We are looking for Scientific Coding - Physics and Python candidates for a project delivered through Turing.
What you'll do
- Write scientific problem specifications consisting of one main problem and a minimum of 3 sub-problems, all logically connected and progressively building toward the main problem solution
- Implement verified golden solutions in Python with complete unit test coverage
- Design discriminative test cases that clearly differentiate correct from incorrect model outputs
- Run QC validation checks on the Turing Central Task Platform (CTP) including Tier 1 structure checks and Tier 2 quality rubrics
- Iterate on tasks based on QC feedback to meet Pass@K evaluation criteria across multiple LLM judges (GPT, Gemini, Nemotron)
- Maintain high output quality with a low rework rate, targeting consistent L1 approval on first submission
- Participate in sync calls for reviews, feedback sessions, and project standups during overlap hours
What you need
- Ability to write rigorous, well-posed scientific problems with clear constraints and expected outputs
- Attention to detail - tasks must meet strict rubrics for well-posedness, test case discriminativeness, scientific correctness, and determinism
- Prior experience in AI data annotation, research, or scientific writing
- Familiarity with LLM evaluation frameworks or coding benchmarks
- Experience with libraries such as NumPy, SciPy, SymPy, or domain-specific scientific tools
- Published research or academic project experience in a STEM domain
Expertise
Who you work with
Project and contracting process: Turing. Applications continue on the provider's website.