Applied Mathematics Specialist - Fully Remote | Upto $90/Hr

Mercor; San Francisco (CA); Hybrid; GBP 73,000 - 94,000; Full time

Job summary

Mercor is seeking a Computational Statistics and Applied Mathematics Expert to design computational problems and evaluate AI models. The role requires graduate-level training in statistics or applied mathematics, strong Python skills, and the ability to work independently in a Linux/terminal environment with remote compute sandboxes.

The contract position is remote, offering 15–20 hours per week and compensation of $70–$90 per hour.

Qualifications

• Graduate-level training in statistics, applied mathematics, or a relevant STEM field.
• Proven proficiency with at least one specialized statistical, mathematical, or scientific software package.
• Strong Python skills.
• Ability to work independently and refine problem designs based on feedback.
• Available for at least 15–20 hours per week.

Responsibilities

• Design challenging computational problems to test AI systems' ability to solve scientific and engineering tasks.
• Develop problems requiring skilled use of specialized statistical, mathematical, or scientific software packages.
• Test and refine problems against state-of-the-art AI models to achieve target difficulty.
• Collaborate with AI research teams to improve problem setups and solution validators.
• Work independently in a Linux/terminal environment with remote compute sandboxes.

Skills

Python

Statistical software

Independent work

Education

Graduate-level training in statistics or applied mathematics

Tools

Linux/Terminal

Containerized environments

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: Computational Statistics and Applied Mathematics Expert (R, Python, and Matlab/Scilab)
Type: Contract
Compensation: $70–$90/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

• Design challenging computational problems to test AI systems' ability to solve scientific and engineering tasks.
• Develop problems requiring skilled use of specialized statistical, mathematical, or scientific software packages.
• Test and refine problems against state-of-the-art AI models to achieve target difficulty.
• Collaborate with AI research teams to improve problem setups and solution validators.
• Work independently in a Linux/terminal environment with remote compute sandboxes.

Qualifications

Must-Have

• Graduate-level training in statistics, applied mathematics, or a relevant STEM field.
• Proven proficiency with at least one specialized statistical, mathematical, or scientific software package.
• Strong Python skills.
• Ability to work independently and refine problem designs based on feedback.
• Available for at least 15–20 hours per week.

Preferred

• Experience across multiple computational domains or specialized software packages.
• Familiarity with benchmark or evaluation design.
• Background in scientific teaching or exam/problem-set design.
• Experience with computational reproducibility and containerized environments.

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.