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 .
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 .
Solid Python skills for writing problem setups and solution validators.
Ability to work independently in a Linux/terminal setting .
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 settings.
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📌 Computational Seismology Expert Phd Sydney
🏢 Mercor
📍 Sydney
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