About this role
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.
Skills
Recognized Subject Matter AuthorityHigh-Level Scientific JudgmentCross-Disciplinary PerspectiveLeadership in Research Environments
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 & 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.
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