Remote Analytical Chemist & AI Derivation Auditor

AuraOne; United States; On-site; USD 90,000 - 103,000; Full time

Benefits offered by this job

PhD/Industry research

Multilingual fluency

AI tooling review

Job summary

AuraOne is seeking an Analytical Chemist for a remote review track evaluating AI outputs in chemistry reasoning, calculations, and research workflows. Reviewers grade derivations and reproduce key results to document the correct method for training the modelling team.

Responsibilities include reproducing derivations, flagging errors, and ensuring citations align with textbooks and papers, while maintaining high reviewer quality scores through calibration cycles.

Qualifications

• Graduate-level training or equivalent applied experience in chemistry or a closely related field for Analytical Chemist 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 chemistry methods, conventions, and prior work for Analytical Chemist 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

Education

Graduate-level chemistry training

PhD or related research experience

Job description

AuraOne is seeking an Analytical Chemist for a remote review track evaluating AI outputs in chemistry reasoning, calculations, and research workflows. Reviewers grade derivations and reproduce key results to document the correct method for training the modelling team.

Responsibilities include reproducing derivations, flagging errors, and ensuring citations align with textbooks and papers, while maintaining high reviewer quality scores through calibration cycles.