Remote Computational Chemist for AI Problem Design

Mercor

San Francisco (CA)

Hybrid

GBP 72,000 - 103,000

Full time

2 days ago
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Job summary

Mercor, a leader in AI talent networks, seeks a Computational Chemistry & Electronic Structure Expert for remote engagement. You will design computational problems, advance multi-step workflows, and test AI models against real scientific software.

The role requires graduate-level STEM training, strong Python skills, PySCF experience, and Linux proficiency. You’ll work 15–20 hours/week, independently, from any location, collaborating with AI teams to evaluate reasoning and problem solving.

Qualifications

  • Graduate-level STEM training (MS, PhD or equivalent research experience).
  • Proven proficiency with scientific software libraries like PySCF.
  • Strong Python skills and ability to write clean, efficient code.
  • Ability to work independently and refine problem designs.
  • Comfortable in a Linux/terminal environment.

Responsibilities

  • Design challenging computational problems to evaluate AI systems using real scientific software.
  • Develop problems requiring strategic planning and execution of complex, multi-step workflows.
  • Refine problems through iterative testing against state-of-the-art AI models to achieve target difficulty.
  • Collaborate with AI research teams to ensure problems test reasoning and strategic thinking.
  • Work independently to design and improve problem setups and solution validators using Python.
  • Operate in a Linux/terminal environment with remote compute sandboxes.

Skills

Graduate-level training
Python
Linux/terminal
Independent work

Education

MS, PhD, or equivalent

Tools

PySCF

Job description

Mercor, a leader in AI talent networks, seeks a Computational Chemistry & Electronic Structure Expert for remote engagement. You will design computational problems, advance multi-step workflows, and test AI models against real scientific software.

The role requires graduate-level STEM training, strong Python skills, PySCF experience, and Linux proficiency. You’ll work 15–20 hours/week, independently, from any location, collaborating with AI teams to evaluate reasoning and problem solving.

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