Remote Agricultural AI Reviewer & Method Auditor

AI Trainer Jobs; United States; Remote; USD 76,000 - 143,000; Full time

Job summary

AI Trainer Jobs seeks an Agricultural Technician for a remote review track evaluating AI outputs in agricultural science reasoning, calculations, and research workflows. Reviewers grade derivations, reproduce key results, and document correct methods so the modeling team can train on them.

Agricultural science models rely on rigorous derivations; candidates bring graduate-level training and demonstrated experience in reviewing AI-assisted research, with clear written reasoning and multi-page

Qualifications

• Graduate-level training or equivalent applied experience in agricultural science or a closely related field for Agricultural Technician work.
• Hands-on experience publishing, teaching, or advising on the topic at a professional level.
• Clear written reasoning that cites methods, papers, or worked examples.

Responsibilities

• Review AI outputs against current agricultural science methods, conventions, and prior work for Agricultural Technician 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

Agricultural science

Crop monitoring

Data collection

Equipment operation

Field sampling

Irrigation monitoring

Lab techniques

Pest identification

Education

Graduate-level training in agricultural science or related field

Job description

AI Trainer Jobs seeks an Agricultural Technician for a remote review track evaluating AI outputs in agricultural science reasoning, calculations, and research workflows. Reviewers grade derivations, reproduce key results, and document correct methods so the modeling team can train on them.

Agricultural science models rely on rigorous derivations; candidates bring graduate-level training and demonstrated experience in reviewing AI-assisted research, with clear written reasoning and multi-page