Math Expert

What you’ll do - Data annotation: Accurately label and categorize mathematical expressions, equations, proofs, word problems, and other relevant data. - Concept mapping: Connect mathematical concepts and establish relationships between different areas of mathematics to help AI models understand the underlying structure of the subject. - Problem-solving verification: Analyze AI-generated solutions to mathematical problems, identifying errors and providing feedback to improve model accuracy. - Curriculum development: Contribute to the development of comprehensive training datasets that cover a wide range of mathematical concepts and difficulty levels.

You’re a great fit if - You bring deep expertise in mathematics (research, teaching, or applied problem‑solving) - You’ve built or reviewed complex data, educational, or technical content - You communicate concepts clearly and enjoy turning theory into practice - Bonus: Experience with data labeling, RLHF, or other AI training projects

About the role - Flexible workload — work from anywhere, on your own schedule - High impact — your craft directly improves models used by top AI labs & Fortune 500 teams - Clear ownership — know exactly what success looks like and have autonomy to deliver - Growth potential — consistent high performers spearhead new programs and mentor incoming SMEs

Interview process - Complete a screening with Zara, our AI interviewer in English, to learn more about your background and experience. - Domain-specific Zara interview to assess your understanding of fundamental mathematical principles, analyzing complex mathematical processes, and applying theoretical frameworks to real-world scenarios.

About Labelbox Labelbox builds the data engine that accelerates breakthrough AI. Our platform, expert services, and marketplace let teams iterate on data as nimbly as they iterate on code, enabling safer, smarter models in production. We’re backed by SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins, and trusted by leading research labs and enterprises worldwide.

Ready to Apply? Click “Apply” above, and take one or more domain specific assessments.

We review candidates on a rolling basis and will contact you if your background matches an active project.