⚛️ Scientific Coding – Physics & Python | Remote

⚛️ Scientific Coding – Physics & Python | Remote 🚀 Turing is looking for Physics experts with strong Python and scientific computing skills to join the SciCode project and contribute to the training and evaluation of advanced AI models. As a SciCode Trainer, you will create rigorous physics and scientific coding problems, develop verified Python solutions, design evaluation tests, and review AI-generated outputs. 💼 Job Details 💼 Role: SciCode Trainer – Physics & Python 🌍 Work Type: Remote 📚 Field: Physics / Scientific Computing ⏰ Commitment: 40 hours/week 🕐 Time Overlap: 4 hours with PST 📅 Contract Duration: 8 weeks 💻 Engagement: Contractor / Freelancer 🏠 Work Location: Remote 🌎 Eligible Countries: Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam 🧠 About the SciCode Project Turing's SciCode project focuses on creating high-quality scientific coding tasks used to train and evaluate frontier AI models. As a SciCode Trainer, you will contribute to AI research by authoring, implementing, and reviewing complex scientific problems in Physics and related STEM areas. 📋 Responsibilities As a SciCode Trainer, you will: Write scientific problem specifications with one main problem and at least 3 connected sub-problems Ensure the sub-problems logically build toward the main solution Implement verified golden solutions in Python Create complete unit test coverage Design discriminative test cases that distinguish correct from incorrect AI outputs Run QC validation 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 a low rework rate Target 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 Physics Strong Python programming skills Experience with scientific computing Ability to write rigorous and well-posed scientific problems Ability to define clear constraints and expected outputs Excellent attention to detail Understanding of: Scientific correctness Problem well-posedness Test case discriminativeness Deterministic results Previous 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 Other domain-specific scientific tools Published research or academic project experience in a STEM domain 🧪 Quality Standards Tasks should meet strict standards for: ✅ Scientific accuracy ✅ Clear problem statements ✅ Logical problem structure ✅ Deterministic results ✅ Effective test cases ✅ Reliable Python solutions ✅ 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 opportunity may be suitable for: Physics graduates Physics researchers Master's or PhD holders in Physics Scientific programmers Computational Physics experts Researchers with strong Python skills STEM researchers interested in AI evaluation Experts experienced in scientific coding and problem development 💻 Key Skills Physics | Python | Scientific Computing | NumPy | SciPy | SymPy | AI Training | LLM Evaluation | Scientific Research | Coding Benchmarks | Data Annotation Apply Now