Cosmology Physicist - Fully Remote | Up to $110/hr

About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Gravitation, Cosmology and Astrophysics Physicist (PhD)Type:ContractCompensation:$80–$110/hourLocation:RemoteDuration:8 to 10 weeksCommitment:10 hours/week Role Responsibilities Evaluate AI model training and improve model outputs in research-level physics challenges. Develop complex physics problems and solutions in your subfield for AI model evaluation. Review completed work and provide structured feedback to enhance training data quality. Collaborate with AI research teams to ensure precision and rigor in model reasoning. Work independently and asynchronously to meet deadlines and improve AI model performance. Qualifications Must-Have PhD in gravitation, cosmology, astroparticle physics, or a closely related field. Published work on specific phenomena such as torsion, Nieh-Yan, or Chern-Simons terms. Verifiable publication record with arXiv IDs or DOIs. Proficiency in LaTeX, Python, SymPy, and Jupyter. English at B2 or above, including written reasoning. Preferred Familiarity with an agentic coding extension in VS Code. Application Process (Takes 20–30 mins to complete) Apply and complete the attached form with basic information and research experience. Provide arXiv ID or DOI of your own paper for each selected area. We verify your papers and authorship against the public record. Onboarding or a short live alignment call to agree on the area and assignment. A brief 30 to 45 minute assessment may be added if needed. Resources & Support For details about the interview process and platform information, please check: For any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. Originally posted on Himalayas