Remote Physics Expert (PhD) - AI Output Reviewer

AuraOne; United States; On-site; USD 82,656 - 151,536; Full time

Job summary

AuraOne seeks a Physics Expert (PhD) for a remote reviewer track to evaluate AI outputs in physics reasoning, derivations, and research workflows. You will reproduce key results, assess methods, and document the correct approach so the modeling team can train on it.

This contract role requires graduate-level physics experience, published or teaching credentials, and reliable async availability of at least 10 hours per week.

Qualifications

• Graduate-level training or equivalent applied experience in physics or a closely related field for Physics Expert (PhD) work.
• Hands-on experience publishing, teaching, or advising on the topic at a professional level.
• Comfort applying multi-page rubrics consistently across long batches.
• Clear written reasoning that cites methods, papers, or worked examples.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Review AI outputs against current physics methods, conventions, and prior work for Physics Expert (PhD) assignments.
• Reproduce or sanity-check key derivations, calculations, or experimental claims.
• Flag dimensional, methodological, and citation errors with structured severity tags.
• Capture the corrected reasoning or worked example so the modeling team can train on it.
• Adjudicate disputed answers against textbooks, papers, or community standards.
• Maintain reviewer-quality scores in inter-rater calibration cycles.

Skills

Scientific reasoning

Method validation

Citation review

Quantitative analysis

Physics

Education

PhD in Physics

Job description

AuraOne seeks a Physics Expert (PhD) for a remote reviewer track to evaluate AI outputs in physics reasoning, derivations, and research workflows. You will reproduce key results, assess methods, and document the correct approach so the modeling team can train on it.

This contract role requires graduate-level physics experience, published or teaching credentials, and reliable async availability of at least 10 hours per week.