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Project Coordinator

$45–$55/h

United States

Catalogue update: this role is no longer listed in the current Mercor catalogue. Browse current AI Training opportunities.

About the role

Coordinate the operational work behind AI data projects, connecting programme leads with domain experts.

Skills and focus areas

Google Sheets · Excel · Project Management · SQL · Compliance · Origin

What you will do

  • Translate leadership input into practical guidelines.
  • Support onboarding, track deliverables and follow up actions from team reviews.
  • Investigate quality issues and help resolve blockers.

Experience and requirements

  • US residence and at least three years coordinating or managing projects.
  • Hands-on AI training-data experience, strong spreadsheet/data skills and some coding knowledge.
  • Ability to lead cross-functional groups; a STEM background is preferred.

Working arrangements

  • W-2 employment through Cincinnatus LLC, with placement at the client laboratory.

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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 →