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Quantitative Finance Expert - Earn $150/hr! (Train AI Models Part Time!)

Kansas City, United States · Remote Full-time
Data ScientistResearch ScientistPython DeveloperQuantitative AnalystQuant DeveloperRisk AnalystFull Stack Python Developer

Archer is matching candidates to this role at Mercor. Create a free profile and Archer will check you against this role and every other live role, showing you exactly where you match.

Pay: $150 per hour (paid weekly, flexible part-time hours)

About the Role

Mercor is partnering with a leading AI research lab to train frontier models on rigorous quantitative reasoning. We're hiring Quantitative Finance Experts to evaluate and compare model outputs on challenging finance problems, helping shape how the next generation of AI reasons about markets, derivatives, and risk.

Your experience in quantitative modeling, derivatives pricing, and statistical analysis will ensure each evaluation is accurate, precise, and grounded in real-world financial reasoning.

What You'll Do

  • Compare two AI-generated responses to the same prompt and decide which one is better
  • Work from the provided input files and read each model's reasoning / thought process to inform your judgment
  • Clearly explain why one output outperforms the other, citing methodological soundness, correctness, and quality of quantitative reasoning
  • Provide written feedback the research team uses to improve model behavior
  • Participate in onboarding and specialty calibration sessions

You're a Good Fit If You

  • Have 2+ years of professional experience in quantitative finance (hedge fund, quant trading, derivatives, risk, or equity research)
  • Hold an advanced degree (MS/PhD) in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, or Economics - or equivalent industry experience
  • Are comfortable programming in Python (NumPy/pandas) for modeling and analysis
  • Demonstrate excellent written communication with high attention to detail

Role Highlights

  • Flexible workload: 10–20 hours per week
  • Role starts immediately; applications reviewed on a rolling basis

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