Mathematician, PhD (Contract)
Shape the data that powers frontier AI
Labelbox • Remote (United States preferred)
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
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 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
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
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.
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.
Mathematician, PhD (Contract)
Shape the data that powers frontier AI
Labelbox • Remote (United States preferred)
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
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 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
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
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.
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.
