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STEM PhDs and Technical Domain Experts

$60–$120/h

Canada / United States / United Kingdom / Australia

Role overview

Mercor is seeking STEM PhDs and Technical Domain Experts for a premier project with one of the world's top AI labs. This role pays between $60-120/hour.

In this role, you will contribute your subject matter expertise to a cutting-edge project involving state-of-the-art large language models. Specifically, you will help create high-quality data that will inform the future of AI innovation by coming up with difficult problems in your domain.

You're a good fit if you:

- Have a PhD or advanced degree (or equivalent industry experience) in one of the following domains: Medicine / Healthcare, Statistics and Data Science, AI / ML Research, Computer Science, Electrical Engineering, Earth & Environmental Science, Game Development or Mechanical / Aerospace Engineering

- Have high attention to detail

- Have exceptional written and verbal communication skills

- Screening Process: You will need to complete a short interview and task that will take 20-30 mins.
We're currently accepting applicants only from the U.S., UK, AUS, NZ, and Canada.

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Apply today and leverage your leadership and technical expertise to advance cutting-edge AI models!

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Future of work · September 2026

How big is the remote / hybrid opportunity?

Remote work is already huge — but the bigger story may be the hundreds of millions of jobs that could still move beyond geography.

Global remote and hybrid work opportunity infographic

Remote work already connects millions of people with companies they would never have been able to work for a decade ago. But compared with the size of the global labour market, it may still be early.

The interesting number is not only how many people work remotely today — it is how many roles could plausibly become remote or hybrid next.

The chart above starts with roughly 3.3 billion people employed worldwide. Around 300 million jobs are already remote or hybrid, while an additional pool of roughly 250 million roles could potentially move in that direction as technology, workflows and company culture continue to change.

Skills are becoming more portable

This matters because more work can increasingly be matched to expertise rather than location. AI training and evaluation are a good example: companies need lawyers, engineers, designers, editors, researchers, finance professionals and many other specialists to help improve AI systems.

For workers, that creates access to projects outside their local market. For companies, it expands the talent pool from one city or country to the world.

Explore remote opportunities →