About the Role
We're looking for Mathematics experts to help evaluate and improve AI systems that reason through complex mathematical problems. Your deep subject-matter knowledge will directly shape how AI understands, solves, and explains math — from foundational concepts to advanced topics like causal inference and experimental design.
- Organization: Alignerr (Powered by Labelbox)
- Type: Hourly Contract
- Location: Remote
- Commitment: Flexible, asynchronous — minimum 15 hrs/week
What You'll Do
- Review and evaluate AI-generated mathematical solutions for accuracy, rigor, and logical soundness
- Create and refine high-quality math problems spanning a range of topics and difficulty levels, with a focus on causal inference and experimental design
- Identify errors in AI reasoning and provide structured, actionable feedback
- Label and categorize mathematical expressions, equations, proofs, and word problems
- Map relationships between mathematical concepts to help AI models understand underlying structure
- Contribute to training datasets that cover a wide spectrum of mathematical domains
Who You Are
- Strong background in mathematics — through research, graduate study, teaching, or applied problem-solving
- Able to analyze complex mathematical reasoning and spot subtle errors
- Clear communicator who can translate abstract concepts into structured, precise feedback
- Detail-oriented and reliable when working independently
- Comfortable working asynchronously on task-based assignments
Nice to Have
- Experience in statistics, causal inference, or experimental design
- Background in education, curriculum development, or technical writing
- Prior work in data labeling, RLHF, or AI training workflows
Why Join Us
- Work on cutting-edge AI projects with top research labs and Fortune 500 teams
- Fully remote and flexible — work on your own schedule from anywhere
- Your contributions directly improve how frontier AI models reason through mathematics
- Freelance perks: autonomy, variety, and meaningful impact
- High performers take on expanded responsibilities and mentor incoming subject-matter experts
- Potential for ongoing work and contract extension