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Python Tutor Jobs in Austin, TX (NOW HIRING)

Senior Gen AI Engineer

Austin, TX · On-site

$103K - $142K/yr

Write clean, maintainable code in Python, ensuring functionality and performance in the development ... Subsidized Back-up Child/Elder Care & Tutoring * Career Planning & Coaching * $5,250 Tuition ...

AI Product Engineer

Austin, TX · On-site

$80K - $95K/yr

Backend API development experience using Python, Node.js, or C# * Experience designing ... Subsidized Back-up Child/Elder Care & Tutoring * Career Planning & Coaching * $5,250 Tuition ...

Showing results 41-46

Python Tutor information

See Austin, TX salary details

$13

$58

$85

How much do python tutor jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for python tutor in Austin, TX is $58.09, according to ZipRecruiter salary data. Most workers in this role earn between $47.88 and $65.96 per hour, depending on experience, location, and employer.

What is a Python tutor?

A Python Tutor is responsible for teaching students or professionals how to program in Python. This includes explaining fundamental concepts, helping with coding exercises, debugging issues, and providing guidance on best practices. Tutors may work with beginners or advanced learners, offering one-on-one tutoring, group sessions, or online instruction. The role requires strong Python skills, the ability to explain concepts clearly, and patience in assisting learners with different levels of experience.

What are the key skills and qualifications needed to thrive as a Python tutor?

To thrive as a Python Tutor, you need strong proficiency in Python programming, a solid understanding of computer science concepts, and a background in teaching or mentoring. Familiarity with online learning platforms, code-sharing tools, and, optionally, certifications such as PCAP (Certified Associate in Python Programming) are valuable. Excellent communication, patience, and the ability to break down complex topics into simple explanations help tutors connect with learners of varying skill levels. These skills are crucial for effectively guiding students, adapting to their needs, and fostering positive learning outcomes.

What are some typical challenges faced by Python tutors and how can they be addressed?

Python Tutors often encounter a diverse range of students with varying skill levels, learning speeds, and backgrounds, which can be challenging when tailoring lesson plans. Keeping students engaged, especially in remote or online settings, may require creative teaching strategies and regular feedback. Tutors can address these challenges by using interactive resources, adapting their approach to individual learning styles, and encouraging hands-on practice through real-world projects. Collaboration with other tutors or participation in professional communities can also provide support and fresh ideas for effective teaching.

What are the most commonly searched types of Python Tutor jobs in Austin, TX?

The most popular types of Python Tutor jobs in Austin, TX are:

What are popular job titles related to Python Tutor jobs in Austin, TX?

For Python Tutor jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Python Tutor jobs in Austin, TX look for?

The top searched job categories for Python Tutor jobs in Austin, TX are:

What cities near Austin, TX are hiring for Python Tutor jobs?

Cities near Austin, TX with the most Python Tutor job openings:

Infographic showing various Python Tutor job openings in Austin, TX as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 7% Part Time, and 6% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $120,832 per year, or $58.1 per hour.

Junior AI Software Engineer (Austin, TX)

Texas Sports Academy Main

Austin, TX • On-site

Full-time

Posted 19 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.