Ai User Researcher Jobs (NOW HIRING)

Position Title: Associate User Researcher
Location: Radnor, PA (Hybrid: 03 days in office/week) in office 1 day a week, scheduled by the manager.
Start Date: ASAP
Type: Contract (612 months, with potential for extension)
Hours: 3040 hrs/week. Scheduled 40 hours week but could go less.
Schedule: MonFri, 9 AM5 PM EST
Temp-to-Hire: No
Remote Start: Yes
Overview
Americas UX/UR Chapter is leading the Airgas CX transformation and contributing to global AI transformation, serving one of the largest U.S. suppliers of industrial gases and safety products. Were seeking an Associate User Researcher to provide tactical, hands-on support for research activities that inform the design and delivery of digital products.
Working closely with the Lead User Researcher and User Researcher (Contractor), this role will focus on the operational and executional aspects of researchhelping plan, organize, and conduct studies that deliver timely, actionable insights to product and business teams. This is a unique opportunity to contribute directly to improving the customer and associate experience across eCommerce, point-of-sale, onboarding, and internal tools.
Key Responsibilities
Support day-to-day research activities in coordination with the Lead and support User Researcher to deliver timely, actionable insights.
Assist with participant recruitment, session scheduling, and preparation of research materials.
Capture detailed notes and observations during interviews, usability tests, and workshops.
Help compile and organize raw data for analysis and reporting. Develop and maintain the tagging taxonomy in a research repository, ensuring all research data is structured and organized for future context engineering and AI-driven insights.
Contribute to the creation and maintenance of research documentation, journey maps, and persona updates.
Support the execution of short-turnaround usability tests, surveys, and other tactical research activities.
Ensure research data is handled in compliance with Airgas privacy, accessibility, and ethics standards.
Ideal Candidate
02 years of experience in UX research, research operations, or related field (internships, academic projects, or transferable experience welcome).
Familiarity with basic qualitative and quantitative research methods (e.g., interviews, surveys, usability testing).
Strong organizational skills with attention to detail and accuracy.
Comfort with note-taking, documentation, and data organization.
Ability to collaborate with researchers, designers, and product teams.
Proficiency with basic research tools (e.g., Google Meets, Miro, Excel/Sheets; exposure to UserTesting and or Dovetail a plus).
Interest in building a career in user research and growing skills through mentorship.
Strong written and verbal communication skills.
Hiring Requirements Summary
02 years of experience supporting user research or similar activities.
Understanding of basic UX research processes and tools.
Ability to manage logistics and contribute to execution of research studies.
Comfortable collaborating in a hybrid/remote environment.
Demonstrated organizational skills and ability to manage multiple tasks.
Interest in advancing UX maturity through tactical research contributions.
Candidates should be able to share examples (academic or professional) that demonstrate their ability to support research activities and work collaboratively in a team environment.
Top 3 Must Have Skills
Qualitative Data Management: Proven ability to organize, tag, and synthesize qualitative data from interviews, usability tests, and other research methods. And an interest in the process of structuring and enriching data to make it more useful for AI.
User Research Fundamentals: Hands-on experience with foundational user research activities, including participant outreach and recruitment, and supporting usability tests.
Collaboration and Communication: Strong ability to work effectively within a team, taking direction and communicating clearly with researchers, data analysts, designers and product managers.
Pre-screen questions:
Tell me about a time you had to organize a large amount of raw user data from interviews or usability tests. What was your process, and how did your organizational approach make the data ready for broader, cross-functional use
In your opinion, what is the connection between meticulous user research documentation and the potential for a company to use AI to understand its customers
Describe a time you were given a problem to solve without a clear solution in mind. What was your approach to scoping the work and arriving at a result