Quantum Chemist - Fully Remote | Upto $100/Hr

Mercor; San Francisco (CA); Hybrid; GBP 73.000 - 104.000; Teilzeit

Zusammenfassung

Mercor is seeking a Computational Chemistry & Electronic Structure Expert for a remote, contract role with 15–20 hours per week. You will design and evaluate AI-system tests using real scientific software and Python workflows, operating in a Linux environment.

The ideal candidate holds MS/PhD or equivalent research experience, is proficient with PySCF, and can work independently to refine problem designs and validators. Familiarity with Linux is essential.

Qualifikationen

• Graduate-level training in a STEM field (MS/PhD or equivalent).
• Proficiency with scientific libraries like PySCF.
• Strong Python skills and ability to work independently.
• Comfortable in a Linux/terminal environment.

Aufgaben

• 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.

Kenntnisse

Python programming

Independent work

Strong analytical thinking

Graduate-level training

Ausbildung

MS/PhD or equivalent

Tools

PySCF

Linux/Terminal

Jobbeschreibung

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 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.

Qualifications

Must-Have

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

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.

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: [e-mail]

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.