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Career Coach

$50–$100/h

United States

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

About the role

Use your professional experience in realistic conversations for an AI-training project. The work centers on practical situations encountered in this field.

Skills and focus areas

Career Coaching · Career Counseling · Communication · Professional Development

What you will do

  • Guide simulated career discussions and help participants think through professional choices.
  • Develop or verify technical reasoning and computational results, including assumptions and limitations.
  • Share relevant professional experience through the research format described by the client.

Experience and requirements

  • Relevant areas of expertise: Career Coaching, Career Counseling, Communication, Professional Development.
  • The client specifies: “Professional experience as a Career Coach, Career Counselor, Career Advisor, Professional Coach, or similar role.”

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.

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 →