Models handle textbook finance fine and fall apart on the real thing: mispriced risk, subtly wrong derivations, and models that ignore market microstructure.
As a Quantitative Analyst you'll stress-test AI financial reasoning and write the analysis a practitioner would actually stand behind.
What you’ll actually do
Write prompts that probe quantitative reasoning: pricing, risk, portfolio construction, and statistical modeling.
Review AI output for flawed derivations, misused models, and misread data, and rate the reasoning.
Write the correct analysis when the model falls short, with the rigor of a desk-quality review.
Roles this fits
Common backgrounds: Quantitative Analyst, Quant Researcher.
What we look for
Professional experience in quantitative finance, trading, or risk, or a strong research background.
Fluency with the underlying mathematics: probability, statistics, and stochastic methods.
Clear written English: your explanations are the training signal.
No degree required. We care about what you can do, not where you learned it.
Compensation
Up to $40 – $125+/hr depending on task difficulty and specialization. Many contributors add $10k–$100k+ a year; some make it their full-time income.
About DataAnnotation
DataAnnotation is where 100k+ experts train the world’s leading AI models. $150M+ paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available.
How it works
Apply, pass the qualification assessment, then pick up paid projects whenever you want and get paid weekly.
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