IT Project Manager - Research Survey (ONET Occupation Study)

IT Project Manager - Research Survey (ONET Occupation Study) is a remote review track for evaluating AI outputs across it project manager research survey research review 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., IT Project Manager Research Survey research review 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., * Review AI outputs against current it project manager research survey research review methods, conventions, and prior work for IT Project Manager - Research Survey (ONET Occupation Study) 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., * Reproduce a it project manager research survey research review 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.

• Graduate-level training or equivalent applied experience in it project manager research survey research review or a closely related field for IT Project Manager - Research Survey (ONET Occupation Study) 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., * 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
• IT Project Manager Research Survey research review

Work model

Remote - US-eligible. Remote · Independent specialist contractor. Employment type: CONTRACTOR. Applicants must be authorized to work from US.

$57 / hr