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Internship Ai In Education Jobs (NOW HIRING)

Bild AI

AI/SWE Intern

San Francisco, CA · On-site

$17.75 - $23.50/hr

We are regularly knee-deep in the messy, unglamorous work Bonus points (if any) * Applied CV/ML ... SF-based for the course of the internship, we'll cover logistics

Atlas Energy Solutions

AI Developer

Austin, TX · Remote

Understanding of AI/ML/LLM concepts (prompting, embeddings, retrieval) through coursework, personal projects, or internship * AI/ML/LLM concepts or project experience * Eligible to work in the U.S ...

Atlas Energy Solutions

AI Developer

Austin, TX · On-site

Understanding of AI/ML/LLM concepts (prompting, embeddings, retrieval) through coursework, personal projects, or internship * AI/ML/LLM concepts or project experience * Eligible to work in the U.S ...

Atlas Energy Solutions

AI Developer

Austin, TX · Remote

Understanding of AI/ML/LLM concepts (prompting, embeddings, retrieval) through coursework, personal projects, or internship * AI/ML/LLM concepts or project experience * Eligible to work in the U.S ...

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How much do internship ai in education jobs pay per year?

As of Aug 13, 2026, the average yearly pay for internship ai in education in the United States is $38,103.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,500.00 and $46,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI in education intern, and why are they important?

To thrive as an AI in Education Intern, you need a solid understanding of machine learning fundamentals, programming languages such as Python, and a background in education or instructional design. Familiarity with AI development tools (like TensorFlow, PyTorch), data analysis platforms, and learning management systems is often expected. Strong communication, problem-solving abilities, and a collaborative mindset are valuable soft skills for success in cross-functional educational projects. These competencies enable interns to contribute innovative solutions and effectively support the integration of AI technologies in educational environments.

What types of projects can interns expect to work on in an AI in education internship?

Interns in AI in Education roles often contribute to projects such as developing adaptive learning tools, analyzing educational data to inform personalized learning, or supporting the creation of intelligent tutoring systems. You may collaborate closely with data scientists, educators, and software engineers to research and implement AI algorithms that improve educational outcomes. These projects provide hands-on experience with real-world applications of AI in an academic setting, and interns are usually encouraged to share ideas and present findings, fostering both technical and communication skills.

What is an internship in AI in education?

An Internship in AI in Education is a temporary position where students or recent graduates work with organizations applying artificial intelligence to the education sector. Interns typically assist with developing, testing, or implementing AI-driven tools such as adaptive learning platforms, automated grading systems, or personalized tutoring applications. These internships provide hands-on experience with cutting-edge technology while also offering insight into how AI can help improve teaching and learning outcomes. Interns may work on data analysis, machine learning models, software development, or research projects under the guidance of experienced professionals.
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Infographic showing various Internship Ai In Education job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $38,103 per year, or $18.3 per hour.

PhD Research Intern AI Memory & Personalized Education

7Edu Impact Academy

Cupertino, CA • On-site

$5.0K/mo

Full-time

Retirement

Re-posted 16 days ago

Job description

Benefits:
  • 401(k) matching
  • Flexible schedule
  • Opportunity for advancement

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.

Flexible work from home options available.