Math Expert

Alignerr; United States; Remote; USD 34,000 - 138,000; Full time

Job summary

Labelbox seeks a Math Expert contractor to remotely shape data powering frontier AI. You will label mathematical data, map concepts, verify AI solutions, and help craft training datasets, with an emphasis on precision and mathematical rigor.

You’ll work asynchronously from anywhere, contributing to high-impact AI projects for leading labs and Fortune 500 teams. This role offers flexible hours and a strong focus on quality and continual improvement.

Qualifications

• Must have deep expertise in mathematics (research, teaching, or applied problem solving).
• Experience building or reviewing data, educational, or technical content.
• Ability to communicate complex concepts clearly and translate theory into practice.

Responsibilities

• Data annotation: accurately label and categorize mathematical expressions, equations, proofs, word problems, and related data.
• Concept mapping: connect mathematical concepts and relate areas to aid model understanding.
• Problem-solving verification: analyze AI solutions to math problems, identify errors, and provide feedback.
• Curriculum development: contribute to training datasets covering diverse mathematical topics.

Skills

Math expertise

Data labeling

Concept communication

RLHF experience

Tools

Labelbox

AI data tooling

Job description

Remote (UnitedStates preferred) Shape the data that powers frontier AI

Math Expert (Contract)

Remote (UnitedStates preferred) Shape the data that powers frontier AI

Quick facts

Engagement - Hourly, at‑will contractor- Schedule - Fully remote & asynchronous (min.15hrs/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 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 & Fortune500 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, AndreessenHorowitz, BCapital, GradientVentures, DatabricksVentures, and KleinerPerkins, and trusted by leading research labs and enterprises worldwide.