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How much do ai developer internship jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for ai developer internship in Houston, TX is $21.86, according to ZipRecruiter salary data. Most workers in this role earn between $17.69 and $23.17 per hour, depending on experience, location, and employer.

What is an AI developer internship?

An AI Developer Internship is a temporary position designed for students or recent graduates to gain practical experience in artificial intelligence development. Interns typically work on projects involving machine learning, data analysis, and software engineering under the supervision of experienced AI professionals. The internship provides hands-on experience with AI tools, programming languages like Python, and frameworks such as TensorFlow or PyTorch. It is an excellent opportunity to apply academic knowledge to real-world challenges and build a foundation for a future career in AI.

What types of projects can an AI developer intern expect to work on during their internship?

As an AI Developer Intern, you can expect to work on a variety of projects that may include building and testing machine learning models, assisting with data preprocessing, and contributing to the development of AI-powered applications. Interns often collaborate closely with data scientists, software engineers, and product managers, gaining exposure to the full lifecycle of AI solutions. These projects are designed to give hands-on experience with real-world datasets and modern AI frameworks, while also helping you develop practical coding and problem-solving skills relevant to the industry.

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

To thrive as an AI Developer Intern, you need a strong grasp of programming languages like Python, foundational knowledge in machine learning, and relevant coursework in computer science or data science. Familiarity with tools such as TensorFlow, PyTorch, and version control systems like Git is typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills that help interns contribute meaningfully to team projects. These skills and qualities are essential for quickly learning, implementing AI models, and collaborating within fast-paced development environments.

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Ai Developer Internship jobs near you
Infographic showing various Ai Developer Internship job openings in Houston, TX as of September 2026, with employment types broken down into 28% Internship, and 72% Full Time. Highlights an 100% In-person job distribution, with an average salary of $45,476 per year, or $21.9 per hour.

AI Applications Engineering Internship

Fervo Energy Company

Houston, TX • On-site

$16 - $20.75/hr

Internship

Posted 8 days ago

Job description

Job Type
Internship
Description
Internship Overview
You won't be running coffee orders or shuffling paperwork this summer. At Fervo, interns are handed something real: a project of your own, scoped with your manager on day one and yours to drive for the full 12 weeks. You'll work side-by-side with the teams building the next generation of geothermal energy, tackling problems that genuinely move the business forward. At the end of the summer, you'll present your work to our executive leadership team, department leads, and fellow interns, sharing real results with a real audience. This is a real seat at the table - and a real shot at what comes next.
Position Description
Fervo Energy is developing next-generation geothermal power to deliver firm, carbon-free energy at scale, anchored by our flagship Cape Station project in Milford, Utah. We're building a dedicated AI team to unlock transformational value across drilling, reservoir modeling, operations, and commercial strategy, and we're looking for a graduate-level AI Applications Engineering Intern (PhD candidates strongly preferred) to help lead the way.
You'll apply cutting-edge AI to real problems in geothermal development, from hybrid AI-physics models for subsurface forecasting to RAG systems for knowledge management and predictive maintenance models, serving as an internal consultant on Fervo's Strategy Team and partnering with end-user departments to guide decision-makers through complex technical, operational, and commercial challenges
Requirements
Responsibilities
  • Develop, train, and evaluate advanced AI models (LLMs, ML, time-series, hybrid physics-informed)
  • Collaborate with end-user teams to scope and deliver applied AI solutions
  • Contribute to Fervo's centralized AI infrastructure and data architecture
  • Document methodologies and provide clear technical communication to technical and non-technical stakeholders
  • Present findings and recommendations to cross-functional teams, including senior leadership

Required Qualifications
  • Graduate student or PhD candidate in Computer Science, Applied Mathematics, or a related quantitative field with a focus on AI/ML
  • Strong proficiency in Python and machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn)
  • Demonstrated research experience in one or more of: large language models, time-series analysis, physics-informed ML, optimization, or reinforcement learning
  • Ability to apply theoretical knowledge to practical, messy, real-world datasets
  • Excellent problem-solving, communication and collaboration skills
  • Self-starter with the ability to scope and drive projects independently

Preferred Qualifications
  • Experience with energy systems, industrial operations, or geoscience applications
  • Prior experience with RAG architectures, data engineering, or scalable model deployment

Apply