UX Research Intern, AI Experience
📍 Job Overview
Job Title: UX Research Intern, AI Experience
Company: Rocket Lawyer
Location: Arizona, California, Colorado, North Carolina, Utah, United States
Job Type: Intern
Category: User Experience Research / AI Product Development
Date Posted: April 08, 2026
Experience Level: Entry Level / Internship
Remote Status: Remote (Must reside in specified states)
🚀 Role Summary
-
This internship focuses on User Experience (UX) Research specifically within the burgeoning field of Artificial Intelligence (AI) and its application in product development, particularly for the "Copilot AI" workstream.
-
The role involves hands-on support for qualitative research initiatives, aiming to understand user perceptions, trust, and interaction patterns with AI-powered features, crucial for building user-centric AI products.
-
Candidates will gain practical experience across the full research lifecycle, from planning and execution of user interviews to data synthesis and translating insights into actionable product recommendations.
-
This position offers a unique opportunity to contribute to the evolution of AI within a legal tech company, providing exposure to human-AI interaction dynamics and the broader product development process.
📝 Enhancement Note: This role is specifically for an intern, indicating an entry-level position focused on learning and development within UX Research and AI. The focus on "Copilot AI" and "AI Experience" suggests a strategic emphasis by Rocket Lawyer on integrating AI into their core offerings, making this an exciting opportunity to contribute to cutting-edge product development.
📈 Primary Responsibilities
-
Assist in the planning and logistical coordination of moderated user interviews, including participant recruitment, scheduling, and communication management.
-
Actively participate in qualitative research sessions by taking detailed notes and helping to identify key themes and user insights.
-
Support the qualitative coding and analysis of research data to uncover patterns in user behavior, trust, and interaction with AI features.
-
Contribute to the creation of research artifacts such as insight summaries, user journey maps, and presentation decks to communicate findings effectively.
-
Help maintain organized research documentation and manage insights within shared knowledge repositories for team accessibility.
-
Collaborate with Product Managers, UX Designers, and Engineers to align research goals with product hypotheses and development roadmaps.
-
Aid in the execution of concept testing and usability evaluations for new AI features to identify areas for improvement.
-
Support the identification of patterns related to user trust, effective prompting strategies, and optimized human-AI workflows.
-
Learn to connect qualitative research findings to quantitative product metrics and the outcomes of product experimentation.
-
Engage in cross-functional collaboration throughout the research lifecycle, attending team reviews and critiques.
-
Develop the ability to manage multiple research tasks concurrently in a fast-paced product environment under guidance.
-
Maintain curiosity and continuous learning regarding AI advancements, emerging technologies, and user research best practices.
📝 Enhancement Note: The responsibilities clearly outline an intern's supportive role, focusing on execution and learning under mentorship. The emphasis on "Copilot AI" and "human-AI workflows" highlights the specific domain of this research.
🎓 Skills & Qualifications
Education:
- Currently pursuing or recently completed a degree in Human-Computer Interaction (HCI), Psychology, Sociology, Design, or a closely related field.
Experience:
- While this is an internship, prior academic or internship experience in conducting user interviews or usability tests is a significant advantage.
Required Skills:
-
Strong interest in UX research, AI experiences, and understanding user behavior.
-
Foundational knowledge of qualitative research methodologies, including user interviews, usability testing, and surveys.
-
Excellent organizational and note-taking skills to accurately capture research data.
-
Clear and concise written and verbal communication skills for reporting findings and collaborating with teams.
-
Ability to collaborate effectively in cross-functional teams and adapt to a fast-moving development environment.
Preferred Skills:
-
Experience with research tools such as Dovetail, UserTesting, Lookback, or similar platforms.
-
Prior exposure to AI products or a keen interest in human-AI interaction dynamics.
-
Basic understanding of product experimentation principles or data analytics.
-
Interest in specific industries like legal tech, fintech, or other regulated sectors.
📝 Enhancement Note: The qualifications emphasize foundational research skills and a strong interest in AI, suitable for an intern. The "bonus" skills are particularly relevant for candidates looking to stand out and demonstrate early specialization in AI research or related tools.
📊 Process & Systems Portfolio Requirements
Portfolio Essentials:
-
While formal portfolio requirements for interns are typically less stringent, candidates are encouraged to showcase any academic projects, coursework, or previous internship work that demonstrates their understanding of UX research principles.
-
Highlight projects where qualitative research methods were applied to understand user needs or evaluate product usability.
-
For AI-focused projects, showcase any work that involved analyzing user interaction with technology or understanding user perceptions of new features.
Process Documentation:
-
Demonstrate an understanding of basic research process documentation, such as outlining research plans, note-taking during sessions, and synthesizing findings into reports or presentations.
-
Familiarity with organizing and storing research data and insights in a structured manner is a plus.
📝 Enhancement Note: For an intern role, the focus will be on potential and foundational understanding rather than a comprehensive portfolio of completed projects. Demonstrating the ability to learn and follow research processes is key.
💵 Compensation & Benefits
Salary Range:
- The hourly compensation varies by location within the specified states:
- San Francisco Bay Area, CA: $32.00 USD per hour
- California (outside SF Bay Area): $29.60 USD per hour
- Colorado: $27.20 USD per hour
- Utah, Arizona, and North Carolina: $25.60 USD per hour
Benefits:
-
Comprehensive health plans (Medical, Dental, and Vision insurance for full-time employees; interns may have access to certain benefits depending on employment status and duration).
-
Accrued Paid Time Off (PTO).
-
Life insurance.
-
Disability benefits.
-
Supplemental Optional Life Insurance Benefits.
-
Flexible Spending Account (FSA) Options.
-
Health Savings Account (HSA) with Company Match.
-
Access to fitness platforms like Wellhub and ClassPass.
-
Comprehensive Pet Insurance options.
-
Financial Wellbeing and Student Loan Programs.
-
Access to additional Mental Health & Wellbeing resources.
-
Pre-tax Commuter/Transit Benefits.
Working Hours:
-
This is a full-time internship position, requiring approximately 40 hours per week.
-
The internship duration is from June 8, 2026, to August 14, 2026.
📝 Enhancement Note: The salary is explicitly detailed by location, which is a significant advantage for candidates. Benefits are listed comprehensively, though specific eligibility for interns should be confirmed. The fixed duration and weekly hours are clearly stated.
🎯 Team & Company Context
🏢 Company Culture
Industry: Legal Tech / Online Legal Services. Rocket Lawyer operates at the intersection of technology and law, aiming to democratize access to legal services.
Company Size: Rocket Lawyer is a well-established company with a global presence, indicating a mid-to-large size organization that can offer structured internship programs and diverse teams.
Founded: Founded in 2008, Rocket Lawyer has over a decade of experience in the online legal service market, suggesting a mature yet innovative company culture.
Team Structure:
-
The UX Research team is collaborative, working closely with product management, design, and engineering.
-
Interns will report to a UX Research Lead, who will provide mentorship and guidance.
Methodology:
-
Rocket Lawyer emphasizes a user-centric approach, leveraging research to inform product decisions and enhance user experience.
-
The "Copilot AI" initiative suggests a focus on integrating advanced technologies, likely involving iterative development, data analysis, and potentially experimentation.
-
The company culture values curiosity, rigor, and continuous learning, which are essential for navigating the complexities of AI development and user research.
Company Website: https://www.rocketlawyer.com/
📝 Enhancement Note: The company context positions Rocket Lawyer as a leader in legal tech, with a growing focus on AI. This implies an environment where user research is valued and has a direct impact on product strategy, especially concerning new technologies like AI.
📈 Career & Growth Analysis
Operations Career Level: This is an internship role, typically for individuals early in their academic or professional journey. It's designed for skill development and gaining foundational experience.
Reporting Structure: The intern will report to a UX Research Lead, indicating a structured mentorship environment where learning and guidance are prioritized. They will also collaborate closely with designers, product managers, and engineers.
Operations Impact: While an intern's direct impact is usually focused on supporting research efforts, their findings can influence product direction for AI features. This role provides a pathway to understand how UX research contributes to product success and user adoption, particularly for innovative AI applications.
Growth Opportunities:
-
Skill Development: Gain hands-on experience in qualitative research methods, data synthesis, and contributing to research artifacts.
-
Industry Exposure: Learn about the legal tech industry and the unique challenges and opportunities of researching AI-powered products.
-
Mentorship: Receive guidance from experienced UX Researchers and cross-functional team members.
-
Networking: Build connections with professionals in UX, product management, design, and engineering.
-
Career Pathing: This internship can serve as a stepping stone for future UX research roles, potentially specializing in AI or other complex product areas.
📝 Enhancement Note: The growth opportunities are clearly geared towards developing foundational UX research skills and gaining exposure to AI product development within a specific industry context, making it an excellent launchpad for a career in UX.
🌐 Work Environment
Office Type: The role is remote, offering flexibility. However, candidates must reside in specific states (CA, AZ, CO, NC, UT), suggesting a need for compliance with local labor laws and potentially team coordination within those regions.
Office Location(s): While remote, the requirement to be in CA, AZ, CO, NC, or UT implies that Rocket Lawyer has a presence or operational ties to these states, potentially for legal, HR, or team-building purposes.
Workspace Context:
-
The remote nature encourages self-discipline and effective virtual collaboration tools.
-
Expect a fast-paced environment common in tech companies, especially those innovating with AI.
-
Collaboration will heavily rely on digital tools for communication, project management, and research data sharing.
Work Schedule:
-
The internship is full-time, 40 hours per week.
-
The fixed duration (June 8, 2026 - August 14, 2026) allows for focused project work and integration into the team.
📝 Enhancement Note: The remote aspect combined with state residency requirements is a key detail. The fast-paced nature and reliance on digital collaboration are standard expectations for tech internships.
📄 Application & Portfolio Review Process
Interview Process:
-
Recruiter Phone Screen: Initial screening to assess basic qualifications, interest, and fit.
-
Role Assessment(s): May involve a short assignment or case study related to UX research principles or AI concepts to evaluate practical skills.
-
Hiring Manager Interview: Deeper dive into experience, career aspirations, and understanding of UX research.
-
Panel Interviews: Interaction with multiple team members (e.g., UX Researcher, Designer, Product Manager) to assess collaboration skills and technical understanding.
-
Final Interview: Typically with a senior leader to confirm overall fit and potential.
Portfolio Review Tips:
-
For an intern, focus on showcasing academic projects, coursework, or any relevant personal projects.
-
Clearly articulate your role and contributions in each project.
-
Emphasize your understanding of research methodologies, even if applied in a simulated or academic setting.
-
If you have any projects related to technology, AI, or user interaction analysis, highlight them.
-
Be prepared to discuss your thought process, challenges faced, and what you learned from each project.
Challenge Preparation:
-
Be ready to discuss your approach to qualitative research tasks, such as designing interview questions or synthesizing findings.
-
Prepare examples of how you have collaborated with others on projects.
-
If a case study or assignment is given, treat it as an opportunity to demonstrate your problem-solving skills and research process.
-
Familiarize yourself with Rocket Lawyer's products and their mission to provide accessible legal services.
-
Consider how AI might enhance or change the user experience of legal services.
📝 Enhancement Note: The interview process is standard for internships, with a focus on assessing foundational skills, learning potential, and cultural fit. The portfolio advice is tailored for an intern, emphasizing academic and foundational work.
🛠 Tools & Technology Stack
Primary Tools:
-
Research Platforms: Familiarity with tools like Dovetail, UserTesting, Lookback, or similar platforms is preferred. These are used for conducting usability tests, managing user feedback, and organizing research insights.
-
Collaboration Tools: Proficiency with standard collaboration suites (e.g., Google Workspace, Microsoft 365) for document creation, scheduling, and communication.
-
Note-Taking & Synthesis Tools: Experience with tools for efficient note-taking during interviews and qualitative data analysis.
Analytics & Reporting:
CRM & Automation:
- Not directly specified, but general familiarity with project management and workflow tools is beneficial.
📝 Enhancement Note: The emphasis is on research tools, with specific preferred platforms mentioned. A basic understanding of analytics is also highlighted as beneficial, suggesting a desire for interns to grasp the broader product development context.
👥 Team Culture & Values
Operations Values:
-
User-Centricity: A strong focus on understanding and serving the user, particularly in the context of complex legal services and emerging AI technologies.
-
Curiosity & Rigor: Encouraging a mindset of exploration and critical thinking in research, ensuring findings are robust and reliable.
-
Collaboration: Valuing teamwork and cross-functional partnerships to achieve shared goals.
-
Innovation: Embracing new technologies like AI and finding ways to integrate them to improve user experience and company offerings.
-
Accessibility: A core value of Rocket Lawyer is making legal services accessible to everyone, which likely influences how user research is conducted and applied.
Collaboration Style:
-
Expected to be highly collaborative, with regular interaction across design, product management, and engineering teams.
-
Open communication and constructive feedback are likely encouraged during research readouts and team reviews.
-
The team operates in a fast-paced environment, requiring efficient communication and agile decision-making.
📝 Enhancement Note: The values align with a forward-thinking tech company focused on user needs and innovation, particularly in the AI space. The collaborative style is essential for a remote, cross-functional team.
⚡ Challenges & Growth Opportunities
Challenges:
-
Understanding AI Nuances: Grasping the complexities of human-AI interaction, user trust in AI, and the ethical considerations of AI in legal services.
-
Fast-Paced Environment: Adapting quickly to changing project priorities and deadlines common in tech internships.
-
Remote Collaboration: Effectively contributing and building relationships within a remote team setting.
-
Translating Insights: Bridging the gap between raw research data and actionable product recommendations.
Learning & Development Opportunities:
-
Specialized Research Skills: Deepen understanding and practical application of qualitative UX research methods.
-
AI Product Development: Gain firsthand experience in researching AI-driven features and understanding user adoption challenges.
-
Cross-Functional Exposure: Learn how UX research integrates with product management, design, and engineering workflows.
-
Industry Insight: Develop knowledge of the legal tech landscape and the business of online legal services.
-
Portfolio Building: Create tangible work samples that can be added to a professional portfolio.
📝 Enhancement Note: The challenges are realistic for an intern role focused on AI, and the learning opportunities are clearly defined, highlighting the developmental nature of the internship.
💡 Interview Preparation
Strategy Questions:
-
Research Approach: Be prepared to discuss how you would approach researching user trust in AI, or how you would design an interview to understand user perceptions of an AI assistant.
-
Problem-Solving: Expect questions about how you would handle conflicting research findings or how you would adapt your research plan if faced with unexpected challenges.
-
Collaboration: Discuss examples of how you have worked in teams, managed feedback, and communicated research findings to non-researchers.
-
AI Interest: Articulate your interest in AI and human-AI interaction, and why you believe UX research is crucial for AI product development.
Company & Culture Questions:
-
Research Rocket Lawyer's mission, products, and recent news, especially regarding their AI initiatives.
-
Understand how Rocket Lawyer aims to make legal services accessible and how AI fits into this mission.
-
Be ready to discuss why you are interested in an internship at Rocket Lawyer specifically, beyond just gaining experience.
Portfolio Presentation Strategy:
-
If you have a portfolio, select 1-2 key projects that best demonstrate your research skills.
-
For each project, clearly outline: the problem, your role, the methods used, key findings, and the impact or learnings.
-
For an AI-focused role, highlight any projects where you explored technology adoption, user interaction with complex systems, or user perceptions of new features.
-
Be concise and focus on storytelling – how your research led to insights and potentially recommendations.
-
If you don't have a formal portfolio, be prepared to discuss academic projects in detail, using specific examples of your work.
📝 Enhancement Note: Preparation advice is geared towards an intern, emphasizing foundational research skills, interest in AI, and understanding of Rocket Lawyer's mission, rather than deep industry experience.
📌 Application Steps
To apply for this UX Research Intern position:
-
Submit your application through the provided link on Greenhouse.
-
Customize your resume: Tailor your resume to highlight any coursework, projects, or experiences related to UX research, qualitative methods, AI, or technology. Use keywords from the job description.
-
Prepare your portfolio (if applicable): Gather any relevant academic projects, case studies, or examples of your work that showcase your research skills and interest in AI. Be ready to discuss them.
-
Research Rocket Lawyer: Understand their mission, products, and their strategic focus on AI. Prepare to articulate why you are a good fit for their culture and this specific role.
-
Practice interview responses: Prepare answers for common interview questions, focusing on your skills, motivation, and how you would approach the responsibilities outlined in the job description.
⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions. The salary information is provided as an estimate based on the data available.
Application Requirements
Candidates must be currently pursuing or have recently completed a degree in Human-Computer Interaction, Psychology, Sociology, Design, or a related field. Strong organizational skills, foundational knowledge of qualitative research methods, and the ability to work in a fast-paced environment are required.