Remote Computational Mathematics Reviewer

AI Trainer Jobs; United States; Remote; USD 83,000 - 165,000; Full time

Job summary

AI Trainer Jobs seeks a Computational Mathematics Expert to remotely review AI outputs across mathematics reasoning, calculations, and research workflows. You will reproduce key results, check derivations, and document methods so the modeling team can train on correct and incorrect approaches.

Responsibilities include grading against established methods, flagging errors with structured notes, and capturing worked examples for ongoing model improvement. This is an independent contractor role.

Qualifications

• Graduate-level training or equivalent applied experience in mathematics or a closely related field for Computational Mathematics Expert work.
• 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 mathematics methods, conventions, and prior work for Computational Mathematics Expert 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

Mathematics

Education

PhD, postdoc or industry research experience in mathematics

Job description

AI Trainer Jobs seeks a Computational Mathematics Expert to remotely review AI outputs across mathematics reasoning, calculations, and research workflows. You will reproduce key results, check derivations, and document methods so the modeling team can train on correct and incorrect approaches.

Responsibilities include grading against established methods, flagging errors with structured notes, and capturing worked examples for ongoing model improvement. This is an independent contractor role.