Scientific Computing Expert — Physical Sciences

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 experts in Physical Sciences to contribute to Terminal Bench Science by developing realistic, terminal-based scientific tasks. This role involves translating authentic workflows from physics, chemistry, materials science, astronomy, and computational science into reproducible benchmark environments. The goal is to help evaluate AI agents’ ability to reason through scientific challenges, operate command-line tools, debug calculations, and generate reliable scientific outputs.

Key Responsibilities:
- Design multi-step terminal tasks grounded in realistic physical-science workflows, creating self-contained computational environments with fixed dependencies and scientific software.
- Develop input datasets, molecular structures, simulation parameters, experimental data, or model configurations relevant to the tasks.
- Implement expert solutions using programming languages such as Python, Bash, C/C++, Julia, or domain-specific tools, covering areas like simulations, numerical modeling, data fitting, optimization, spectroscopy, molecular analysis, and scientific visualization.
- Create automated tests to assess numerical accuracy, physical consistency, convergence, and output structure, establishing appropriate numerical tolerances, units, boundary conditions, and expected scientific behavior.
- Ensure tasks are reproducible and run successfully without requiring runtime downloads. Troubleshoot and resolve issues related to dependencies, numerical precision, solver stability, performance, and file formats.

Required Qualifications:
- Ph.D., postdoctoral experience, or equivalent advanced technical expertise in a relevant physical-science discipline.
- Proficiency in programming languages such as Python, C/C++, Julia, Bash, or other scientific programming languages.
- Experience working in Linux or terminal-based environments.
- Strong background in numerical methods, scientific modeling, simulations, or quantitative data analysis.
- Demonstrated ability to independently create and validate computational scientific workflows.

Engagement Details:
This is a contractor role 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 5 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 assignment and does not include medical benefits or paid leave.

This opportunity is ideal for professionals passionate about advancing AI capabilities through rigorous scientific benchmarking and who thrive in a fast-paced, collaborative environment. If you have the expertise and dedication to help shape the future of AI-driven scientific discovery, Turing offers a unique platform to make a significant impact.