Have you ever wondered how artificial intelligence actually grasps complex physical universes? At Mercor, we are building the bridge between elite scientific minds and leading AI research labs backed by Silicon Valley pioneers. We are currently looking for a Quantum Mechanics Expert with a Physics PhD to help teach the next generation of large language models how to think like true physicists. This is an incredible chance to shape the future of machine learning from your home office, no matter where you live in the world.
Overview
Mercor connects top tier technical talent with groundbreaking artificial intelligence projects. We need sharp doctoral graduates who can translate advanced physical concepts into rigorous data for cutting edge models. You will work on a flexible contract basis that easily fits around your existing research or teaching schedule.
Key Responsibilities
- Design challenging problems spanning Statistical Mechanics, Condensed Matter, AMO Physics, and related subdomains.
- Partner directly with advanced AI research labs to shape state of the art language models.
- Generate premium quality training data that drives the next wave of artificial intelligence innovation.
- Maintain rigorous standards for data accuracy and scientific relevance.
- Manage your own hours and execute tasks independently with async deadlines.
Requirements
- Must hold a completed PhD in Physics.
- Graduate degree earned from an institution in the US, UK, Canada, or Western Europe.
- Exceptional written and verbal communication skills in English.
- A meticulous eye for detail and a passion for technology.
What You'll Gain
You will earn eighty five dollars per hour while working flexibly on a remote basis. This role gives you a front row seat to the artificial intelligence revolution, allowing you to apply your doctoral expertise to frontier technology alongside world class researchers.
How to Apply
Click the apply button below to view the full job details and submit your application directly through the employer's official page.

