Title: Assistant Instructor – Programming & Technology

Location: Gurugram (Hybrid)

Employment Type: Full-Time / Part-Time

Department: Academic Support

Reporting To: Professor of Practice / Lead Instructor

About the Role:

We are seeking a dedicated and highly motivated Assistant Instructor with a strong technical

background to support the delivery of Python programming and related technology courses. The

candidate will work directly with the Professor of Practice/Lead Instructor to ensure a smooth

learning experience for students by providing academic guidance, hands-on support, and

instructional content development. This role is ideal for individuals who are passionate about

teaching and mentoring future tech talent.

Key Responsibilities:

• Assist the lead instructor in planning and conducting Python training sessions,workshops, and lab activities
• Provide one-on-one and group support to students to clarify concepts, debug code, and guide project development
• Create high-quality educational content including lecture notes, assignments, quizzes, and coding exercises
• Support in evaluating student performance through assessments, coding tasks, and project reviews
• Manage doubt-clearing sessions, student discussions, and practice sessions to enhance learning outcomes
• Contribute to the ongoing improvement of course structure, curriculum, and teaching methodologies
• Assist in managing classroom logistics and maintaining academic documentation
• Stay updated with the latest Python trends, tools, and best practices in the tech education space

Required Qualifications & Skills:

• Bachelors or masters degree in computer science, IT, or related field (B.Tech/M.Tech or MCA preferred)
• Minimum 2 years of proven experience in teaching, technical training, or academic content creation
• Strong command over Python programming including core concepts, OOP, file handling, error handling, and modules
• Familiarity with commonly used Python libraries such as NumPy, Pandas, Matplotlib,etc.
• Excellent communication, presentation, and mentoring skills
• Ability to simplify complex technical concepts for learners at different levels
• Proficiency in preparing structured and engaging academic content

Preferred Skills (Good to Have):

• Experience in Python Programming, Data Science, ML fundamentals, or AI tools
• Exposure to Git/GitHub, Jupyter Notebook, VS Code or similar tools
• Experience working with LMS or digital learning platforms
• Ability to support project-based learning and real-world coursework