Computational Seismology Expert - PhD
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 environment .
- 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:
- 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