Mathematics Expert - Remote AI Training (Part-Time)
Listing checked September 16, 2026 · pay as published by Mercor
Overview
Mercor keeps a standing pool of mathematicians for AI training and evaluation projects rather than a single opening. Research teams at major AI labs need human judgment on math problems and proofs, and they rely on experts to build rubrics and grade model output. Work can arrive on short notice, so the pool stays open even when no project runs this week. Assignments cover tasks like writing research or competition-level problems, checking each proof step, reviewing edge cases, and spotting answers that look right but lack proof. Contracts in this field have paid $40 to $75 per hour, and Mercor sets each rate by project scope and depth.
What You'll Do7
- 1Write original math problems at research or competition level, including the statement, intended solution, and reference answer for grading model attempts.
- 2Review model-written proofs step by step, checking whether each move follows and whether edge cases receive proper treatment.
- 3Confirm that appeals to known theorems meet all hypotheses before accepting them as valid.
- 4Flag correct answers that rest on arguments which do not prove the result.
- 5Point out unclear project instructions and ask for missing details before work begins.
- 6Explain mathematical reasoning in writing so project teams can audit the evaluation.
- 7Compare model solutions against reference answers and note where reasoning breaks down.
Requirements5
- 1Graduate degree in mathematics or a related field, or a research or competition record that shows comparable depth.
- 2Ability to tell a rigorous proof from a convincing sketch and state the exact gap.
- 3Written communication skills strong enough to explain reasoning to readers who need precise math, not vague summaries.
- 4Comfort with ambiguous tasks and a habit of raising unclear instructions instead of guessing.
- 5Attention to edge cases and theorem hypotheses when judging model output.
Who Should Apply
The ideal candidate holds a graduate math degree or has a serious competition or research background and can read a proof for gaps in logic. You should enjoy writing out your reasoning, because most tasks ask you to justify a grade or explain why a model answer fails. This work suits mathematicians who can handle a task with loose instructions and still ask sharp questions about what is missing. Candidates tend to score lower when they accept a proof that has a hidden flaw, or when their written feedback states a verdict without showing the step where the argument breaks. A thin math background or a dislike for explaining your thought process will make matching unlikely.
Salary Insight
The listing states a range of $40 to $75 per hour. Mercor sets each contract rate by project scope and depth, so competition-level problem writing or advanced proof grading tends to sit near the top, while routine evaluation work may fall closer to the lower end. No other pay details appear on this standing listing.
Pay and demand for Machine Learning & AI roles
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$40–$75/hr
Most Machine Learning & AI roles pay $55–$100 per hour. This role's pay falls inside that range.
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Compensation
$40–75/hr
Required Skills
Application Tip
Apply with a resume that names your math degree, competition results, or research papers, then confirm the country or region you work from. During the 20-minute AI interview, walk through one example where you found a gap in a proof and explain the missing step in plain language. Sign up for every Mercor network you qualify for, since each one adds project matches without a second application.
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