Job Title

We are looking for PhD-level researchers in Mathematics, Physics, Biology, or Chemistry to join a high-impact project. This is a unique opportunity to use your scientific expertise to train and evaluate the world’s most advanced Large Language Models (LLMs).This is not a generic data annotation role. It is a rigorous, hands-on scientific coding engagement where you will design graduate-level problems and write the Python code to solve them.Project ScopeRole: Scientific Coding Expert (LLM Training)Duration: 12 Weeks (Full-time, 40hrs/week)Location: 100% Remote (Must overlap 4 hours with PST)Start Date: ImmediateCompensation: $15 USD/hourWhat You Will DoDesign Problems: Create research-grade scientific problems in your domain (Maths, Physics, Bio, or Chem).Code Solutions: Write correct, high-signal Python solutions to solve these problems.Stress-Test AI: Evaluate model reasoning and code generation to improve next-gen AI systems.Iterate: Participate in a two-tier review process to ensure high-quality, correct output.Who You AreAcademic Background: You hold a PhD (or are a current PhD Candidate) in Mathematics, Physics, Computational Biology, or Computational Chemistry.Published Researcher: You have at least 1 peer-reviewed publication.Coder: You have strong proficiency in Python for scientific computing (demonstrated via GitHub, publications, or coursework).Available: You can commit to 40 hours/week for the next 12 weeks.Why Join?Real AI Impact: Your work directly feeds into LLM training.Speed: No complex interview rounds. Resume review + Interest Form = Offer.Flexibility: Fully remote workHow to Apply Please submit your CV highlighting your PhD research and Python experience.