Remote specialist role reviewing science, research, and technical reasoning outputs for AI research and evaluation. Scientific and technical AI outputs need reviewers who can catch flawed assumptions, weak reasoning, and incorrect terminology before those errors become training signal.
Scientific and technical AI outputs need reviewers who can catch flawed assumptions, weak reasoning, and incorrect terminology before those errors become training signal.
Bring scientific and technical domain expertise into AI reasoning, research, and dataset review.
Responsibilities
Review AI outputs against current leading university research program us parents children ages 9 13 research review methods, conventions, and prior work for Leading University Research Program — US Parents & Children Ages 9–13 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.
What you should bring
Graduate-level training or equivalent applied experience in leading university research program us parents children ages 9 13 research review or a closely related field for Leading University Research Program — US Parents & Children Ages 9–13 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
Evaluate AI-generated explanations, solutions, labels, or datasets against subject-matter rubrics.
Check reasoning steps, terminology, calculations, and evidence quality for domain accuracy.
Identify ambiguous or high-value examples that should improve future evaluation coverage.
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
$120 / 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
Leading University Research Program US Parents Children Ages 9 13 research review
Application process
Submitting this form sends your application directly to the recruiting team for this specialist cohort.
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