Quantitative Analyst (AI Training)
Overview:
- 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 doWrite 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 Data
- AnnotationDataAnnotation 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.
- Apply now
- Hourly rate up to $125+ / hour
- Commitment Flexible hours
- Type Independent contractor
- Payouts WeeklyApply now