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Software Engineer

$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 software-engineering expertise to judge AI-generated technical communication. The assignment centers on reviewing answers rather than delivering software features.

Skills and focus areas

Software engineering · technical documentation · code review

What you will do

  • Compare explanations, instructions, comments and technical documentation produced by models.
  • Score factual soundness, audience suitability and communicative clarity.
  • Spot convincing language that hides technical errors, or correct answers that remain unhelpful.
  • Write evidence-based rationales for your ratings.

Experience and requirements

  • Professional engineering knowledge and strong analytical reading.
  • Ability to explain subtle technical or communication problems in writing.
  • Previous AI-evaluation work is helpful but not essential.

Working arrangements

  • Remote contractor engagement.

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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 →