Remote Conservation AI Data Reviewer & Method Auditor

AI Trainer Jobs; United States; Remote; USD 55,000 - 83,000; Full time

Job summary

AI Trainer Jobs seeks a Conservation Science AI Training Data Specialist to remotely review AI outputs in environmental science, grade derivations, reproduce results, and document methods for training data curation.

The role emphasizes rigorous reasoning, citation checks, and consistent rubric application, with async availability of at least 10 hours weekly. It is a contractor track with compensation determined post-interview.

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.
• Clear written reasoning that cites methods, papers, or worked examples.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Reproduce or sanity-check key derivations, calculations, or experimental claims.
• Review AI outputs against current environmental science methods, conventions, and prior work.
• 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.

Education

PhD, postdoc, or industry research experience

Job description

AI Trainer Jobs seeks a Conservation Science AI Training Data Specialist to remotely review AI outputs in environmental science, grade derivations, reproduce results, and document methods for training data curation.

The role emphasizes rigorous reasoning, citation checks, and consistent rubric application, with async availability of at least 10 hours weekly. It is a contractor track with compensation determined post-interview.