AI Curriculum Designer

What they do

They work out what a learner must be able to do, then write that as competencies someone could observe. From there they build the sequence: lessons, exercises, notebooks, workshops and sample applications. They write assessments that test the skill itself, not recall. They run pilots with real learners, watch where people get stuck, and rewrite. They talk to practitioners and subject experts to keep content true to how the tools behave. They also keep material current as tools and models change, and work with documentation, product and customer teams so the learning matches what people actually use.

What a strong hire delivers

In the first months, a strong hire delivers a competency map for one audience, agreed with the people who know the work. They ship a first working curriculum with exercises and assessments, and test it with a small group of real learners. They produce an evaluation showing what learners can now do, plus a clear plan for keeping the material up to date.

How you can tell they are good

Ask them to show a curriculum they built and walk through how they chose the competencies. Look for assessments that would catch someone who had memorised but could not do the task. Ask what they changed after learners struggled. Good candidates can explain a technical concept simply, and can also run the code in their own exercises.

Why it is hard to fill

Titles are inconsistent. The same work appears as learning designer, technical trainer, developer educator or enablement lead. Most people are strong in either instructional design or AI practice, rarely both. Teachers often lack technical depth. Engineers who write tutorials often skip assessment and evaluation. Candidates who can show evidence that learners improved are scarce, so we screen for that first.

Where to find them

Look at technical writers who moved into training, teachers and lecturers who have taught themselves to code, and developer educators from software or data companies. Corporate learning teams in technical firms are another source, as are customer education and enablement teams. Some come from bootcamps or university programmes, where they designed courses with real assessment.

Skills that matter

• Technical communicationAdvancedExplain evidence and limitations to relevant readers
• Change management and trainingAdvancedSupport adoption through learning and organisational change
• User researchWorkingStudy user needs, context and behaviour
• PythonWorkingDevelop tested numerical and data software