- The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data
- This role involves evaluating, annotating, and validating mathematical content to improve AI model performance in mathematical reasoning and problem-solving
- Review and evaluate mathematical solutions for accuracy, rigor, and clarity
- Annotate mathematical reasoning steps and problem-solving approaches
- Validate AI-generated mathematical content across various difficulty levels
- Identify errors in mathematical logic, notation, and methodology
- Provide detailed feedback on mathematical explanations and proofs
- Work with problems spanning algebra, calculus, statistics, linear algebra, differential equations, and advanced mathematics
- Variable hours based on project availability and your capacity
- Ongoing training and calibration provided
Quality-focused environment with performance feedback