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Technical Writer/Editor

$90–$140/h

Canada / United Kingdom / United States

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

About the role

Apply technical-writing and editing judgment to AI-generated instructional content. The project evaluates whether answers are clear, useful and appropriate to the request.

Skills and focus areas

Technical writing · content evaluation · written communication

What you will do

  • Compare alternative responses and assess tone, coherence and instruction-following.
  • Identify subtle quality differences and missed audience needs.
  • Write well-supported explanations for scores.
  • Coordinate review standards with other contributors.

Experience and requirements

  • Native-level English and professional technical-writing, editing or evaluation experience.
  • Ability to assess both technical clarity and communicative effectiveness.
  • Careful documentation and comfort using digital review tools.

Working arrangements

  • Contractor opportunity for applicants in the US, Canada or UK.

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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 →