Mathematics Quality Assurance Lead

As a Mathematics Quality Assurance Lead, you will oversee quality across mathematics AI training projects. You will review AI-generated content and trainer QA work, give precise written feedback, and help teams follow project standards.

• Review math explanations, proofs, derivations, calculations, word-problem solutions, diagrams, and step-by-step reasoning.
• Check mathematical correctness, logical reasoning, proof validity, calculation accuracy, notation, clarity, formatting, and instruction-following.
• Evaluate work against project-specific rubrics and identify flawed assumptions, recurring issues, and critical errors.
• Give ongoing written feedback to trainers and QAs and escalate recurring or serious quality problems.
• Share project updates, quality expectations, and mathematics standards with remote teams.
• Create and maintain style guides, trackers, FAQs, honeypots, calibration tasks, examples, and onboarding materials.
• Run onboarding and training calls and help improve scalable QA workflows for mathematics projects.
• Help activate contributors who are not working consistently.

What It Pays and Takes

This is an hourly, part-time contractor role for an intermediate-level contributor. The work focuses on evaluating and improving mathematics content used to train AI systems.

• Pay: $25 to $75 per hour, with pay up to $75 per hour.
• Time: 20 or more hours per week.
• Location: United States only.
• Language: Clear written English communication is required.
• Mathematics knowledge: Broad familiarity with algebra, geometry, trigonometry, calculus, linear algebra, discrete mathematics, probability, statistics, number theory, combinatorics, differential equations, and proofs.
• Experience: Mathematics, teaching, tutoring, research, quantitative analysis, technical writing, problem creation, assessment design, or math-content review.
• You must be able to evaluate mathematical reasoning, find flawed assumptions, and catch calculation or proof errors.
• Experience with AI training, data annotation, large language model evaluation, or rubric-based quality review is a strong plus.
• You should be comfortable collaborating in remote technical environments.

How It Works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI Training Work

AI training is the human work behind systems that generate and understand content. People review model responses, check reasoning, and provide feedback so AI systems become more accurate and useful; specialized mathematics knowledge is valuable for this work.