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User Research Intern Jobs in California (NOW HIRING)

Dedalus Labs

Product Manager Intern

San Francisco, CA · On-site

Product Manager Intern @ Dedalus Labs Mission Dedalus Labs is an AI research neolab building ... User research and customer discovery. * Product launches and feature validation. * Internal tooling ...

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How much do user research intern jobs pay per month?

As of Aug 25, 2026, the average monthly pay for user research intern in California is $6,355.17, according to ZipRecruiter salary data. Most workers in this role earn between $4,358.33 and $7,566.67 per month, depending on experience, location, and employer.

What is a user research intern?

A User Research Intern assists in collecting and analyzing user insights to help improve products or services. They support research activities such as conducting interviews, usability testing, and surveys. Interns work closely with designers, product managers, and researchers to identify user needs and pain points. This role provides hands-on experience in qualitative and quantitative research methods.

What are the typical responsibilities of a user research intern, and how do they contribute to the team?

As a User Research Intern, you can expect to support the planning and execution of studies such as user interviews, surveys, usability tests, and data analysis. Interns often assist in recruiting participants, collecting feedback, synthesizing findings, and preparing presentations to share insights with designers and product teams. You'll work closely with experienced researchers and cross-functional stakeholders, gaining hands-on experience in the user research process and learning how research impacts product decisions. This role provides valuable exposure to real-world research methods and is an excellent stepping stone for career growth in UX or related fields.

What are the key skills and qualifications needed to thrive as a user research intern, and why are they important?

To thrive as a User Research Intern, you need a foundational understanding of research methods, user-centered design principles, and basic data analysis, often supported by coursework in psychology, human-computer interaction, or a related field. Familiarity with tools such as survey platforms (e.g., SurveyMonkey), usability testing software (e.g., UserTesting), and spreadsheet or data visualization tools is usually expected. Strong communication, attention to detail, and curiosity set top candidates apart in this role. These skills and qualities are essential for gathering actionable user insights that inform product design and improve user experiences.

What are the most commonly searched types of User Research jobs in California?

The most popular types of User Research jobs in California are:

What are popular job titles related to User Research Intern jobs in California?

For User Research Intern jobs in California, the most frequently searched job titles are:

What job categories do people searching User Research Intern jobs in California look for?

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What cities in California are hiring for User Research Intern jobs?

Cities in California with the most User Research Intern job openings:

User Research Intern jobs near you
Infographic showing various User Research Intern job openings in California as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $76,262 per year, or $36.7 per hour.

PhD Research Intern AI Memory & Personalized Education

Cupertino, CA • On-site

7Edu Impact Academy
See more jobs at 7Edu Impact Academyexternal

$5.0K/mo

Full-time

Re-posted 28 days ago

Job description

About 7EDU

7EDU is an education technology organization dedicated to long-term academic planning and student development. For over a decade, we have supported K–12 learners through structured advising, college admissions strategy, and personalized mentorship, while building proprietary tools and frameworks to support scalable, data-informed guidance.
Our AI systems are designed to support longitudinal educational decision-making — integrating student progress, parental input, and instructional context to enable personalized, responsible, and evidence-based support.

About the Role
We are seeking a PhD-level researcher for a 10–12 week summer internship focused on a critical technical and design challenge: Educational AI Memory. The selected candidate will define how an AI system effectively retains, synthesizes, and utilizes long-term context from multiple perspectives to drive truly personalized education.
We are building an advanced AI platform designed to facilitate long-term educational planning and decision-making across three key stakeholders: Students, Parents, and Teachers. This role combines theoretical framework design, applied AI prototyping, and empirical validation in a live product environment.
Key Responsibilities

 • Framework Design: Develop a theoretical framework for “Triangulated AI Memory” within an educational context.
 • Applied Research: Collaborate with the engineering team to prototype memory architectures (e.g., RAG systems, vector stores, long-term context management) aligned with pedagogical objectives.
 • User Modeling: Explore and formalize methods for representing evolving student, parent, and teacher perspectives within AI systems.
 • Validation Studies: Design and conduct qualitative and/or quantitative research to evaluate system utility, trust, and personalization effectiveness.
 • Product Translation: Translate research concepts into actionable technical specifications.
 • Publication: Contribute to a co-authored paper targeting top-tier venues (e.g., CHI, LAK, EDM, NeurIPS) based on the summer’s research.

Qualifications
• Currently enrolled in a PhD program in Computer Science, Human-Computer Interaction, Artificial Intelligence, Learning Sciences, or a related field, with a research focus in machine learning, memory architectures, user modeling, or human-centered AI
 • Strong track record of research in AI and machine learning
 • Demonstrated experience in User Modeling, Recommender Systems, Large Language Models (LLMs), or related areas
 • Solid understanding of the ethical, privacy, and design implications of AI in human-centered environments
 • Ability to translate theoretical research concepts into clear, actionable product and technical specifications
Please email your application to: hiringteam@7edu.org 
Email Subject: AI Research Internship FULL NAME 

  • Resume
  • A brief cover letter outlining your research interests regarding AI memory or user modeling.
  • A link to Google Scholar or an attachment of one relevant writing sample/paper.