Technical Instructional Designer

About the role

Multiverse operates as an EdTech company dedicated to professional upskilling within the fields of AI and technology. This specific role functions as a critical human quality control layer within an AI-assisted content pipeline. The primary responsibility is to ensure that technical training delivered to apprentices remains accurate, effective, and fundamentally human-centered. The hire will own the validation and refinement of learning experiences that bridge the gap between artificial intelligence generation and real-world educational standards. This position requires a proactive mindset focused on maintaining pedagogical integrity throughout the rapid production cycle. The successful candidate will act as a guardian of quality, ensuring that data-driven insights translate into tangible job-ready skills. Ultimately, the role is designed to safeguard the learner journey against the potential inconsistencies of automated content generation.

Key facts

What you'll do

• Apply backward design principles to construct Data programmes that prioritize job-ready outcomes over simple test performance.
• Monitor cohort performance metrics diligently and proactively revise content that fails to meet established learning standards.
• Develop bespoke learning assets, including branching narratives and high-stakes onboarding scenarios, that require distinct human creativity and empathy.
• Leverage AI tools and prompt engineering strategies to accelerate content production while exploring emerging instructional design methodologies.
• Collaborate closely with programme designers and senior stakeholders to refine pedagogical frameworks and institutional quality standards.
• Prototype innovative learning formats while carefully balancing the speed of delivery against long-term sustainability and effectiveness.
• Analyze learning data to identify specific gaps in knowledge and translate those insights into actionable improvements for course materials.
• Partner with technical authors and subject matter experts to ensure that complex Data Science concepts are represented accurately in learning sequences.
• Design assessment instruments that measure practical application rather than theoretical recall alone.
• Maintain detailed documentation of all revisions and design decisions to ensure traceability and future iterations.
• Conduct regular reviews of existing content to identify outdated information or opportunities for modernization.
• Facilitate communication between technical production teams and learning stakeholders to align on objectives and outcomes.

Requirements

• Demonstrate proficiency in both end-to-end ADDIE and backward design methodologies in practical applications.
• Possess the ability to translate complex Data Science or Analytics concepts into effective learning experiences for diverse personas.
• Show a proven track record of influencing senior stakeholders to adopt necessary curriculum improvements.
• Exhibit resilience in managing persistent project blockers and navigating shifting project requirements effectively.
• Hold at least one of the following: hands-on technical content production for Data Analytics/Science or 2+ years of commercial instructional design experience.
• Possess at least one of the following: a formal Data Science degree, successful completion of a technical apprenticeship in Data or AI, OR 2+ years of experience as a Data or AI practitioner.
• Maintain a strong attention to detail to ensure that all learning materials are free from technical errors and ambiguities.
• Communicate effectively in written and verbal formats with clarity and precision to various levels of an organization.

Nice to have

The source information does not specify any preferred or nice-to-have qualifications beyond the core requirements. All listed criteria are considered essential for the position. No additional preferences are documented in the provided source material.

Practical notes

The role operates on a hybrid schedule within the London location, requiring employees to work from the office three days per week. Remote work is permitted for up to 10 days per year for eligible employees who may work from locations outside the primary office. All successful candidates must undergo a Disclosure and Barring Service (DBS) check as a mandatory condition of employment. The standard holiday allowance includes 27 days of annual leave, supplemented by an additional 5 days dedicated to wellbeing, volunteering, and personal life events, alongside 8 designated bank holidays. Comprehensive health coverage is provided, featuring Bupa private medical insurance, a medical cashback scheme, life insurance, access to Wellhub gym facilities, and Spill mental health support resources.