Artificial Intelligence & AWS-AI Trainer

Job Description

Job Type: Part-Time (Hourly Basis) Job Summary: We are seeking a highly skilled and motivated AI Trainer with expertise in Artificial Intelligence, Natural Language Processing (NLP) , Generative AI, and AWS AI Services . The trainer will be responsible for delivering structured training sessions to students, helping them gain conceptual and practical knowledge of modern AI concepts and tools. Key Responsibilities: 1. Training Delivery  Design and deliver comprehensive training modules on: o Introduction to AI (history, key concepts, applications, ethics). o AWS AI Services (e.g., Amazon SageMaker, Comprehend, Recognition, Lex, Polly). o Natural Language Processing (NLP) using AWS and open-source libraries. o AI Search Techniques and Rule-Based Systems. o Introduction to Generative AI (foundation models, prompt engineering, LLMs on AWS).  Conduct interactive lectures, hands-on labs, and assessments.  Adapt training delivery to suit learners of varying technical backgrounds. 2. Hands-on Projects and Labs  Guide learners through real-world projects using: o AWS AI/ML tools (e.g., SageMaker, Bedrock, Amazon Kendra). o NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers). o Search and rule-based AI techniques.  Support practical implementation and debugging of projects . Required Qualifications: Bachelor's or master’s degree in computer science, Data Science, or related field. Experience: Proven experience (2–5 years) in teaching or working with: o AI and ML frameworks o AWS cloud services o NLP and Generative AI tools  Certification in AWS (e.g., AWS Certified Machine Learning – Specialty) is a big plus. Technical Skills:  Proficient in Python and related libraries (NumPy, Pandas, scikit-learn, etc.)  Strong understanding of NLP (tokenization, entity recognition, sentiment analysis)  Familiarity with rule-based systems and AI search algorithms (DFS, BFS, A* etc.)  Experience with LLMs, prompt engineering, and tools like Amazon Bedrock  Cloud experience on AWS AI/ML stack including: o Amazon SageMaker o AWS Comprehend o Amazon Lex and Polly o AWS Bedrock (for generative AI) Desirable:  Prior experience in educational institutions or corporate training  Contribution to open-source or AI research  Knowledge of ethical AI, fairness, and bias mitigation techniques