AI Technical Enablement Specialist

Job not on LinkedIn

🔥 9 hours ago

🇬🇧 United Kingdom – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

📚 Learning and Development

👻 Ghost score 10%

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Quadmark

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1999

📚 Education

🤝 B2B

☁️ SaaS

Education • B2B • SaaS

Quadmark is a creative training company that designs and delivers people development, sales enablement, retail & product training, digital transformation, and event facilitation services. They combine learning strategists, writers, designers, facilitators and digital specialists to create blended learning experiences — in-person and online — including eLearning, video, gamification, LMS UX consultancy, coaching, and ongoing enablement for B2B sales and retail teams. Their work focuses on helping organisations adapt to hybrid working, DE&I, multi-generational workforces and fast-paced business change, delivering tailored programs across the customer journey and crafting memorable events.

📋 Description

• Translate technical requirements and client and implementation-partner feedback into actionable guidance for Learner Experience, Content and Facilitation • Review training content, code samples, diagrams, labs and demos against current documentation and technical requirements • Run exercises from a clean setup, reproduce issues and record test results, fixes needed and untested items • Build or adapt small examples, labs and prototypes to test approaches, clarify concepts or unblock programmes • Help facilitators prepare for technical sessions and likely questions • Join specialist client or partner conversations to clarify requirements or resolve issues • Flag technical issues before release and ensure AI learning programmes are technically accurate, practical to run and useful • Support learning and validation while production deployment and ongoing operation remain with responsible system teams

🎯 Requirements

• Hands-on experience building, testing and troubleshooting AI applications or API integrations • Ability to explain what you built, the trade-offs made and how you checked it worked • Practical understanding of enterprise AI deployment, including identity, data access, security, integration and scale • Current knowledge of AI models, APIs and developer tools • Good judgement about evaluation and safe use of AI • Ability to get up to speed quickly from documentation and hands-on testing • Clear, concise ability to explain technical ideas and provide actionable feedback • Experience developing technical learning or workshops is helpful

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