Remote Environmental Science AI Peer Reviewer

AuraOne, Inc.; United States; Remote; USD 114,000 - 162,000; Part time

Job summary

AuraOne, Inc. is seeking an Environmental Science Professional to remotely review AI outputs across environmental science reasoning, calculations, and research workflows. You will grade derivations, reproduce key results, and document the correct method for training the modeling team.

You will adjudicate disputed answers, flag errors with structured severity tags, and maintain reviewer-quality scores in calibration cycles, working as an independent contractor with US eligibility.

Qualifications

• Graduate-level training or equivalent applied experience in environmental science or a closely related field.
• 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.

Responsibilities

• Review AI outputs against current environmental science methods, conventions, and prior work for Environmental Science Professional 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.

Skills

Scientific reasoning

Method validation

Citation review

Quantitative analysis

Environmental science

AI model evaluation

Education

Graduate-level training or equivalent applied experience in environmental science

Job description

AuraOne, Inc. is seeking an Environmental Science Professional to remotely review AI outputs across environmental science reasoning, calculations, and research workflows. You will grade derivations, reproduce key results, and document the correct method for training the modeling team.

You will adjudicate disputed answers, flag errors with structured severity tags, and maintain reviewer-quality scores in calibration cycles, working as an independent contractor with US eligibility.