AI SME Advisor

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 OverviewThis 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.
Collaborative, people-centred performance culture.
Opportunities to grow in a fast-paced environment.
Exposure to forward-thinking practices and varied project contexts.

**Our Recruitment Process**The peopleworth Employer Group follows a fair, transparent, and multi-stage recruitment process designed to ensure mutual fit.

Application Submission: Complete the online form and answer brief application questions.
Initial Screening: Your application is reviewed for role alignment; successful candidates move to the longlist.
Video Interview Stage: You’ll be invited to record short responses to 3–4 role-specific questions.
Live Interviews: Shortlisted candidates join first-round interviews (and, where applicable, second or third rounds depending on the role).
Final Shortlist and Verification: Reference and background checks are completed.
Offer and Contracting: Successful candidates receive formal offers and contract documents.
Pre-boarding and Onboarding: Once accepted, you’ll complete a pre-boarding process before officially joining your employing organisation within the Employer Group.

Details

Location

Bristol, UK Cardiff, UK Manchester, UK London, UK Leeds, UK Birmingham, UK

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.
Collaborative, people-centred performance culture.
Opportunities to grow in a fast-paced environment.
Exposure to forward-thinking practices and varied project contexts.

**Our Recruitment Process**The peopleworth Employer Group follows a fair, transparent, and multi-stage recruitment process designed to ensure mutual fit.

Application Submission: Complete the online form and answer brief application questions.
Initial Screening: Your application is reviewed for role alignment; successful candidates move to the longlist.
Video Interview Stage: You’ll be invited to record short responses to 3–4 role-specific questions.
Live Interviews: Shortlisted candidates join first-round interviews (and, where applicable, second or third rounds depending on the role).
Final Shortlist and Verification: Reference and background checks are completed.
Offer and Contracting: Successful candidates receive formal offers and contract documents.
Pre-boarding and Onboarding: Once accepted, you’ll complete a pre-boarding process before officially joining your employing organisation within the Employer Group.