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DataAnnotation

Quantitative Analyst

About this role

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 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. How it works Apply Qualify Work & get paid 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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