Math Expert (PhD)

$80–90/hrrate as listed

Write and review graduate-level mathematics responses that serve as reference answers for AI model training, spanning pure and applied topics from undergraduate through PhD coursework. Work is remote, output-based, and paid per accepted task, with observed rates in the $80–90/hr range depending on throughput.

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

What the work involves

You receive mathematics prompts — proof requests, problem sets, conceptual questions, sometimes flawed model outputs — and produce what micro1 calls a "golden response": a complete, correct, well-structured answer that a strong grader would accept without edits. Expect a mix of authoring from scratch and reviewing or repairing existing responses, where the harder skill is spotting a proof that looks fine but skips a case, misuses a hypothesis, or quietly assumes what it set out to show. Topics range across analysis, algebra, topology, probability, differential equations, numerical methods, and discrete mathematics; you are not expected to cover all of it, but you should be honest about your boundaries.

Writing quality matters as much as correctness. Responses need clean LaTeX, explicit statements of what is being used, and reasoning that a reader can follow line by line rather than a compressed sketch. Feedback cycles are iterative — reviewers will push back, guidelines get revised mid-engagement, and experts are asked to contribute to standards as the project matures.

What the screening looks for

Verifiable credentials. A PhD in mathematics or a closely adjacent field, with institution, advisor, and thesis area you can state plainly.
Depth under follow-up. AI-led screens typically ask a domain question, then keep going: why that hypothesis, what breaks without it, what is the counterexample. Rehearsed summaries fall apart quickly here.
Evaluation judgment. Can you say precisely why one of two correct answers is better, and can you distinguish a real error from a stylistic difference.
Writing samples in practice. Prior work on textbooks, exams, problem sets, or referee reports is a strong signal.

Logistics

Fully remote, fully asynchronous, contractor engagement. Compensation is per accepted task rather than hourly — the $80–90/hr figure reflects what experienced contributors report earning once they know the rubric, and it drops during the ramp-up period. Minimum weekly task submissions apply. micro1 fills these roles fast, often within 48 hours, and expects first tasks within a day or two of onboarding, so apply when you actually have bandwidth.

What they look for

Calculus
Research Methodology
Mathematics

Before you apply

Would you pass this screen?

Drawn from what this listing actually requires. Answered in your browser — nothing is sent to us, and we do not store your answers.

Do you hold a PhD in Mathematics, or a closely related discipline (such as Physics, Computer Science, Statistics, or Engineering) from an accredited institution?
PhD in Mathematics or closely related discipline · required
Are you able to work remotely and are you located in a time zone compatible with supporting this project?
Remote work location · preferred
Are you fluent in English and able to write mathematically precise responses in English?
Written communication in English · required
Can you commit to starting your first tasks within 24–48 hours of completing onboarding?
Availability within 24–48 hours · required
Are you able to submit the minimum number of tasks per week as specified by the project requirements?
Minimum weekly output commitment · required

0 of 5 answered

Included with this listing

Interview prep — 11 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: Whether the candidate's dissertation depth translates to working fluently across undergraduate *and* graduate curricula—not just their specialty—and whether they can explain technical work in accessible terms.
A strong answer: The candidate names their PhD focus, acknowledges it as one branch of mathematics, and describes either breadth they've maintained (teaching, service work, or concurrent interests) or a willingness to refresh knowledge in other areas. They show they understand this role spans multiple domains, not just their specialization.
Where people lose it: Treating the PhD as proof of omniscience: 'My dissertation was in algebraic topology, so I can obviously do anything.' Or the opposite—claiming they *only* know their narrow field and have no appetite to expand. Either answer signals they haven't absorbed that the job requires synthesizing golden-standard responses across the full math curriculum.