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AI Developer Trace Task Auditor

$70–$90/h

United States

Role overview

Evaluate the quality and correctness of AI-assisted software-development traces used to train and evaluate a frontier AI lab's models. You'll assess end-to-end coding sessions produced with AI-assisted developer tools — judging correctness, workflow soundness, and reasoning — and provide clear, rubric-based written feedback.

Basic Qualifications
• 3+ years professional software development
• Hands-on experience with AI-assisted coding tools and agentic / spec-driven workflows (Cursor, GitHub Copilot, Claude Code, or similar)
• Strong code-reading and debugging skills across full-stack or backend systems
• Ability to evaluate multi-step coding trajectories for correctness and best practice

Preferred Qualifications
• Experience with Kiro or Amazon CodeCatalyst
• Prior work evaluating or grading AI-generated code
• Contributions to developer tooling

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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 →