Scientific Computing Expert — Mathematics PHD

Turing, a global leader in AGI infrastructure, partners with cutting-edge AI laboratories to accelerate model development by providing high-quality training data, evaluations, and engineering expertise. We are currently seeking Mathematics experts to contribute to the development of realistic, terminal-based scientific tasks for Terminal Bench Science. This role involves designing complex mathematical problems and workflows that challenge AI agents to formulate, implement, and debug algorithms within a terminal environment, ensuring the production of accurate and verifiable computational results.

Key Responsibilities
- Design and develop authentic computational mathematics tasks by translating mathematical and research workflows into self-contained, multi-step terminal environments. These tasks will include datasets, equations, model definitions, constraints, and expected outputs.
- Implement expert-level solutions using programming languages such as Python, R, Julia, C/C++, Bash, or other relevant tools. Areas of focus include optimization, numerical integration, differential equations, matrix computations, statistical inference, stochastic modeling, and algorithm analysis.
- Define rigorous grading criteria encompassing numerical accuracy, convergence, computational complexity, feasibility, and mathematical correctness. Establish appropriate tolerances, stopping criteria, stability requirements, and reproducibility controls.
- Develop and execute automated tests to validate results across edge cases and alternative valid implementations. Troubleshoot issues related to floating-point precision, solver failures, conditioning, convergence, and performance.
- Thoroughly document all work, including assumptions, mathematical formulations, expected outputs, and known limitations to ensure clarity and reproducibility.

Required Qualifications
- Ph.D., postdoctoral experience, or equivalent advanced technical expertise in mathematics, statistics, or a closely related discipline.
- Strong programming skills in Python, R, Julia, C/C++, Bash, or other relevant languages.
- Experience working in Linux or terminal-based environments.
- Proficiency with numerical methods, optimization techniques, statistics, mathematical modeling, or scientific computation.
- Demonstrated ability to independently implement, test, and validate computational algorithms.

Engagement Details
This is a contractor assignment requiring a commitment of at least 6 hours per day and a minimum of 40 hours per week, with a mandatory 4-hour overlap with Pacific Standard Time (PST). The contract duration is five weeks, with an expected start date in the upcoming week. Compensation is task-based, with payment of $300 per approved task. Please note that this is a contractor role without medical benefits or paid leave.

Turing offers an opportunity to work at the forefront of AI infrastructure development, engaging with challenging problems that push the boundaries of computational mathematics and AI evaluation. If you have a passion for mathematical rigor and computational precision within a dynamic, terminal-driven environment, this role provides a unique platform to apply your expertise and contribute to groundbreaking AI advancements.