AI Trainer - Product and R&D Department

<h3>Invera Talent Inc · United States</h3><hr><p><strong>Role Overview</strong></p><p>We are seeking an AI Trainer with specialization in the Product and R&D organization. The trainer will design and deliver practical learning programs that enable employees, managers, and functional specialists to use AI responsibly in real work.</p><p>This role emphasizes hands-on capability building aligned to Product and R&D workflows, rather than generic AI lectures.</p><p>The trainer will partner with product leaders, product managers, researchers, designers, engineers, innovation teams, data teams, marketing, sales, customer success, and executive stakeholders to develop department-specific workshops, interactive exercises, prompt libraries, workflow demonstrations, and adoption resources.</p><p>Training will directly support customer insight analysis, product discovery, concept testing, roadmap planning, technical documentation, research workflows, and responsible AI practices within product and innovation environments.</p><hr><p><strong>Mission of the Role</strong></p><p>The mission is to help Product and R&D teams identify where AI can create value, understand how to use it safely, and integrate it into everyday work.</p><p>The trainer will strengthen confidence, reduce uncertainty, and provide practical methods participants can apply immediately.</p><p>Each session should include business context, relevant real-world examples, guided exercises, and clear guidelines for responsible AI use.</p><hr><p><strong>Core Responsibilities</strong></p><p>Design and deliver AI training programs for Product and R&D employees, managers, specialists, analysts, and senior stakeholders.</p><p>Create department-specific workshops, learning paths, exercises, prompt templates, role-based scenarios, and workflow demonstrations.</p><p>Teach practical AI use cases connected to product discovery, customer insight analysis, concept testing, roadmap planning, technical documentation, and research knowledge management.</p><p>Explain generative AI concepts, prompt design, workflow integration, output review, and human-in-the-loop decision-making in clear, business-focused language.</p><p>Facilitate remote workshops, hybrid programs, live sessions, on-site bootcamps, and executive briefings as needed.</p><p>Develop training materials such as slide decks, participant guides, quick-reference sheets, assignments, quizzes, adoption checklists, and manager toolkits.</p><p>Collaborate with implementation teams, IT, security, legal, and functional leaders to ensure training reflects approved tools and governance standards.</p><p>Evaluate training outcomes using participant feedback, adoption data, skill assessments, and business impact metrics.</p><hr><p><strong>Required Experience and Capabilities</strong></p><p>Experience in AI training, corporate learning, enablement, consulting, digital transformation, or specialist work within Product and R&D.</p><p>Strong understanding of product discovery, customer insight analysis, roadmap planning, technical documentation, research workflows, and innovation processes.</p><p>Ability to explain AI concepts in clear, practical language without sacrificing professional accuracy.</p><p>Experience facilitating remote, hybrid, or on-site workshops for professional audiences.</p><p>Ability to create exercises, templates, examples, and demonstrations that participants can apply in their day-to-day work.</p><p>Knowledge of research validation, intellectual property, customer data privacy, responsible AI usage, and risks related to AI-driven product development.</p><p>Strong communication, facilitation, classroom management, and stakeholder alignment skills.</p><p>Ability to work effectively with global participants across diverse cultures, time zones, and varying technical skill levels.</p><hr><p><strong>How to Apply</strong></p><p>Please submit a CV or professional profile along with a short note describing relevant AI implementation or AI training experience, department-specific expertise, and examples of business impact.</p><p>Portfolio materials, workshop examples, playbooks, prompt libraries, process maps, or case studies may be included where appropriate.</p><p>The selection process will emphasize practical capability, communication quality, business judgment, and the ability to make AI useful in real departmental workflows.</p>