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Intern Ai Coding Trainer Jobs in Texas (NOW HIRING)

Principal AI Engineer

Austin, TX · On-site +1

$208K - $255K/yr

Upskill and mentor existing engineering teams on effective use of coding agents, LLM-based workflows, and AI-native development practices * Develop training, playbooks, standards, and internal best ...

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Intern Ai Coding Trainer information

What is an Intern AI Coding Trainer?

Intern AI Coding Trainers are individuals, typically students or recent graduates, who assist in teaching and developing artificial intelligence (AI) and programming skills, often as part of an internship program. They may help design coding exercises, provide feedback to learners, and support classroom or online instruction. Their role often involves learning on the job while contributing to educational projects and gaining experience in both AI and teaching methodologies.

What are the key skills and qualifications needed to thrive as an Intern AI Coding Trainer?

To thrive as an Intern AI Coding Trainer, you need a solid understanding of programming languages (such as Python), foundational knowledge in machine learning concepts, and preferably progress toward a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and version control systems is typically required. Strong communication, patience, and the ability to explain complex technical concepts simply are crucial soft skills for this role. These skills ensure effective training delivery, foster learner engagement, and contribute to the successful development of AI skills in trainees.

How does an Intern AI Coding Trainer typically collaborate with senior engineers and learners during a project?

As an Intern AI Coding Trainer, you will often act as a bridge between senior engineers and learners by assisting with coding workshops, answering technical questions, and helping to create or refine training materials. You'll collaborate with senior engineers to understand project requirements and teaching strategies, while also providing learners with hands-on support and feedback. This role offers a dynamic environment where you can develop both your technical and communication skills, and gain valuable insight into AI project workflows.

What is the difference between Intern Ai Coding Trainer vs Intern Data Science Intern?

AspectIntern Ai Coding TrainerIntern Data Science Intern
Required CredentialsBasic programming knowledge, coursework in AI or codingBasic programming, statistics, or data analysis coursework
Work EnvironmentTech companies, educational platforms, AI startupsData-driven companies, research labs, tech firms
Employer & Industry UsageUsed in AI-focused roles, coding bootcamps, online educationCommon in data analysis, research projects, analytics teams

Intern Ai Coding Trainers typically focus on teaching and guiding students or junior developers in AI coding skills, often within educational or tech environments. Intern Data Science Interns work on data analysis, modeling, and research tasks. While both roles require programming knowledge, the AI Coding Trainer emphasizes teaching and training, whereas the Data Science Intern focuses on data-driven project work.

What are the most commonly searched types of Ai Coding Trainer jobs in Texas?

The most popular types of Ai Coding Trainer jobs in Texas are:

What cities in Texas are hiring for Intern Ai Coding Trainer jobs?

Cities in Texas with the most Intern Ai Coding Trainer job openings:

Junior Software Engineer (AI-Forward)

Texas Sports Academy Main

Austin, TX • On-site

Full-time

Re-posted 13 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.