• Review learners' AI-assisted code, specs, and governance artifacts — give constructive, specific feedback
• Catch where learners are stuck or falling behind and intervene early
• Run virtual office hours for Q&A and hands-on help
• Evaluate not just "does the code work" but "did the engineer use AI well" — judgment, not just output
• What we need from you:
• Working full-stack software engineer who uses AI coding tools in their daily workflow — specifically tools like Claude Code, GitHub Copilot, or Cursor for tasks like code generation, refactoring, debugging, or test writing (not just autocomplete suggestions)
• Comfortable reviewing someone else's code and giving clear, constructive feedback in a way that's specific and actionable, not just "looks good" or "needs work"
• Reliable and responsive over 12 weeks — consistency matters more than brilliance
• Familiar enough with AI-assisted development to evaluate how engineers work with AI, not just what they produce