About the role
AI/ML Instructor – Part-Time
Company: Scaler
Location: Remote, India
Engagement: Part-time, contractual
About the Role
Scaler is looking for experienced AI/ML professionals who are passionate about teaching and can help working professionals strengthen their machine learning skills through structured, practical instruction.
The ideal candidate has strong hands-on AI/ML experience, a solid understanding of machine learning concepts, and the ability to explain complex technical topics clearly and engagingly.
Key Responsibilities
- Conduct live AI/ML classes for working professionals.
- Explain machine learning fundamentals, algorithms, neural networks and deep learning concepts.
- Connect theoretical concepts with practical industry applications.
- Resolve learner doubts and help students build conceptual clarity.
- Deliver sessions using structured course material.
- Maintain high teaching quality and learner engagement.
- Commit consistently to the agreed teaching schedule and responsibilities.
Requirements
- 4+ years of overall professional experience, including at least 2 years of hands-on AI/ML or machine learning-related experience.
- Strong understanding of machine learning fundamentals and practical applications.
- Proficiency in Python and relevant ML libraries or frameworks.
- Ability to explain complex concepts in a simple, structured and engaging manner.
- Strong verbal communication and technical articulation.
- Consistent availability for the required teaching schedule.
- Prior teaching, mentoring or technical training experience is an advantage.
Time Commitment
- Part-time, remote engagement.
- Classes on Monday, Wednesday and Friday, from 9 PM to 12 AM IST.
- Three sessions per week, with each session lasting 3 hours.
- Contract duration: 1 year, with deployment based on the module. Each module typically lasts 4–5 months.
Compensation
Up to ₹20,000 per session, structured as follows:
- ₹8,000 fixed component.
- ₹6,000 variable component based on learner ratings.
- ₹6,000 variable component based on key responsibility areas (KRAs).
Payments are made monthly, with TDS applicable.
Who Should Apply?
Industry professionals with hands-on AI/ML experience who enjoy mentoring others, communicating technical concepts clearly and helping working professionals advance their machine learning skills
No professor or Full time teachers
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