EmergingEducation, assessment and learning AI

AI Tutor Designer

Also called AI Tutoring Specialist

An AI Tutor Designer shapes how an AI tutor teaches, so that it helps learners reach the learning objective instead of just giving answers. They make the product educationally sound and trusted by teachers and learners.

What they do

They turn learning objectives into tutoring behaviour. That means deciding when the tutor asks a question, gives a hint, explains or steps back. They write the tutor specification, draft example dialogues and build prototypes on learning platforms and assessment systems. They run sessions with real learners, read the transcripts and note where the tutor gave too much help or missed a misconception. They work with engineers on prompts, evaluation and guardrails, and they agree with subject experts what correct and appropriate help looks like.

What a strong hire delivers

In the first months, a strong hire produces a clear tutor specification that engineers and subject experts both understand. They put a learner-tested prototype in front of real users and bring back evidence of what worked. They set up a repeatable way to judge help quality and misconception handling, and they give the team a short list of known risks with proposed fixes.

How you can tell they are good

Ask them to show a tutoring design they made and the evidence that it changed how learners behaved. Strong people explain why the tutor withholds an answer at one moment and gives it at another. They can describe a misconception they found in transcripts and how they redesigned for it. Be wary of anyone who only talks about prompts or only about theory.

Why it is hard to fill

The title barely exists, so searching by it finds few people. The work is often done by teachers, learning scientists or product people whose job titles say something else. Candidates tend to be strong on pedagogy or on AI systems, rarely both. Many have never run a learner test with a live model. We usually search by evidence of the work, not by title.

Where to find them

They come from teaching, instructional design, learning science, psychometrics and education technology. Some now sit in product, research or content roles at learning platforms, assessment providers, school and university programmes, and AI start-ups building tutoring products. Others are in human-computer interaction teams who have studied how people learn from systems. Look for people who have shipped something learners used.

Indicative pay

Not enough published evidence yet to give a fair range for this role, which is common for work this new. We benchmark it for you as part of a search.

Interview questions for an AI Tutor Designer

  1. Describe a tutoring interaction you designed. What was the learning objective and how did you decide what help the tutor should give?

    A strong answer links the objective to specific tutor moves such as hints, questions and worked steps. They explain the trade-offs. Worry if they describe only tone or wording, or cannot say what the learner was meant to gain.

  2. How have you found and handled a learner misconception in a tutoring system?

    Look for a real example from transcripts or sessions, a clear diagnosis, and a design change they then tested. Worry about generic lists of common misconceptions with no evidence from actual learners.

4 more questions, with what a strong answer covers, are in the Role Kit.

Job description you can post

We are building AI-supported learning and need someone to design how our tutor teaches. You will turn learning objectives into tutoring behaviour, test it with real learners and work with engineers and subject experts to make it better. The aim is a tutor that helps people learn, not one that just answers.

What you will do

  • Write tutor specifications that link learning objectives to tutoring behaviour
  • Build and refine tutoring prototypes
  • Run learner tests and review transcripts
  • Identify and design for common misconceptions
  • Define what appropriate help looks like and how we measure it
  • Work with engineers on prompts, evaluation and guardrails
  • Report learning gains and risks to the wider team

What you will bring

  • Demonstrated tutoring, teaching or learning design work that changed learner outcomes
  • Experience designing dialogue or feedback for learners
  • Ability to plan and run small experiments with learners
  • Practical grasp of assessment and how to measure learning
  • Clear written specifications that engineers can build from
  • Sound judgement on risks to learners from AI systems

Nice to have

  • Background in psychometrics or learning science research
  • Experience prototyping with language models
  • Human-computer interaction or user research experience

Free to use and adapt. If it saves you time, a link back to this page is appreciated.

Skills that matter

  • Pedagogy and assessmentAdvancedDesign learning activities and valid assessments
  • Human-computer interactionAdvancedDesign and study interactions between people and AI
  • Experimental designWorkingChoose comparisons that identify credible effects
  • AI risk managementWorkingIdentify, assess, treat and monitor AI risks

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How we wrote this

Role definitions are our own editorial work, checked against occupational classifications, standards, research and employer pages. Titles vary by company, and this is a description of the work, not a job advert.

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