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.

What You'll Bring

- A PhD, postdoctoral experience or equivalent advanced technical experience in a relevant physical-science discipline.
- Solid 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.

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

Compensation

- $300 per approved task.
- Tasks are estimated to take six to eight hours on average.

📌 Physical Sciences Expert - AI Training (India)
🏢 Braintrust
📍 India