$96 - $152/hr
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.
New
Auraone
2 jobs near Columbus, OH
$96 - $152/hr
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.
New
$96 - $124/hr
AuraOne uses experienced finance-and-risk professionals to grade AI outputs the way an audit reviewer would -- with citations, severity tags, and the corrected calculation alongside the original.
New
$96 - $124/hr
AuraOne uses experienced finance-and-risk professionals to grade AI outputs the way an audit reviewer would -- with citations, severity tags, and the corrected calculation alongside the original.
New
$96 - $152/hr
Other
Posted 2 days ago
New
Job description
Materials Science Domain Expert — AI Evaluation (Remote, Bay Area) is a remote review track for evaluating AI outputs across materials science 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.
Why this role mattersMaterials science 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.
Responsibilities- Review AI outputs against current materials science methods, conventions, and prior work for Materials Science Domain Expert — AI Evaluation (Remote, Bay Area) 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.
- Graduate-level training or equivalent applied experience in materials science or a closely related field for Materials Science Domain Expert — AI Evaluation (Remote, Bay Area) 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.
- Reproduce a materials science 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.
- 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.
- Scientific reasoning
- Method validation
- Citation review
- Quantitative analysis
- Materials science
Remote — US-eligible. Remote Independent specialist contractor. Employment type: CONTRACTOR. Applicants must be authorized to work from US.
Compensation$70–$110 / hr
Graduate-level training or equivalent applied experience in materials science or a closely related field for Materials Science Domain Expert — AI Evaluation (Remote, Bay Area) 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.