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Mercor
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  • Expert Reviewer (PhD Degree or Professors Preferred)  

    - London
    1. Role Overview Mercor is seeking highly skilled expert reviewers to... Read More
    1. Role Overview Mercor is seeking highly skilled expert reviewers to support a leading AI research initiative focused on evaluating and improving large-scale text outputs. This short-term, remote opportunity involves critically reviewing written material to identify logical inconsistencies, inaccuracies, or unclear reasoning. Ideal candidates will have advanced academic training—preferably a PhD—and thrive in analytical, detail-oriented work. 2. Key Responsibilities Review large volumes of text for factual accuracy, coherence, and logical consistency Identify and annotate errors, contradictions, or unclear phrasing Provide concise feedback to guide iterative content refinement Maintain high accuracy and efficiency under tight deadlines 3. Ideal Qualifications PhD or advanced graduate degree in a relevant discipline (humanities, sciences, or engineering) Exceptional attention to detail and analytical reasoning ability Demonstrated experience in text analysis, research, or academic review Strong written communication and time management skills Ability to process and evaluate information quickly and accurately 4. More About the Opportunity Remote and asynchronous — set your own schedule Expected workload: flexible, typically 10–20 hours/week Short-term contract with potential for extension based on project needs 5. Compensation & Contract Terms $50–70/hour, depending on expertise and experience Independent contractor arrangement Payments processed weekly via Mercor’s secure payment system 6. Application Process Submit your resume or academic CV through Mercor’s platform Complete a short qualification form outlining relevant expertise Selected candidates may be asked to complete a brief evaluation task You’ll receive next steps within a few business days 7. 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 law, research, engineering, and creative domains collaborate on cutting-edge AI projects through Mercor Read Less
  • Internal Human Super-Forecasters  

    - London
    Mercor is hiring Internal Human Super-Forecasters on behalf of a leadi... Read More
    Mercor is hiring Internal Human Super-Forecasters on behalf of a leading AI Lab developing the next generation of decision-intelligent systems. This unique role invites you to apply your expert forecasting skills to collaborate with AI researchers and engineers, training, evaluating, and refining models that make probabilistic predictions about strategic events, market shifts, and complex uncertainties. Responsibilities Work closely with AI research teams to generate, train, and validate human-anchored forecasts on key strategic questions, scenario outcomes, and emerging risks. Apply rigorous probabilistic reasoning, structured judgment, and quantitative techniques to enhance both human and machine forecasting accuracy. Evaluate AI models’ forecasts for coherence, calibration, and alignment with structured human judgment — provide expert feedback on model errors and biases. Design, participate in, and review forecasting experiments and challenge frameworks, focused on turning strategic uncertainty into actionable insight. Participate in synchronous collaboration sessions (4-hour windows, 2–3 times per week) to review forecast portfolios, debate scenarios, refine judgments, and align human-machine reasoning. Requirements Advanced degree or extensive professional experience in Forecasting, Decision Science, Economics, Political Science, Risk Analysis or a related field. Proven track record of making high-quality probabilistic forecasts, scenario analyses, or decision-intelligence insights. Strong competency in probability, calibration, scenario design, and structured judgment techniques. Proficiency with forecasting tools, data visualization, or statistical software (e.g., Python, R, Excel) is highly valued. Excellent written and verbal communication, strong analytical reasoning, and collaborative mindset. Commitment of 20–30 hours per week, including required synchronous collaboration periods. Why Join Collaborate with a world-class AI research lab to influence how intelligent systems anticipate strategic events, market inflections, and systemic vulnerabilities. Play a key role in shaping the way AI models understand and simulate human forecasting judgment and uncertainty quantification. Enjoy schedule flexibility — choose your preferred 4-hour collaboration windows and manage your 20-30 hour work week around them. Be engaged as an hourly contractor through Mercor, granting autonomy over your schedule while contributing to high-impact forecasting and AI projects. Work alongside leading experts in forecasting, decision science, AI, and analytics — bridging human judgment and machine reasoning. Join a global network of expert forecasters helping build AI systems grounded in disciplined, accurate forecasting and insight. Read Less
  • CUDA Kernel Optimizer - ML Engineer  

    - London
    1) Role Overview Mercor is engaging advanced CUDA experts who speciali... Read More
    1) Role Overview Mercor is engaging advanced CUDA experts who specialize in GPU kernel optimization, performance profiling, and numerical efficiency. These professionals possess a deep mental model of how modern GPU architectures execute deep learning workloads. They are comfortable translating algorithmic concepts into finely tuned kernels that maximize throughput while maintaining correctness and reproducibility, 2) Key Responsibilities Develop, tune, and benchmark CUDA kernels for tensor and operator workloads. Optimize for occupancy, memory coalescing, instruction-level parallelism, and warp scheduling. Profile and diagnose performance bottlenecks using Nsight Systems, Nsight Compute, and comparable tools. Report performance metrics, analyze speedups, and propose architectural improvements. Collaborate asynchronously with PyTorch Operator Specialists to integrate kernels into production frameworks. Produce well-documented, reproducible benchmarks and performance write-ups. 3) Ideal Qualifications Deep expertise in CUDA programming, GPU architecture, and memory optimization. Proven ability to achieve quantifiable performance improvements across hardware generations. Proficiency with mixed precision, Tensor Core usage, and low-level numerical stability considerations. Familiarity with frameworks like PyTorch, TensorFlow, or Triton (not required but beneficial). Strong communication skills and independent problem-solving ability. Demonstrated open-source, research, or performance benchmarking contributions. 4) More About the Opportunity Ideal for independent contractors who thrive in performance-critical, systems-level work. Engagements focus on measurable, high-impact kernel optimizations and scalability studies. Work is fully remote and asynchronous; deliverables are outcome-driven. Access to shared benchmarking infrastructure and reproducibility tooling via Mercor support resources. 5) Compensation & Contract Terms Typical range: $120–$250/hour, depending on scope, specialization, and results achieved. Payments will be based on accepted task output over flat hourly. Structured as a contract-based engagement, not an employment relationship. Compensation tied to measurable deliverables or agreed milestones. Confidentiality, IP, and NDA terms as defined per engagement. 6) Application Process Submit a brief overview of prior CUDA optimization experience, profiling results, or performance reports. Include links to relevant GitHub repos, papers, or benchmarks if available. Indicate your hourly rate, time availability, and preferred engagement length. Selected experts may complete a small, paid pilot kernel optimization project 7) About Mercor Mercor connects domain experts with top AI research and technology organizations through project-based contracts. Contractors operate independently, with full flexibility over methods, timelines, and tools. Our mission is to help top engineers and researchers access frontier technical work without rigid employment structures. Read Less
  • Digital Marketing Analysts  

    - London
    1. Role Overview Mercor is seeking experienced digital marketing analy... Read More
    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. Read Less
  • Political Analyst  

    - London
    Mercor is hiring Political Analysts on behalf of a leading AI Lab work... Read More
    Mercor is hiring Political Analysts on behalf of a leading AI Lab working to build models capable of understanding global politics, governance systems, and geopolitical reasoning. This is an opportunity to apply your political expertise to help train and evaluate AI systems designed to interpret political events, institutions, and policy decisions with depth and accuracy. Responsibilities Collaborate with AI researchers to train, evaluate, and refine AI models focused on political analysis, international relations, and policy interpretation. Assess model outputs for accuracy, neutrality, and contextual understanding of political systems, ideologies, and global events. Provide expert feedback on how AI models interpret political processes, governmental structures, and cross-border dynamics. Design and review scenario-based evaluations to test the model’s understanding of diplomacy, elections, conflict, and policy outcomes. Participate in synchronous collaboration sessions (4-hour windows, 2–3 times per week) to discuss evaluations, share domain insights, and help improve AI interpretive depth. Requirements Advanced degree or strong professional background in Political Science, International Relations, Public Policy, or Area Studies. Deep understanding of political theory, comparative politics, governance systems, and global policy frameworks. Familiarity with quantitative and qualitative analysis methods used in political research. Experience in policy analysis, risk assessment, or international relations is a strong plus. Excellent analytical writing and reasoning skills, with the ability to critique arguments and narratives. Commitment of 20–30 hours per week, including required synchronous collaboration sessions. Why Join Collaborate with a world-class AI research lab to help train models that analyze, reason, and communicate about global politics with human-level sophistication. Influence how AI systems understand governance, diplomacy, ideology, and international dynamics. Enjoy schedule flexibility — choose your own 4-hour collaboration windows and manage your 20–30 hour work week. Be engaged as an hourly contractor through Mercor, gaining autonomy and exposure to the frontier of AI-driven political research. Join a global network of experts from diverse fields — politics, economics, and data science — shaping the future of machine reasoning about society and governance. Contribute to building AI that can interpret complex political events with accuracy, balance, and contextual awareness. Read Less
  • Economist  

    - London
    Mercor is hiring Economists on behalf of a leading AI Lab developing a... Read More
    Mercor is hiring Economists on behalf of a leading AI Lab developing advanced models capable of economic reasoning and data interpretation. This role is ideal for economists who want to apply their domain expertise to train and improve AI systems in economic analysis, decision-making, and policy simulation. Responsibilities Collaborate with AI researchers to train, evaluate, and refine AI models on economics-related tasks. Review and assess model outputs involving macroeconomics, microeconomics, finance, and econometrics. Provide expert feedback on the accuracy, reasoning, and interpretability of model-generated economic analyses. Contribute to the design of quantitative experiments for evaluating AI understanding of economic systems and data trends. Participate in synchronous collaboration sessions (4-hour windows, 2–3 times per week) to discuss experiments, iterate on results, and refine model performance. Requirements Advanced degree or strong professional background in Economics, Econometrics, Finance, or a related quantitative field. Deep understanding of macroeconomic theory, microeconomic modelling, and statistical inference. Proficiency with economic modeling tools and data analysis software (e.g., Python, R, Stata, or MATLAB). Experience with simulation modeling, forecasting, or policy evaluation is highly valued. Excellent analytical writing, reasoning, and communication skills. Commitment of 20–30 hours per week, including required synchronous collaboration periods. Why Join Work directly with a world-class AI research lab, applying your economic expertise to train AI systems that think and reason like economists. Influence how advanced models interpret markets, policy dynamics, and economic data in real-world contexts. Enjoy schedule flexibility — select your preferred 4-hour collaboration windows and manage your own 20–30 hour work week. Be engaged as an hourly contractor through Mercor, giving you autonomy while contributing to frontier AI research. Collaborate with leading economists, data scientists, and AI researchers in a multidisciplinary setting. Join a global network of experts helping shape the next generation of intelligent, economically aware AI systems. Read Less
  • Linguistic Expert – Swedish (Sweden)  

    - London
    Mercor is hiring on behalf of a leading AI research lab to bring on a... Read More
    Mercor is hiring on behalf of a leading AI research lab to bring on a Linguistic Expert – Swedish (Sweden). This is a part-time, in-person position (10–20 hours per week) at one of our client offices in San Francisco, New York, Atlanta, London, or Singapore. You’ll help refine AI-generated Swedish, ensuring accuracy, fluency, and alignment with Swedish cultural and linguistic norms. Responsibilities Review, evaluate, and annotate Swedish AI-generated text. Provide guidance on grammar, semantics, tone, and phrasing. Create linguistic resources and documentation. Collaborate with research teams to address Swedish language challenges. Propose improvements to training datasets and algorithms. Requirements Native-level Swedish (Sweden) proficiency and strong English skills. Excellent grasp of grammar, syntax, and cultural nuance. Bachelor’s in Linguistics, Translation, or equivalent. Experience in content review, editing, or annotation. Knowledge of AI or NLP technologies is beneficial. Why Join Directly impact AI’s fluency in Swedish. Collaborate in person (10–20 hours weekly) with global researchers. Be part of pioneering work shaping the future of multilingual AI. Read Less
  • PyTorch Operator - ML Engineer  

    - London
    1) Role Overview Mercor is seeking experienced PyTorch experts who exc... Read More
    1) Role Overview Mercor is seeking experienced PyTorch experts who excel in extending and customizing the framework at the operator level. Ideal contributors are those who deeply understand PyTorch’s dispatch system, ATen, autograd mechanics, and C++ extension interfaces. These contractors bridge research concepts and high-performance implementation, producing clear, maintainable operator definitions that integrate seamlessly into existing codebases. 2) Key Responsibilities Design and implement new PyTorch operators and tensor functions in C++/ATen. Build and validate Python bindings with correct gradient propagation and test coverage. Create “golden” reference implementations in eager mode for correctness validation. Collaborate asynchronously with CUDA or systems engineers who handle low-level kernel optimization. Profile, benchmark, and report performance trends at the operator and graph level. Document assumptions, APIs, and performance metrics for reproducibility. 3) Ideal Qualifications Deep understanding of PyTorch internals (TensorIterator, dispatcher, autograd engine). Strong background in C++17+ and template metaprogramming within PyTorch’s ecosystem. Experience authoring or extending PyTorch custom ops or backends. Working knowledge of performance profiling tools and GPU/CPU interplay. Strong written communication and ability to deliver well-documented, self-contained modules. Prior open-source contributions to PyTorch, TorchInductor, Triton, or related projects are a plus. 4) More About the Opportunity Ideal for contractors who enjoy building clean, high-performance abstractions in deep learning frameworks. Work is asynchronous, flexible, and outcome-oriented. Collaborate with CUDA optimization specialists to integrate and validate kernels. Projects may involve primitives used in state-of-the-art AI models and benchmarks. 5) Compensation & Contract Terms Typical range: $100–$200/hour, depending on experience and project scope. Structured as an independent contractor engagement, not employment. Payments for services rendered on a milestone or weekly invoice cadence. Confidentiality and IP assignment agreements may apply. 6) Application Process Share a concise summary of your experience with PyTorch internals and systems-level programming. Include links to open-source work, GitHub PRs, or sample operator implementations. Provide hourly rate, availability, and relevant technical background. Selected experts may complete a short, paid pilot module to demonstrate fit. 7) About Mercor Mercor connects top-tier independent professionals with leading AI labs and research organizations. Contractors retain full control over their work, schedule, and deliverables. Our engagements focus on high-skill, high-autonomy technical work across AI systems and optimization Read Less
  • Peak Sales Forecasting Expert  

    - London
    The client’s current peak-sales forecasting framework produces strong... Read More
    The client’s current peak-sales forecasting framework produces strong numerical outputs and narratives, but requires real-world forecast accountability — the kind held by people who’ve owned forecasts that drove BD, portfolio, or investment decisions. We are looking for a senior commercial / forecasting expert to: Write “golden” peak-sales forecasts for representative drug programs and standard prompts. Define structural checks, scenario logic, and sanity bands for automated forecast evaluations. Make explicit the heuristics and base-rate assumptions used by experienced forecasters to tell a realistic model from a speculative one. Profile: Industry Commercial Forecaster: Director/Sr. Director/VP-level experience in global forecasting, brand planning, or commercial insights. Built and defended patient-based peak-sales models used in portfolio, BD, or investment contexts. Familiar with forecasting for multiple drugs or indications, particularly during pre-launch and early commercialization stages. Can articulate the reasoning behind base-case assumptions (penetration, price, ramp, LOE) and how they evolve post-launch. Has written or reviewed governance-ready peak-sales models (e.g., for launch committees or investor boards). Market/VC/Buy-side Analyst: Senior biotech equity analyst, VC incubation / BD lead, or company creation expert (e.g., from Third Rock, ARCH, Versant, RTW, Venrock, or similar). Built patient-level and revenue models used for investment diligence or asset valuation. Can critique or improve bottoms-up forecasts from an investor’s perspective, identifying optimistic biases and false comparables. Experience level ~10–15 years in biotech/pharma forecasting, investment, or commercial strategy roles. Experience spanning pre-launch forecasts → post-launch actuals for multiple assets. CV/LinkedIn bullets like “led global forecast for [drug],” “responsible for long-range revenue planning and peak-sales scenarios,” or “built patient-based forecasts for portfolio decisions.” Strong comfort with market modeling logic (TPP inputs → eligible pool → penetration → price/net → ramp + LOE). Evidence of post-hoc learning — can articulate where real-world results diverged from base-case assumptions. Expectations: Inputs we give: Forecast prompts (representative TPPs, analogs, and SoC/pricing/launch assumptions). Access to anonymized or simulated data sets for building base cases. Expected outputs (per prompt): Golden Forecast Output: A benchmark-quality peak-sales forecast (peak value, revenue curve by key years) plus a concise narrative (3–5 key drivers, 2–3 downside risks). The output should show how the expert calibrates realistic vs. inflated scenarios. Forecast Rubric: A structured evaluation framework with critical checks (market structure realism, patient flow logic, analog consistency, regional splits, LOE handling). Should define clear scoring thresholds — e.g., unacceptable → excellent. Know-how Layer: Commentary explaining how experienced forecasters anchor their assumptions: How they select base rates and analogs. How they temper over-optimism (payer pushback, access limits, share ceilings). How they identify when a model’s structure or magnitude is implausible. Engagement Model & Compensation Contract / Part-time (Remote) — work flexibly with data science and evaluation teams. Read Less
  • Applied Data Scientists  

    - London
    1. Role Overview Mercor is seeking applied data science professionals... Read More
    1. Role Overview Mercor is seeking applied data science professionals to support a strategic analytics initiative with a global enterprise. This contract-based opportunity focuses on extracting insights, building statistical models, and informing business decisions through advanced data science techniques. Freelancers will translate complex datasets into actionable outcomes using tools like Python, SQL, and visualization platforms. This short-term engagement emphasizes experimentation, modeling, and stakeholder communication — distinct from production ML engineering. 2. Key Responsibilities Translate business questions into data science problems and analytical workflows Conduct data wrangling, exploratory analysis, and hypothesis testing Develop statistical models and predictive tools for decision support Create compelling data visualizations and dashboards for business users Present findings and recommendations to non-technical stakeholders 3. Ideal Qualifications 5+ years of applied data science or analytics experience in business settings Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills Experience with data visualization tools (e.g., Tableau, Power BI) Solid understanding of statistical modeling, experimentation, and A/B testing Strong communication skills for translating technical work into strategic insights 4. More About the Opportunity Remote Expected commitment: min 30 hours/week Project duration: ~6 weeks 5. Compensation & Contract Terms $75–100/hour 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 Read Less

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Astrid-Lindgren-Weg 12 38229 Salzgitter Germany