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