🧮 Scientific Coding – Mathematics & Python | Remote

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🧮 Scientific Coding – Mathematics & Python | Remote 🚀 Turing is looking for Mathematics experts with strong Python and scientific computing skills to join the SciCode project and help train and evaluate advanced AI models. As a SciCode Trainer, you will create rigorous mathematical coding problems, develop verified Python solutions, design test cases, and review AI-generated outputs. 💼 Job Details 💼 Role: SciCode Trainer – Mathematics & Python 🌍 Work Type: Remote 📚 Field: Mathematics / Scientific Computing ⏰ Commitment: 40 hours/week 🕐 Time Overlap: 4 hours with PST 📅 Contract Duration: 8 weeks 💻 Engagement: Contractor / Freelancer 🏠 Work Location: Remote 💰 Payment: As per Turing project terms 🌎 Eligible Countries: Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam 🧠 About the SciCode Project Turing's SciCode project focuses on building high-quality scientific coding datasets for training and evaluating frontier AI models. You will contribute to AI research by creating and reviewing complex mathematical and scientific coding problems. 📋 Responsibilities As a SciCode Trainer, you will: Write scientific problem specifications with one main problem and at least 3 connected sub-problems Ensure problems progressively build toward the main solution Implement verified golden solutions in Python Create complete unit test coverage Design discriminative test cases that distinguish correct and incorrect AI outputs Run quality-control checks on the Turing Central Task Platform (CTP) Perform Tier 1 structure checks and Tier 2 quality reviews Improve tasks based on QC feedback Work toward Pass@K evaluation criteria across GPT, Gemini, and Nemotron Maintain high-quality output with low rework Aim for consistent L1 approval on first submission Participate in project sync calls, reviews, feedback sessions, and standups during overlap hours 🎓 Required Qualifications Candidates should have: Master's or PhD in Mathematics Strong Python programming skills Experience with scientific computing Ability to create rigorous and well-defined scientific problems Strong understanding of constraints and expected outputs Excellent attention to detail Ability to meet strict standards for: Scientific correctness Well-posed problems Deterministic results Discriminative test cases Previous experience in AI data annotation, research, or scientific writing Familiarity with LLM evaluation frameworks or coding benchmarks Experience with scientific Python libraries such as: NumPy SciPy SymPy Other domain-specific scientific tools Published research or academic project experience in a STEM field 🧪 Quality Standards Tasks must meet strict requirements for: ✅ Scientific accuracy ✅ Clear problem statements ✅ Logical problem structure ✅ Deterministic expected results ✅ Effective test cases ✅ Reliable Python solutions ✅ Strong AI evaluation quality ✅ Low rework ⏰ Work Commitment 40 hours per week 4-hour overlap with PST 8-week contract Contractor / Freelancer assignment No medical or paid leave 🌍 Eligible Countries This opportunity is open to candidates located in: 🇧🇩 Bangladesh 🇧🇷 Brazil 🇨🇴 Colombia 🇪🇬 Egypt 🇬🇭 Ghana 🇮🇳 India 🇵🇰 Pakistan 🇮🇩 Indonesia 🇰🇪 Kenya 🇳🇬 Nigeria 🇹🇷 Turkey 🇻🇳 Vietnam 🚀 Who Should Apply? This role may be suitable for: Mathematics graduates Mathematics researchers PhD / Master's students and graduates Scientific programmers Mathematical computing experts Researchers with strong Python skills STEM researchers interested in AI evaluation Experts experienced in scientific coding and problem development 💻 Key Skills Mathematics | Python | Scientific Computing | NumPy | SciPy | SymPy | AI Training | LLM Evaluation | Scientific Research | Coding Benchmarks | Data Annotation Apply Now