Mid Level UX Research Intern Jobs
Mid level ux research intern jobs go to researchers ready to own studies end to end, synthesize insights that shape product decisions, and guide junior colleagues with minimal oversight. Openings run across Technology & Software, Staffing & Recruiting, and Retail, with employers like Esri, Riot Games, and TikTok USDS Joint Venture hiring at this level now.
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We are seeking a Senior User Experience Researcher to help shape the future of agentic commerce and AI-powered experiences. This role will lead research that informs how customers discover, trust, adopt, and engage with intelligent systems that can recommend, assist with, and autonomously
execute financial tasks.
The ideal candidate is an experienced qualitative or mixed-methods researcher with expertise in human behavior, decision-making, trust, and emerging technologies. Partnering closely with Product, Design, Engineering, Data Science, Compliance, Risk, and Legal teams, this role will influence product strategy from opportunity identification through launch and optimization, ensuring AI-driven experiences are useful, usable, responsible, and aligned with
customer needs.
Key Responsibilities
Research Strategy & Leadership
- Define and execute a research roadmap supporting AI, agentic commerce, and emerging digital experiences.
- Identify customer needs, pain points, and opportunities across the end-to-end journey.
- Generate insights that influence product strategy, prioritization, and investment decisions.
AI, Agentic Commerce & Emerging Technology Research
- Investigate customer attitudes, behaviors, and expectations related to AI assistants, intelligent agents, and autonomous experiences.
- Evaluate trust, transparency, control, explainability, privacy, and willingness to delegate tasks to AI-powered solutions.
- Identify drivers, barriers, and risks associated with AI adoption, recommendations, financial guidance, and automated actions.
- Assess emerging AI capabilities and partner with product teams to validate concepts and opportunities before development.
Product & Experience Validation
- Lead qualitative and mixed-method research including but not limited too; interviews, usability studies, concept testing, surveys, diary studies,
field research, and longitudinal research.
- Evaluate customer comprehension, confidence, and interaction with AI-generated recommendations and decision-support experiences.
- Establish benchmarks and success metrics to measure customer experience, usability, trust, and business outcomes.
Consumer Intent & Decision Research
- Research how customers articulate financial needs, goals, and life events across AI assistants, conversational interfaces, search, and digital
channels.
- Develop intent frameworks that connect customer needs, shopping missions, and financial goals to products, benefits, and services.
- Analyze customer decision journeys from initial intent through evaluation, consideration, and application.
Stakeholder Influence & Research Excellence
- Translate complex findings into actionable insights and strategic recommendations.
- Present research to senior leaders and influence product, design, and investment decisions.
- Partner closely with Product, Design, Engineering, Data Science, Compliance, Risk, and Legal teams.
- Mentor researchers and contribute to research operations, standards, and best practices.
Qualifications (Required)
- 5+ years of experience conducting UX research using qualitative or mixed methods.
- 2+ years of experience researching AI-powered products, intelligent assistants, conversational interfaces, or agentic experiences.
- Experience influencing product strategy through customer insights.
- Strong expertise in qualitative and quantitative research methodologies.
- Excellent communication, facilitation, and storytelling skills.
- Experience partnering with Product Management, Design, and Engineering teams.
- Proven ability to translate ambiguous problems into clear research objectives and actionable recommendations.
Preferred
- Advanced degree in HCI, Information Design, Psychology or related field
- Demonstrated experience researching agentic commerce experiences
- Familiarity with responsible AI principles and human-centered AI design.
- Experience in financial services, fintech, healthcare, or other highly regulated digital product environments
The pay range that the employer in good faith reasonably expects to pay for this position is $112.11/hour - $175.18/hour. Our offered benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis. Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.
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Mid Level UX Research Intern Jobs: Frequently Asked Questions
How do I get a mid level ux research intern job?
Position yourself around ownership, not just participation. Highlight studies you led from recruiting through synthesis, decisions your insights directly influenced, and any cross-functional collaboration you drove. Your portfolio should show the full research arc, not just deliverables. Tailor applications to show how your existing depth matches what the team needs today, and be specific about the methods you've mastered.
Which companies hire mid level ux research interns?
Companies hiring mid level ux research interns right now include Esri, Riot Games, and TikTok USDS Joint Venture, based on current listings on Migrate Mate as of November 2026. At this level, hiring comes from a mix of established product companies and growth-stage teams building out their research practice for the first time.
Are there remote mid level ux research intern jobs?
Yes, remote and hybrid options are common at this level. About 28% of mid level ux research intern openings are remote or hybrid as of November 2026, reflecting how research workflows have adapted well to distributed teams. On-site roles do exist, particularly where in-person user sessions or embedded product collaboration is a priority.
How do I move up to a mid level ux research intern role?
The path to mid level is built through increasingly independent work over time. Early-career researchers grow into this level by taking ownership of full study cycles, moving beyond task execution to shaping research questions, and demonstrating measurable influence on product or design outcomes. Building fluency across multiple methods and accumulating examples of cross-functional impact signals readiness for mid level responsibilities.
Which industries hire the most mid level ux research interns?
Mid Level ux research intern roles concentrate in Technology & Software, Staffing & Recruiting, and Retail, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they maintain mature product teams that rely on ongoing user research to inform competitive design and development decisions.