Scientific Coding: Mathematics and Python

What you'll do

For mathematicians the challenge is turning a clean idea into a problem a model can attempt and a test can judge. You write a main problem with at least three sub-problems that lead into it, implement a verified Python golden solution with complete unit tests, and design cases that discriminate between correct and wrong outputs.

Tasks go through Turing's Central Task Platform (Tier 1 structure, Tier 2 rubrics) and are revised until they meet Pass@K across GPT, Gemini and Nemotron judges. Sync calls during overlap hours cover reviews, feedback and standups.

Who qualifies

• Master's or PhD in Mathematics
• Strong Python and scientific computing
• Ability to pose well-defined problems with clear constraints and expected outputs
• Rigour on determinism, correctness and test discriminativeness
• Prior AI data annotation, research or scientific writing
• Familiarity with LLM evaluation frameworks or coding benchmarks; NumPy, SciPy, SymPy
• Published research or academic project work in a STEM domain

What it pays

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

Worth knowing

Good:

• SymPy and symbolic work sit naturally with a mathematics background
• Defined 8-week scope and explicit rubrics

Less good:

• 40 hours a week, 4 hours of Pacific-time overlap
• Contractor assignment, no medical or paid leave
• Open only to Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey and Vietnam
• Pure mathematics without coding practice will not be enough

About this listing

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