Physics Research Scientist (PhD)

About the Job\n Research Physics Expert\n Location: Remote\n Engagement Type: Hourly Contract\n Compensation: $80–$135/hour\n About the Opportunity\n This opportunity is for experienced Physics Researchers interested in contributing to advanced AI research and evaluation projects.

You will help develop and validate high-quality reference solutions for frontier-level physics benchmarks, ensuring that next-generation AI systems are evaluated against rigorous scientific standards.\n The work involves solving complex research-level physics problems, reviewing expert solutions, and contributing to the creation of human-verified benchmark data used to measure AI reasoning capabilities.\n Ideal Qualifications\n • PhD, Postdoctoral Researcher, Faculty Member, or Industry Research Scientist in Physics or a related field.\n • Expertise in one or more areas including High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter Physics, AMO Physics, Cosmology, Astrophysics, Quantum Information, or Quantum Mechanics.\n • Strong publication record demonstrating research expertise in a relevant subfield.\n • Experience solving complex research-level physics problems and developing rigorous scientific analyses.\n • Proficiency with Python, Jupyter Notebooks, SymPy, and LaTeX.\n • Excellent analytical reasoning, problem-solving, and scientific communication skills.\n • Strong attention to detail and commitment to scientific accuracy.\n Responsibilities\n • Solve research-level physics problems and develop complete reference solutions.\n • Create structured problem decompositions and verification methodologies.\n • Author Python-based answer templates and automated validation functions.\n • Review and audit submitted solutions for correctness, rigor, and methodological soundness.\n • Provide detailed feedback to improve solution quality and benchmark reliability.\n • Adjudicate between competing solution approaches and determine final reference answers.\n • Document derivations, verification procedures, error tolerances, and scientific rationale.\n • Contribute to the development of high-quality benchmark datasets for evaluating frontier AI systems.\n Project Details\n • Expected commitment of approximately 10 hours per week.\n • Fully remote and asynchronous work environment.\n • Opportunity to collaborate with leading AI researchers and domain experts.\n • Long-term project engagement with potential extensions based on project needs.\n Compensation\n • Competitive compensation of $80–$135/hour.\n • Weekly payments.\n • Independent contractor engagement.\n Application Process\n\n Submit your resume, publication record, or research background.\n Complete any required assessment or evaluation.\n Participate in the expert review process.\n Final selection and onboarding.\n\n