Chemistry AI Reviewer — Remote Derivations & Validation

AI Trainer Jobs; United States; Remote; USD 55,000 - 124,000; Part time

Job summary

AI Trainer Jobs is seeking a Chemistry AI Subject-Matter Expert for remote review of AI outputs in chemistry reasoning and research workflows. You will evaluate derivations, reproduce results, and document methods so the modeling team can train on correct and incorrect approaches.

The contractor role is hourly, with US eligibility and program-defined task pacing. Candidates bring PhD or equivalent research experience, strong writing, and the ability to work asynchronously at least 10 hours per

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.

Skills

Scientific reasoning

Method validation

Citation review

Quantitative analysis

Chemistry

Science and math

AI evaluation

Rubric writing

Expert review

Education

PhD or equivalent research experience in chemistry

Job description

AI Trainer Jobs is seeking a Chemistry AI Subject-Matter Expert for remote review of AI outputs in chemistry reasoning and research workflows. You will evaluate derivations, reproduce results, and document methods so the modeling team can train on correct and incorrect approaches.

The contractor role is hourly, with US eligibility and program-defined task pacing. Candidates bring PhD or equivalent research experience, strong writing, and the ability to work asynchronously at least 10 hours per