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CRM Operations Specialist

$28–$92/h

Global

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

About the role

Use hands-on CRM operations experience to assess AI advice about sales workflows, automation and customer data.

Skills and focus areas

CRM · sales · Salesforce

What you will do

  • Evaluate generated recommendations against real operational practice.
  • Review CRM records and interactions using project scoring criteria.
  • Flag ambiguous cases and document process problems.
  • Supply realistic examples and actionable written feedback.

Experience and requirements

  • At least three years in CRM or sales operations, including two years directly using CRM platforms.
  • Strong expertise in Salesforce, HubSpot or a comparable system.
  • Experience improving processes, automations and data integrity.
  • English at B2 level or above; paid AI-evaluation experience is advantageous but optional.

Working arrangements

  • Remote contractor role with reliable internet and prompt availability requested.

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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 →