EmergingService, hospitality, sport and accessibility AI

Assistive AI Application Specialist

Also called Assistive AI Specialist

An Assistive AI Application Specialist adapts AI tools to the validated accessibility needs of individual users. It matters because assistive features only count if people can use them, trust them and finish their tasks.

What they do

The work starts with the user, not the model. The specialist runs co-design sessions with disabled users and the staff who support them, then maps the tasks that matter. They configure conversation platforms and scheduling tools, write and test prompts, and shape how the system speaks, pauses and recovers from error. They evaluate model output against each person's stated needs, run user testing, and read analytics for where tasks stall. They document what works, flag where the AI should hand over to a human, and revise the workflow as needs change.

What a strong hire delivers

In the first months a strong hire delivers one co-designed assistive workflow in live use, with the users who shaped it. They leave a clear user evaluation showing task completion, where people felt in control, and where the tool failed. They also set up a repeatable method for testing future adaptations with users, plus a short list of known limits and handover rules.

How you can tell they are good

Ask them to walk through a workflow they adapted for a specific person or group. Listen for how needs were validated, what users changed, and what was dropped. Strong candidates show evaluation notes, talk about agency and not just accuracy, and describe failures openly. Be wary of anyone who speaks only about generic accessibility checklists or averages across users.

Why it is hard to fill

Nobody advertises for this under one title. The work sits inside service operations, accessible product design, hospitality or sport analytics roles. Candidates often have two of the three needed strands: assistive technology experience, participatory research, and hands-on AI evaluation. Few have all three. Titles mislead, so CVs need reading for the work done, not the label. Many strong people have never described themselves as AI specialists.

Where to find them

Look in accessible product design teams, assistive technology services, and user research groups that work directly with disabled users. Service operations and hospitality teams that have introduced conversation tools produce good candidates, as do sport analytics teams serving athletes with differing needs. Charities, health and public service providers, and small product companies are worth searching, often under titles like accessibility lead, service designer or conversation designer.

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 Assistive AI Application Specialist

  1. Tell me about a time you adapted a tool to one person's accessibility needs. How did you confirm it worked for them?

    Strong answers describe direct work with the user, specific needs and their own words on what changed. Look for iteration and evidence of validation. Worry if the answer rests on guidelines alone or assumes one fix suits everyone.

  2. How would you evaluate a conversational assistant for users with different communication needs?

    Good answers define tasks and success with users, then test with realistic scenarios, measuring completion, effort and confidence. They mention qualitative feedback. Worry about reliance on a single accuracy score or testing only with colleagues.

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

Job description you can post

We are building AI tools that adapt to the individual needs of the people who use our services. We are looking for a specialist to co-design assistive workflows with users, test them carefully, and make sure they help people finish what they set out to do.

What you will do

  • Co-design assistive workflows with users and support staff
  • Configure conversation and scheduling tools to individual needs
  • Evaluate model output against validated user requirements
  • Run user testing and analyse where tasks fail
  • Define handover points between AI and people
  • Document adaptations, limits and lessons for the wider team

What you will bring

  • Demonstrated work adapting technology for disabled users
  • Experience running participatory research or co-design
  • Hands-on evaluation of AI or conversational systems
  • Working knowledge of accessibility practice and assistive technology
  • Clear writing about findings and trade-offs
  • Background in service operations, hospitality, sport analytics or accessible design

Nice to have

  • Experience designing conversation flows
  • Familiarity with analytics for service tools
  • Lived experience of accessibility barriers

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

Skills that matter

  • Service and conversation designAdvancedStructure dialogue, escalation and service experiences
  • Human-computer interactionAdvancedDesign and study interactions between people and AI
  • Model evaluationWorkingMeasure capability and failure modes credibly
  • AccessibilityWorkingEnable equitable use by people with disabilities

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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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