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

mercor; India; Remote; INR 9,344,000 - 12,014,000; Full time

Job summary

Mercor connects elite creative and technical talent with leading AI research labs. This remote contract role focuses on creating computational statistics and applied mathematics problems for advanced AI testing.

You’ll design and refine tasks using Python, R, and Matlab/Scilab, working 15–20 hours weekly from a Linux/terminal environment. The ideal candidate holds graduate-level training in statistics or applied mathematics, shows proficiency with at least one specialized software package, and

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

Independent work

Problem design

Analytical thinking

Education

Graduate-level statistics or applied mathematics

Tools

Python

R

Matlab/Scilab

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.

Application Process (Takes 20–30 mins to complete)

• Upload resume
• AI interview based on your resume
• Submit form

Resources & Support

• For details about the interview process and platform information, please check:
• For any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Originally posted on Himalayas