## 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
Remote Quantitative Finance Expert - AI Trainer ($150-$150 per hour) • Yonkers, New York, US
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