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.
Research-grade standards.
We require excellence, just as you would require in a client deliverable. The analysts and professionals on our platform aren't here to tick boxes. They're here because the quality standard matters to them.
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“This is evaluation by people who understand system behavior and edge cases. The focus is always on improving model reliability.”
Daniel
Research Engineer
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“Every decision is grounded in first-principles reasoning. The standards are comparable to what I’ve seen in academic and industrial research.”
Anita
Applied Scientist
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“This is annotation done by people who understand models, not just labels. The quality bar is high and enforced.”
Elena
Senior ML Engineer
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“The work demands subject-matter expertise. Decisions are justified, reviewed, and aligned to well-defined taxonomies.”
Stephen
Research Scientist
Financial tasks completed weekly
Active finance contributors
Financial institutions represented
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.
You’ll work on projects that improve AI systems, such as reviewing responses, checking accuracy, refining prompts, ranking outputs, and validating model behavior.
Projects include data labeling, annotation, evaluation, and quality review across text, images, and structured tasks—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.
This is a flexible, task-based contractor role. There is no long-term commitment required, and you can work as much or as little as you choose.
Available projects vary but commonly include prompt evaluation, response ranking, factual accuracy checks, domain-specific review, and structured annotation tasks.
Researchers, students, professionals, and independent contributors who enjoy analytical work and want to contribute to advancing AI systems.
This is remote, asynchronous work focused on output quality rather than hours logged. Performance is evaluated based on contribution quality and consistency.
Get ahead in a changing workforce.
No recruiters. No interviews. Just meaningful work and real compensation.