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Internship Ai In Education Jobs (NOW HIRING)

The SilverLogic

AI Engineer Internship

Boca Raton, FL · On-site

... education, workflow automation, custom tools, and implementation support. We are now building a ... It is about applying AI in real business environments and helping turn ideas into working systems.

The SilverLogic

AI Engineer Internship

Boca Raton, FL · On-site

... education, workflow automation, custom tools, and implementation support. We are now building a ... It is about applying AI in real business environments and helping turn ideas into working systems.

SilverLogic

AI Engineer Internship

Boca Raton, FL · On-site

... education, workflow automation, custom tools, and implementation support. We are now building a ... It is about applying AI in real business environments and helping turn ideas into working systems.

The SilverLogic

AI Engineer Internship

Boca Raton, FL · On-site

... education, workflow automation, custom tools, and implementation support. We are now building a ... It is about applying AI in real business environments and helping turn ideas into working systems.

HX5 LLC

NASA Internship Coordinator

Cleveland, OH · On-site

NASA Internship Coordinator Education Coordinator HX5 is an award-winning provider of engineering ... Bachelor's in education, Business or Science. Other Position Requirements: * Proof of 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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Internship Ai In Education jobs near you
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.

Junior Software Engineer (AI-Forward)

Texas Sports Academy Main

Austin, TX • On-site

Full-time

Re-posted 5 days ago

Job description

As a Junior Software Engineer with Texas Sports Academy, you'll help build the software that runs our school, student records, academic mastery tracking, training data, parent portals, admissions, and the AI-powered tools our guides and coaches use every day. This is an early-career, AI-forward seat. You'll work directly with the founders and senior engineers, ship code every week with AI in your loop, and grow into the LLM-powered features that make our school feel nothing like a traditional school.

What You Will Be Doing
  • Building and shipping product features across the full stack every week, with AI coding tools running alongside you.
  • Contributing to real LLM-powered product features: tutoring agents, parent-facing copilots, coach-facing dashboards, retrieval over student data, and the evals behind them.
  • Working directly with the founders and senior engineers on scope and trade-offs, no PM layer in between.
  • Picking up ownership of smaller systems end-to-end and growing into bigger ones.
  • Running your own AI coding workflow, prompts, subagents, custom tools, MCP servers, and getting sharper at it every week.
  • Writing evals and regression tests for AI features the same way you'd write unit tests for classical code.
What You Will NOT Be Doing
  • Pretending AI is optional. If you're not already coding with Claude Code, Cursor, Codex, or an equivalent agent loop, this role is not for you.
  • Sitting in status meetings all day. Few meetings, more shipping.
  • Working on a narrow slice of a giant codebase.
  • Waiting around for tickets. You'll be in the room when we decide what to build.
Key Responsibilities
  • Ship production code and AI features that real students, parents, and staff rely on every day.
  • Own smaller systems and features end-to-end as you ramp up.
  • Move fast. Features go from idea to production in days, not quarters, without breaking things.
  • Level up your AI-engineering chops alongside a senior team.

Requirements

  • Bachelor's or master's degree in Computer Science, Engineering, Math, or Physics.
  • Based in Austin, TX (or within commuting distance)
  • 0 to 2 years of full-time engineering experience. Strong internships, side projects, and shipped personal work count.
  • Daily, fluent use of AI coding tools (Claude Code, Cursor, Codex, Windsurf, Aider, or equivalent) as your default way of writing software.
  • Comfortable in a modern web stack (TypeScript / React / Node or Python / Postgres / AWS or GCP).
  • Excellent written English.
Nice to Have
  • At least one shipped LLM-powered project, school project, hackathon, or side project, with some kind of eval story.
  • Agent frameworks (LangGraph, CrewAI, Mastra, custom), vector search / RAG, evals (Braintrust, LangSmith, custom), prompt caching, MCP servers, structured output / tool-use, or voice agents.
  • Public GitHub or a personal AI project we can actually try.
  • A personal project you built because you wanted to.
  • Background in education, edtech, or sports.

Apply