Chemistry Expert

AI Trainer Jobs; United States; Remote; USD 94,000 - 114,000; Part time

Job summary

AI Trainer Jobs is seeking a Chemistry Expert for a remote reviewer role evaluating AI outputs in chemistry reasoning, calculations, and research workflows. Reviewers grade derivations, reproduce key steps, and document methods to train modeling teams.

Experts bring graduate chemistry credentials and experience with publishing or teaching, plus strong written reasoning, and the ability to work asynchronously for at least 10 hours per week.

Qualifications

• PhD, postdoc or industry research experience in chemistry or related field.
• Experience publishing, teaching, or advising on chemistry topics.
• Ability to apply rubrics consistently across large batches.
• Clear, cited written reasoning.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Review AI outputs against current chemistry methods, conventions, and prior work for Chemistry 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.

Skills

Graduate chemistry

Publishing experience

Written reasoning

Async availability

Multilingual fluency

Education

PhD or equivalent

Postdoc

Industry research experience

Job description

Chemistry Expert is a remote review track for evaluating AI outputs across chemistry reasoning, calculations, and research workflows. Reviewers grade derivations and assumptions, reproduce key results, and document the correct method so the modeling team can train on it.

Category: Scientific AI & Domain Experts · Pay: $75 / hr · Location: Remote — US-eligible · Contractor

Chemistry Expert is a remote review track for evaluating AI outputs across chemistry reasoning, calculations, and research workflows.

Role details

About the role

Chemistry Expert is a remote review track for evaluating AI outputs across chemistry reasoning, calculations, and research workflows. Reviewers grade derivations and assumptions, reproduce key results, and document the correct method so the modeling team can train on it.
Chemistry models live or die on whether their derivations actually hold up under scrutiny. AuraOne uses scientific specialists to grade outputs the way a peer reviewer would — checking assumptions, reproducing key steps, and capturing the right method alongside the wrong one.
Bring scientific and technical domain expertise into AI reasoning, research, and dataset review.

Responsibilities

• Review AI outputs against current chemistry methods, conventions, and prior work for Chemistry 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.

What you should bring

• Graduate-level training or equivalent applied experience in chemistry or a closely related field for Chemistry Expert 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.

Example tasks

• Reproduce a chemistry derivation from a model output and flag any algebraic or dimensional errors.
• Grade a model's literature summary against the cited papers and rate the citation quality.
• Adjudicate a disputed answer between two reviewers using textbook methods.
• Audit a 25-row batch for rubric consistency and report drift to the program lead.

Useful experience

• PhD, postdoc, or industry research experience in the topic area.
• Prior work reviewing AI‑assisted research tooling and its failure modes.
• Multilingual fluency for non‑English papers and corpora.

Compensation and schedule

$75 / hr
Expected arrangement: contractor , with program‑defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.

Skills used in matching

• Scientific reasoning
• Method validation
• Citation review
• Quantitative analysis
• Chemistry