AI Content Specialist - Adoption

About this role

Multiverse is the upskilling platform for AI and Tech adoption.

We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today’s workforce.

Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance.

In April 2026, we announced $70 million in strategic funding, led by Schroders Capital, with participation from StepStone Group, Lightspeed Venture Partners and General Catalyst. At an increased valuation of $2.1bn, the round makes us Europe’s first EdTech double unicorn.

But we aren’t stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We’re building a world where tech skills unlock people’s potential and output.

Join Multiverse and power our mission to equip the workforce to win in the AI era.

THE OPPORTUNITY

Adopt is Multiverse's newest bet: an AI adoption platform that helps every employee at our enterprise customers answer one question: "What do I actually do with AI in my job?” This is done through role-specific playbooks, use cases, and resources, generated and surfaced at the moment of need.

Adopt runs as a startup within the business: a small, fast-moving team leveraging Multiverse's customer relationships, IP, and reputation, but building and shipping like a Series A company. We're moving from a hands-on, manually curated content process to one where AI generates the vast majority of content at a scale no human team could match. We're aiming to support large enterprise deals and thousands of learners and use cases by the end of the year, which means the systems and the people who guard their quality have to be excellent.

This is genuinely a build-it-as-you-go role on a product that's still finding its shape. You'll have real influence over how a brand-new content quality function works, not a long-established process to maintain.

THE ROLE

Adopt uses generative AI throughout the content development process. The AI Content Specialist is the human in the loop who ensures that content is high-quality and trustworthy. You will own the quality and currency of the use case library; reviewing what's created, identifying where it falls short, keeping content accurate as AI tools change, and curating the knowledge bases that our AI models draw on.

This is a role for someone who is energised by working with AI-generated content at scale, has the instincts of a strong content developer, and who cares more about whether content works than about authoring it from scratch. Your success is measured by the accuracy, relevance, and real-world effectiveness of the content employees act on, not by the volume produced.

This is an individual contributor role, reporting to the Director of Learning for Adopt.

What your first month looks like

You'll spend your first few weeks getting hands-on with the live use case library and our QA process: sampling generated content, learning how to use our AI tooling, and understanding how feedback currently flows back into the generation system. Within your first month, you should be independently reviewing your share of AI-generated content we quality-check, and starting to spot the first patterns worth feeding back to the team building the generation system.

KEY RESPONSIBILITIES

- Quality-assure AI-generated content: Review a sample of the use cases our AI content generation system produces for accuracy, working prompts, realistic outputs, and credible time savings. You are the human judgment layer on top of automated and LLM-as-judge checks, catching what they miss and holding the quality bar in practice.

- Improve the system, not just the output: Identify patterns in where generation falls short and feed those insights back so the library gets better over time, not just bigger. You will work closely with the AI Content Systems Architect, who owns the generation system; you hold the line on quality day to day and tell them what needs to change.

- Keep content current: AI tools change constantly, and content that contradicts a user's lived experience of a tool erodes trust faster than no content at all. You will use an AI-assisted process to identify use cases affected by tool changes and update them, keeping the library free of stale or inaccurate guidance.

- Curate the knowledge base: Maintain the generic and customer-specific knowledge bases of best practices and AI tool documentation, deciding what is accurate, current, and worth including. Quality-check uploaded learning resources and verify that tagging and mapping to use cases are correct.

- Support governance and feedback: Triage user feedback on content, route it appropriately, and act on it. Support reviewers (customer-side content owners) on quality standards where needed.

SUCCESS METRICS

- Content accuracy and quality: Generated and curated content meets the quality bar, evidenced through sampling, LLM-as-judge evaluation, and a low rate of user-reported issues.

- Content effectiveness: Content drives real-world application. Use cases that are launched, completed, and generate impact stories.

- Content currency: The library stays current as AI tools change; stale or inaccurate use cases are identified and resolved promptly, with minimal trust-eroding errors reaching users.

- System improvement: Insights from QA demonstrably improve content generation quality over time, measured by quality trends across the sampled set.

- Knowledge base health: The generic knowledge base and resource library are accurate, current, and well-tagged, supporting high-quality generation and surfacing.

SKILLS & QUALIFICATIONS

We're looking for someone who combines editorial judgement with genuine, hands-on AI fluency.

- Editorial judgement and quality instinct…