Remote Astrophysics AI Review Scientist (PhD)

AuraOne, Inc.; United States; Remote; USD 110,000 - 152,000; Part time

Job summary

AuraOne, Inc. seeks a Gravitation, Cosmology and Astrophysics Physicist (PhD) for a remote contractor track. You will evaluate AI outputs, reproduce key derivations, and document the correct method to aid training of the modeling team.

Ideal candidates hold graduate-level physics training, publish or teach experience, and can apply rubrics across large batches with clear, cited reasoning. Requires at least 10 hours per week of async availability.

Qualifications

• Graduate-level training or equivalent in physics or a closely related field.
• 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 Gravitation, Cosmology and Astrophysics Physicist (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

Graduate-level physics training

Job description

AuraOne, Inc. seeks a Gravitation, Cosmology and Astrophysics Physicist (PhD) for a remote contractor track. You will evaluate AI outputs, reproduce key derivations, and document the correct method to aid training of the modeling team.

Ideal candidates hold graduate-level physics training, publish or teach experience, and can apply rubrics across large batches with clear, cited reasoning. Requires at least 10 hours per week of async availability.