Remote Astrophysics AI Reviewer (PhD) - Derivations & Validation

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

Job summary

AuraOne, Inc. is seeking a Gravitation, Cosmology and Astrophysics Physicist (PhD) for a remote contractor role in the United States.

The reviewer evaluates AI-generated physics reasoning, reproduces key steps, and documents the correct method to train the modeling team. Responsibilities include grading derivations, identifying algebraic or dimensional errors, and adjudicating disputed results using textbooks and papers.

Qualifications

• Graduate-level training or equivalent applied experience in physics or a closely related field for Gravitation, Cosmology and Astrophysics Physicist (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 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. is seeking a Gravitation, Cosmology and Astrophysics Physicist (PhD) for a remote contractor role in the United States.

The reviewer evaluates AI-generated physics reasoning, reproduces key steps, and documents the correct method to train the modeling team. Responsibilities include grading derivations, identifying algebraic or dimensional errors, and adjudicating disputed results using textbooks and papers.