AI SME Advisor job opportunity at Peopleworth.



Date2026-01-20T08:29:43.280Z bot
Peopleworth AI SME Advisor
Experience: General
Pattern: Contract
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degreeGeneral
loacation Leeds, United Kingdom
loacation Leeds....United Kingdom

At peopleworth, we support work where people and performance thrive. As part of our Employer Group, we work with a variety of forward-thinking partners and are excited to share this opportunity that sits within our growing group. Role Overview This fixed term SME Advisor (AI) role provides expert input into the development and enhancement of learning and development experiences that require rigorous and industry-relevant AI practice. The focus is on embedding sound AI principles, workflows, and applied methods into course creation and delivery. The role will collaborate closely with cross-functional teams involved in learning design and programme development to ensure technical accuracy, practical relevance, and strong learner outcomes. Key Responsibilities Provide expert guidance on the design and development of AI-focused and AI-enabled learning materials that balance conceptual clarity with hands-on relevance. Shape models, tools, workflows, exercises, and other applied elements that reflect contemporary industry practice. Review learning assets including storyboards, scripts, assessments, and supporting resources to strengthen technical accuracy and pedagogical quality. Offer clear, constructive feedback to ensure content is current, ethically grounded, and aligned with emerging industry standards. Co-create practical toolkits, guides, templates, and examples that help learners apply AI concepts in real-world contexts. Advise on appropriate platforms, tools, and datasets to support skills development and practical application. Act as a technical sounding board throughout content development, supporting decisions on difficulty calibration and content direction. Provide insights on industry signals, trends, and employer expectations to support ongoing programme evolution. Recommend enhancements that deepen experiential learning and strengthen relevance for learners preparing for AI-related roles. Demonstrated industry experience in AI development with a strong understanding of hands-on workflows and automation practices. Practical experience developing or applying machine learning, natural language processing, data engineering, or related AI capabilities in professional environments. Ability to translate technical AI knowledge into clear, accessible, and pedagogically sound learning materials. Experience collaborating with cross-functional teams involved in product development, learning design, or technical content creation. Strong analytical and critical evaluation skills applied to reviewing and shaping technical materials. Awareness of ethical considerations, emerging standards, and industry best practice in AI. Proficiency with common AI tools, platforms, and practical implementation methods. Excellent communication skills, with the ability to provide clear, structured, and actionable feedback.

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