Scientific Coding: Chemistry and Python

What you'll do

Chemistry gives these problems their content, Python gives them their checkability. You author a main problem with at least three sub-problems that build toward it, implement a golden Python solution with full unit test coverage, and write test cases that tell correct model answers from incorrect ones.

Tasks pass through Turing's Central Task Platform for structure checks and quality rubrics, and you revise until they reach Pass@K targets across GPT, Gemini and Nemotron judges, ideally approved the first time. Sync calls for reviews, feedback and standups happen in overlap hours.

Who qualifies

• Master's or PhD in Chemistry or similar fields
• Strong Python and scientific computing
• Ability to write rigorous, well-posed problems with clear constraints
• Attention to detail on determinism, scientific correctness and test discriminativeness
• Prior AI data annotation, research or scientific writing
• Familiarity with LLM evaluation frameworks or coding benchmarks; NumPy, SciPy, SymPy or domain tools
• Published research or academic projects in a STEM domain

What it pays

The ad does not publish a rate. Turing sets rates per project, see Turing.

Worth knowing

Good:

• Chemistry degree plus computational skill is a clear fit
• Defined 8-week scope with an explicit quality bar

Less good:

• 40 hours a week and 4 hours of Pacific-time overlap
• Contractor assignment, no medical or paid leave
• Limited to Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey and Vietnam
• Deterministic, well-posed problems are harder to write than they sound

About this listing

Posted on Turing's job board and read on 18 October 2026. Terms are Turing's; commentary is ours. See Turing.