Job Description
We’re Hiring | Part-Time AI & Machine Learning Instructor (Remote)
Company: Bexomi Technologies Private Limited
Location: Remote
Job Type: Part-Time | Per-Lecture Payout
Positions Available: 1
About Bexomi Technologies
Bexomi Technologies Private Limited is a forward-thinking predictive cybersecurity company working toward building the world’s first Digital Immune System for Smart Cities. We specialize in securing Io T ecosystems using advanced technologies such as Digital Twins, AI-driven anomaly detection, Blockchain-based logs, and Smart Contracts. Headquartered in Indore, we are committed to innovation, automation, and proactive cybersecurity solutions.
Role Overview
We are looking for a passionate and skilled AI & Machine Learning Instructor to join us on a part-time, remote basis. This role is ideal for professionals who enjoy teaching and sharing practical knowledge in Artificial Intelligence and Machine Learning.
Key Responsibilities
- Design and deliver structured lectures on AI & Machine Learning concepts
- Prepare lesson plans and learning materials suitable for diverse learners
- Conduct live or virtual training sessions
- Evaluate learner performance and provide constructive feedback
- Stay updated with the latest trends and advancements in AI/ML to keep content industry-relevant
Required Qualifications
- Strong skills in lesson planning and curriculum development
- Excellent teaching, communication, and presentation abilities
- Ability to explain complex AI/ML concepts in a simple, engaging manner
- Sound analytical and problem-solving mindset
- Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
- Master’s degree or relevant AI/ML certifications will be an added advantage
Compensation & Benefits
- Payment: Per lecture (negotiable based on experience)
- Work Mode: Fully remote
- Government benefits: Optional (as applicable)
- Flexible schedule, ideal for working professionals and educators
How to Apply
- Email your profile/CV to
- CC:
- Or apply directly via Linked In
Company: Bexomi Technologies Private Limited
Location: Remote
Job Type: Part-Time | Per-Lecture Payout
Positions Available: 1
About Bexomi Technologies
Bexomi Technologies Private Limited is a forward-thinking predictive cybersecurity company working toward building the world’s first Digital Immune System for Smart Cities. We specialize in securing Io T ecosystems using advanced technologies such as Digital Twins, AI-driven anomaly detection, Blockchain-based logs, and Smart Contracts. Headquartered in Indore, we are committed to innovation, automation, and proactive cybersecurity solutions.
Role Overview
We are looking for a passionate and skilled AI & Machine Learning Instructor to join us on a part-time, remote basis. This role is ideal for professionals who enjoy teaching and sharing practical knowledge in Artificial Intelligence and Machine Learning.
Key Responsibilities
- Design and deliver structured lectures on AI & Machine Learning concepts
- Prepare lesson plans and learning materials suitable for diverse learners
- Conduct live or virtual training sessions
- Evaluate learner performance and provide constructive feedback
- Stay updated with the latest trends and advancements in AI/ML to keep content industry-relevant
Required Qualifications
- Strong skills in lesson planning and curriculum development
- Excellent teaching, communication, and presentation abilities
- Ability to explain complex AI/ML concepts in a simple, engaging manner
- Sound analytical and problem-solving mindset
- Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
- Master’s degree or relevant AI/ML certifications will be an added advantage
Compensation & Benefits
- Payment: Per lecture (negotiable based on experience)
- Work Mode: Fully remote
- Government benefits: Optional (as applicable)
- Flexible schedule, ideal for working professionals and educators
How to Apply
- Email your profile/CV to
- CC:
- Or apply directly via Linked In
Apply for this Position
Ready to join ? Click the button below to submit your application.
Submit Application