Project Description :
This project involves reviewing AI-generated responses and evaluating their reasoning quality and step-by-step problem-solving accuracy. You will provide expert feedback to help models produce answers that are accurate, logical, and clearly explained.
Your responsibilities will include :
- Assessing solutions for accuracy, clarity, and adherence to the given prompt.
- Identifying errors in calculations, methodology, or conceptual understanding.
- Fact-checking quantitative information across multiple AI responses.
- Writing high-quality mathematical explanations and model solutions that demonstrate correct reasoning.
- Comparing and rating AI-generated solutions based on mathematical correctness and reasoning quality.
Compensation :
Compensation is competitive and varies based on education level, institution, and prior experience.
Hiring Profile :
PhD in Mathematics, Statistics, or a closely related quantitative field from a top 5–10 university.Proven experience developing or critically reviewing complex mathematical content (e.G., problem banks, proofs, textbook sections, or research notes).Published in a peer-reviewed journal.English proficiency : C1 or above, with excellent writing and communication skills.Bonus : Experience in data labeling, RLHF, or AI model evaluation.