AI Automations Instructor (Part Time)

Company: Edversity (Rapidev Group of Companies)
Mode: Online


About Edversity
Edversity is an EdTech company operating under the Rapidev Group of Companies. We build practical, industry-aligned learning programs that help graduates and professionals gain job-ready skills in emerging technologies.
About the Program
The AI Automations program is an intensive, hands-on weekend course. Over four weeks, learners move from automation fundamentals to building and deploying AI-powered workflows and agents for real business use cases. Each learner finishes with a capstone automation project they can show to employers or use in their own work.
Role Summary
The Lead Instructor will own the delivery of the AI Automations program from start to finish. This includes finalizing the curriculum, teaching every weekend session, guiding learners through hands-on labs, and evaluating their capstone projects. We are looking for a practitioner who has built real automations in production and can explain them clearly to both fresh graduates and experienced professionals.
Key Responsibilities
Curriculum and content

• Finalize the curriculum, weekly learning outcomes and session plans in coordination with the Edversity academic team.
• Prepare slides, demo workflows, lab exercises, templates and reference material for every session.
• Design real-world use cases across HR, sales, marketing, operations, customer support and finance.
• Keep content current with the latest AI tools, model updates and automation practices.
  
  

Teaching and delivery

• Deliver all Saturday and Sunday sessions for the full program duration, on time and as scheduled.
• Teach automation fundamentals: triggers, actions, APIs, webhooks, JSON and data mapping.
• Demonstrate building workflows with no-code and low-code platforms such as n8n, Make and Zapier.
• Teach prompt engineering and how to integrate LLMs (OpenAI, Claude, Gemini) into workflows.
• Guide learners in building AI agents, chatbots and RAG-based assistants connected to business tools.
• Run live, hands-on labs and adapt the pace for both beginners and experienced professionals.
  
  

Learner support and assessment

• Supervise a capstone project in which each learner automates a real business process end to end.
• Design and grade weekly assignments, quizzes and the final project against clear rubrics.
• Answer learner questions during sessions and through the program's communication channel between weekends.
• Track attendance, progress and engagement, and flag learners who need extra support.
  
  

Program quality and coordination

• Coordinate with the Edversity program team on scheduling, learner communication and logistics.
• Ensure lab environments, tool accounts and API access are ready before each session.
• Promote responsible AI use, including data privacy, security of credentials and human review of AI output.
• Share a short end-of-program report on learner outcomes and suggestions for improving the next cohort.
  
  

Tools and Software
The instructor must be hands-on with the core tools below and able to teach them live.

• Workflow automation platforms: n8n, Make (Integromat), Zapier. Expert in at least two; n8n strongly preferred.
• Large language models: OpenAI (ChatGPT / API), Anthropic Claude, Google Gemini. Strong working knowledge.
• AI agents and LLM frameworks: LangChain or LangGraph, OpenAI Assistants / agents, CrewAI. Working knowledge.
• Microsoft ecosystem: Power Automate, Copilot Studio. Good to have.
• RAG and vector databases: Pinecone, Supabase (pgvector), Chroma. Working knowledge.
• Business apps and data: Google Workspace (Sheets, Gmail, Drive), Airtable, Notion, Slack, HubSpot. Strong working knowledge.
• Chatbots and messaging: WhatsApp Business API, Telegram bots, website chat widgets. Working knowledge.
• APIs and integration: REST APIs, webhooks, JSON, Postman. Strong working knowledge.
• Programming: Python, basic JavaScript (for code nodes). Working knowledge.
• Voice and content AI: ElevenLabs, Whisper, image-generation APIs. Good to have.
• Hosting and deployment: n8n self-hosting with Docker, cloud VPS basics. Good to have.
  
  

Qualifications and Experience

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, AI or a related field.
• At least 3 years of hands-on experience building automations, integrations or AI solutions for real businesses.
• A portfolio of at least 3 live automation or AI-agent projects (links, demos or case studies).
• At least 1 year of teaching, training, mentoring or corporate workshop experience.
• Availability on all Saturdays and Sundays for the full 4-week program.
  
  

Required Skills

• Deep, practical command of n8n, Make and/or Zapier, including complex multi-step workflows.
• Strong understanding of APIs, webhooks, authentication (API keys, OAuth) and data transformation.
• Solid prompt engineering skills and experience integrating LLMs into business processes.
• Experience building AI agents, chatbots or RAG systems.
• Working knowledge of Python for custom logic and data handling.
• Excellent communication and presentation skills in English and Urdu.
• Ability to break down technical concepts for non-technical professionals.
  
  

Good to Have

• Certifications in n8n, Make, Zapier, Microsoft Power Platform, AWS, Azure or Google Cloud AI.
• Experience as a freelancer or agency owner delivering automation projects to clients.
• Experience designing courses or bootcamps for professionals.
• Familiarity with automation for HR, sales, marketing and customer support use cases.
  
  

Compensation and Schedule

• Compensation: Hourly rate, per contact hour, based on experience and expertise.
• Payment: Calculated on teaching hours delivered and paid at the end of the program (or as per the contract).
• Schedule: Saturdays and Sundays only
• Engagement: Contractual, for this program cohort; renewal for future cohorts based on performance and learner feedback.
  
  

What We Offer

• Competitive hourly compensation.
• The opportunity to shape Edversity's AI Automations program from its first cohort.
• Exposure to a motivated audience of graduates and industry professionals.
• Potential for long-term engagement in future cohorts and new AI programs.