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Job Description & How to Apply Below
Buddy | Performance-Based → Full-Time Opportunity
GenZCoder
Buddy is looking for skilled and passionate instructors who can teach practical, industry-relevant skills in Coding, AI, GenAI, and emerging technologies .
This role starts on a batch-based compensation model , with the opportunity to transition into a full-time position after successfully completing 2–3 batches and demonstrating strong teaching performance.
⭐ Perform well, prove yourself, and grow into a full-time role with competitive compensation and benefits.
What You'll Do Conduct live online classes for assigned student batches.
Teach practical concepts in Coding, AI, GenAI, and related technologies.
Explain complex technical concepts in a simple and structured manner.
Conduct hands-on coding exercises, projects, and demonstrations.
Guide students through real-world projects.
Resolve student doubts and provide technical guidance.
Track student progress and provide constructive feedback.
Maintain a high-quality learning experience for every student.
Follow the curriculum while bringing your own practical industry experience into the classroom.
Areas We're Hiring For We're particularly interested in instructors with expertise in:
Python
Generative AI & LLMs
Prompt Engineering
AI APIs & SDKs
RAG
AI Agents
AI Automation
Machine Learning
Web Development
Backend Development
APIs & Integrations
Data Science
Cloud & Deployment
Other emerging technology areas
You don't need to be an expert in everything. Strong expertise in one or more areas is enough.
Work Commitment Days: Monday – Friday
Minimum commitment: 4 hours per day
Mode: Remote / Online
This is a regular teaching commitment , not an occasional teaching assignment. Please apply only if you can consistently commit to the required schedule.
Initial Compensation During the initial phase, instructors are paid per batch based on the number of students .
Your compensation will depend on the assigned batch and student count.
This allows both you and GenZCoder
Buddy to evaluate the working relationship and teaching quality before moving into a long-term role.
Path to Full-Time Perform → Prove → Grow After successfully completing 2–3 batches , instructors who demonstrate:
Strong teaching performance
Consistent attendance and commitment
Good student feedback
Strong technical knowledge
Ability to keep students engaged
Professionalism and ownership
may be offered a full-time position with GenZCoder
Buddy .
Full-Time Benefits Successful candidates transitioning to full-time can expect:
Competitive fixed compensation
Employee benefits
Long-term career growth
Increased responsibilities and opportunities
Potential progression into Senior Instructor / Lead Instructor / Technical Mentor roles
Full-time conversion is performance-based and is not automatic.
Who We're Looking For Strong technical expertise in your area.
Excellent communication and teaching skills.
Ability to simplify complex concepts.
Comfortable teaching 4+ hours per day, Monday–Friday .
Strong problem-solving and debugging skills.
Practical, hands-on approach to teaching.
Reliable, professional, and committed.
Passionate about helping students learn and build real-world skills.
Experience We welcome:
Software Developers / Engineers
AI/ML Engineers
GenAI Professionals
Data Scientists
Technical Educators
Industry Professionals
Experienced Trainers
Freelance Developers
Prior teaching experience is preferred, but strong technical expertise and communication skills can also be considered.
Role Summary Position: Instructor — Coding, AI & GenAI
Company: GenZCoder Buddy
Work Mode: Remote
Schedule:
Monday–Friday
Minimum
Hours:
4 hours/day
Initial Compensation: Per batch, based on student count
Potential Conversion: Full-time after 2–3 successful batches
Full-Time: Competitive compensation + benefits
This is more than a teaching gig. Start by teaching batches, prove your capabilities, and build your career with GenZCoder
Buddy.
If you're confident in your technical skills, communication, and ability to teach consistently, apply now.
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