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 Tensor Flow, 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