Physics Research Auditor
Contractor · Remote · 10 openings
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
- Conduct detailed technical reviews of advanced physics content, evaluating the accuracy and rigor of solutions across specialized subfields.
- Identify flaws, inconsistencies, and unsupported assumptions in research outputs and theoretical problem-solving approaches.
- Offer comprehensive feedback to clarify reasoning, highlight errors, and articulate corrective actions.
- Assess multiple solution methodologies with a broad yet deep theoretical perspective.
- Document findings clearly, communicating both 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, leveraging your peer review experience to ensure scientific integrity.
Required Skills & Qualifications
- 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).
Preferred Qualifications
- 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.
$80–$110/hr
Remote