Mathematics Professor for AI Model Training

Apply advanced mathematical expertise to create, review, and refine high-quality training data and instructional content that help train next-generation AI systems. This remote contractor role focuses on converting deep domain knowledge into rigorous problems, proofs, explanations, and dataset annotations that improve model learning, reasoning, and performance. No prior AI experience is required.

• Review, analyze, and evaluate complex mathematical content to produce detailed feedback and domain-specific insights for AI model training.
• Develop and contribute original mathematical problems, proofs, and teaching materials across undergraduate and graduate topics.
• Annotate, critique, and refine mathematical datasets for accuracy, depth, and pedagogical value.
• Collaborate with other subject matter experts and project stakeholders to define quality standards and subject coverage.
• Draft and edit clear written explanations, solutions, and instructional content tailored for AI learning and reasoning tasks.
• Participate in iterative review cycles to enhance the robustness and diversity of mathematical data.

• PhD in Mathematics or a closely related quantitative field, required.
• Demonstrated experience in university-level teaching or advanced mathematical research.
• Proven ability to communicate intricate mathematical concepts precisely and clearly, in writing and verbally.
• Strong analytical skills and attention to detail when reviewing mathematical work and educational content.
• Familiarity with contemporary mathematical literature and ongoing research trends.
• Experience developing learning materials or problem sets for mathematics education is a plus.
• Intellectual curiosity about artificial intelligence and its implications for mathematical discovery and instruction.
• Core skills: mathematics, research, teaching, PhD-level competency.

This is a contractor engagement, performed remotely, contributing to a customer project. Contributions involve producing and reviewing mathematical content used to train and evaluate AI systems. No prior AI experience is required; domain expertise is the primary qualification.

Pay range: $60.00 to $90.00 per hour.

• Must hold a PhD in Mathematics or a closely related quantitative field.
• Open to experienced academics and research professionals who can work remotely as contractors.