Mathematics Domain Expert

$90–140/hr

rate as listed

Workload: ~15h/week
Engagement: Project-based
Location: US
Field: Sciences

Review research-level mathematics tasks and model outputs, then write rigorous problem specifications, proofs, and reference solutions. This remote role is for senior, US-based mathematical researchers with a PhD, a peer-reviewed publication record, and hands-on experience using large language models.

The work

You will assess whether model-generated mathematical arguments are genuinely correct, not merely polished. Day-to-day work includes identifying proof gaps, unjustified steps, and invalid generalizations; writing precise problem statements and reference proofs; and building research-level benchmarks within your mathematical specialty.

What the platform screens for

The screen is likely to verify your PhD, senior research appointment, publication record, and depth in a specific field. Expect follow-up questions about particular results, proof techniques, benchmark design, and examples where you distinguished a valid argument from a plausible but incorrect model response. Hands-on use of large language models and precise written feedback are core qualifications.

Logistics

The role is fully remote and limited to candidates based in the United States. The listing does not state a weekly hour range, project duration, or whether all work is asynchronous, so candidates should be ready to clarify their realistic availability and any scheduling constraints during screening.

Compensation

The observed listing includes the following compensation information, which is not guaranteed:

Pay band: $90–140/hr

What they look for

Research-level specialization in mathematics, applied mathematics, statistics, operations research, or a closely related field
Rigorous proof review and detection of subtle mathematical errors
Writing precise problem specifications, reference solutions, and proofs
Designing research-level mathematical benchmarks and evaluation sets
Peer-reviewed mathematical research and publication
Hands-on use and evaluation of large language models

Included with this listing

Interview prep — 10 questions

Matched to what this platform's screening actually measures. Answer each out loud in 60–90 seconds: claim → concrete example → implication.

What it tests: This verifies seniority and whether the candidate has a focused, active research identity rather than broad but shallow mathematical familiarity.
A strong answer: Name the appointment, institution type, specialty, and two or three concrete research themes, including the methods used and how recent work contributes to the field. The description should make the candidate's own role distinguishable from that of collaborators.
Where people lose it: Candidates lose points by naming a broad field such as analysis or statistics without identifying specific problem classes, techniques, or personal research contributions.

Summary, eligibility guidance and screening preparation are prepared by Sidequest from the platform's posting. Check the source listing before applying.