Job Title: Physics Research Auditor

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:

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 and 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.

Additional Info: This is an AI training initiative where your expertise directly influences the development of intelligent systems used in scientific research. You will play a pivotal role in setting the gold standard for research quality, data integrity, and theoretical depth, working remotely as part of our customer’s expert team.