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College Student – AI Robotics Trainer (No Experience Required)

$10–$20/h

On-site, San Francisco

Catalogue update: this role is no longer listed in the current micro1 catalogue. Browse current AI Training opportunities.

About the role

Bring your robotics experience to this College Student – AI Robotics Trainer (No Experience Required) opportunity.

Skills and focus areas

fine motor control · attention to detail · ability to follow instructions exactly · comfort with repetitive tasks · hands-on work · Physical stamina · reliabilitty and punctuality · quick to learn basic software · clear communication

What you will do

  • Perform prescribed physical tasks with the project equipment to capture robotics data.

Experience and requirements

  • Relevant areas of expertise: fine motor control, attention to detail, ability to follow instructions exactly, comfort with repetitive tasks.
  • The client specifies: “Demonstrated ability in tasks requiring fine motor skills, dexterity, and precision handling of objects.”

Working arrangements

  • The engagement is offered on a contractor basis.

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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.

Sporterer Insights · Approximate figures based on World Bank and ILO estimates
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 →