Mathematics Quality Assurance Lead (QAL)

You will review AI-generated mathematics content and trainer quality-assurance work. Your feedback will help ensure that mathematical reasoning and project standards are accurate and clear.

• Review explanations, proofs, derivations, calculations, word-problem solutions, diagrams, and step-by-step reasoning.
• Check mathematical accuracy, logical reasoning, calculation correctness, proof validity, notation, clarity, formatting, and instruction-following.
• Evaluate work against project-specific rubrics and provide precise written feedback to trainers and quality reviewers.
• Spot recurring or critical quality issues and escalate them when needed.
• Share project updates, quality expectations, and mathematics standards with remote teams.
• Create and maintain style guides, trackers, FAQs, calibration tasks, examples, and onboarding materials.
• Run onboarding and training calls and help improve quality-assurance workflows for mathematics projects.
• Support contributor activation when people are not working consistently.

This is a remote, part-time contractor role focused on mathematics AI training and quality leadership. The role is listed at the intermediate experience level.

• Time requirement: 20+ hours per week.
• Language: Clear written English communication.
• Education and experience: A strong mathematics background and experience in mathematics, teaching, tutoring, research, quantitative analysis, technical writing, problem creation, assessment design, or math-content review.
• Mathematics coverage: Broad familiarity with algebra, geometry, trigonometry, calculus, linear algebra, discrete mathematics, probability, statistics, number theory, combinatorics, differential equations, and proofs.
• Quality skills: Ability to evaluate mathematical reasoning, identify flawed assumptions, and catch calculation or proof errors.