Physical Sciences Expert - AI Training

Braintrust · via Turing

Pay not stated 9 countries Full-time 40–40 h/week Expert / credentialed

Short contract turning physics, chemistry or materials workflows into reproducible computational tasks that AI agents must solve in a Linux terminal. Suits PhD-level scientists who can build, debug and validate numerical workflows.

Help evaluate how AI systems solve real scientific problems. In this short-term project, you will turn physics, chemistry, materials science or related research workflows into challenging, reproducible tasks that an AI agent must complete in a Linux terminal.
What you'll do

  • Design multi-step tasks involving scientific modeling, simulations, quantitative analysis or computational experiments.
  • Build working solutions and self-contained environments, prepare scientific inputs, and create automated tests for accurate and reproducible results.

- Debug calculations and dependencies, and document units, assumptions, numerical tolerances and scientific limitations.

  • Debug calculations and dependencies, and document units, assumptions, numerical tolerances and scientific limitations.
  • A PhD, postdoctoral experience or equivalent advanced technical experience in a relevant physical-science discipline.
  • Strong programming skills in Python, C/C++, Julia, Bash or another scientific programming language, plus experience working in Linux or terminal environments.
  • Experience independently creating and validating scientific workflows, with an understanding of numerical precision, physical constraints and reproducibility.

- Benchmark design, research software, publications and open-source contributions are welcome but not required.

  • Benchmark design, research software, publications and open-source contributions are welcome but not required.
  • Expected project length: five weeks.
  • Availability: 40 hours per week, including four hours of overlap with Pacific working hours each day.

- Selection includes a short interest form, a 60-minute assessment and a final review with the team.

  • Selection includes a short interest form, a 60-minute assessment and a final review with the team.
  • $300 per approved task.
  • Tasks are estimated to take six to eight hours on average.

Listing from Braintrust's job board. Details can change; the platform's page is the final word.

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