Posted 15 days ago
Description
Overview
Models handle textbook finance fine and fall apart on the real thing: mispriced risk, subtly wrong derivations, and models that ignore market microstructure.
Overview
Models handle textbook finance fine and fall apart on the real thing: mispriced risk, subtly wrong derivations, and models that ignore market microstructure.
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 $125+/hr depending on task difficulty and specialization. Many contributors add $100k-$200k a year; some make it their full-time income.
About DataAnnotation
DataAnnotation is where 1M+ experts train the world’s leading AI models. Hundreds of millions paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available.
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