Remote Physics AI Derivation Reviewer

AuraOne, Inc.; United States; Remote; USD 83,000 - 110,000; Full time

Job summary

AuraOne, Inc. is seeking a Physics PhD Coding Expert to review AI outputs in physics reasoning and experiments. You will reproduce derivations, check calculations, and document the correct methods to train the modeling team.

This role emphasizes rigorous citations and adherence to professional standards, with remote, US-eligible work. The position requires graduate-level physics training, published or editorial experience, and the ability to apply standardized rubrics across large batches.

Qualifications

• Graduate-level training in physics or closely related field.
• Hands-on 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.
• 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

Postdoc experience

Job description

AuraOne, Inc. is seeking a Physics PhD Coding Expert to review AI outputs in physics reasoning and experiments. You will reproduce derivations, check calculations, and document the correct methods to train the modeling team.

This role emphasizes rigorous citations and adherence to professional standards, with remote, US-eligible work. The position requires graduate-level physics training, published or editorial experience, and the ability to apply standardized rubrics across large batches.