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Ai Coding Jobs in Austin, TX (NOW HIRING)

Varsity Tutors

Vibe Coding Tutor

San Marcos, TX · Remote

$18 - $40/hr

... Vibe Coding tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Vibe Coding Tutor

Round Rock, TX · Remote

$18 - $40/hr

... Vibe Coding tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Vibe Coding Tutor

Austin, TX · Remote

$18 - $40/hr

... Vibe Coding tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Jobtailor

Senior QA Engineer, AI

Austin, TX · On-site

$120 - $150/hr

Use AI coding agents to generate and maintain meaningful, risk-based test suites * Test agent behavior, including multi-step task execution, tool usage, failure recovery, safety enforcement, and ...

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All JobsAi Coding JobsAi Coding Jobs in Austin, TX

Ai Coding information

See Austin, TX salary details

$13

$32

$54

How much do ai coding jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for ai coding in Austin, TX is $32.72, according to ZipRecruiter salary data. Most workers in this role earn between $24.76 and $39.52 per hour, depending on experience, location, and employer.

What is an AI coding?

An AI Coding job involves developing, training, and optimizing artificial intelligence models and algorithms. Professionals in this role typically work with machine learning, deep learning, and data processing to create AI-driven applications. They use programming languages like Python and frameworks such as TensorFlow or PyTorch to build intelligent systems. AI coders may also fine-tune models, improve efficiency, and deploy AI solutions for various industries.

What does an AI coder do?

Professionals in AI Coding typically spend their days designing, writing, and debugging code for machine learning models or AI-driven applications. They often collaborate with data scientists, product managers, and engineers to define project requirements, process data, and integrate AI solutions into existing systems. Regular tasks may include training and testing models, improving algorithm performance, and documenting code or processes. You’ll also likely participate in team meetings and code reviews to ensure alignment and maintain high-quality standards. This dynamic environment provides continuous opportunities to learn and innovate within the field of artificial intelligence.

What skills and qualifications are needed for AI coding?

To thrive in an AI Coding role, a strong background in computer science, programming languages (such as Python or Java), and machine learning fundamentals is essential. Familiarity with AI frameworks (like TensorFlow, PyTorch), cloud platforms, and relevant certifications (such as TensorFlow Developer Certificate) is highly valuable. Strong analytical thinking, creativity, and effective teamwork are important soft skills for excelling in this position. These skills ensure you can develop robust AI solutions, adapt to evolving technologies, and collaborate effectively with cross-functional teams.

How difficult is AI coding?

AI coding as a job involves understanding programming languages like Python, machine learning frameworks, and data handling, which can be challenging for beginners. It requires strong problem-solving skills, knowledge of algorithms, and often a background in mathematics or computer science. Continuous learning and practical experience are essential to become proficient in this field.

How do I become an AI coder?

To become an AI coder, you should develop strong programming skills in languages like Python, learn machine learning frameworks such as TensorFlow or PyTorch, and gain knowledge of algorithms and data structures. Pursuing relevant education, such as a degree in computer science or related fields, and working on AI projects or internships can also help build practical experience.

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Ai Coding jobs near you
Infographic showing various Ai Coding job openings in Austin, TX as of August 2026, with employment types broken down into 62% Full Time, 20% Part Time, 6% Temporary, and 12% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $68,079 per year, or $32.7 per hour.

Senior Python Engineer - AI Coding Agent Evaluation (Freelance)

Mindrift

Austin, TX • On-site, Remote

$200/hr

Part-time

Re-posted 2 days ago

Job description

Please submit your CV in English and indicate your level of English proficiency.
Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.
What this opportunity involves:
We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.
You'll create challenging tasks and evaluation criteria within realistic simulated environments:
  • Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history
  • Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent
  • Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient
  • Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust

What this is NOT:
  • Not data labeling
  • Not prompt engineering
  • Not writing code from scratch - the agent writes most of the code; you guide and evaluate

What we look for:
  • 8+ years in software development
  • Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis
  • Experience writing tests (functional, integration)
  • English proficiency - B2+

Why this is hard:
Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.
How it works
Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate
Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.
Compensation:
Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks - up to the equivalent of $200/hr. Because payment is per task, a faster pace raises your effective hourly rate.

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