STEM Expert (MSc./PhD)

AuraOne, Inc.

United States

Remote

USD 34,000 - 83,000

Part time

14 days+

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Benefits offered by this job

Remote contractor
US-eligible
Contractor employment

Job summary

Qualifications

  • Graduate-level training or equivalent in STEM research.
  • Hands-on experience publishing, teaching, or advising professionally.
  • Ability to apply multi-page 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.
  • 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.

Skills

Scientific reasoning
Method validation
Citation review
Quantitative analysis
STEM research

Education

MSc./PhD in STEM

Job description

STEM Expert (MSc./PhD) is a remote review track for evaluating AI outputs across stem research 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 matters

STEM research 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 stem research methods, conventions, and prior work for STEM Expert (MSc./PhD) 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 stem research or a closely related field for STEM Expert (MSc./PhD) 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
  • Reproduce an stem research 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.
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
  • STEM research
Work model

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

Compensation

Hourly rate confirmed after the interview process.

Graduate-level training or equivalent applied experience in stem research or a closely related field for STEM Expert (MSc./PhD) 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.

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