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Personalized Life Assistant Expert

$50–$200/h

United States

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

About the role

Evaluate whether AI assistants can handle personal tasks in a way that fits real preferences and constraints. The client seeks people who already rely heavily on these tools outside work.

Skills and focus areas

Attention to Detail · Personalized Life Assistant

What you will do

  • Assess multi-step planning, research and everyday decision-support outputs.
  • Explain when advice is useful, incomplete, unsafe or unrealistic.
  • Judge how well the assistant incorporates context and practical trade-offs.

Experience and requirements

  • Substantial personal use of language-model or agent products.
  • Experience handling multi-stage tasks with tools such as ChatGPT, Claude or comparable assistants.
  • Strong written judgment and careful attention to context.

Working arrangements

  • The expected commitment is 20–40 hours per week.

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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 →