17 Aug
|
Mercor
|
Toronto
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: 1520 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 , Obs
Py , 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 , Obs
Py , etc.).
Strong Python skills for writing problem setups and solution validators.
Ability to work independently in a Linux/terminal environment .
Available for at least 1520 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 2030 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 prospect.
📌 Computational Seismology Expert - PhD (Toronto)
🏢 Mercor
📍 Toronto