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Product Manager/Product Owner

$90–$140/h

Global

Catalogue update: this role is no longer listed in the current Micro1 catalogue. Browse current AI Training opportunities.

About the role

Use product-management judgment to assess AI-generated writing for users and stakeholders. The assignment focuses on quality evaluation of product-related communication.

Skills and focus areas

Product management · product ownership · specification writing

What you will do

  • Compare specifications, release notes, updates and user-facing text.
  • Assess whether responses follow the request and suit the intended audience.
  • Identify factual errors, misplaced tone or content that sounds polished but misses the need.
  • Explain each score in a clear written rationale.

Experience and requirements

  • Professional product-management or product-owner experience.
  • A strong record writing or reviewing requirements and decision documents.
  • Native-level English and careful analytical reading.

Working arrangements

  • Remote contractor engagement with asynchronous collaboration.

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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 →