Role Overview:
nTuring is building one of the most rigorous STEM AI training datasets in the industry. The SciCode project involves creating high-quality scientific coding tasks that are used to train and evaluate frontier AI models. 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.
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nResponsibilities:
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- 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
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- 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 evaluation criteria across multiple LLM judges (GPT, Gemini, Nemotron)
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- Maintain high output quality with a low rework rate, targeting consistent L1 approval on first submission
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- Participate in sync calls for reviews, feedback sessions, and project standups during overlap hour.
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nRequired Qualifications:
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- Master's or PhD in Mathematics.
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- Solid Python programming skills with experience in scientific computing
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- Ability to write rigorous, well-posed scientific problems with clear constraints and expected outputs
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- Attention to detail - tasks must meet strict rubrics for well-posedness, test case discriminativeness, scientific correctness, and determinism
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- Prior experience in AI data annotation, research, or scientific writing
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- Familiarity with LLM evaluation frameworks or coding benchmarks
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- Experience with libraries such as NumPy, SciPy, SymPy, or domain-specific scientific tools .
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- Published research or academic project experience in a STEM domain Quality Standard
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nOffer Details:
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- Commitments Required : Overlap of 4 hours with PST and 40 hrs/week
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- Engagement type : Contractor assignment/freelancer (no medical/paid leave)
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📌 Scientific Coding Expert - Mathematics and Python (Noida)
🏢 Turing
📍 Noida