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Gmail & Google Calendar AI Assistant Evaluator

$15–$30/h

United States only

Role overview

Role Title: Gmail & Google Calendar AI Assistant Evaluator


Role Type: Contractor, Remote


Location: United States only


micro1 is engaging Gmail & Google Calendar AI Assistant Evaluators to collaborate on a customer-driven project enhancing AI assistant quality through real-world task evaluation. In this role, you'll use your everyday experience managing your digital life — email, calendars, bookings, and coordination — to help train and evaluate next-generation AI assistants. Your work will shape how AI models handle the real tasks people delegate every day.


Key Responsibilities:


  1. Complete realistic, everyday digital tasks (emailing, scheduling, booking, coordinating) using AI assistant tools under standardized, repeatable conditions.
  2. Give an AI assistant clear instructions for real-world tasks, then carefully review and verify its work for accuracy and completeness.
  3. Apply detailed grading guidelines to evaluate, rank, and annotate assistant responses, providing structured feedback that improves model performance.
  4. Test scenarios involving email threads, calendar invites, online bookings, and multi-person coordination, ensuring coverage of diverse situations and edge cases.
  5. Utilize AI training tools and platforms to record findings and submit evaluation data in alignment with project standards and milestones.
  6. Collaborate with project trainers and contributors to resolve ambiguities, refine guidelines, and ensure evaluation consistency across the team.
  7. Participate in ongoing quality reviews, incorporating feedback to maintain rigorous evaluation standards.


Required Skills and Qualifications:

  1. Are based in the US, have an iPhone with iMessage, and have a Facebook or Instagram account.
  2. Daily, hands-on use of Gmail and Google Calendar to run your own life: sending emails, accepting invites, scheduling, and rearranging plans.
  3. Regular experience coordinating with others over email or text — setting up meetups, following up on threads, or confirming shared plans and payments.
  4. Comfort booking things online independently, such as restaurants, appointments, travel, or deliveries.
  5. Experience using AI tools for real, practical tasks, with comfort giving an AI assistant instructions and checking its work.
  6. Exceptional attention to detail and accuracy when reviewing AI-generated output.
  7. Strong written communication skills for clear reporting and timely updates on progress and challenges.
  8. Demonstrated time management and self-organization for independent, remote project participation.


Preferred Qualifications:

  1. Prior experience with AI evaluation, data labeling, user testing, or similar feedback-driven projects.
  2. Familiarity with prompt writing and a practical understanding of AI assistant behaviors and limitations.
  3. Experience grading or reviewing AI outputs for accuracy, helpfulness, and safety.

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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 →