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Scientific Coding Trainer (STEM/Python) at Turing

posted 58 minutes ago
turing.com Contractor Remote (select) TBD 31 views

Scientific Coding Trainer (STEM & Python) | Contractor | Remote (Select Countries)

Join Turing and NVIDIA in building one of the most rigorous STEM AI training datasets in the industry. As a SciCode Trainer, you'll author, implement, and review complex scientific coding problems that directly train and evaluate frontier AI models. This is an 8-week contractor engagement requiring 40 hours per week with a 4-hour PST overlap.

Key Responsibilities

  • Write 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 a STEM discipline.
  • 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, academic research, or scientific writing.
  • Familiarity with LLM evaluation frameworks or coding benchmarks.
  • Proficiency with scientific libraries such as NumPy, SciPy, SymPy, or domain-specific tools.
  • Published research or academic project experience in a STEM domain is a strong plus.

Engagement Details

  • Commitment: 40 hours/week with 4-hour PST overlap
  • 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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