Mercor

Math Expert

Math Expert

South Korea

Contract-based

Date Posted

Offered salary

$40 - $60 per hour

Closing date

Closing soon

Qualification

Bachelor's +

Hiring location

South Korea

Experience

Background in maths

Responsibilities
• Solve advanced mathematical problems across competition math, proof-based mathematics, and quantitative reasoning
• Evaluate and provide expert feedback on AI-generated mathematical reasoning and proofs
• Develop original, research-grade problems spanning number theory, combinatorics, algebra, real analysis, and probability
• Apply quantitative and statistical methods to assess and improve model performance
• Collaborate with AI research teams to identify gaps and design targeted training tasks

Requirements
• Demonstrated participation or achievement in elite competitive mathematics (IMO, USAMO, Putnam, or equivalent)
• Deep proficiency across multiple mathematical disciplines, including proof-based mathematics, combinatorics, and analysis
• Strong quantitative background with mathematical rigor in research or industry
• Bachelor's degree or higher in Mathematics, Applied Mathematics, Statistics, or related field
• Ability to produce precise, well-structured mathematical writing

Preferred
• Advanced degree in Mathematics
• Experience in quantitative finance, theoretical CS, or academic research

How to Apply
Click "Apply" to be taken to the Cincinnatus website. This is a full-time W-2 opportunity with Cincinnatus LLC. Cincinnatus serves as the employer of record, providing payroll, benefits, and compliance while placing employees within client teams. Applying through our link supports WFH Bulletin as a referral partner, but you are welcome to apply directly if you prefer.

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Mercor

Math Expert

Overview

Cincinnatus is seeking exceptionally talented Math Experts to contribute to the training of frontier AI models. This is a rare opportunity for elite mathematicians to directly shape next-generation artificial intelligence by producing high-quality mathematical reasoning data, evaluating model outputs, and solving research-grade problems that push the boundaries of what AI can do.

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