Quantitative Analyst

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.

Compensation

$75 to $125+/hr depending on task difficulty and specialization. Many contributors add $10k to $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.

Terms

• Engagement: Independent contractor
• Hours: Flexible hours
• Location: Remote
• Payouts: Weekly