Computational Mathematics Expert - AI Training

Braintrust; Turkey; On-site; TRY 101,145,000 - 141,604,000; Part time

Job summary

Braintrust seeks a highly skilled independent researcher to design multi-step mathematical tasks, implement robust algorithms, and validate numerical results in Linux environments. You will build end-to-end workflows, prepare inputs and expected outputs, and run automated tests to ensure accuracy and reproducibility.

Ideal candidates hold a PhD or equivalent in math/statistics, with strong programming in Python, R, Julia, C/C++, Bash, and a track record of numerical stability analysis.

Qualifications

• PhD or equivalent advanced technical experience in mathematics, statistics or related field.
• Strong programming skills in Python, R, Julia, C/C++, Bash or other relevant language.
• Experience independently implementing computational algorithms with numerical stability and error analysis.

Responsibilities

• Design multi-step tasks in numerical analysis, optimization, statistics or mathematical modeling.
• Build working solutions, prepare inputs and expected outputs, and create automated tests for numerical correctness.
• Debug numerical issues and document assumptions, tolerances and reproducibility requirements.

Skills

Numerical analysis

Linux/terminal

Independent algorithm implementation

Education

PhD or equivalent in mathematics/statistics

Tools

Python

R

Julia

C/C++

Bash

Job description

Help evaluate how AI systems solve real mathematical problems. In this short-term project, you will turn research and computational workflows into challenging, reproducible tasks that an AI agent must complete in a Linux terminal.

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.