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OpenTrain AI, Inc. is seeking a part-time contractor to design and verify complex problem sets in financial mathematics, using Python to validate solutions and ensure reproducibility. The work spans stochastic processes, optimization, simulation, time series, and risk modeling, with rigorous documentation.
The role requires intermediate experience, offers worldwide remote collaboration, and pays hourly depending on the project and expertise, with 20+ hours per week expected.
You will design and verify complex, research-style problem sets in financial mathematics and quantitative finance. The problems should require advanced computational methods and be too complex to solve manually.
You will use Python to validate every solution and provide clear, reproducible documentation so others can check the results.
This is a part-time contractor role for someone with intermediate experience in the field. The work is open worldwide and requires a strong understanding of quantitative finance and computational mathematics.
AI training work uses examples created and reviewed by people to improve how artificial intelligence systems respond. In this role, your technical knowledge helps create reliable examples for models working with mathematics, Python, and quantitative finance.