Salary: $80–$110/hr
Location: Remote — United Kingdom only
Type: Part-time
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.
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.
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).
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.
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.
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