Computational Seismology Benchmark Architect

Obsidian

San Francisco (CA)

On-site

USD 83,000 - 138,000

Part time

14 days+
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Job summary

Obsidian is seeking a Computational Seismology & Geophysics Expert to design challenging problems that apply real scientific software to research-level tasks. You will craft graduate-level scenarios, run simulations, interpret results, and iteratively refine problems against state-of-the-art AI models.

The role emphasizes strategic reasoning, multi-step workflows, and deep domain libraries such as SPECFEM, ObsPy, Pyrocko, and SimPEG. Remote, part-time commitment (15–20 hrs/week) is expected.

Qualifications

  • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience)
  • Proven proficiency with at least one of the listed scientific software libraries, shown through publications, open-source contributions, or professional work
  • Strong Python skills — writing problem setups, oracle functions, and solution validators
  • Ability to work independently and refine problem designs based on feedback
  • Comfortable working in a Linux/terminal environment with remote compute sandboxes
  • Available for at least 15–20 hours per week

Responsibilities

  • Design original, graduate-level problems based on real scientific workflows using specialized software
  • Run simulations, interpret results, and design experiments to test AI models
  • Evaluate and refine problems until the target difficulty is met
  • Plan a series of queries or experiments to uncover information not directly visible

Skills

Python
Linux/Terminal
Research
Problem Design

Education

Graduate-level STEM degree (MS/PhD)

Tools

SPECFEM
ObsPy
Pyrocko
SimPEG
pyGIMLi
SeisBench
EQcorrscan
Fatiando a Terra

Job description

Obsidian is seeking a Computational Seismology & Geophysics Expert to design challenging problems that apply real scientific software to research-level tasks. You will craft graduate-level scenarios, run simulations, interpret results, and iteratively refine problems against state-of-the-art AI models.

The role emphasizes strategic reasoning, multi-step workflows, and deep domain libraries such as SPECFEM, ObsPy, Pyrocko, and SimPEG. Remote, part-time commitment (15–20 hrs/week) is expected.

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