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.