GenAI Trainer

Job Title: GenAI Trainer
Employment Type:- W2
Duration:- 4-5 days (December 1st week)
Visa Type:- ALL VISA WILL WORK
Location: Guadalajara, Mexico
About the Role

We are seeking a skilled GenAI Trainer to design, develop, and deliver training programs focused on Generative AI tools, Large Language Models (LLMs), and AI-driven productivity workflows. The ideal candidate will have strong communication skills, hands-on experience with GenAI platforms, and a passion for empowering teams to adopt AI responsibly and effectively.

Key Responsibilities

Conduct instructor-led training sessions on Generative AI, LLMs, prompt engineering, and AI-assisted workflows.

Develop training materials including presentations, practical exercises, demos, and assessments.
Create reusable learning assets: guides, SOPs, video tutorials, and case studies.
Train cross-functional teams (business, technical, operations, leadership) on AI usage and best practices.
Provide hands-on demonstrations using tools such as ChatGPT, Claude, Copilot, Gemini, and other GenAI/LLM platforms.
Customize training programs for different levels: beginner, intermediate, advanced.
Evaluate learner performance and provide continuous support/coaching.

Stay updated with the latest AI technologies, capabilities, and industry trends.

Collaborate with product, IT, and L&D teams to align training with organizational goals.

Ensure responsible AI usage by teaching ethics, privacy, data security, and compliance guidelines.

Required Skills & Qualifications

Bachelor s degree in Computer Science, AI, Data Science, Education, or related field (or equivalent experience).

11+ years of experience in training, L&D, teaching, coaching, or content development.

Strong understanding of Generative AI, LLMs, NLP, and AI tool usage.

Experience with major AI platforms (ChatGPT, Gemini, Claude, Copilot, Midjourney, etc.).

Excellent communication, presentation, and facilitation skills.

Ability to simplify technical concepts for non-technical audiences.

Experience creating structured training content and documentation.

complete description

Explains what Generative Al is and how it differs from traditional Al.
Covers Large Language Models (LLMs), their capabilities in understanding and generating human-like text, and their role in contextual comprehension.
Demonstrates how GenAl can be used in manufacturing environments for tasks like report generation, documentation, and knowledge management. **
Avoids technical architecture details, focusing instead on practical applications

modification
Reduced duration from 90 to 30 min
Removed: In-depth discussion of LLM architecture, training data, and model internals.
Added/Emphasized:
-Practical understanding of GenAl capabilities (e.g., generating reports, summarizing production data).
-Use cases relevant to manufacturing: documentation automation, SOP generation, and knowledge retrieval.
-Shifted focus from technical theory to strategic application in plant operations.
- Highlighted how GenAl can support frontline decision-making and reduce administrative burden.

Certifications in AI, Instructional Design, or L&D.