Mathematician, PhD
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. Followed by a domain‑specific Zara interview to assess your understanding of advanced mathematical principles, analyzing complex mathematical processes, and applying theoretical frameworks to real‑world scenarios.
Responsibilities
- 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.
Requirements
- PhD in mathematics (or a closely related field), with demonstrated expertise in research, teaching, or advanced problem‑solving.
- Experience developing or critically reviewing sophisticated mathematical, technical, or educational content—such as research publications, curriculum design, or complex problem sets.
- Ability to communicate advanced mathematical concepts with clarity, and enjoy translating abstract theory into practical application.
- Bonus: Experience with data labeling, RLHF, or other AI training or model evaluation projects.
Pay
Pay Range (US): $25 – $100 per hour.
Schedule
Fully remote & asynchronous (minimum 15 hrs/week).