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Internship Artificial Intelligence Engineer Jobs

Insperity

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

We are seeking an Artificial Intelligence Engineer III to join our team Summary: This position is responsible for designing, delivering, and owning complex, production grade artificial intelligence ...

Insperity

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

We are seeking an Artificial Intelligence Engineer III to join our team Summary: This position is responsible for designing, delivering, and owning complex, production grade artificial intelligence ...

CreditOne

Lead Artificial Intelligence Engineer

Las Vegas, NV · On-site

$99K - $130K/yr

Description Position Summary The Lead Artificial Intelligence Engineer develops and produces AI and machine learning solutions supporting banking and credit card businesses. This role focuses on ...

Henderson Scott

Artificial Intelligence Engineer

Raleigh, NC · On-site

$53.75 - $69.25/hr

Senior AWS AI Platform Engineer - Generative AI | RAG | Agentic AI Location: Raleigh, NC (Hybrid) Salary: $110,000 - $130,000 + Benefits I'm currently supporting a leading enterprise organisation as ...

Covestro

Senior Artificial Intelligence Engineer

Baytown, TX · Hybrid

$95K - $130K/yr

The Senior Artificial Intelligence (AI) Engineer designs, develops, and deploys artificial intelligence solutions across the organization. This role bridges the gap between theoretical AI/ML models ...

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How much do internship artificial intelligence engineer jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for internship artificial intelligence engineer in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Internship Artificial Intelligence Engineer position, and why are they important?

To thrive as an Internship Artificial Intelligence Engineer, you need a solid understanding of programming languages such as Python or Java, foundational knowledge of machine learning concepts, and coursework or experience in computer science or related fields. Familiarity with machine learning frameworks like TensorFlow or PyTorch, and experience using data analysis tools are highly beneficial. Strong problem-solving ability, effective communication, and an eagerness to learn set outstanding candidates apart. These skills ensure you can contribute to real projects, collaborate with teams, and adapt quickly in a dynamic technology-driven environment.

What is an Internship Artificial Intelligence Engineer job?

An Internship Artificial Intelligence Engineer job involves assisting in the development, testing, and implementation of AI models and algorithms. Interns work with machine learning frameworks, data preprocessing, and model optimization under the supervision of experienced engineers. They may also contribute to research, software development, and problem-solving tasks related to AI applications. This role provides hands-on experience in AI technologies, helping interns build technical skills and industry knowledge.

What types of projects or tasks do Internship Artificial Intelligence Engineers typically work on?

As an Internship Artificial Intelligence Engineer, you may assist with data preprocessing, building and training machine learning models, evaluating algorithm performance, and supporting the deployment of AI solutions. Often, interns collaborate closely with senior engineers and data scientists, participating in code reviews, brainstorming sessions, and project meetings. You might also help with literature research, documentation, or creating visualizations to communicate findings. These hands-on experiences expose you to real-world AI challenges and offer valuable mentorship opportunities while developing your technical skills.

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Internship Artificial Intelligence Engineer jobs near you
Infographic showing various Internship Artificial Intelligence Engineer job openings in the United States as of July 2026, with employment types broken down into 80% Full Time, 16% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.
Artificial Intelligence Engineer

Artificial Intelligence Engineer

Harrison Clarke

Hayward, CA • On-site

$250K - $400K/yr

Other

Medical, Dental, Vision, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

AI Engineer - Defense Robotics

Location: San Francisco (On-Site)

Compensation: $250,000 - $400,000 base + Equity


Most autonomy work never leaves the simulator. The model performs, the demo lands, and then it meets a real world environment and falls apart the first time the lighting is wrong or something moves that wasn't supposed to. This role is the opposite of that. The systems here run in the field, in real world environments, with people depending on the output.


An early-stage defense company is building the intelligence layer for fleets of robots: a foundation model that takes a natural-language command from a human operator and turns it into coordinated sensing, decision-making, and action across many machines at once.


The hard, unsolved part is the model that makes them act like they share one mind. That is the part you would own.


As an AI Engineer, you would architect across perception, reasoning, and control rather than picking up a slice someone else scoped. Day-to-day includes training and evaluating VLA models, building the architectures for multimodal fusion and continual learning, giving agents memory and tool use, and pushing all of it from research into real-time inference that runs onboard while the hardware is in motion. You would also be in the field for trials, watching your work hold or break under real constraints and fixing it on the spot.


They're coming off a colossal funding round but are still early enough that you will help set the culture and the process. The work is demanding and the pace is fast but the payoff is that what you build gets deployed instead of archived.


The fit: you have spent at least two years shipping AI models, ideally in robotics, agents, autonomous systems, or anything that has to work in real time. You are strong in computer vision, deep learning, or multimodal architectures such as VLMs and transformers. You understand distributed training, fine-tuning, and reinforcement learning, and you have personally carried something from prototype to product in a place that moved fast.


Non-negotiable: the role requires access to U.S. export controlled information, so you must be a U.S. Person.


On offer: meaningful equity, top-of-range salary package, fully covered medical, dental, and vision, strong PTO, relocation support where eligible, and a team pulled from the top of autonomy, AI, and national security. Backed by well-known defense and frontier investors.


If the work you most want to do is autonomy that ships to real systems and matters when it gets there, this is worth a conversation.

Apply