Physical Sciences Expert - AI Training
Braintrust · India
- SalaryDisclosed
- Work moderemote
- Posted25 Sept 2026
About Braintrust
Braintrust is hiring in India in technology software.
Skills
- scientific modeling
- simulations
- quantitative analysis
- computational experiments
- Python
- C/C++
- Julia
- Bash
- Linux
- numerical precision
- reproducibility
- automated testing
The role
A physical sciences expert at an AI research company designs scientific modeling tasks, builds Python solutions, and validates reproducible computational experiments. Linux environments and automated testing support rigorous benchmark creation for physics, chemistry, and materials science workflows.
Full job description
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.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.
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.