Forensic / Toxicological Chemist

AuraOne

United States

On-site

USD 90,000 - 103,000

Part time

9 days ago
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Job summary

AI Trainer Jobs is seeking a Forensic / Toxicological Chemist to remotely review AI outputs across chemistry reasoning and research workflows. You will reproduce key derivations, check calculations, and document the correct method so the modeling team can train on it.

This contractor role requires graduate-level chemistry expertise, professional publication or teaching experience, and reliable async availability of at least 10 hours per week.

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.

Skills

Scientific reasoning
Method validation
Citation review
Quantitative analysis
Chemistry

Education

PhD, postdoc, or industry research experience in the topic area

Job description

About the role

Forensic / Toxicological Chemist 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 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.
What you should bring
  • 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.
Role signals
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

$65–$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
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