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Internship React Developer Jobs in Austin, TX (NOW HIRING)

Data Scientist

Austin, TX ยท On-site

$101K/yr

... research project, internship or related occupation involving: 1. React js; 2. Retool, MongoDB, GraphQL; 3. Intermediate Programming with Python, 4. Programming in C/C++, 5. Data Structures ...

... research project, internship or related occupation involving: 1. React js; 2. Retool, MongoDB, GraphQL; 3. Intermediate Programming with Python, 4. Programming in C/C++, 5. Data Structures ...

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Internship React Developer information

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How much do internship react developer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for internship react developer in Austin, TX is $22.69, according to ZipRecruiter salary data. Most workers in this role earn between $18.37 and $24.09 per hour, depending on experience, location, and employer.

What is an internship React developer?

An Internship React Developer job is a temporary position where aspiring developers gain hands-on experience working with React.js, a popular JavaScript library for building user interfaces. Interns typically assist in developing web applications, fixing bugs, and collaborating with senior developers. This role helps interns enhance their coding skills, understand real-world development workflows, and gain exposure to industry best practices.

What are the typical responsibilities of an internship React developer?

As an Internship React Developer, you will typically work on tasks such as building or updating user interfaces using React.js, fixing bugs, writing unit tests, and assisting with documentation. You may participate in daily stand-up meetings, collaborate with other developers and designers, and receive guidance from senior engineers. Interns often contribute to real codebases, gaining hands-on experience with agile workflows, code reviews, and version control. This practical exposure helps you develop professional programming practices and understand how front-end teams operate in a workplace setting.

What are the key skills and qualifications needed to thrive as an internship React developer?

To thrive as an Internship React Developer, you need a solid understanding of JavaScript, React.js, HTML, and CSS, often supported by coursework or personal projects. Familiarity with version control systems like Git, basic testing tools, and IDEs such as Visual Studio Code is commonly expected. Strong problem-solving abilities, teamwork, and openness to feedback are valuable soft skills in this role. These skills ensure you can contribute effectively to real projects, learn quickly from mentors, and adapt to collaborative software development environments.

What are the most commonly searched types of React Developer jobs in Austin, TX?

The most popular types of React Developer jobs in Austin, TX are:

What job categories do people searching Internship React Developer jobs in Austin, TX look for?

The top searched job categories for Internship React Developer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Internship React Developer jobs?

Cities near Austin, TX with the most Internship React Developer job openings:

Infographic showing various Internship React Developer job openings in Austin, TX as of August 2026, with employment types broken down into 82% Full Time, 4% Part Time, and 14% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $47,202 per year, or $22.7 per hour.

Junior Software Engineer (AI-Forward)

Texas Sports Academy Main

Austin, TX โ€ข On-site

Full-time

Re-posted 15 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.
  • 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.
  • Based in Austin, TX.
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.