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How much do ai developer internship jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for ai developer internship in Spring, TX is $20.37, according to ZipRecruiter salary data. Most workers in this role earn between $16.49 and $21.59 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 Spring, TX as of August 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $42,377 per year, or $20.4 per hour.

Autonomy Software Engineering Internship, World Modeling

Persona AI

Houston, TX • On-site

Full-time

Posted 24 days ago

Job description

Job Title: Autonomy Software Engineering Intern, World Modeling
Department: Robotics Software Engineering
Employment Type: Internship, Fall 2026
FLSA: Exempt
Location: Houston, TX - Onsite
Persona AI is developing and commercializing rugged, multi-purpose humanoid robots that perform real work. Persona's founding team has a decades-long history in humanoid robotics, bionics, and product development delivering robust hardware that has touched the stars, worked miles below the surface of the ocean, and even roamed Disney Parks. Our mission is focused squarely on shipping beautiful, reliable products at massive scale, while building a customer-focused team to achieve these aims.
We're looking for an Autonomy Software Engineering Intern to help build the world modeling layer of our autonomy stack. You will work hands-on with NVIDIA Cosmos3, curating real-world industrial video data from our customer facilities and fine-tuning models to give our humanoid robots a grounded understanding of the environments they operate in.
This is a paid summer internship based in Houston, TX. You will report to the Behavior Coordination Lead and work directly with the autonomy team alongside our machine learning, perception, and simulation engineers.
Your Role
  • Design and implement autonomy and behavior coordination algorithms for an industrial humanoid platform
  • Work with manipulation, locomotion, and perception engineers to integrate robot skills into autonomous robot behaviors
  • Implement data curation pipelines that enable our robots to understand a variety of real-world industrial tasks.
  • Develop synthetic data generation pipelines for post-training of humanoid world models
  • Design and implement pipelines for autonomous behavior evaluation, benchmarking, and regression testing
  • Turn raw industrial video footage (shipyards, steel fabrication, welding cells) into structured, high-quality training data.
  • Design and evaluate reasoning benchmarks that measure how well a fine-tuned world model grounds language queries in real shipyard and fabrication-plant scenes.
We're Looking For
  • Currently pursuing a BS, MS, or PhD in Robotics, Computer Science, Machine Learning, Electrical Engineering, or a related field; recent graduates are also welcome.
  • Hands-on experience training, fine-tuning, or evaluating modern deep learning models in PyTorch.
  • Strong Python skills; comfortable writing data processing scripts, training loops, and evaluation harnesses.
  • Working familiarity with at least one vision-language model, large language model, or video understanding model.
  • Practical experience building data pipelines: ingestion, filtering, labeling workflows, deduplication, train/val/test splits.
  • Comfortable working in Linux environments with Git, containers (Docker), and cloud GPU infrastructure.
  • Self-directed and able to make steady progress on an open-ended research problem with weekly check-ins rather than daily direction.
Preferred or Bonus Qualifications
  • Direct experience with NVIDIA Cosmos or comparable world foundation models.
  • Exposure to NVIDIA Isaac Sim, Omniverse, or OpenUSD for synthetic data generation and scene variability.
  • Familiarity with humanoid or mobile-manipulator robotics, ROS/ROS 2, and the broader autonomy stack.
  • Experience with motion capture data, egocentric video capture, or first-person dataset construction.
  • Exposure to behavior trees, task and motion planning, or LLM-driven planning architectures.
  • Familiarity with NVIDIA Isaac Lab, NIM microservices, or the Hugging Face training ecosystem.
  • Prior internship, research, or open-source work on physical AI, embodied reasoning, or robot learning.
Why join Persona AI?
  • You'll work on technology that's redefining the possibilities of robotics and human interaction.
  • Work alongside passionate teammates who value diversity, creativity, and continuous learning.
  • Enjoy full access to advanced prototyping tools, labs, and the freedom to experiment and innovate.
  • We offer competitive intern compensation, a flexible work environment, and meaningful technical mentorship.

Persona AI embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.

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