Interpreting and contextualising AI-generated insights, making sure they are accurate and used ethically
Combines established mixed methods with AI-assisted analysis. Prior experience with AI research tools is desirable, while checking the findings is part of the work.
3. Nelnet — User Experience Researcher, AI-Augmented Research
USA | Wisconsin, Nebraska or Colorado; remote not confirmed
The AI accelerates the work; it doesn't replace the judgment.
The researcher develops an agent-based synthesis process and validates its inputs and outputs. Interviews, surveys and usability testing remain central. Text available through the employer’s indexed advert.
USA | Remote, six months; state restrictions apply
maintaining rigorous standards around data privacy, ethics, and study integrity
The advert describes AI tools for recruitment, moderation, transcript analysis and knowledge sharing, alongside strong qualitative methods and responsible interpretation.
Contextualize AI outputs against answer keys, spot hallucinations, and grasp the limits of probabilistic models.
Evaluates enterprise AI systems and agent performance. Synthetic test data are used to check system behaviour; this is distinct from replacing participant evidence.
Experience researching AI-assisted or agentic product experiences where users review and approve system-generated output
Studies clinical workflows and tests how clinicians review AI proposals. AI-product experience is a preferred qualification; qualitative and quantitative research skills remain core.
We think using AI to work smarter is part of the job.
Workflow expectation. The advert expects responsible experimentation with AI while retaining mixed methods, statistical judgement and participant research. The AI wording is company-wide, rather than a specialist qualification. Employer page available.
Leverage AI-powered tools and workflows to accelerate research operations, synthesis, and insight generation.
Research workflow. AI-supported operations and analysis sit alongside research for the Canvas team. Source: reproduced advert on Top Remote Jobs; employer vacancy status not independently confirmed.
Partner with Product, Engineering, AI, Operations and Design teams to shape user-centred products and experiences.
Product context and collaboration. Leads research across marine robotics, autonomous systems and remote operations. The explicit AI reference concerns the teams involved; it does not establish an AI-tool qualification. Source: UX Brighton job board.
10. Descrial via Maxwell Bond — Design UX Researcher
UK | London, Kings Cross; three to five office days weekly
You study trust, verification behaviour and tolerance of failure in LLM-powered features.
AI evaluation. Studies professional users and contributes evidence-based examples and failure categories to evaluation sets used before AI releases. Useful for teaching how research informs model evaluation. Recruiter page available.
USA | Remote considered; eligible states and location preferences apply
look for ways AI can make our research faster, sharper, and easier to reuse
Research workflow. Expected to explore AI while coaching colleagues and maintaining shared research standards. Also requires qualitative and quantitative methods. Employer page available; quarterly travel is specified.
USA | Austin; remote hashtag appears, arrangement needs confirmation
Experience using AI tools in research, and a critical eye for hallucinations, unsupported claims, and weak reasoning.
Research quality and operations. Supports colleagues using research agents, prioritises studies by decision risk and checks outputs before sharing. A strong example of judgement remaining central. Employer page available.
Research workflow. Describes language models, automated tagging and scripting alongside moderation and strategic interpretation. Also researches professional productivity tools. Evidence retrieved from indexed employer text; page requires JavaScript.
14. Anthropic — User Experience Researcher, Platform
USA | San Francisco, New York or Seattle
Hands-on use of AI in your own research
Research capability. Expects candidates to use AI in analysis and tooling; building with coding tools and agents is also relevant. Useful for discussing technical fluency within research practice. Employer page available.
while maintaining rigorous strategic human oversight
Research workflow. Specifically names Gemini, NotebookLM and automated synthesis tools, coupled with human oversight. The product domain is robotics and complex technical interfaces. Employer page available.
Using AI every day to accelerate ideation, prototyping and experimentation.
AI is integrated into an existing UX process involving customer insight, design systems and testing. Useful for showing how everyday design practice is changing.
Demonstrated experience using LLMs or AI-assisted tools to build interactive prototypes or working front-end artifacts.
Names Claude Code, Cursor and Codex in prototyping duties. The emphasis is on functional interaction and research-informed B2B product design. Source is the reproduced advert on Built In.
using AI-assisted tools to help synthesize insight, identify patterns and inform product direction
Connects research support with conversational and generative interfaces, prompts, interaction states and model limitations. This is a mid-weight design role, not a UX Researcher post.
London | Office attendance; labels differ across sources
Active curiosity about AI, with evidence of using AI tools in your day-to-day design workflow.
Combines AI-assisted and conversational product experiences with everyday use of AI design tools. Strong design craft, research collaboration and reusable systems remain part of the role. Evidence from indexed employer text; direct page requires JavaScript.
Define the interaction patterns for creating, understanding and steering AI agents
Focuses on how people direct agents, understand their work and use generated applications. Useful for explaining why AI introduces new interaction-design problems. Evidence from indexed employer text; direct page requires JavaScript.
how they stay in control, and how they recover when something goes wrong
The role concerns end-to-end use of an AI application: starting tasks, following progress, retaining control and recovering from errors. Evidence from indexed employer text; direct page requires JavaScript.
support our Machine Learning Lab within the Agentic & AI Platform
Designs access to and use of a machine-learning service, translating technical complexity into usable journeys. Advertised closing date: 3 November 2026.
help shape how enterprises understand, govern, and trust their AI agents
AI product and workflow. Designs agent oversight tools and encourages designers to use AI for prototyping and code contributions. Evidence from indexed employer text; direct page requires JavaScript.
Do you use AI tools in your design or research process? How?
AI product and application question. Designs training experiences for leaders and learners using AI tutoring. The quoted question asks about practice; it does not specify a minimum proficiency level. Employer page available.
Design intuitive interfaces for complex AI workflows.
AI product. Turns technical machine-learning concepts, reasoning processes and audit information into understandable interfaces. Useful for teaching transparency and interaction design. Employer page available.
give users the right amount of control, transparency, and trust
AI interaction design. Leads conversational and agent-based learning experiences, including feedback that helps users identify problems. Source: full reproduced description on Built In; quotation comes from the description, not its generated summary.
27. Scale Health recruiting for an unnamed client — Senior Product Designer
UK / Europe | Remote
Active use of AI tools within your design workflow to accelerate iteration.
AI workflow and product. Designs clinical and patient interfaces for a cancer-care platform. Useful for discussing how critical judgement and contextual research apply in complex settings. Recruiter page available.
balancing user needs, technical constraints, business goals, and emerging AI capabilities where appropriate.
AI product. Combines enterprise planning, research and accessible interface design with emerging agent-based capabilities. The wording makes suitability to the problem part of the design decision. Employer page available.
a suite of powerful AI tools for insurance AI, document processing, and more.
AI product. Leads design across enterprise tools and new product initiatives. Illustrates the need to translate complex capabilities into usable work processes. Employer page available.
experience prototyping and evaluating AI-powered or nondeterministic interactions is a plus
AI product and preferred experience. Designs workflows connecting design and production code. The advert also names AI coding tools; the quoted experience is a preference, not an essential condition. Employer page available.
31. Wise — Principal AI Content Designer, Wise Assistant
UK | London
design the systems that enable Wise to deliver conversational AI experiences
Content and conversation design. Works with engineers, product managers and data scientists on customer support interactions, with experimentation using AI in the design process. Employer page available.
design the interactions, flows and interfaces behind frontier AI products
AI public services. Develops and tests interfaces around user needs, accessibility and evidence. Advertised closing date: 1 November 2026. Employer page available.
33. HTC Global Services — UX Generalist / Service Designer, Experience Strategy
USA | Remote location and hybrid preference both stated
use generative AI practically and responsibly to strengthen research, synthesis, and design workflows
Connects service design, organisational processes and research with responsible use of generative AI. This is a broader UX/service role rather than a dedicated researcher post.
Translate sophisticated, open-ended AI technical features into clear, intuitive, and reliable user experiences.
Shows the work of making AI capabilities understandable to students and knowledge workers, supported by user research, iteration and design judgement. Evidence from indexed employer text; direct retrieval was unavailable, so current vacancy status is unconfirmed.
Familiarity with Large Language Models, Gemini, and Vertex AI.
Conversational AI appears in responsibilities; the quoted familiarity is a preferred qualification. The work includes dialogue flows, language understanding and evaluation of existing interactions.
36. Google DeepMind — UX Designer, Human-Computer Interaction
Mountain View, California | Remote not confirmed
Experience with machine learning capabilities and limitations, and designing human-AI collaboration workflows.
A direct qualification linking knowledge of AI limitations with interaction design and human factors. The role also includes experiments and field research. Evidence from indexed employer text; direct retrieval was unavailable, so current vacancy status is unconfirmed.
Strong knowledge of AI tools such as ChatGPT, UX Pilot, and Figma Make.
Pairs AI tools with enterprise design and field research involving operational staff. A useful example beyond an AI-focused technology company. Source is a reproduced job description.
Demonstrated rapid prototyping ability, including fluency with AI-assisted building tools
Combines AI-supported prototyping with discovery interviews, usability testing and evidence about customer demand. Research helps determine whether an idea should proceed.
defining how users direct, review, and collaborate with AI agents inside their daily workflows
Designs AI-supported recruiting products and the interactions through which users guide and review agents. The advert also discusses AI tools within the design team’s own process.
owning the end-to-end experience of how customers build, evaluate, and ship AI
AI product and workflow. Designs tools for configuring and evaluating agents, with discovery and usability research. Also expects practical use of coding and prototyping tools such as Claude Code and Cursor. Employer page available.
Use Claude and other AI tools to move from concept to functioning prototype
AI workflow and product. Combines field research with interfaces for warehouse staff and an AI insights product. Demonstrates the connection between physical working conditions, research and interactive prototyping. Employer page available.
42. Hightouch — Staff Product Designer, AI Creative Tools
North America | Remote; includes US market
Curiosity about AI: You’re tinkering with new technologies constantly.
AI product and exploration. Designs marketing tools involving agents, data and machine learning, supported by direct customer research and prototypes. Country eligibility should be confirmed by applicants. Employer page available.
you have used Claude Code/Cursor to make impactful design changes.
AI product and coding tools. Refines an AI evaluation platform through observation, prototyping and usability testing. AI coding experience is one route to the engineering background sought, rather than a universal requirement. Employer page available.
44. Linda Werner and Associates — UI/UX Designer, AI Powered Products
USA | Remote; recruiter listing
Plan and conduct usability testing for existing and in development AI tools
AI product. Improves a portfolio of internal tools through research, interaction design and reusable standards. The end employer is not identified in the retrieved advert. Recruiter page available.
USA | San Francisco Bay Area or remote; local hybrid three days
Hands-on with AI-assisted design tooling for concept exploration, research synthesis, and prototyping
AI workflow. Expects practical tooling experience and judgement about its limits in a regulated context. AI-enabled product experience is also listed separately. Employer page available.
Content systems. Produces and maintains content used by customers and AI-supported services, including release readiness and information gaps. Shows why content structure and accuracy matter to AI experiences. Employer page available.
USA | San Francisco, Sunnyvale, Seattle or New York
Plug custom GPTs and other LLMs into everyday product workflows for content iteration and improvements.
Design engineering. Builds tools and evaluation-related workflows for content teams. This is a technical role adjacent to mainstream UX design, not a dedicated UX Research post. Employer page available.
Teaching examples only. These entries are included in the 50 substantive descriptions but are not confirmed current openings.
48. Notion — User Researcher, AI Evaluations
USA | San Francisco or New York, hybrid
define and scale how we evaluate Notion’s AI-powered experiences
AI evaluation. Connects studies of user expectations and failure recovery with reusable evaluation criteria. Indexed employer text remains available, but direct retrieval returned 404. Retain as a teaching example only; current vacancy unconfirmed.
49. Google — Senior Quantitative UX Researcher, AI Enablement
USA | Sunnyvale or Seattle
Experience researching AI/ML products, Developer APIs, or technical infrastructure.
Quantitative research. Describes telemetry, measurement frameworks and agent-assisted analysis. Indexed description retrieved, but the direct link now shows general search results. Current vacancy unconfirmed.
50. Wise — Staff AI Content Designer, 12-month maternity cover
UK | London
Shape AI support features from concept to scale, focusing on intuitive, user-facing content.
Content design. Useful evidence of conversational support work, but the employer explicitly marks this vacancy expired. It must not be presented as a current opening.
These five are additional to the 50 substantive descriptions. Their AI wording does not establish a candidate skill requirement.
51. Rowden — UX Designer
UK | Bristol, hybrid
turning advances in sensing, AI, and communications into operational capability
AI appears in the company introduction. This alone does not establish an AI skill requirement. The relevant wording was retrieved from indexed employer text.
Company context rather than a stated design skill. The application also prohibits AI-generated answers, illustrating why a mention needs interpretation.
advanced analytics, Generative AI, transformative technologies, and creative design
AI appears in the team introduction. The role’s stated qualifications focus on UX, documentation and collaboration; the mention alone is not an AI competence requirement.
Recruitment-app promotion only. Retained for completeness because the pilot counted any mention; it should not be used to illustrate AI within UX practice.
55. Capgemini Invent — Service Designer, Consultant, AI and Digital Factory
UK | London, Bristol, Glasgow or Manchester; hybrid and travel
You will be joining the growing and exciting AI & Digital Factory community
Team context. The role describes service design, accessibility and GDS practice. Its AI reference names the practice area; it does not establish a specific AI skill requirement. Employer page available.