Stackle

AI Instructor

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Instructor (Freelance, Part-time, Remote/Hybrid) requiring 2+ years in AI/Data Engineering/ML, teaching experience, and strong communication skills. Pay is revenue share per learner (70-80%). Familiarity with cloud tools is a bonus.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
October 24, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#API (Application Programming Interface) #Data Engineering #AWS (Amazon Web Services) #Langchain #Databases #Python #PyTorch #GitHub #TensorFlow #ML (Machine Learning) #Cloud #AI (Artificial Intelligence) #Azure #Visualization #SQL (Structured Query Language) #GCP (Google Cloud Platform) #Data Pipeline #Tableau
Role description
Job Title: AI Instructor / Tutor (Freelance or Cohort-Based)Location: Remote / Hybrid (Flexible) Type: Part-time, Contract Company: Stackle β€” 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 β€” 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 β€” where students can code, build, and deploy in real environments (Python, SQL, LangChain, Tableau, etc.). What You’ll Do β€’ Teach or record short, project-based lessons in areas like: β€’ Python for AI / Data Engineering β€’ Machine Learning (scikit-learn, TensorFlow, PyTorch) β€’ LangChain, OpenAI, Anthropic API integration β€’ RAG, vector databases (Pinecone, Chroma, FAISS) β€’ Data pipelines, SQL, and visualization tools β€’ Host live or cohort-based sessions (optional) β€’ Mentor learners through Q&A or async feedback β€’ Collaborate with Stackle’s content and sandbox teams to enhance the learning experience β€’ Share insights, mini-videos, or articles that reach thousands of learners What We’re Looking For βœ… 2+ years of experience in AI / Data Engineering / ML βœ… Prior teaching, mentoring, or content-creation experience (YouTube, bootcamps, internal training, etc.) βœ… Strong communication β€” can explain complex topics simply βœ… Familiarity with modern AI frameworks and APIs βœ… Bonus: experience with cloud tools (AWS, Azure, GCP) Perks & Pay πŸ’° Revenue share per learner or per cohort (70–80% of course fees) πŸ’» Done-for-you sandbox setup β€” no technical overhead 🌍 Global reach β€” teach once, reach thousands 🎯 Flexible hours β€” record or go live at your own pace πŸŽ“ Featured as a β€œTop 1% Instructor” on Stackle Include links to your GitHub, LinkedIn, or any course content you’ve produced.