About this role
Join a dynamic team of expert mathematicians to create and review high-quality academic assessment content for an AI research initiative. In this role, you will be responsible for writing and verifying rigorous multiple-choice questions across core mathematics domains, evaluating solution quality, and helping to establish gold-standard benchmarks that will enhance AI capabilities.
You will engage in one of two primary tasks:
- Question Authoring — Develop original, challenging multiple-choice questions in your area of mathematical expertise, assess their difficulty, and submit them for review.
- Question Verification — Review pre-written questions for accuracy, clarity, and rigor. Edit as necessary, rate difficulty, and document any changes made.
Areas of focus include Algebra (including Linear Algebra), Probability & Statistics, Analysis (including Calculus), Discrete Mathematics (including Combinatorics & Graph Theory), Number Theory, Geometry & Topology, ODE/PDE & Dynamical Systems, Optimization & Operations Research (including Game Theory), Computational & Numerical Mathematics, Logic, Set Theory & Foundations.
Key Responsibilities- Author original math questions that assess deep conceptual understanding rather than surface-level recall.
- Ensure questions are unambiguous, self-contained, and precisely defined, with all necessary information included in the problem statement.
- Rate each question''s difficulty as Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above).
- Provide one correct answer and nine plausible but subtly incorrect alternatives that challenge expert-level solvers.
- Write step-by-step Chain-of-Thought solutions with clear, concise intermediate steps in markdown format.
- Supply one to five academic references per question from reputable sources, such as peer-reviewed journals or university repositories.
- For verification tasks, identify issues with clarity, completeness, precision, or solvability and justify any edits made.
- PhD or doctoral candidate in Mathematics, Applied Mathematics, Statistics, or a closely related field.
- Master''s degree may be considered for candidates with exceptional depth in a specific subdomain.
- Strong command of graduate-level mathematical concepts and formal proof writing.
- Experience with rigorous academic problem design or mathematical competition writing is a strong plus.
- Excellent written English and the ability to express complex ideas clearly and concisely.
Expected commitment is 10 or more hours per week, with fully remote and asynchronous work arrangements.