Scientific Computing Expert — Mathematics PHD - $300/Approved Task

Turing; United States; Remote; USD 273,000 - 364,000; Full time

Job summary

Turing is seeking Mathematics experts to design and build terminal-based computational tasks for AI evaluation. You will create multi-step environments with datasets, equations, and constraints, implementing solutions in Python, R, Julia, C/C++, or Bash.

The role emphasizes rigorous grading, numerical accuracy, and reproducibility, with tasks that test AI agents' ability to formulate problems and produce verifiable results.

Qualifications

• PhD or equivalent advanced technical experience in mathematics, statistics, or a closely related discipline.
• Strong programming skills in Python, R, Julia, C/C++, Bash, or similar.
• Experience working in Linux or terminal-based environments.
• Experience with numerical methods, optimization, statistics, mathematical modeling, or scientific computation.

Responsibilities

• Design and build authentic computational mathematics tasks in self-contained terminal environments with datasets, equations, model definitions, constraints, and expected outputs.
• Implement expert solutions using Python, R, Julia, C/C++, Bash, or other relevant tools for optimization, numerical integration, differential equations, or matrix computation.
• Define rigorous grading criteria including numerical accuracy, convergence, stability, and reproducibility.
• Develop automated tests and debug issues, validating results across edge cases and alternative implementations.
• Document assumptions, mathematical formulations, outputs, and known limitations.

Skills

Python

R

Julia

C/C++

Bash

Linux

Numerical methods

Optimization

Statistics

Algorithm analysis

Education

PhD in Mathematics/Statistics or related field

Job description

Design and build computational mathematics tasks for AI evaluation.

About Turing

Turing is one of the world's leading AGI infrastructure companies, working with frontier AI labs to accelerate model development through high-quality training data, evaluations, and engineering talent.

Engagement Details

• Commitments Required: At least 6 hours per day and a minimum of 40 hours per week, with a 4-hour overlap with PST.

• Employment Type: Contractor assignment (no medical/paid leave)

• Duration of Contract: 5 weeks (expected start date is next week)

• Payment Type: Pay per task — $300 per approved task

About the Role

We are seeking Mathematics experts to develop realistic, terminal-based scientific tasks for Terminal Bench Science. You will design tasks involving numerical analysis, optimization, statistics, mathematical modeling, probability, dynamical systems, and computational mathematics. The role focuses on evaluating whether AI agents can formulate mathematical problems, implement reliable algorithms, operate in a terminal environment, debug numerical workflows, and produce verifiable computational results.

What You'll Do

1. Design and build authentic computational mathematics tasks — translate mathematical and research workflows into self-contained, multi-step terminal environments, complete with datasets, equations, model definitions, constraints, and expected outputs.

2. Implement expert solutions using Python, R, Julia, C/C++, Bash, or other relevant tools, covering areas such as optimization, numerical integration, differential equations, matrix computation, statistical inference, stochastic modeling, or algorithm analysis.

3. Define rigorous grading criteria, including numerical accuracy, convergence, complexity, feasibility, and mathematical correctness, along with appropriate tolerances, stopping criteria, stability requirements, and reproducibility controls.

4. Develop automated tests and debug issues — validate results across edge cases and alternative valid implementations, and troubleshoot problems involving floating-point precision, solver failures, conditioning, convergence, and performance.

5. Document the work thoroughly, including assumptions, mathematical formulations, expected outputs, and known limitations.

What We're Looking For

1. Ph.D., postdoctoral experience, or equivalent advanced technical experience in mathematics, statistics, or a closely related discipline.

2. Strong programming skills in Python, R, Julia, C/C++, Bash, or another relevant language.

3. Experience working in Linux or terminal-based environments.

4. Experience with numerical methods, optimization, statistics, mathematical modeling, or scientific computation.

5. Ability to independently implement, test, and validate computational algorithms.

Skills: PhD Maths