Mathematician, PhD

Mathematician, PhD (Contract) Labelbox Remote (United States preferred) Shape the data that powers frontier AI Quick facts - Engagement - Hourly, at‑will contractor- Schedule - Fully remote & asynchronous (min. 15 hrs/week)- Pay Range (US) - \$25 – \$100 per hour- Start Date - Rolling — staffed as projects launch 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 hold a PhD in mathematics (or a closely related field), with demonstrated expertise in research, teaching, or advanced problem-solving- You have experience developing or critically reviewing sophisticated mathematical, technical, or educational content—such as research publications, curriculum design, or complex problem sets- You excel at communicating advanced mathematical concepts with clarity, and enjoy translating abstract theory into practical application- Bonus: You have experience with data labeling, RLHF, or other AI training or model evaluation 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 advanced 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.