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About the Role
You will be the human judgment layer in our AI-assisted content pipeline, acting as both a subject-matter expert and instructional designer. Your role is to refine AI-generated content, ensuring its accuracy and effectiveness for learners, and to create essential human-centric elements that enhance the learning journey.
Responsibilities
- Design end-to-end backward design for Data and AI programs, focusing on measurable on-the-job outcomes.
- Identify and address learning content that is not achieving desired outcomes.
- Create custom, high-touch programs and creative assets, such as branching narratives and bespoke multimedia.
- Utilize AI tools and prompt engineering to accelerate content development and explore new learning design approaches.
- Collaborate with Programme Designers and senior stakeholders to ensure the quality and pedagogical effectiveness of content.
- Lead the development of new learning formats and modalities, balancing rapid deployment with long-term sustainability.
Requirements
- Demonstrated command of end-to-end ADDIE and backward design, with experience building measurable, job-aligned outcomes and assessments.
- A proactive approach to identifying and rectifying learning content that does not drive real outcomes.
- Fluency with AI-powered tools and prompt engineering for content development and innovative applications in Data/AI learning design.
- Ability to translate complex AI, Data Science, or Analytics concepts into effective learning experiences for non-technical audiences.
- Proven ability to influence peers and senior stakeholders towards specific, measurable curriculum improvements.
- Resilience in overcoming project obstacles, such as blockers or shifting subject matter experts, with a demonstrated ability to learn from challenges.
Skills
- Generative AI
- Agentic AI
- Data Analytics
- Data Science
- Instructional Design
- Prompt Engineering
- Backward Design
- ADDIE Model
Location
- Hybrid
Work Type
- Hybrid
- Full-time
Experience Level
- 2+ years designing instructional content in a commercial environment or for commercial clients
- 2+ years working as a practitioner in Data or AI
Education Level
- Data Science degree (or equivalent)
- Completion of a technical apprenticeship in Data or AI
Benefits
- 27 days holiday plus 5 additional days off (1 life event, 2 volunteer, 2 wellbeing)
- Private medical insurance with Bupa
- Medical cashback scheme
- Life insurance
- Gym membership & wellness resources through Wellhub
- Access to Spill for mental health support
- Hybrid work offering (3 days in office for most roles)
- Work-from-anywhere scheme (up to 10 days per year)
- Weekly catch-ups, seasonal celebrations, and stocked kitchen
About the Company
- Multiverse is an upskilling platform for AI and Tech adoption, partnering with over 1,500 companies.
- Our upskilling apprenticeships are designed to build critical AI, data, and tech skills for individuals of all ages and career stages.
- Learners have driven over $2 billion in ROI for their employers.
- The company announced $70 million in strategic funding in April 2026, reaching a valuation of $2.1 billion, making it Europe's first EdTech double unicorn.
- With over 800 employees, Multiverse has ambitious plans for continued scaling to empower the workforce for the AI era.
Equal Opportunity
- Multiverse is an equal opportunities employer, providing equal opportunities to all applicants and employees regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status.
- Multiverse is committed to safeguarding and promoting the welfare of its learners, expecting all employees to share this commitment and adhere to safeguarding policies.
- Successful applicants will be required to undertake a Basic check via the Disclosure Barring Service (DBS).
- For roles involving Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children's Barred List check and a Prohibition Order check.