Applied Mathematics Specialist - Fully Remote

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 Bayesian Statistics and Applied Mathematics Expert Type:
Contract Compensation: $70–$100/hour

Location:

Remote Commitment: 15–20 hours/week

• Design challenging computational problems to test AI capabilities in solving scientific and engineering tasks.
• Develop problems requiring the use of specialized scientific software for simulations and experiment design.
• Refine problems through iterative testing against state-of-the‑art AI models to achieve target difficulty.
• Collaborate on creating tasks that require strategic thinking and efficient information extraction.
• Work independently to enhance problem designs based on feedback and model performance.

• Graduate-level training in a relevant STEM field ( MS, PhD , or equivalent research experience).
• Proven proficiency with at least one scientific software library ( PyMC , FEniCS , etc.).
• Strong Python skills for writing problem setups and solution validators.
• Ability to work independently and refine problem designs.
• Comfortable in a Linux/terminal environment with remote compute sandboxes.
• Available for at least 15–20 hours/week .

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