Remote Computational Mathematician for AI Research & Modeling

mercor

United States

Remote

USD 83,000 - 124,000

Part time

14 days+

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Job summary

Mercor connects elite creative and technical talent with leading AI research labs. This remote contract role requires a PhD in mathematics and deep expertise in numerical methods, with Python proficiency and Docker/GitHub experience.

You will source datasets, craft prompts, define evaluation criteria, and calibrate tasks against frontier models, working independently to meet deadlines. The position runs for 6 weeks at ~20+ hours/week, with a contract-based compensation of $70/hour, and can be

Qualifications

PhD in mathematics, applied mathematics, computational mathematics, or closely related field.
Depth in at least two subdomains: numerical linear algebra, computational mechanics, computational finance.
Working proficiency in Python for scientific computing.
Comfortable with Git/GitHub and running code in Docker.

Responsibilities

Source material from published papers, Kaggle datasets, open-source repositories, or self-designed scenarios.
Write scientific prompts based on sourced inputs.
Build grading criteria to define correct answers.
Calibrate tasks against frontier models, ensuring tasks ship only when strong models fail more often than succeed.
Work independently and asynchronously to meet deadlines while improving AI model performance.