Remote Applied Scientist - AI Derivation Auditor

AuraOne; United States; Remote; USD 136,000 - 194,000; Part time

Job summary

AuraOne is seeking an Applied Scientist for a remote review track to evaluate AI outputs across research science reasoning, calculations, and workflows.

You will reproduce key results, assess derivations, and document the correct method so the modeling team can train on it. This contractor role requires clear written reasoning and the ability to work asynchronously for at least 10 hours per week.

Qualifications

• Graduate-level training or equivalent applied experience in research science.
• 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 research science methods, conventions, and prior work for Applied Scientist 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

Research science

Education

PhD, postdoc, or industry research experience

Job description

AuraOne is seeking an Applied Scientist for a remote review track to evaluate AI outputs across research science reasoning, calculations, and workflows.

You will reproduce key results, assess derivations, and document the correct method so the modeling team can train on it. This contractor role requires clear written reasoning and the ability to work asynchronously for at least 10 hours per week.