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

Turing; United States; Remote; USD 67,000 - 134,000; Full time

Job summary

Turing is seeking Physical Sciences experts to design terminal-based tasks for evaluating AI reasoning and reproducibility in scientific workflows. You will translate physics, chemistry, materials science, astronomy, and computation workflows into benchmark environments with pinned dependencies and executable solutions.

Responsibilities include developing inputs, models, tests, and objective grading criteria, ensuring tasks run without runtime downloads, and validating precision, stability, and

Qualifications

• 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.

Responsibilities

• Design multi-step terminal tasks based on realistic physical-science workflows and build self-contained environments.
• Create input datasets, structures, parameters, and configurations.
• Implement solutions using Python, Bash, C/C++, Julia or domain tools for simulations and modeling.
• Develop automated tests for numerical accuracy, convergence, and data integrity.
• Ensure reproducibility and diagnose issues related to dependencies, precision, and file formats.

Skills

Python

C/C++

Julia

Bash

Linux

Numerical methods

Scientific programming

Education

Ph.D., or equivalent advanced technical experience in a physical-science discipline

Job description

Create terminal-based scientific tasks for physical science workflows.

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

1. Design multi-step terminal tasks based on realistic physical-science workflows, developing self-contained computational environments with pinned dependencies and scientific software.

2. Create input datasets, molecular structures, simulation parameters, experimental data, or model configurations.

3. 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.

4. Develop automated tests for numerical accuracy, physical consistency, convergence, and output structure, defining appropriate numerical tolerances, units, boundary conditions, and expected scientific behavior.

5. 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

1. Ph.D., postdoctoral experience, or equivalent advanced technical experience in a relevant physical-science discipline.

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

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

4. Experience with numerical methods, scientific modeling, simulations, or quantitative data analysis.

5. Ability to create and validate computational scientific workflows independently.

Skills: PhD Physics, PhD Chemistry