how well AI handles real professional work CNN Experts are earning top hourly rates teaching AI to do specialized work, and it is becoming a booming business Bloomberg Inside the expert network teaching AI to handle complex professional work across dozens of fields Financial Times Tens of thousands of skilled professionals are earning an average of more than $95 an hour on Mercor Read more about us Join a global network of experts doing high-value work at the frontier of AI. Work Partner with us for custom AI agents trained on your organization's knowledge, workflows, and standards. Build Access our network of domain experts across 300+ professional fields, found and vetted using dynamic, role-specific AI interviews. Hire Measure AI model effectiveness at performing economically valuable work with our APEX index. Evaluate Mercor awards TIME TIME100 AI: Brendan Foody, Innovator 2026 Newsweek America’s Greatest Startup Workplaces 24 AI Startups to Watch Forbes Forbes AI 50 2025 Forbes Cloud 100 Linkedin Linkedin Top Startup Recognized for the work Mercor founding story We started Mercor because we believe the most important problem in the world is what people do every day. As we approach AGI, there is enormous uncertainty around what role humans will play in the economy. We wanted to build the company that answers that question. The leading AI labs and enterprises are racing to build systems that mirror every app, world, and task in the economy. The bottleneck isn't compute. It's human intelligence: the expertise, judgment, and real-world knowledge that only people can provide. Mercor is organizing human intelligence to power the AI economy. We find the best experts in every professional domain and put their knowledge to work training frontier models. Through APEX, we measure whether those models can actually perform economically valuable work. We're also bringing that expertise to enterprises: deploying custom AI agents, staffing teams with vetted domain experts, and helping organizations encode their own knowledge into AI systems. We do all of this in a way that creates real economic value for people. As AI gets more powerful, human expertise gets more valuable. We're building the company that makes that true. Brendan Foody & Adarsh Hiremath, Co-founders & Co-CEOs A note from Brendan & Adarsh ### Blog URL: https://www.mercor.com/blog/ ### Careers URL: https://www.mercor.com/careers/ ### Newsroom URL: https://www.mercor.com/newsroom/ ### Expert stories URL: https://www.mercor.com/stories/ Sitemap: https://www.mercor.com/sitemap.xml