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MCP Expert

$60–$120/h

Global

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

About the role

Design software-engineering environments that test an AI agent’s use of MCP tools. The exercises combine real codebase problems with information the agent must obtain from connected servers.

Skills and focus areas

Python3 · JAVA · Rust

What you will do

  • Build reproducible challenges involving bugs, new features, refactoring or performance work.
  • Create reference implementations and checks with deterministic outcomes.
  • Verify that tasks measure both sound engineering and appropriate tool use.

Experience and requirements

  • Strong programming ability in a relevant systems or application language.
  • Practical debugging, algorithmic reasoning and code-maintenance experience.
  • Ability to explain technical decisions and build reliable verification.

Working arrangements

  • Remote work with a flexible schedule, approximately 15 hours weekly.
  • Payment is tied to accepted tasks rather than time spent; submission requirements apply.

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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 →