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Scientific Coder – Material Science at Turing

posted 51 minutes ago
turing.com Contractor Remote (select) TBD 25 views

Scientific Coder – Material Science & Python | Contractor | 8-Week Engagement | Remote (Select Countries)

Turing is seeking a skilled Material Science expert with strong Python abilities to join the SciCode project — one of the most rigorous STEM AI training dataset initiatives in the industry. In this role, you will author, implement, and review complex scientific coding tasks used to train and evaluate frontier AI models.

Responsibilities

  • Write structured scientific problem specifications consisting of one main problem and a minimum of 3 logically connected sub-problems that progressively build toward the main 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.

Required Qualifications

  • Master's or PhD in Material Science or a closely related field.
  • Strong Python programming skills with hands-on experience in scientific computing.
  • Ability to write rigorous, well-posed scientific problems with clear constraints and expected outputs.
  • High 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 is a plus.

Engagement Details

  • Commitment: 40 hours/week with a minimum 4-hour overlap with PST.
  • Engagement Type: Contractor/Freelancer (no medical or paid leave benefits).
  • Duration: 8 weeks.
  • Eligible Locations: Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Indonesia, Kenya, Nigeria, Pakistan, Turkey, Vietnam.

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