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Internship Artificial Intelligence Engineer Jobs

USA_Artificial Intelligence Engineer

Frisco, TX · On-site

$114K - $151K/yr

Bellevue, WA (Hybrid - 3 days/week) or Remote Role Overview We're building a new product in the real estate tech space and are looking for a Senior AI Engineer to join our founding AI team. You'll ...

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Internship Artificial Intelligence Engineer information

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$11

$19

$29

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

As of Jul 17, 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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What cities are hiring for Internship Artificial Intelligence Engineer jobs? Cities with the most Internship Artificial Intelligence Engineer job openings:
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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 (AI) Engineer III (2316)

Morson Talent

Melbourne, FL • Hybrid

$55 - $62/hr

Other

Posted 13 days ago


Job description

Job Description Title: Artificial Intelligence (AI) Engineer III (2316) Location: Melbourne, Florida Openings: 1 Work Model: Hybrid, 2 - 3 days in office Job Type: Contract Duration: 1 Year Rate: $61/hour (W2) + Benefits Hours: 40 hours/week, 8 - 5 Project: Technology Division Position Summary: An AI (Artificial Intelligence) Engineer develops and trains AI models to automate processes and solve complex problems. They design and implement AI systems, ensuring they function effectively and align with business objectives. Responsibilities: Evaluate machine learning processes and select appropriate models.

Collect and analyze large datasets to train AI models. Develop and deploy AI algorithms and systems. Collaborate with cross functional teams to establish goals for AI processes.

Test and validate AI models to ensure accuracy and effectiveness. Manage data and project infrastructure. Stay updated on the latest AI developments and technologies.

Strong Large Language Model (LLM) Expertise Handson experience finetuning, adapting, and deploying LLMs, including prompt engineering, embeddings, and context management. LLM Application & System Architecture Proven ability to design and implement productiongrade LLM solutions such as RAG pipelines, agents, and tool/functioncalling systems. Production MLOps & Model Lifecycle Management Experience owning the endtoend ML lifecycle, including CI/CD, deployment, monitoring, versioning, and performance/cost optimization.

Advanced Python & Software Engineering Strong Python skills with experience building scalable, testable APIs and services that integrate ML/LLM models into enterprise systems. CloudBased Scalable ML Infrastructure Handson experience with AWS, Azure, or GCP, including containerization (Docker), orchestration (Kubernetes), and GPUbased ML workloads. Qualifications: Masters degree in Computer Science, Engineering, or a related field.

Proven experience as an AI Engineer or in a similar role. Strong programming skills in languages such as Python, R, or Java. Experience with machine learning frameworks and libraries.

Excellent analytical and problem-solving abilities. Effective communication and collaboration skills.