Train AI with Real Financial Experience.
The models shaping the future of AI are only as rigorous as the finance experts behind them. Apply your expertise where it matters, and get paid to do it.
Charlie
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This is not busywork.
The most advanced language models still hallucinate earnings figures, misapply valuation frameworks, and invent regulatory requirements. You're the analytical filter that catches what machines can't — one annotation at a time.
Three steps.
No overhead.
Apply & Qualify
Complete a short financial reasoning assessment. We evaluate your ability to identify flawed analysis, apply correct methodologies, and distinguish sound financial judgment from poor. No resume required — your analysis speaks for itself.
Get Matched
Based on your background and assessment results, you're matched to projects in your areas of strength. Valuation, corporate finance, derivatives, regulatory compliance, tax — you choose what fits.
Work & Get Paid
Complete projects on your own schedule. Each project has clear specifications and a defined scope. Payment is per-project, processed weekly, starting at $50/hour.
What you'll actually do.
Write a prompt
Craft precise financial prompts designed to probe the boundaries of model reasoning — not trivia, but questions that expose flawed valuations, misapplied accounting standards, and hallucinated market data.
Review AI output
Evaluate model-generated financial analysis line by line. Identify hallucinated earnings figures, misapplied discount rates, and logical gaps in risk assessment frameworks.
Write the correct solution
Author a complete, analytically rigorous financial analysis that demonstrates the correct reasoning. This becomes training signal for the next model generation.
Where models need you most.
These are the financial domains where current AI systems consistently produce dangerous errors. Your expertise directly addresses the hardest open problems in financial AI.
Equity Research & Valuation
Evaluate AI reasoning about DCF models, comparable company analysis, precedent transactions, and earnings forecasts. Verify assumptions on WACC derivation, terminal value, and revenue build-ups.
Fixed Income & Credit
Review model outputs on bond pricing, yield curve analysis, credit risk assessment, and structured product mechanics. Catch errors in duration calculations, spread analysis, and covenant interpretation.
Derivatives & Quantitative Finance
Assess AI-generated derivatives pricing, hedging strategies, and quantitative models. Verify Greeks calculations, option strategy payoffs, and stochastic model assumptions.
Regulatory & Compliance
Evaluate reasoning about financial regulations, reporting standards, and compliance frameworks. Identify misapplied GAAP/IFRS rules, incorrect Basel III/IV interpretations, and flawed Dodd-Frank analysis.
Portfolio & Risk Management
Review model outputs on portfolio construction, asset allocation, risk budgeting, and performance attribution. Verify optimization assumptions, factor exposure analysis, and drawdown calculations.
A selective community of experts
Work alongside writers, lawyers, health professionals, coders, professors, and bilingual experts shaping the future of AI.
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The problems here actually require engineering judgment. It's some of the most rigorous work I've done outside of a staff role.
Marcus
Software Engineer
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The variety is what I didn't expect. One week I'm rewriting technical explanations, the next I'm evaluating how a model handles tone and voice.
Julia
Senior Copywriter
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Clinical nuance matters in this work. It's rare to find contract work where my specialty actually gets used properly.
Melissa
Clinical Reviewer
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The evaluation work here is more rigorous than most PM research I've run in-house. I've genuinely changed how I think about product quality.
Azhar
Senior Product Manager
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Legal reasoning in AI is still an unsolved problem. Getting to shape how these models handle it, from a practitioner's perspective, is the work I actually want to be doing.
Krysta
Solicitor
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The code review standards here are higher than most teams I've worked on. It's sharpened how I think about edge cases in my day job.
Tyler
Senior Engineer
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Pressure-testing these tools surfaces failure modes that matter. The work holds up to the standards I'd apply in practice.
Abi
Litigation Attorney
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Most freelance work in my field is content mills. This is the first engagement where my clinical training is the reason I was hired, not an afterthought.
Liana
Clinical Researcher
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My writing background is exactly what this work needs. Evaluating how models handle narrative, voice, and subtext is surprisingly rigorous.
Mi Ji
Screenwriter
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Expert annotators
Annotations completed
Built for people who think in basis points.
Finance Students
MBA candidates and advanced finance students with strong analytical foundations in valuation, accounting, and market structure.
Analysts & Associates
Investment banking, equity research, and credit professionals looking for flexible, intellectually engaging work outside deal hours.
Portfolio Managers
Buy-side professionals applying investment expertise and risk management knowledge to AI training data on their own schedule.
Academic Economists
PhDs and researchers with deep domain knowledge in financial economics, econometrics, or quantitative modeling.
Frequently Asked Questions
Have questions? Here we answer the most common questions.
You'll work on tasks that help AI perform better, like reviewing responses, checking accuracy, refining prompts, and rating outputs. No coding or technical background needed.
Projects vary but commonly include reviewing AI-generated text, ranking responses, checking facts, labeling data, and reviewing content in specific subject areas. All focused on improving real production AI systems.
This is ideal for people with strong reasoning skills, attention to detail, and subject-matter expertise who want flexible, remote work with real impact. Researchers, students, professionals, and independent contributors who enjoy analytical work and want to contribute to advancing AI systems.
This is a flexible, task-based contractor role. You work remotely on your own schedule, focused on output quality rather than hours logged. There is no long-term commitment required, and you can work as much or as little as you choose.
Get ahead in a changing workforce.
No recruiters. No interviews. Just meaningful work and real compensation.