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Scientific Coding - Biology and Python

The SciCode project involves creating high-quality scientific coding tasks that are used to train and evaluate frontier AI models.

12 eligible countries

Hiring companyTuring

Application processN/ANo approved reviews yet

Work experienceN/ANo approved reviews yet

About the role

Turing is building one of the most rigorous STEM AI training datasets in the industry in partnership with NVIDIA. As a SciCode Trainer, you will be directly contributing to cutting-edge AI research by authoring, implementing, and reviewing complex scientific problems across core STEM disciplines.

Engagement type : Contractor assignment/freelancer (no medical/paid leave).

Responsibilities

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.

Required skills

Strong Python programming skills with experience in scientific computing.
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 Quality Standards.

Experience and education

Master's or PhD in Biology or similar fields.

Schedule details

Commitments Required : Overlap of 4 hours with PST and 40 hrs/week.

Duration of contract : 8 weeks.

Eligibility

Work arrangement: Fully remote

Applicant eligibility: 12 eligible countries

View all 12 eligible countries

Eligible countries: Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Türkiye, Vietnam

Location : Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam.

More about the hiring companyTuring

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Thriveth may earn a referral bonus if you use this link and meet Turing’s referral conditions. Using the referral link is optional and does not improve your selection chances or affect how we present the listing. Rewards vary by role. Turing determines whether a referral qualifies. Generally, the candidate must be new to Turing, the referral must be credited to the first referrer through Turing’s portal or public referral page, and the candidate must be hired, complete onboarding, and meet the required work milestone—normally at least 10 worked hours. Candidates already in Turing’s applicant system, already under consideration or otherwise known to Turing, current or former employees or contractors, and candidates who applied directly within the previous 90 days do not qualify under the reviewed terms. Referrers must obtain consent before submitting a candidate’s personal information. Rewards remain subject to Turing’s current terms, eligibility checks, and program changes; payment is not guaranteed. Thriveth is independent of Turing. Using it does not affect job order, ratings, reviews, or Thriveth picks.

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