First seen by our source: 20 days ago
Computational Seismology Expert - PhD
@ Mercor
Toronto, Ontario
Overview
Mercor is hiring a remote contract Computational Seismology & Geophysics Expert at $70–$85/hour for 15–20 hours per week. The work involves designing computational problems that test AI capabilities on seismology tasks, using tools such as SPECFEM, ObsPy and Pyrocko.
Pay:
$70–$85 an hour
Responsibilities:
- Design computational problems to evaluate AI scientific capabilities
- Develop problems using SPECFEM, ObsPy and Pyrocko
- Test and refine problems against state-of-the-art AI models
- Collaborate on AI model training and evaluation
- Refine problem designs independently and asynchronously
Requirements summary:
- Graduate-level training in a relevant STEM field
- Proven proficiency with a scientific software library
- Strong Python skills for problem setups and validators
- Ability to work independently in Linux/terminal
- Available 15–20 hours per week
Tools & skills
Source and dates
Source type not verified · manatal
- Employer posting date
- Not provided
- First seen by our source
- 2026-10-18
- Source record updated
- 2026-10-18
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Research & science |
| Hours per week | 17.5 |
| Travel | air: none · ground: none |
| Work setting | Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Master’s degree (required), Doctorate (preferred) |
| Fields of study | Seismology, Geophysics, Computational science, Earth science |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Mercor
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
We connect human expertise with leading AI labs and enterprises to train frontier models.
Full company description
Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.
- LinkedIn followers
- 654,507
- People associated on LinkedIn
- 5,250
- Reported office locations
- San Francisco, California 94105, US
- Business categories
- Employment
- Software
- Recruiting
- Data Collection and Labeling
- Artificial Intelligence (AI)
- Machine Learning
- Other recorded names
- Mercor
- Profile identifies a recruitment agency
- Yes
- Reported total investment
- 483,600,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.
| Field | Value |
|---|---|
| Industry | Software Development |
| Company size | 51-200 employees |
| Headquarters | San Francisco, California |
| Organization type | Privately Held |
| Year founded | 2023 |
| Open jobs on Jobsy | 1,626 |
| View page |
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: 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.
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