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 Seismology & Geophysics Expert

Type: Contract Compensation: $70–$85/hour Location: Remote Commitment: 15–20 hours/week Role Responsibilities

- Design challenging computational problems to evaluate AI capabilities in solving scientific tasks.
- Develop problems requiring the use of specialized scientific software like SPECFEM, ObsPy, and Pyrocko.
- Test and refine problems against state-of-the-art AI models to achieve target difficulty.
- Collaborate on AI model training, evaluation, and improvement in computational seismology.
- Work independently and asynchronously to refine problem designs based on feedback.

Qualifications Must-Have

- Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
- Proven proficiency with at least one scientific software library (SPECFEM, ObsPy, etc.).




- Strong Python skills for writing problem setups and solution validators.
- Ability to work independently in a Linux/terminal workplace.
- Available for at least 15–20 hours per week.

Preferred

- Experience across multiple listed 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.

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: https://talent.docs.mercor.com/welcome
- 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. ,

📌 Computational Seismology Expert - PhD (Montreal)
🏢 Mercor
📍 Montreal