Remote STEM AI Validation Reviewer

AI Trainer Jobs

United States

Remote

USD 62,000 - 76,000

Full time

2 days ago
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Job summary

AI Trainer Jobs is hiring remote reviewers for the Origin on Windows - STEM track to evaluate AI outputs across stem research reasoning, calculations, and workflows. Reviewers grade derivations, reproduce key results, and document the correct method so the modeling team can train on it.

AuraOne uses scientific specialists to grade outputs, capture the right method, and ensure reproducibility. This contract role emphasizes solid domain expertise, precise reasoning, and reliable weekly

Qualifications

  • Graduate-level training or equivalent in stem research or a closely related field.
  • Experience publishing, teaching, or advising at a professional level.
  • Comfort applying rubrics consistently across long batches.
  • Clear written reasoning citing methods, papers, or worked examples.
  • Reliable async availability for at least 10 hours per week.

Responsibilities

  • Review AI outputs against current stem research methods, conventions, and prior work for Application Users - Origin on Windows - STEM 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
STEM research
Multilingual fluency

Education

PhD, postdoc, or industry research experience

Job description

AI Trainer Jobs is hiring remote reviewers for the Origin on Windows - STEM track to evaluate AI outputs across stem research reasoning, calculations, and workflows. Reviewers grade derivations, reproduce key results, and document the correct method so the modeling team can train on it.

AuraOne uses scientific specialists to grade outputs, capture the right method, and ensure reproducibility. This contract role emphasizes solid domain expertise, precise reasoning, and reliable weekly

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