Computational Mathematics Expert - AI Training

What you'll do: Design multi-step tasks in areas such as numerical analysis, optimization, statistics, probability or mathematical modeling. Build working solutions, prepare inputs and expected outputs, and create automated tests that check mathematical correctness. Debug numerical issues and document assumptions, tolerances and reproducibility requirements.

What you'll bring: A PhD, postdoctoral experience or equivalent advanced technical experience in mathematics, statistics or a closely related field. Strong programming skills in Python, R, Julia, C/C++, Bash or another relevant language, plus experience working in Linux or terminal environments. Experience independently implementing and validating computational algorithms, including numerical stability and error analysis. Benchmark design, research software, publications and open-source contributions are welcome but not required. Project details Expected project length: five weeks. Availability: 40 hours per week, including four hours of overlap with Pacific working hours each day. Selection includes completing a short interest form, a 60-minute assessment and a final review/interview. Compensation$300 per approved task. Tasks are estimated to take six to eight hours on average.