Mathematics AI Trainer

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.