Mathematician for AI Training (PhD)

Apply advanced mathematics expertise to help train next-generation AI systems through precise, high-quality responses to complex undergraduate- and graduate-level prompts. Key Responsibilities

• Develop comprehensive, accurate responses to complex mathematics questions across undergraduate and graduate curricula.
• Review, refine, and deliver high-quality reference answers for AI training.
• Analyze mathematical problems, proofs, and concepts, then present structured, accessible explanations.
• Collaborate remotely with other subject-matter experts to maintain clarity, precision, and educational value.
• Provide feedback that improves project guidelines, response standards, and content workflows.
• Meet project requirements for formatting, quality, and timely delivery.

• PhD in Mathematics or a closely related discipline from an accredited institution.
• Strong expertise in calculus, research methodology, and mathematics, including familiarity with pure and applied mathematics.
• Demonstrated academic excellence, particularly at the graduate level.
• Excellent written and verbal communication skills, with the ability to explain complex concepts clearly and concisely.
• Experience authoring or reviewing mathematics materials, such as textbooks, exams, problem sets, or journal articles.
• Exceptional attention to detail, adaptability, and openness to iterative feedback in a remote collaborative environment.
• No prior AI experience is required.

• Remote independent-contractor engagement.
• Compensation is output-based and paid per task that meets project specifications. Completion time may vary by experience and workflow.
• Minimum submission requirements apply, including a minimum number of tasks submitted each week.
• Selected candidates should be ready to begin their first tasks within 24 to 48 hours after completing the required onboarding steps.

$80 to $90 per hour.