AI Faculty – Training

Role Objective

The AI Faculty – Training & Operations will be responsible for delivering high-quality AI training and monitoring the student lifecycle to ensure standardized learning outcomes. The role involves curriculum design, hands-on training, learner engagement, and alignment of AI concepts with real-world industry applications.

Key Responsibilities

Training Delivery

• Deliver engaging classroom and hands-on training sessions on AI fundamentals, applications, and emerging technologies
• Explain AI concepts, tools, and theoretical foundations in a simplified, practical manner
• Demonstrate AIs role in improving efficiency across industries and domains

• Design and develop AI curriculum, learning materials, activities, and projects
• Create industry-aligned, sector-specific AI training modules
• Ensure AI ethics, bias, and responsible AI practices are embedded in all training content

• Conduct workshops using AI tools and platforms such as TensorFlow, OpenAI, and cloud-based AI solutions
• Guide learners on effective usage of AI tools including ChatGPT, Copilot, Perplexity, Gemini, and similar platforms
• Train learners on AI datasets, data collection, cleaning, preprocessing, and annotation

• Track participant progress, engagement, and learning outcomes
• Modify training methods based on learner feedback and varying levels of AI literacy
• Support diverse learning styles to ensure effective knowledge absorption

• Collaborate with industry experts and Subject Matter Experts (SMEs) to maintain content accuracy and relevance
• Support continuous improvement of training strategies and delivery quality

Education & Experience

• Bachelors degree in Computer Science, Data Science, or a related field
• Minimum 1 year of experience in AI training
• Minimum 2 years of hands-on experience working with AI
• Overall 3+ years of training experience

• Proficiency in Python or other machine learning programming languages
• Hands-on experience with AI tools, platforms, and data annotation processes
• Strong understanding of AI ethics and best practices
• Familiarity with machine learning model development and training

• Certification in AI or related courses