Mercor
Computational Chemistry Expert - PhD - AI Trainer
Skills
2 months ago
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Important information
Contract type:
Part time
Location:
Austin, TX, USA
Work mode:
Remote
Published on:
15 August 2026
What they need
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 Chemistry & Electronic Structure Expert
Type: Contract Compensation: $70–$100/hour Location: Remote Commitment: 15–20 hours/week Role Responsibilities
- 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.
- 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.
- Work independently to create problems that challenge AI reasoning beyond surface-level pattern matching.
Qualifications 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.
- 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.
Preferred
- Experience across multiple 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. #hiringmercor
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