Remote Mathematics AI Derivation Postdoc

AI Trainer Jobs; United States; Remote; USD 96,000 - 117,000; Full time

Job summary

AI Trainer Jobs is seeking a Mathematics Postdoc Researcher for a remote review track evaluating AI outputs across mathematics reasoning, calculations, and research workflows. Reviewers grade derivations, reproduce results, and document methods so the modeling team can train on them.

AuraOne leverages scientific specialists to assess outputs like peer reviewers, checking assumptions and capturing the correct method alongside the wrong one.

Qualifications

• Graduate-level training or equivalent in mathematics or related field.
• Experience publishing, teaching, or advising on the topic at a professional level.
• Ability to apply 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 mathematics methods, conventions, and prior work.
• 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

Mathematics

AI model evaluation

Education

PhD in mathematics or related field

Postdoc experience

Job description

AI Trainer Jobs is seeking a Mathematics Postdoc Researcher for a remote review track evaluating AI outputs across mathematics reasoning, calculations, and research workflows. Reviewers grade derivations, reproduce results, and document methods so the modeling team can train on them.

AuraOne leverages scientific specialists to assess outputs like peer reviewers, checking assumptions and capturing the correct method alongside the wrong one.