Computational Chemistry Expert - PhD - AI Trainer

Mercor
Austin, TX
Job Description
Role Overview

Design challenging computational problems in Computational Chemistry & Electronic Structure using PySCF for quantum chemistry calculations. Develop problems requiring strategic planning for AI to uncover hidden information through simulations and experiments.

What You Will Do

Test and refine problems against state-of-the-art AI models to achieve target difficulty. Collaborate with AI research teams to ensure problems align with real scientific workflows.

Why It Might Be a Fit

Must have graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience). Proven proficiency with scientific software libraries through research publications or professional work.

Requirements

  • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience)
  • Proven proficiency with scientific software libraries through research publications or professional work
  • Strong Python skills for writing problem setups and solution validators
  • Ability to work independently and refine designs based on feedback
  • Comfortable in a Linux/terminal environment with remote compute sandboxes

Benefits

  • Competitive hourly rate ($70–$100/hour)
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