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Product Management Specialist

$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

Turn product-management experience into rigorous written examples for an AI-training project.

Skills and focus areas

Product Management · PRDs & Product Specs · Roadmap Prioritization

What you will do

  • Write and assess product requirements, specifications and strategy documents.
  • Explain roadmap priorities and trade-offs using evidence.
  • Review proposals against user needs and business goals.
  • Apply discovery, metrics and experimentation knowledge to practical scenarios.

Experience and requirements

  • At least three years of hands-on product management with shipped-product ownership.
  • A strong record of writing product and decision documents.
  • Excellent written English and structured analytical reasoning.

Working arrangements

  • Remote contractor work; prior AI experience is not required.

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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 →