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

per hour

Contractor Remote Last verified 21 Jul 2026

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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

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.
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.
Define rigorous grading criteria, including numerical accuracy, convergence, complexity, feasibility, and mathematical correctness, along with appropriate tolerances, stopping criteria, stability requirements, and reproducibility controls.
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.
Document the work thoroughly, including assumptions, mathematical formulations, expected outputs, and known limitations.

You're a Good Fit If You

Required skills: PhD Maths
Ph.D., postdoctoral experience, or equivalent advanced technical experience in mathematics, statistics, or a closely related discipline.
Strong programming skills in Python, R, Julia, C/C++, Bash, or another relevant language.
Experience working in Linux or terminal-based environments.
Experience with numerical methods, optimization, statistics, mathematical modeling, or scientific computation.
Ability to independently implement, test, and validate computational algorithms.

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Role Highlights

Pay

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Contract

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Location

Remote

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Independent contractor engagement through Turing. Apply via the link below - Turing handles vetting, onboarding and payment.

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Turing has a reliability rating of very reliable based on the listings we track, with an onboarding time of 5-14 days. See our full Turing review for the details behind that rating.

Applying takes you to Turing's own website, where the application is completed. We are not a recruiter or employer and do not process applications directly - we may be recorded as the referring source.

Pay varies - Independent contractor engagement through Turing. Apply via the link below - Turing handles vetting, onboarding and payment.

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

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