Remote Chemistry AI Reviewer & Derivation Auditor

AuraOne, Inc.; United States; Remote; USD 83,000 - 124,000; Full time

Job summary

AuraOne, Inc. is seeking a Chemistry AI Subject-Matter Expert to remotely evaluate AI outputs in chemistry reasoning, calculations, and research workflows.

You will reproduce key steps, assess derivations, and document the correct methods so the modeling team can train on both proper and flawed approaches. You will grade outputs, adjudicate disputes using textbooks or papers, and maintain inter-rater calibration scores.

Qualifications

• Graduate-level training or equivalent applied experience in chemistry 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 chemistry methods, conventions, and prior work for Chemistry AI Subject-Matter Expert 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

Chemistry

AI evaluation

Rubric writing

Expert review

Education

Graduate degree in Chemistry or related field

PhD, postdoc, or industry research experience

Job description

AuraOne, Inc. is seeking a Chemistry AI Subject-Matter Expert to remotely evaluate AI outputs in chemistry reasoning, calculations, and research workflows.

You will reproduce key steps, assess derivations, and document the correct methods so the modeling team can train on both proper and flawed approaches. You will grade outputs, adjudicate disputes using textbooks or papers, and maintain inter-rater calibration scores.