Cybersecurity & AI Engineering Faculty / Trainer (Part-Time, Remote)
Company: Hackerz Institute
Employment Type: Part-Time
Work Mode: Remote / Online
Number of Openings: 2 (Initially 1 for each specialisation)
About the Role
Hackerz Institute is looking for skilled, passionate, and technically proficient professionals to join our team as Faculty / Trainers in Cybersecurity and AI Engineering. The selected candidates will be responsible for delivering structured, practical, and industry-oriented training sessions, helping students develop robust technical foundations and hands-on experience through real-world applications and projects.
We are initially hiring one trainer for each specialisation.
Specialisations & Required Skills
- Cybersecurity Faculty / Trainer
- Cybersecurity fundamentals and information security
- Computer Networking and Network Security
- Linux and Operating Systems
- Ethical Hacking and Penetration Testing
- Vulnerability Assessment
- Security Tools and Practical Labs
- Cryptography and System Security
- AI Engineering Faculty / Trainer
- Python Programming
- Artificial Intelligence and Machine Learning
- Deep Learning Fundamentals
- Generative AI and Large Language Models (LLMs)
- Prompt Engineering
- AI APIs and Frameworks
- AI-powered Application Development
- Practical AI Projects and Implementation
Key Responsibilities
- Conduct live online training sessions.
- Deliver structured and engaging technical lectures.
- Explain complex concepts through practical demonstrations.
- Design assignments, assessments, and hands-on exercises.
- Guide students in developing real-world technical projects.
- Monitor student progress and provide individual mentorship.
- Prepare and maintain course materials according to the syllabus.
- Ensure quality learning outcomes throughout the batch.
Eligibility & Requirements
- Strong technical knowledge in the respective specialisation.
- Practical experience in relevant technologies and tools.
- Ability to explain technical concepts clearly.
- Good communication and presentation skills.
- Teaching, mentoring, or industry experience is an advantage.
- Freshers with exceptional technical knowledge and practical project experience may also apply.
Duration & Working Schedule
- Batch Duration: 6 Months
- Working Hours: 7:00 PM – 8:00 PM IST
- Initial Working Days: 6 Days per Week
- Revised Schedule: 5 Days per Week after completion of 50% of the syllabus.
- Engagement: Part-Time
- Work Mode: Fully Remote / Online
Compensation
₹20,000 – ₹40,000
Compensation will depend on the candidate's skills, technical expertise, and relevant experience.
Interested candidates are requested to send their updated resume directly through LinkedIn DM.
Please mention your preferred specialisation (Cybersecurity or AI Engineering) along with your resume.
We look forward to connecting with talented professionals who are passionate about technology, teaching, and mentoring the next generation of innovators.
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