Applied Chemistry Benchmark Specialist

AI Trainer Jobs; United States; Remote; USD 84,000 - 106,000; Full time

Benefits offered by this job

Remote work

Competitive hourly rate

Job summary

AuraOne is seeking an Applied Chemistry Benchmark Specialist to remotely review AI outputs across chemistry reasoning, calculations, and research workflows. Reviewers grade derivations, reproduce key results, and document the correct method so the modeling team can train on it.

Chemistry models live or die on correctness; AuraOne relies on scientific experts to verify derivations, check assumptions, reproduce steps, and capture the right method alongside incorrect ones.

Qualifications

• Graduate-level training or equivalent experience in chemistry.
• Experience publishing, teaching, or advising at a professional level.
• Ability to apply rubrics consistently across long batches.

Responsibilities

• Review AI outputs against current chemistry methods, conventions, and prior work for 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 chemistry or closely related field

Job description

Applied Chemistry Benchmark Specialist 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: $61–$77 / hr · Location: Remote — US-eligible · Contractor

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

Role details

About the role

Applied Chemistry Benchmark Specialist 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 Applied Chemistry Benchmark Specialist 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.Track STEM research review Work model Remote · Independent specialist contractor Compensation $61–$77 / hr Eligible from US

What you should bring

• Graduate-level training or equivalent applied experience in chemistry or a closely related field for Applied Chemistry Benchmark Specialist 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

$61–$77 / 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