Computational Mathematician - Fully Remote | Upto $70/Hr

Mercor; San Francisco (CA); Hybrid; GBP 63,000 - 94,000; Full time

Job summary

Mercor is seeking a Mathematics PhD Coding Expert for a remote contract role of 6 weeks, offering $70/hour and 20+ hours per week. You will source material from papers and datasets, write prompts to challenge frontier models, and build grading criteria to define correct answers for scientific tasks.

You will work independently to meet deadlines while helping improve AI model performance, with immediate start and remote collaboration across time zones.

Qualifications

• PhD in mathematics or closely related field.
• Demonstrated depth in at least two subdomains (numerical linear algebra, computational mechanics, computational finance).
• Proficiency in Python or R for scientific computing.
• Comfortable with Git/GitHub and running code in Docker.

Responsibilities

• Source original material from published papers, Kaggle datasets, open-source repositories, or self-designed scenarios.
• Write scientific prompts based on sourced input to challenge frontier models.
• Build grading criteria that define correct answers for scientific tasks.
• 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.

Skills

PhD in mathematics

Two subdomains depth

Python

R

Git/GitHub

Docker

Education

PhD in Mathematics

Tools

Git

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

Position: Mathematics PhD Coding Experts
Type: Contract
Compensation: $70/hour
Location: Remote
Duration: 6 weeks
Commitment: 20+ hours/week

Role Responsibilities

• Source original material from published papers, Kaggle datasets, open-source repositories, or self-designed scenarios.
• Write scientific prompts based on sourced input to challenge frontier models.
• Build grading criteria that define correct answers for scientific tasks.
• 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.
• Demonstrated depth in at least two subdomains: numerical linear algebra, computational mechanics, computational finance.
• Working proficiency in Python or R 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

Resources & Support

• For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
• For any help or support, reach out to: [e-mail]