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 AI’s role in improving efficiency across industries and domains Curriculum & Content Development • 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 Hands-on Learning & Tools • 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 Learner Monitoring & Engagement • 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 Collaboration & Quality Assurance • Collaborate with industry experts and Subject Matter Experts (SMEs) to maintain content accuracy and relevance • Support continuous improvement of training strategies and delivery quality Desired Candidate Profile Education & Experience • Bachelor’s 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 Technical Skills & Knowledge • 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 Preferred Qualifications • Certification in AI or related courses