Computational Mathematician - Fully Remote | Upto $70/hr

mercor; United States; Remote; USD 83,000 - 110,000; Part time

Job summary

Mercor is seeking a Mathematics PhD Coding Expert for a remote contract role starting immediately. The 6-week project requires 20+ hours per week and will be conducted asynchronously with global collaborators.

You will source material from papers and datasets, write scientific prompts, and build grading criteria. You will calibrate tasks against frontier models, aiming for ship-ready results only when strong models fail more often than they succeed.

Qualifications

• PhD in mathematics or a closely related field.
• Depth in at least two subdomains: numerical linear algebra, computational mechanics, or computational finance.
• Proficiency in Python for scientific computing.

Responsibilities

• Source material from papers, Kaggle datasets, open-source repos, or self-designed scenarios.
• Write scientific prompts based on sourced inputs.
• Build grading criteria to define correct answers.
• Calibrate tasks against frontier models to ensure robust failure modes.
• Work independently and asynchronously to meet deadlines while improving AI model performance.

Skills

Python for scientific computing

Independent work

Education

PhD in mathematics or closely related field

Tools

Git/GitHub

Docker

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Mathematics PhD Coding Experts

Type: Contract

Compensation: $70/hour

Location: Remote

Duration: 6 weeks

Commitment: 20+ hours/week

Role 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.

Qualifications

Must-Have

• PhD in mathematics, applied mathematics, computational mathematics, or a 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.

Preferred

• Publications in peer-reviewed journals.
• Prior scientific software or research engineering experience.

Start Date: Immediate