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Quantitative Analyst (Finance)

Evaluate AI responses on stochastic modeling, derivatives pricing, statistical arbitrage, and risk, then build rubrics for finance tasks. This worldwide role calls for quantitative finance experience and Python, R, or C++ skills.

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OpenTrain AI

Generative AI & RLHF

100% Remote Hourly pay

Hourly

Compensation

Contract, part-time

Engagement

Remote

Location

Nov 6, 2026

Posted

Open worldwide

The work

Use your quantitative finance knowledge to evaluate large language model responses and help improve AI systems.

  • Assess model answers about stochastic modeling, derivatives pricing, statistical arbitrage, and risk measurement.
  • Create assessment rubrics for options pricing, Monte Carlo simulation, factor models, and backtesting.
  • Work with AI researchers and finance experts on training methods, evaluation strategies, and benchmarks.

Hours and requirements

  • Time commitment: 20 or more hours per week.
  • The project is expected to last about one month, with a possible extension based on project needs.
  • At least 2 years of quantitative finance experience, such as quant trading, quant research, financial engineering, or risk modeling.
  • Strong knowledge of stochastic calculus, statistical modeling, and derivatives pricing theory.
  • Programming experience in Python, R, or C++, and excellent written English.
  • Prior AI training experience is not required.

How to apply

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training is human work that helps AI systems learn from examples. Finance specialists use their subject knowledge to assess model answers and create clear standards for evaluating them.

Requirements

  • Languages: English

How to apply

  1. Apply here on OpenTrain. You create a free account, and we send you to the hiring platform.
  2. Complete your application on the hiring platform.

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