Remote STEM AI Research Specialist – Derivations

AI Trainer Jobs; United States; Remote; USD 141,000 - 190,000; Part time

Job summary

AI Trainer Jobs is seeking a STEM AI Agent Research Specialist to remotely evaluate AI outputs across stem reasoning, calculations, and research workflows. Reviewers verify derivations, reproduce results, and document the correct methods for training data.

Successful candidates bring PhD or equivalent research experience, strong scientific reasoning, and ability to cite methods. The role requires about 10 hours per week with async work and flexible pacing.

Qualifications

• Graduate-level training or equivalent applied experience in STEM research or 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 STEM research methods, conventions, and prior work for STEM AI Agent Research Specialist 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

STEM research

AI model evaluation

Education

PhD or equivalent research experience

Job description

AI Trainer Jobs is seeking a STEM AI Agent Research Specialist to remotely evaluate AI outputs across stem reasoning, calculations, and research workflows. Reviewers verify derivations, reproduce results, and document the correct methods for training data.

Successful candidates bring PhD or equivalent research experience, strong scientific reasoning, and ability to cite methods. The role requires about 10 hours per week with async work and flexible pacing.