Remote Math Expert: AI Reasoning Reviewer (Contractor)

AuraOne, Inc.; United States; Remote; USD 83,000 - 152,000; Full time

Benefits offered by this job

Flexible schedule

Remote work

Contractor role

Job summary

AuraOne, Inc. is seeking a Mathematics Expert (MSc/PhD) for a remote review track. You will evaluate AI outputs in mathematics reasoning, reproduce key steps, and document correct methods to train models.

This independent contractor position requires strong written communication and reliable weekly availability. Responsibilities include grading derivations, flagging errors, and calibrating scores across batches while aligning with textbooks and published work.

Qualifications

• Graduate-level training or equivalent in mathematics or 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

• Review AI outputs against current mathematics methods, conventions, and prior work for Mathematics Expert (MSc./PhD) 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.
• Adjudicate disputed answers against textbooks, papers, or community standards.
• Maintain reviewer-quality scores in inter-rater calibration cycles.

Skills

Scientific reasoning

Method validation

Citation review

Quantitative analysis

Mathematics

Education

Graduate-level training or equivalent in mathematics (MSc/PhD)

Job description

AuraOne, Inc. is seeking a Mathematics Expert (MSc/PhD) for a remote review track. You will evaluate AI outputs in mathematics reasoning, reproduce key steps, and document correct methods to train models.

This independent contractor position requires strong written communication and reliable weekly availability. Responsibilities include grading derivations, flagging errors, and calibrating scores across batches while aligning with textbooks and published work.