Job Description
Type: Part-Time Instructor
Expected Hours: 2 hours per week
Commercials: ₹600 – ₹800
Job Description:
We are seeking a highly experienced AI & Machine Learning Instructor with strong expertise in Decentralized Autonomous AI Systems. The instructor will be responsible for delivering both theory and lab sessions based on pre-defined and provided course materials.
This role is focused purely on instruction, explanation, and practical demonstration-no course content creation or modification is required.
Key Responsibilities:
• Deliver theory sessions covering Blockchain, Multi-Agent Intelligence, and Decentralized AI concepts
• Conduct hands-on lab sessions using provided tools, datasets, and lab guides
• Explain real-world applications of DAOs, smart contracts, and autonomous agent systems
• Guide students during labs, troubleshooting and clarifying concepts as needed
• Ensure effective learning outcomes by maintaining session quality and engagement
• Follow institutional guidelines, safeguarding, and professional conduct standards
Required Skills & Qualifications:
• 6–7+ years of hands-on experience in Blockchain, Agentic AI, or Decentralized Systems
• Strong understanding of Multi-Agent Systems and Autonomous AI architectures
• Practical experience with Blockchain platforms, Smart Contracts, and Web3 ecosystems
• Proficiency in Python, Solidity, and/or JavaScript
• Experience delivering technical training, workshops, or academic sessions
• Strong communication and classroom/lab management skills
Job Type: Part-time
Experience:
Total work: 2 years (Required)
Work Location: Remote
Job Type: Part-time
Work Location: Remote
💡 Quick Summary
Seeking a career-building opportunity? The Part-Time AI & Machine Learning Instructor position is now open for candidates interested in the Data Entry Jobs sector. This role in New Delhi offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Data Entry Jobs is a plus.
