Mathematics QA Lead - Remote

Job Title

Bachelor’s, Master’s, or PhD degree in Mathematics, Applied Mathematics, Statistics, Physics, Engineering, Computer Science, Mathematics Education, or a closely related quantitative field.

Contract

Remote

In this hourly, remote contractor role, you will work as a Mathematics Quality Assurance Lead to oversee quality, consistency, and trainer performance across mathematics AI training projects. You will review AI‑generated math content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for mathematical accuracy, logical reasoning, calculation correctness, proof validity, notation quality, clarity, formatting, instruction‑following, and adherence to project‑specific rubrics.

You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help keep contributors engaged. This role requires strong mathematics expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote technical teams.

• Bachelor’s, Master’s, or PhD degree in Mathematics, Applied Mathematics, Statistics, Physics, Engineering, Computer Science, Mathematics Education, or a closely related quantitative field.
• Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear mathematical feedback in English.
• 3+ years of professional experience in mathematics, teaching, tutoring, research, quantitative analysis, technical writing, curriculum development, problem creation, assessment design, or math‑content review.
• Strong understanding of core mathematics topics such as algebra, geometry, trigonometry, calculus, linear algebra, discrete mathematics, probability, statistics, number theory, combinatorics, differential equations, and mathematical proofs.
• Ability to evaluate math content against detailed rubrics and identify issues such as incorrect assumptions, flawed reasoning, invalid proofs, calculation errors, notation problems, missing steps, hallucinated facts, or incomplete explanations.
• Comfortable reviewing both conceptual explanations and step‑by‑step solutions, including whether each step logically follows from the previous one.
• Familiarity with mathematical tools or workflows such as LaTeX, Python, MATLAB, R, Wolfram Alpha/Mathematica, Geo Gebra, Desmos, spreadsheet modeling, or symbolic computation tools is preferred.
• Experience leading or supporting remote teams of trainers, annotators, reviewers, educators, technical writers, or QAs is strongly preferred.
• Comfortable working in fast‑moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
• Highly detail‑oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, honeypots, calibration tasks, and other quality documentation.
• Experience with AI training, data annotation, large language models, prompt/response evaluation, mathematical content QA, or rubric‑based LLM evaluation is a strong plus.

• Quality monitoring:
  Spot‑check mathematics items, identify quality issues, provide ongoing feedback through DMs, and elevate recurring or critical issues.
• Mathematical review:
  Evaluate AI‑generated math explanations, proofs, derivations, calculations, word‑problem solutions, diagrams/descriptions, and step‑by‑step reasoning for correctness and clarity.
• Trainer and QA communication:
  Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and math‑specific review standards.
• Question handling:
  Respond to trainer/QA questions clearly and promptly, especially around reasoning validity, notation, assumptions, solution methods, proof structure, formatting, and rubric interpretation.
• Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow‑ups,…