AI Educator

Job Summary

The AI Educator explores emerging AI tools daily, tests complex workflows, and turns them into high-quality educational content. Core responsibilities include writing scripts, filming on-camera video tutorials, hosting live community office hours, building structured workshop curriculums, and providing constructive feedback on student projects within the AI University campus ecosystem.

Foundational Creative & Technical Prerequisites

• AI Infatuation: A deep passion for generative artificial intelligence, evidenced by actively using, testing, and experimenting with modern AI tools and models every single day.
• On-Camera Charisma: Complete confidence recording engaging on-camera content, with a proven ability to present ideas clearly, maintain high energy, and connect naturally with an online audience.
• Content Production Autonomy: Proven ability to independently research a technical topic, write an engaging script, and record high-quality raw video tutorials with clean audio setups.
• Communication Articulation: Elite verbal and written communication skills, with a natural talent for breaking down complex technical parameters or multi-step logic into simple, scannable, and actionable insights.
• Agile Workflow Habits: A self-driven, highly proactive approach to work, with the discipline to consistently deliver high-quality video content on time in a fast-paced media environment.
• Generalist or Specialist Openness: We welcome broad AI generalists who can cover a wide range of everyday tools, as well as deep specialists focused on specific domains like AI automation, advanced prompt engineering, design, or development.

Preferred Technical Multipliers & Desirable Backgrounds

• Educational Foundation: Prior experience teaching, coaching, mentoring, or creating structured instructional content (e.g., building online courses, writing documentation, tutoring).
• Event Presentation: Experience hosting live digital events, webinars, workshops, interactive Q&A sessions, or large community calls.
• Established Digital Footprint: An active personal brand or public presence across platforms like YouTube, LinkedIn, X (Twitter), or TikTok focused on AI tools and technical tutorials.
• Practical Business Workflows: A strong background building and deploying practical AI workflows to optimize workflows across business operations, coding, graphic design, growth marketing, or project management.

Key Responsibilities

1. Tool R&D & Practical Workflow Engineering (35%)

• Explore the AI Landscape: Dive into the AI ecosystem daily, running hands-on tests on new models, updates, and open-source plugins to separate genuine utility from marketing hype.
• Build Practical Workflows: Design, build, and refine real-world automation pipelines and prompt chains that users can immediately adopt to save time or optimize business tasks.
• Blueprint Learning Curriculums: Turn successful workflows into actionable blueprints, structured step-by-step guides, and practical assets for our community database.

2. Video Content Production & Scripting (35%)

• Script Engaging Lessons: Write clear, high-retention scripts for video tutorials, ensuring complex tools are introduced with strong hooks and logical progress pathways.
• Record High-Impact Tutorials: Film clean, professional on-camera lessons and screen-recordings, demonstrating tool interactions smoothly (with full backend editing team support).
• Maintain Content Velocity: Consistently ship high-quality educational assets on tight deadlines, keeping the AI University library aligned with real-time industry updates.

3. Community Engagement & Live Instruction (20%)

• Host Live Group Sessions: Lead interactive live office hours, tool deep-dives, and platform webinars, creating a welcoming space where members can ask questions live.
• Deliver Actionable Student Feedback: Review user-submitted projects and workflows, providing thoughtful, personalized advice to help students master complex techniques.
• Moderate Learning Channels: Answer ongoing member questions within our community chat groups, driving continuous learning and engagement.

4. Curriculum Strategy & Collaborative Innovation (10%)

• Design New Courses: Brainstorm with the educational team to turn new AI breakthroughs into comprehensive core courses, intensive multi-day workshops, and targeted study paths.

Skills Required:

• Computer / Software / It / Data