AI Trainer

AI Trainer

Role Overview: We are seeking a passionate and experienced AI Trainer to deliver foundational to intermediate-level AI and Python training as part of the Women in AI Initiative. The trainer will be responsible for mentoring learners from diverse backgrounds and guiding them through hands-on modules covering programming, data analysis, machine learning, cloud tools, and Generative AI.

Key Responsibilities:

• Deliver sessions on Python programming, data handling, supervised/unsupervised learning, and Generative AI.

• Design, update, and facilitate interactive practical labs, coding exercises, and capstone projects.

• Guide learners in problem-solving, data preprocessing, model evaluation, and interpretation

• Conduct career-readiness workshops including resume reviews, mock interviews, and LinkedIn optimization.

• Maintain learner engagement via tools like MS Teams, VS Code, GitHub, LinkedIn Learning, and Microsoft Learn.

• Provide constructive feedback and support to students throughout the 12-week learning journey.

Education & Qualifications:

• Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or related fields.

• Certification in AI/ML, Python, or cloud technologies (e.g., Microsoft Certified: AI Fundamentals) is preferred.

• Prior teaching or mentoring experience in a technical domain is highly desirable. Technical Skills Required: Programming & Data Handling:

• Strong hands-on knowledge of Python

3 • Proficient with data structures: lists, dictionaries, functions, file handling

• Experience in NumPy, Pandas, and Seaborn for data analysis and visualization Machine Learning & AI:

• Understanding of Supervised Learning: linear & logistic regression, decision trees, SVM, KNN, model evaluation metrics

• Familiar with Unsupervised Learning: K-Means clustering, PCA, recommendation systems

• Ability to train and validate models using scikit-learn and visualize outputs Generative AI & Prompt Engineering:

• Familiarity with ChatGPT, prompt types (zero-shot, few-shot), and real-world applications

• Understanding of LLM risks such as bias, hallucination, and ethical implications Cloud & No-Code AI Tools:

• Exposure to Microsoft Cognitive Services, ML Designer, and drag-and-drop tools • Experience with OCR, speech-to-text, and text analytics in a cloud setting is a plus Soft Skills & Additional Competencies:

• Strong communication and facilitation skills

• Passionate about diversity in tech and mentoring underrepresented groups

• Ability to explain complex concepts in a simple, relatable way