Agriculture, Forestry & Environmental Experts

AuraOne, Inc.

United States

Remote

USD 34,000 - 55,000

Part time

14 days+

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Job summary

AuraOne, Inc. is seeking an independent reviewer to evaluate AI-generated environmental science outputs. This remote contractor role focuses on validating derivations, reproducing results, and documenting correct methods for training data.

Ideal candidates have graduate-level training in environmental science and experience publishing or teaching in the field. You will work asynchronously for at least 10 hours weekly, with hourly compensation determined after interview.

Qualifications

  • Graduate-level training or equivalent experience in environmental science.
  • Experience publishing, teaching, or advising on environmental science topics.
  • Ability to apply rubrics consistently across long batches.
  • Clear written reasoning citing methods or papers.
  • Reliable async availability for at least 10 hours per week.

Responsibilities

  • Review AI outputs against environmental science methods and prior work.
  • Reproduce or sanity-check key derivations and calculations.
  • Flag errors with structured severity tags.
  • Adjudicate disputed answers using textbooks or papers.

Skills

Scientific reasoning
Method validation
Citation review
Quantitative analysis
Environmental science

Education

Graduate-level training or equivalent in environmental science

Job description

Agriculture, Forestry & Environmental Experts is a remote review track for evaluating AI outputs across environmental science 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

Environmental science 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 environmental science methods, conventions, and prior work for Agriculture, Forestry & Environmental Experts 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 environmental science or a closely related field for Agriculture, Forestry & Environmental Experts 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 environmental science 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
  • Environmental science
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 environmental science or a closely related field for Agriculture, Forestry & Environmental Experts 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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