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 using specialized statistical, mathematical, or scientific software packages.
- Evaluate AI's ability to compute reproducible numerical answers and carry out complex workflows.
- Develop problems requiring strategic planning for information discovery and efficient problem-solving.
- Test and refine problems against state-of-the-art AI models to achieve target difficulty.
- Work independently and asynchronously to refine problem designs based on feedback.
Qualifications
Must-Have
- Graduate-level training in statistics, applied mathematics, or a relevant STEM field.
- Proven proficiency with at least one specialized software package through research publications or professional work.
- Strong Python skills for writing problem setups and solution validators.
- Ability to work independently in a Linux/terminal environment with remote compute sandboxes.
- 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)
- AI interview based on your resume
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