Remote Forensic & Toxicology AI Review Chemist

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

Job summary

AuraOne is seeking a Forensic / Toxicological Chemist to remotely review AI-generated chemistry outputs, validate derivations, and document correct methods for training AI models. This contractor role focuses on reproducing results, citing sources, and flagging errors to ensure robustness of scientific conclusions.

Responsibilities include grading AI reasoning, reproducing key steps, and maintaining inter-rater calibration scores while providing clear written reasoning and analysis for batch

Qualifications

• Graduate-level training or equivalent applied experience in chemistry or a closely related field for Forensic / Toxicological 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 Forensic / Toxicological 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 training or equivalent in chemistry

Job description

AuraOne is seeking a Forensic / Toxicological Chemist to remotely review AI-generated chemistry outputs, validate derivations, and document correct methods for training AI models. This contractor role focuses on reproducing results, citing sources, and flagging errors to ensure robustness of scientific conclusions.

Responsibilities include grading AI reasoning, reproducing key steps, and maintaining inter-rater calibration scores while providing clear written reasoning and analysis for batch