Remote Physics Derivation Reviewer (Contractor)

AuraOne; United States; On-site; USD 80,000 - 113,000; Part time

Job summary

AuraOne seeks Physics PhD Coding Experts to remotely review AI outputs in physics reasoning. You will reproduce key derivations, check calculations, and document the correct method to train the modeling team.

This contractor role requires graduate-level physics experience, strong written reasoning, and the ability to work asynchronously for at least 10 hours per week. You'll adjudicate disputed answers against textbooks or papers and maintain consistency across batches, with US-eligible remote

Qualifications

• Graduate-level training or equivalent in physics or related field.
• Experience publishing, teaching, or advising at a professional level.
• 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 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 for training data.
• 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

Graduate-level physics training or equivalent

Job description

AuraOne seeks Physics PhD Coding Experts to remotely review AI outputs in physics reasoning. You will reproduce key derivations, check calculations, and document the correct method to train the modeling team.

This contractor role requires graduate-level physics experience, strong written reasoning, and the ability to work asynchronously for at least 10 hours per week. You'll adjudicate disputed answers against textbooks or papers and maintain consistency across batches, with US-eligible remote