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Builders & Developers: Share Your AI Coding Sessions

$200/task

Remote

Role overview

Role Overview

Mercor is partnering with a leading AI research organization to understand how people build with AI coding assistants. We're looking for builders with their own projects, from experienced developers to non-coders who build with AI, to do their normal work in OpenCode, a terminal-based coding assistant, while each session is recorded.

What You'll Do

- Build or improve your own real project using the open-weight and Gemini models we provide

- Choose which model to use for each task, and switch whenever you naturally would

- Use one chat per task

Ideal Qualifications

- Actively building a real project (side project, startup, app, or LLM-powered feature)

- Uses AI tools to build, such as Cursor, Claude Code, Codex, Cline, Replit, or Lovable

- Comfortable following simple terminal setup steps on Mac or Linux

- Professional coding experience is welcome but not required; non-coders who build with AI are encouraged to apply

Project Details

- Remote, flexible schedule

- $200 per accepted session (about 50 turns, typically 2–3 hours of active work)

- Start: immediate

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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 →