Part Time (Contractual) Deep Learning & Gen AI Trainer

Job Title: Deep Learning and Gen AI Trainer (Recorded Course)

Job Type: Freelance / Contract / Part-Time

Job Description:

We are looking for an experienced Deep Learning and Gen AI Trainer to develop and record high-quality educational video lectures for our Data Science and AI course. The trainer should have strong technical knowledge and the ability to explain complex concepts in simple, practical, and easy-to-understand language.

Roles and Responsibilities:

• Develop a structured Deep Learning curriculum suitable for students and beginners.
• Record high-quality video lectures covering fundamental and advanced concepts.
• Explain neural networks, artificial neural networks (ANN), CNN, RNN, LSTM, and Transformers.
• Teach backpropagation, activation functions, loss functions, optimizers, and model training.
• Provide hands-on demonstrations using Python, TensorFlow, and PyTorch.
• Cover practical applications such as image classification, text processing, and predictive modelling.
• Create practical coding examples, assignments, quizzes, and project-based learning materials.
• Ensure all recorded videos are technically accurate, well-organized, and engaging.
• Coordinate with the course team to complete and submit lectures according to the agreed schedule.

Required Skills and Qualifications:

• Strong knowledge of Deep Learning, neural network architectures and Gen AI concepts.
• Proficiency in Python and libraries such as TensorFlow, Keras, or PyTorch.
• Understanding of Machine Learning, mathematics, statistics, and model evaluation.
• Experience in teaching, training, or creating technical educational content.
• Good communication and presentation skills.

Preferred Qualifications:

• Experience creating recorded online courses.
• Experience working on real-world Deep Learning and Gen AI projects.
• Knowledge of GPU-based model training and deployment.

Deliverables:

• Recorded video lectures as per the approved curriculum.
• Source code, notebooks, assignments, and project files.
• Supporting notes or presentations wherever required.

Pay: ₹700.00 per hour

Expected hours: 6.0 – 9.0 per week

Benefits:

• Flexible schedule
• Work from home

Work Location: Remote