<h3>Invera Talent Inc · United States</h3><hr><p><strong>Role Overview</strong></p><p>We are seeking an AI Trainer specializing in the Operations department. The trainer will design and deliver practical learning programs that help employees, managers, and functional specialists use AI responsibly in everyday work.</p><p>The role emphasizes practical capability building tied to real Operations workflows, rather than generic AI lectures.</p><p>The trainer will collaborate with Operations leaders, process owners, frontline managers, analysts, quality teams, workforce planners, IT, and business unit leaders to develop department-specific workshops, hands-on exercises, prompt libraries, workflow demonstrations, and adoption materials.</p><p>Training will directly support process mapping, bottleneck analysis, workforce planning, scheduling, operational reporting, quality monitoring, and responsible AI usage in operational processes.</p><hr><p><strong>Mission of the Role</strong></p><p>The mission is to help Operations teams understand where AI can create value, how to use it safely, and how to integrate it into daily responsibilities.</p><p>The trainer will build confidence, reduce uncertainty, and provide practical methods participants can apply immediately.</p><p>Each session should combine business context, live examples, guided exercises, and clear guidelines for responsible AI usage.</p><hr><p><strong>Core Responsibilities</strong></p><p>Design and deliver AI training programs for Operations 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 process mapping, bottleneck analysis, workforce planning, scheduling, operational reporting, quality monitoring, and continuous improvement.</p><p>Explain generative AI concepts, prompt design, workflow integration, output review, and human-in-the-loop decision-making in clear, business-relevant language.</p><p>Facilitate remote workshops, hybrid programs, live sessions, on-site bootcamps, and executive briefings as needed.</p><p>Develop training materials including slide decks, participant guides, quick-reference sheets, assignments, quizzes, adoption checklists, and manager toolkits.</p><p>Partner with implementation teams, IT, security, legal, and functional leaders to ensure training aligns with approved tools and governance standards.</p><p>Evaluate training outcomes through participant feedback, adoption data, skill assessments, and business impact indicators.</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 Operations.</p><p>Strong understanding of process mapping, bottleneck analysis, workforce planning, scheduling, operational reporting, quality monitoring, and core Operations workflows.</p><p>Ability to explain AI concepts in simple, practical language while maintaining professional precision.</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 directly in daily work.</p><p>Knowledge of operational risks, data quality, process exceptions, safety considerations, and responsible AI usage in operational environments.</p><p>Strong communication, facilitation, classroom management, and stakeholder alignment skills.</p><p>Ability to work effectively with global participants across different 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 prioritize practical capability, communication quality, business judgment, and the ability to make AI valuable in real departmental workflows.</p>