Computational Mathematics Expert - AI Training

Braintrust; Colombia; Remote; COP 222,941,000 - 267,530,000; Full time

Job summary

Braintrust seeks a researcher to evaluate how AI systems solve real mathematical problems. This short-term project turns research workflows into reproducible tasks executed in a Linux terminal.

You will design multi-step tasks across numerical analysis and modeling, build solutions, inputs and tests, and document assumptions, tolerances and reproducibility requirements. Availability is five weeks at 40 hrs/week with some Pacific-time overlap.

Qualifications

• PhD or postdoctoral experience in mathematics, statistics or a closely related field.
• Strong programming in Python, R, Julia, C/C++, Bash, and Linux terminal environments.
• Experience implementing and validating computational algorithms with attention to numerical stability.

Responsibilities

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

Skills

Python

R

Julia

C/C++

Bash

Linux

Education

PhD or postdoctoral experience in mathematics, statistics or related field

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.