AI Instructor

💼 Job Title : AI Instructor / Tutor (Freelance or Cohort-Based)

Location : Remote / Hybrid (Flexible)

Type : Part-time, Contract

Company : Stackle — Learn from the Top 1% Engineers

About Stackle

Stackle is an education and talent platform where the world’s best data and AI engineers teach the next generation — inside real, cloud-based sandboxes (no setup required).

We’re on a mission to make advanced tech education hands-on, mentor-led, and job-ready.

Role Overview

We’re seeking experienced AI Instructors / Tutors who can design and deliver practical lessons, projects, or cohorts focused on AI, Data Engineering, and LLM applications.

You’ll teach through interactive sandboxes — where students can code, build, and deploy in real environments (Python, SQL, LangChain, Tableau, etc.).

What You’ll Do

• Teach or record short, project-based lessons in areas like :
• Python for AI / Data Engineering
• Machine Learning (scikit-learn, TensorFlow, PyTorch)
• LangChain, OpenAI, Anthropic API integration
• RAG, vector databases (Pinecone, Chroma, FAISS)
• Data pipelines, SQL, and visualization tools
• Host live or cohort-based sessions (optional)
• Mentor learners through Q&A or async feedback
• Collaborate with Stackle’s content and sandbox teams to enhance the learning experience
• Share insights, mini-videos, or articles that reach thousands of learners

What We’re Looking For

✅ 2+ years of experience in AI / Data Engineering / ML

✅ Prior teaching, mentoring, or content-creation experience (YouTube, bootcamps, internal training, etc.)

✅ Strong communication — can explain complex topics simply

✅ Familiarity with modern AI frameworks and APIs

✅ Bonus : experience with cloud tools (AWS, Azure, GCP)

Perks & Pay

💰 Revenue share per learner or per cohort (70–80% of course fees)

💻 Done-for-you sandbox setup — no technical overhead

🌍 Global reach — teach once, reach thousands

🎯 Flexible hours — record or go live at your own pace

🎓 Featured as a “Top 1% Instructor” on Stackle

Include links to your GitHub, LinkedIn, or any course content you’ve produced.