Mathematics Quality Assurance Lead

About OpenTrain

OpenTrain is the centralized platform where people build careers in AI training and data labeling. Contributors use OpenTrain to find projects, demonstrate proven work, and grow a durable freelance portfolio in the human side of AI.

We focus on making specialized AI training work easier to track, apply for, and turn into long-term freelance opportunities.

About AI training and this role

AI training (also called data labeling or human evaluation) is the human work that teaches models to reason, calculate, and explain. This role sits at the intersection of mathematics and quality leadership: you will ensure mathematical accuracy, clear reasoning, and consistent reviewer behavior across projects.

This position is a remote contractor role focused on reviewing and improving text-based math outputs and trainer/QAs who evaluate those outputs.

The role

OpenTrain is hiring a Mathematics Quality Assurance Lead to oversee quality and consistency across mathematics AI training projects. You will review AI-generated math content and trainer QA work, provide precise written feedback, and help maintain high standards for mathematical correctness and clarity.

You will also identify recurring quality gaps, support onboarding and calibration, maintain documentation and examples, and help activate contributors who are not working consistently.

• Role type: Remote contractor, part-time
• Location: United States only
• Time requirement: 20+ hours/week
• Pay: Hourly, up to $75/hour
• Data type: Text; label type: evaluation/rating

What you'll do

• Review AI-generated math explanations, proofs, derivations, calculations, word-problem solutions, diagrams, and step-by-step reasoning.
• Check outputs for correctness, logical reasoning, notation quality, formatting, clarity, and adherence to project rubrics.
• Provide ongoing written feedback to trainers and QAs and escalate recurring or critical issues.
• 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.
• Communicate project updates, quality expectations, and math-specific standards across remote teams.

Requirements

You must have strong mathematics reasoning skills and clear written English suitable for giving precise feedback and creating documentation.

The role expects broad familiarity across a wide range of mathematics topics and experience evaluating mathematical solutions or teaching math.

• Strong background across algebra, geometry, trigonometry, calculus, linear algebra, discrete math, probability, statistics, number theory, combinatorics, differential equations, and proofs.
• Ability to evaluate mathematical reasoning, find flawed assumptions, and detect calculation or proof errors.
• Experience in mathematics, teaching, tutoring, research, quantitative analysis, technical writing, problem creation, assessment design, or math-content review.
• Experience with AI training, rubric-based review, or LLM evaluation is a strong plus.
• Comfort collaborating in remote technical environments and producing clear written feedback.

Who should apply

This role is a strong fit if you enjoy reading and critiquing mathematical arguments, coaching reviewers, and building repeatable QA processes for text-based math content.

Apply if you want to shape how AI systems handle mathematical problems and help ensure outputs meet rigorous standards for correctness and clarity.

Schedule, pay, and logistics

This is a U.S.-based remote contractor role and requires at least 20 hours per week. The position is part-time and paid hourly, up to $75/hour.

Work focuses on evaluating text outputs and managing QA activities; familiarity with rubric-based evaluation and remote collaboration tools will help you succeed.

• Employment types: Contractor, Part-time
• Languages: English required

How to apply

Create an OpenTrain account (free) and submit an application for this Mathematics Quality Assurance Lead role. Share examples of math review, teaching, or QA work that demonstrate your ability to evaluate proofs, calculations, and mathematical reasoning.

Applications that include brief samples of written feedback or notes on common math errors you spot are especially helpful.