Geophysics Specialist - Fully Remote | Upto $85/hr

mercor; San Francisco (CA); Hybrid; AUD 138.000 - 168.000; Teilzeit

Zusammenfassung

Mercor connects elite creative and technical talent with leading AI research labs. This remote, contract opening seeks a Computational Seismology & Geophysics Expert to design and test AI-driven problems.

You will work 15–20 hours per week, using Python in Linux to create multi-step workflows, evaluate AI models, and refine tasks. Prior graduate-level STEM training and experience with scientific software libraries are required.

Qualifikationen

• Graduate-level training in a relevant STEM field (MS, PhD, or equivalent).
• Proficiency with at least one scientific software library.
• 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.

Aufgaben

• Design challenging computational problems using scientific software to test AI capabilities.
• Develop problems requiring AI to compute exact answers from complex, multi-step workflows.
• Create tasks where AI must strategically plan queries or experiments to uncover hidden information.
• Refine problems through testing loops against state-of-the-art AI models to achieve target difficulty.
• Work independently and asynchronously to refine problem designs based on feedback.

Ausbildung

MS/PhD in STEM

Tools

NumPy

SciPy

Jobbeschreibung

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 using scientific software to test AI capabilities.
• Develop problems requiring AI to compute exact answers from complex, multi-step workflows.
• Create tasks where AI must strategically plan queries or experiments to uncover hidden information.
• Refine problems through testing loops against state-of-the-art AI models to achieve target difficulty.
• 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 of the listed scientific software libraries .
• 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.