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[ARTICLE · art-82027] src=blog.bytebytego.com ↗ pub= topic=ai-tools verified=true sentiment=· neutral

Hiring: Part Time Instructor, Write Production Grade Code with AI

ByteByteGo is hiring a part-time instructor for its live, cohort-based course 'Write Production Grade Code with AI', which teaches software engineers to reliably ship production-grade software using AI coding agents. The role involves refining curriculum, teaching live sessions, and answering student questions, with a commitment of 2 to 10 hours every two weeks and competitive compensation based on experience. Candidates should have 5+ years of professional software engineering experience, daily use of AI coding agents like Claude Code, Codex, or Cursor, and experience reviewing AI-generated code.

read1 min views1 publishedJul 31, 2026
Hiring: Part Time Instructor, Write Production Grade Code with AI
Image: Blog (auto-discovered)

We’re hiring a part-time instructor for “𝐖𝐫𝐢𝐭𝐞 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐆𝐫𝐚𝐝𝐞 𝐂𝐨𝐝𝐞 𝐰𝐢𝐭𝐡 𝐀𝐈”. This is a live, cohort-based course for software engineers.

This course is about teaching engineers how to reliably ship production-grade software with coding agents. Students will learn how to delegate real work to coding agents, write specs and plans that agents can execute, and verify, review, and secure the code that comes back.

You’ll help refine the curriculum, teach live sessions, answer student questions, and share practical lessons from your own experience building software with AI. The initial onboarding requires some preparation, but after that the commitment is approximately 2 to 10 hours every two weeks. This is a flexible opportunity that fits alongside a full time engineering role. Compensation is competitive and based on experience.

You’re a great fit if you:

Are excited about helping engineering teams avoid AI slop

5+ years of professional software engineering experience building production systems

Use AI coding agents such as Claude Code, Codex, Cursor, etc., daily. Understand how coding agents work, including planning, tool use, context management, and common failure modes.

Have experience breaking complex engineering problems into clear specifications and implementation plans that AI can execute

Have worked extensively with large or legacy codebases and know how to make them AI friendly

Have reviewed significant amounts of AI generated code and know how to verify correctness, catch subtle bugs, identify security risks, and maintain long term code quality

Have strong software engineering fundamentals, including testing, CI/CD, debugging, code review, etc.

Enjoy teaching

If this sounds like you, email jobs@bytebytego.com with your background, how you use AI in your engineering workflow, or any teaching, writing, speaking work that demonstrates your expertise.

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