Scientific Computing Expert — Physical Sciences - $300/Approved Task

About this role

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 Physical Sciences experts to develop realistic, terminal-based scientific tasks for Terminal Bench Science. You will translate authentic physics, chemistry, materials science, astronomy, and computational science workflows into reproducible benchmark environments. The role involves creating scientific inputs, computational models, executable solutions, automated tests, and objective grading criteria — helping evaluate whether AI agents can reason through scientific problems, operate command-line tools, debug calculations, and produce reliable scientific artifacts. What You Will Do Design multi-step terminal tasks based on realistic physical-science workflows, developing self-contained computational environments with pinned dependencies and scientific software. Create input datasets, molecular structures, simulation parameters, experimental data, or model configurations. Implement expert solutions using Python, Bash, C/C++, Julia, or domain-specific tools, covering simulations, numerical modeling, data fitting, optimization, spectroscopy, molecular analysis, or scientific visualization. Develop automated tests for numerical accuracy, physical consistency, convergence, and output structure, defining appropriate numerical tolerances, units, boundary conditions, and expected scientific behavior. Validate that tasks are reproducible and execute successfully without runtime downloads, and debug issues involving dependencies, precision, solver stability, performance, and file formats. What We Are Looking For Ph.D., postdoctoral experience, or equivalent advanced technical experience in a relevant physical-science discipline. Strong programming skills in Python, C/C++, Julia, Bash, or another scientific programming language. Experience working in Linux or terminal-based environments. Experience with numerical methods, scientific modeling, simulations, or quantitative data analysis. Ability to create and validate computational scientific workflows independently.

Skills & domains

• ai-training
• science