Senior Physics Adjudicator

About the role

Job Title: Senior Physics Adjudicator Job Type: Contractor/ Part-Time (10 hrs. a week) Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Serve as the recognized adjudicator for advanced physics problems within your subfield, delivering authoritative scientific judgments. • Evaluate and resolve conflicting methodologies, results, or interpretations submitted for AI training purposes. • Review and refine scientific content for clarity, accuracy, and consistency, ensuring alignment with best research practices. • Provide detailed written and verbal feedback to improve AI model understanding and outputs. • Draw on a cross-disciplinary perspective to inform adjudication and highlight nuances or alternate approaches. • Collaborate with a global team of experts, sharing insights to advance the quality of training datasets. • Maintain high standards of scientific rigor in all assessments, reflecting leadership and mentorship experience in research environments. Required Skills and Qualifications: • PhD in physics or senior PhD student (minimum), with ongoing research and publications in the relevant subfield. • 2–5 recent (past 5 years) representative publications available via arXiv/DOI. • Demonstrated expertise as a professor, industry research PI, or equivalent subject matter authority. • High-level scientific judgment for evaluating edge cases and resolving disagreements. • Broad cross-disciplinary awareness and understanding of alternative research standards. • Strong leadership background in mentoring, reviewing, or directing research projects/labs. • Proficiency in LaTeX, SymPy, Python, and Jupyter (please flag any gaps). Preferred Qualifications: • Experience adjudicating research disputes or peer-reviewing high-impact publications. • Involvement in AI, machine learning, or computational modeling projects is a plus. • Availability for a sustained commitment of approximately 10 hours per week over an 8–10 week period. Additional Info: Subfields of particular interest for this pilot include High Energy Physics/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter (including moiré systems, magnetic materials, PXP/Rydberg), AMO/Quantum Optics, Gravitation/Cosmology/Astrophysics, Quantum Information, and Optical Properties of Materials. Applicants should be based in the US, UK, or CA, though truly exceptional candidates from outside these locations may be considered. This is a unique opportunity to leverage your expertise within a pioneering AI training initiative as part of the customer's team.