

Stackle
AI Instructor
β - 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.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
October 24, 2025
π - Duration
Unknown
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
United States
-
π§ - 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 worldβs best data and AI engineers teach the next generation β inside real, cloud-based sandboxes (no setup required).
Weβre on a mission to make advanced tech education hands-on, mentor-led, and job-ready.
Role Overview
Weβre seeking experienced AI Instructors / Tutors who can design and deliver practical lessons, projects, or cohorts focused on AI, Data Engineering, and LLM applications.
Youβll teach through interactive sandboxes β where students can code, build, and deploy in real environments (Python, SQL, LangChain, Tableau, etc.).
What Youβll 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 Stackleβs content and sandbox teams to enhance the learning experience
β’ Share insights, mini-videos, or articles that reach thousands of learners
What Weβre Looking For
β
2+ years of experience in AI / Data Engineering / ML
β
Prior teaching, mentoring, or content-creation experience (YouTube, bootcamps, internal training, etc.)
β
Strong communication β can explain complex topics simply
β
Familiarity with modern AI frameworks and APIs
β
Bonus: experience with cloud tools (AWS, Azure, GCP)
Perks & Pay
π° Revenue share per learner or per cohort (70β80% of course fees)
π» Done-for-you sandbox setup β no technical overhead
π Global reach β teach once, reach thousands
π― Flexible hours β record or go live at your own pace
π Featured as a βTop 1% Instructorβ on Stackle
Include links to your GitHub, LinkedIn, or any course content youβve produced.
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 worldβs best data and AI engineers teach the next generation β inside real, cloud-based sandboxes (no setup required).
Weβre on a mission to make advanced tech education hands-on, mentor-led, and job-ready.
Role Overview
Weβre seeking experienced AI Instructors / Tutors who can design and deliver practical lessons, projects, or cohorts focused on AI, Data Engineering, and LLM applications.
Youβll teach through interactive sandboxes β where students can code, build, and deploy in real environments (Python, SQL, LangChain, Tableau, etc.).
What Youβll 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 Stackleβs content and sandbox teams to enhance the learning experience
β’ Share insights, mini-videos, or articles that reach thousands of learners
What Weβre Looking For
β
2+ years of experience in AI / Data Engineering / ML
β
Prior teaching, mentoring, or content-creation experience (YouTube, bootcamps, internal training, etc.)
β
Strong communication β can explain complex topics simply
β
Familiarity with modern AI frameworks and APIs
β
Bonus: experience with cloud tools (AWS, Azure, GCP)
Perks & Pay
π° Revenue share per learner or per cohort (70β80% of course fees)
π» Done-for-you sandbox setup β no technical overhead
π Global reach β teach once, reach thousands
π― Flexible hours β record or go live at your own pace
π Featured as a βTop 1% Instructorβ on Stackle
Include links to your GitHub, LinkedIn, or any course content youβve produced.





