Instructor, AI Programmes

Summary

Join Multiverse and help us set a new course for work. As an instructor, you will be responsible for delivering technical content across our AI for Business Value and AI-Powered Productivity Programmes. You will support apprentices in growing their understanding of how AI can solve business problems through workshops and drop-in sessions. You will help apprentices develop knowledge relating to the appropriate KSBs throughout their programme. You will be part of a diverse team of industry experts, educators, and academics, working together to build the future of work. You will complete a 3-week onboarding programme covering modern teaching methodologies, technical upskilling, and practical coaching opportunities. At the end of onboarding, you will be ready to support Multiverse apprentices, helping them develop technical expertise and industry-relevant skills relating to AI and Data domains and drive impact within their businesses.

Requirements

• You possess strong written and on-camera communication and presentation skills
• You can skillfully adjust communication approaches to explain complex concepts to technical and non-technical stakeholders
• You can think critically and solve problems as they arise, especially in an online classroom setting
• You are committed to continuous professional development and staying current with industry trends
• You have industry experience of applying AI to create ROI in a business context
• You are a seasoned professional with a minimum of 2 years of relevant experience; ideally in AI, Software Development or Business Analysis roles
• You are deeply interested in generative AI and regularly use tools to improve your own productivity
• You excel at explaining technical concepts clearly and compellingly to diverse audiences
• You have exceptional written and on-camera communication and facilitation skills, with proven ability to engage business audiences, including leaders
• You are passionate about developing others' skills and strongly align with Multiverse's mission to create equitable access to economic opportunity

Responsibilities

• Confidently facilitate delivery sessions of our technical Learning content, ensuring the session delivers against learning objectives within the allotted time
• Adhere to the Coach Quality framework to ensure a consistent level of quality for every session and a consistent experience for every apprentice
• Create a vibrant, inclusive and motivating environment that drives apprentice learning, engagement and overall satisfaction
• Moderate assignments in line with mark schemes to ensure quality and consistency while providing feedback and feed forward for apprentices to continually develop their technical and durable skills
• Maintain an owners mentality, whether assigned a learner or in support of other coaches, being proactive in taking action, sharing feedback, or providing support to ensure the progress and success of learners
• Regularly liaise with coaches to align on apprentice interventions to ensure successful completion of programme
• Coordinate with cohort coaches and operations members to align on apprentice development and progress
• Utilise resources & learning opportunities provided by Multiverse, stay up-to-date on knowledge, learning and product updates, to ensure you are equipped to support your apprentices
• Build & maintain credibility with your apprentices by utilising a mixture of professional experience, program/domain/industry knowledge and client context in your interactions
• Create a compelling narrative about Multiverse, our mission and the pillars of our offering. Help apprentices connect to it through the duration of their apprenticeship and beyond

Preferred Qualifications

• Prior experience delivering formal training or coaching, particularly on AI, data or digital transformation topics
• Deep familiarity or certifications related to specific AI tools like Microsoft 365 Copilot , Gemini for Google Workspace or Microsoft Copilot Studio
• Experience in curriculum development or instructional design
• A postgraduate qualification (e.g., Master's degree) in a related field (AI, Data Science, CS, Digital Transformation)
• Experience with programming, digital transformation or creating machine learning models

Benefits

• Time off - 27 days holiday, plus 7 additional days off: 1 life event day, 2 volunteer days and 4 company-wide wellbeing days and 8 bank holidays per year
• Health & Wellness - private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Gympass and access to Spill - all in one mental health support
• Hybrid & remote work offering - with monthly visits to the London office and the opportunity to work abroad 45 days a year
• Team fun - weekly socials, company wide events and office snacks!