Technical Instructional Designer – AI Programs

Multiverse; City Of London; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Time off: 27 days + holidays

Equity for all

Hybrid working

Private medical insurance

Life insurance

Pension and wellness benefits

Job summary

Multiverse is hiring a senior learning designer who sits at the intersection of human judgment and AI-enabled content. You will decide what AI gets right, fix gaps, and craft high‑touch learning moments that genuinely transform careers in Data and AI.

You’ll design outcomes using ADDIE and backward design, own measurable results, and partner with senior stakeholders to evolve AI frameworks and pedagogy in a fast‑growing EdTech environment.

Qualifications

• Hands-on experience producing technical content for Data Science or generative/agentic AI.
• 2+ years designing instructional content in a commercial environment or for commercial clients.
• Plus one of: Data Science degree; completion of a technical apprenticeship in Data or AI; 2+ years working as a practitioner in Data or AI.

Responsibilities

• Design outcomes, not just content; build job‑aligned curricula and assessments.
• Identify and revise learning that isn’t landing to meet standards.
• Create high‑touch programs and assets requiring human empathy and nuance.
• Use AI and prompts to accelerate content development and explore new approaches.
• Advise senior stakeholders on quality and pedagogy of AI outputs.
• Prototype new formats and balance speed with sustainability.

Skills

ADDIE design

Backward design

Instructional design

AI content design

Prompt engineering

Stakeholder influence

Learning outcomes assessment

Resilience

Tools

AI tools

Prompt engineering tools

Job description

Multiverse is hiring a senior learning designer who sits at the intersection of human judgment and AI-enabled content. You will decide what AI gets right, fix gaps, and craft high‑touch learning moments that genuinely transform careers in Data and AI.

You’ll design outcomes using ADDIE and backward design, own measurable results, and partner with senior stakeholders to evolve AI frameworks and pedagogy in a fast‑growing EdTech environment.