Physics Research Auditor for AI Model Training

As a Physics Research Auditor, you will leverage your expertise to enhance the training of next-generation AI systems. Your contributions will directly influence how these models learn, reason, and perform by providing high-quality, real-world input. This role offers a unique opportunity to apply your domain knowledge in physics without requiring prior experience in AI.

• Conduct detailed technical reviews of advanced physics content, ensuring the accuracy and rigor of solutions across specialized subfields.
• Identify flaws, inconsistencies, and unsupported assumptions in research outputs and theoretical problem-solving approaches.
• Provide comprehensive feedback to clarify reasoning, highlight errors, and suggest corrective actions.
• Assess multiple solution methodologies with a broad yet deep theoretical perspective.
• Document findings clearly, communicating effectively in writing and verbally within the customer’s team environment.
• Contribute to the refinement of AI learning models by providing authoritative domain-specific judgments.
• Collaborate with a multidisciplinary group of experts, utilizing your peer review experience to ensure scientific integrity.

• PhD in physics or at least a senior PhD student with active research expertise in the assigned subfield (e.g., High Energy, Biophysics, Condensed Matter, AMO, Gravitation, Quantum Information, Optical Properties).
• Postdoctoral or junior professor standing in the relevant subfield preferred for auditor-level tasks.
• Publication of 2, 5 peer-reviewed or arXiv/DOI-listed papers in the target area over the last five years.
• Demonstrated proficiency in LaTeX, SymPy, Python, and Jupyter (please flag any skills gaps).
• Exceptional written and verbal communication skills to explain complex scientific concepts and decisions.
• Experience in technical review, error detection, and evaluating scientific rigor and methodology.
• Eligibility to work in the US, UK, or Canada (stellar candidates outside these regions considered in rare cases).

• Extensive hands-on experience with peer review or editorial work for scientific journals.
• Exposure to AI or data-driven research projects (not required but beneficial).
• Ability to sustain a commitment of approximately 10 hours per week over an 8, 10 week period.

This is a part-time contractor position, requiring approximately 10 hours per week.

Hourly pay ranges from $80 to $110.

Candidates must be eligible to work in the US, UK, or Canada, with exceptional candidates from other regions considered in rare cases.

This role is part of an AI training initiative, where your expertise will set the gold standard for research quality, data integrity, and theoretical depth, all while working remotely as part of our customer’s expert team.