Cosmology & Gravitation Physicist for AI Research (Remote)

Mercor; Greater London; Remote; GBP 83,000 - 115,000; Part time

Job summary

Mercor connects elite creative and technical talent with leading AI research labs, with a San Francisco base and investors named in the job page. The Gravitation, Cosmology and Astrophysics Physicist (PhD) contract role is remote for 8–10 weeks, requiring about 10 hours per week and compensation of $80–$110 per hour.

The role focuses on evaluating AI model training, developing physics problems for evaluation, and collaborating with AI research teams to ensure rigorous model reasoning.

Qualifications

• PhD in gravitation, cosmology, astroparticle physics, or closely related field.
• Published work on 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.

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.

Skills

LaTeX

Python

SymPy

Jupyter

English B2+

Education

PhD in gravitation, cosmology, astroparticle physics, or closely related field

Tools

VS Code

Job description

Mercor connects elite creative and technical talent with leading AI research labs, with a San Francisco base and investors named in the job page. The Gravitation, Cosmology and Astrophysics Physicist (PhD) contract role is remote for 8–10 weeks, requiring about 10 hours per week and compensation of $80–$110 per hour.

The role focuses on evaluating AI model training, developing physics problems for evaluation, and collaborating with AI research teams to ensure rigorous model reasoning.