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Internship Ai Coding Jobs (NOW HIRING)

Mantx LLC

Junior Software Developer

Taylors, SC · On-site

$50K/yr

... AI-assisted development tools like Claude Code and Codex -- think of them as very smart interns who never sleep, never complain, and occasionally hallucinate a function that almost works. As a Junior ...

ULINE

Software Development Internship - Summer 2027

Kenosha, WI · On-site

$18.75 - $24.75/hr

Software Development Internship Paid Internship - Summer 2027 Corporate Headquarters 12575 Uline ... Troubleshoot and resolve software-related issues and use unit testing, Git and AI coding assistants ...

Jobgether

Practical software development experience gained through professional work, internships, academic projects, open-source contributions, or strong technical portfolios. * Experience using AI coding ...

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How much do internship ai coding jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for internship ai coding in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

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

To thrive as an AI Coding Intern, you need a solid understanding of programming languages like Python, foundational knowledge in algorithms, data structures, and basic machine learning concepts, often supported by coursework or personal projects. Familiarity with tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems like Git is typically expected. Strong problem-solving skills, eagerness to learn, and effective communication make an intern stand out. These skills and qualities are crucial for successfully contributing to AI projects, learning from mentors, and adapting to the fast-paced field of artificial intelligence.

What is the difference between Internship Ai Coding vs Data Analyst Intern?

AspectInternship Ai CodingData Analyst Intern
Required SkillsProgramming, AI/ML concepts, Python, TensorFlowData analysis, Excel, SQL, statistical skills
Work EnvironmentTech companies, AI startups, R&D teamsBusiness, finance, marketing departments
Industry UsageArtificial Intelligence, Machine Learning, Software DevelopmentBusiness Intelligence, Data Management, Reporting

Internship Ai Coding focuses on developing AI models and programming skills in a tech environment, often involving machine learning projects. Data Analyst Internships emphasize analyzing data sets, creating reports, and supporting business decisions. Both roles require technical skills but differ in their focus and industry applications.

What is an AI coding internship?

An AI coding internship is a temporary position where students or recent graduates work with artificial intelligence technologies, focusing on programming and software development tasks. Interns typically assist in designing, coding, and testing AI models or applications under the guidance of experienced professionals. These internships provide hands-on experience with machine learning, data analysis, and software engineering, often using languages like Python or frameworks such as TensorFlow and PyTorch. The goal is to help interns gain practical skills and industry knowledge that can support a future career in AI or related fields.

What types of projects can I expect to work on during an AI coding internship?

As an AI Coding intern, you can typically expect to contribute to projects such as developing machine learning models, automating data processing tasks, and supporting the integration of AI features into existing applications. Interns often collaborate with data scientists and software engineers, gaining hands-on experience with real datasets and industry-standard tools. Daily responsibilities might include coding, testing algorithms, participating in code reviews, and presenting project updates to the team. This role offers a valuable opportunity to build technical skills while working in a collaborative, mentorship-driven environment.
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Internship Ai Coding jobs near you
Infographic showing various Internship Ai Coding job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

Junior AI Software Engineer (Austin, TX)

Texas Sports Academy Main

Austin, TX • On-site

Full-time

Posted 7 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.