招聘：兼职讲师，使用 AI 编写生产级代码
ByteByteGo 招聘兼职讲师，教授使用 AI 编写生产级代码课程，要求 5 年以上经验并每日使用 AI 编码工具，每两周投入 2-10 小时。
中文处理结果
我们正在招聘一位兼职讲师，教授“**使用 AI 编写生产级代码**”。这是一门面向软件工程师的直播、同期群课程。
这门课程旨在教会工程师如何使用编码代理可靠地交付生产级软件。学生将学习如何将实际工作委派给编码代理、编写代理可执行的规格和计划，以及验证、审查和保护返回的代码。
你将帮助完善课程大纲、主持直播课程、回答学生问题，并分享你自己使用 AI 构建软件的经验教训。初始入职需要一些准备，但之后每两周投入约 2 到 10 小时。这是一个灵活的机会，可配合全职工程岗位。薪酬具有竞争力，并根据经验确定。
如果你符合以下条件，将非常适合：
- 热衷于帮助工程团队避免 AI 生成的劣质代码（AI slop）
- 拥有 5 年以上构建生产系统的专业软件工程经验
- 日常使用 Claude Code、Codex、Cursor 等 AI 编码代理
- 理解编码代理的工作原理，包括规划、工具使用、上下文管理和常见故障模式
- 有将复杂工程问题拆解为 AI 可执行的清晰规格和实现计划的经验
- 大量处理过大型或遗留代码库，并知道如何使其对 AI 友好
- 审查过大量 AI 生成的代码，知道如何验证正确性、发现细微错误、识别安全风险并维持长期代码质量
- 具备扎实的软件工程基础，包括测试、CI/CD、调试、代码审查等
- 喜欢教学
如果你符合条件，请发送邮件至 jobs@bytebytego.com，附上你的背景、你在工程工作流程中使用 AI 的方式，或任何能证明你专业能力的教学、写作或演讲经历。
原始正文摘录
Hiring: Part Time Instructor, Write Production Grade Code with AI
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.