leading university research program us parents children ages aoj

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.

Why this role matters

Scientific and technical AI outputs need reviewers who can catch flawed assumptions, weak reasoning, and incorrect terminology before those errors become training signal.

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.

Qualifications

• 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.

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.

Nice to have

• 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.

Skills

• Scientific reasoning
• Method validation
• Citation review
• Quantitative analysis
• Leading University Research Program US Parents Children Ages 9 13 research review

Work model

Remote — US-eligible. Remote | Flexible contract review work. Employment type: CONTRACTOR. Applicants must be authorized to work from US.

Compensation

$120 / hr

Application process

Apply through AuraOne's specialist intake for role-specific routing and review. Final project scope, schedule, and contractor terms are confirmed before placement.

Experience

Prior domain experience and strong written judgment for structured AI evaluation work.

Education

Professional, academic, or portfolio experience relevant to the role. Equivalent applied experience counts.

Contractor Remote — US-eligible $120 / hr