Remote Research Scientist: Physics & CS Derivation Review

AuraOne, Inc.; United States; On-site; USD 55,000 - 110,000; Part time

Benefits offered by this job

Remote work

Contractor employment

US-eligible

Job summary

AuraOne, Inc. is seeking a Research Scientist in Computer Science & Computational Physics for a remote, contractor track. The role evaluates AI outputs, reproduces key steps, and documents the correct method so the modeling team can train on it.

Responsibilities include reviewing model outputs, reproducing derivations, flagging errors, and providing corrected reasoning. Qualified candidates have graduate-level physics training and experience publishing or teaching at a professional level.

Qualifications

• Graduate-level training or equivalent applied experience in physics or a closely related field.
• Hands-on experience publishing, teaching, or advising on the topic at a professional level.
• Clear written reasoning that cites methods, papers, or worked examples.

Responsibilities

• Review AI outputs against current physics methods, conventions, and prior work for Research Scientist - Computer Science & Computational Physics 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 training or equivalent applied experience in physics

Job description

AuraOne, Inc. is seeking a Research Scientist in Computer Science & Computational Physics for a remote, contractor track. The role evaluates AI outputs, reproduces key steps, and documents the correct method so the modeling team can train on it.

Responsibilities include reviewing model outputs, reproducing derivations, flagging errors, and providing corrected reasoning. Qualified candidates have graduate-level physics training and experience publishing or teaching at a professional level.