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 setting.
- 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 (Toronto)
🏢 Mercor
📍 Toronto