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Internship Ai Researcher Jobs (NOW HIRING)

$32 - $40/hr

Overview This internship centers on researching and developing advanced healthcare informatics solutions with a specialization in Agentic AI-AI systems capable of autonomous reasoning, decision ...

Internship

San Francisco, CA · On-site

$17.75 - $23.50/hr

Internship Opportunities We do not offer internships-everything is too fast, too critical, too ... We offer The opportunity to work at the vanguard of AI research and frontier biology, with world ...

Interns gain hands-on experience in biomedical informatics, data science, AI, clinical research, cybersecurity, and business operations-working alongside experts who support the NIH, FDA, and other ...

Job Summary : Ai2 is a Seattle based non-profit AI research institute focused on building ... interns, and contribute to open-source research efforts. Responsibilities : • Develop and ...

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As of Aug 9, 2026, the average monthly pay for internship ai researcher in the United States is $5,290.17, according to ZipRecruiter salary data. Most workers in this role earn between $3,000.00 and $7,500.00 per month, depending on experience, location, and employer.
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PhD Research Intern AI Memory & Personalized Education

7Edu Impact Academy

Cupertino, CA • On-site

$5.0K/mo

Full-time

Re-posted 13 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.