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Ai Intern Jobs (NOW HIRING)

AI Intern

San Jose, CA · On-site

$17.75 - $23.50/hr

This internship provides hands-on experience working with emerging AI systems and integrating them into Advantest's advanced testing platforms. Location: Austin, TX or San Jose, CA (headquarters ...

AI Intern

San Jose, CA · On-site

$17.75 - $23.50/hr

This internship provides hands-on experience working with emerging AI systems and integrating them into Advantest's advanced testing platforms. Location: Austin, TX or San Jose, CA (headquarters ...

Intern, Artificial Intelligence - OR

Medford, OR · On-site

$15.25 - $20.25/hr

AI Intern Department: Product & AI Innovation Location: Medford, OR Duration: 10-12 Weeks (Summer 2026) Hours: Full-Time (40 hours/week) About 1-800-Flowers.com, Inc. 1-800-Flowers.com, Inc. is a ...

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration: 6-12 months (12 months preferred) Company: Black Box Eligibility: Master's students with at least 6 ...

AI Intern - Fall Start

Emeryville, CA · On-site

$17.25 - $23.25/hr

As an AI Intern within the Enterprise Intelligence team, you'll join a tightknit group of data scientists and IT & software developers who partner with our sci/tech teams to use advanced computing to ...

New

AI Intern - Fall Start

Emeryville, CA · On-site

$17.25 - $23.25/hr

As an AI Intern within the Enterprise Intelligence team, you'll join a tight-knit group of data scientists and IT & software developers who partner with our sci/tech teams to use advanced computing ...

As an AI Intern within the Enterprise Intelligence team, you'll join a tight‑knit group of data scientists and IT & software developers who partner with our sci/tech teams to use advanced computing ...

New

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI ... We are looking for an entry-level engineer or intern to support the optimization and deployment of ...

The AI Intern will collaborate with data scientists, engineers, and cross-functional teams to research, prototype, and implement AI solutions-including machine learning (ML), deep learning (DL), and ...

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI ... We are looking for an entry-level engineer or intern to support the optimization and deployment of ...

AI Integration & Development: Design and implement features powered by Large Language Models (LLMs), Generative AI, and Machine Learning APIs into our core web applications. Full-Stack Engineering:

Prototype AI-driven use cases (alert triage, enrichment, investigation support, automation) * Support security event analysis, including triaging alerts and investigating patterns

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Ai Intern information

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How much do ai intern jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for ai intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What types of projects and tasks can an AI Intern expect to work on during their internship?

As an AI Intern, you can anticipate working on a variety of hands-on projects such as developing machine learning models, assisting in data preprocessing and analysis, and supporting the implementation of AI algorithms in real-world applications. Interns often collaborate closely with data scientists, engineers, and other interns, gaining exposure to tools like Python, TensorFlow, and cloud platforms. The role provides a valuable opportunity to contribute to both research and production-level initiatives, often with mentorship from experienced professionals. This experience not only enhances technical skills but also builds teamwork and problem-solving abilities essential for a future AI career.

What is the difference between Ai Intern vs Data Analyst Intern?

AspectAi InternData Analyst Intern
Required CredentialsBasic knowledge of AI, programming, and machine learning conceptsKnowledge of data analysis, statistics, and Excel or SQL
Work EnvironmentTech companies, startups, research labs focused on AI projectsBusiness, finance, or marketing departments analyzing data sets
Employer & Industry UsagePrimarily in AI-focused companies or teamsAcross various industries needing data insights
Search & Comparison IntentUnderstanding roles in AI developmentUnderstanding data analysis internship opportunities

The main difference between an Ai Intern and a Data Analyst Intern lies in their focus and skill requirements. An Ai Intern typically works on AI and machine learning projects, requiring programming and AI knowledge. In contrast, a Data Analyst Intern focuses on analyzing data to generate insights, often using statistical tools and Excel. Both roles are valuable in tech and business environments but serve different functions within organizations.

What does an AI Intern do?

An AI Intern typically assists with the development and implementation of artificial intelligence models, algorithms, and applications. Their work often involves data preprocessing, model training, performance evaluation, and collaborating with data scientists or engineers. The role provides hands-on experience with machine learning frameworks, coding in languages like Python, and exposure to real-world AI projects. AI interns may also contribute to research, documentation, and testing of AI systems within a company or research lab.

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

To thrive as an AI Intern, you need a solid background in computer science, mathematics, and programming languages such as Python, often supported by coursework or projects in machine learning or data science. Familiarity with AI frameworks like TensorFlow or PyTorch, as well as experience using data analysis tools, is highly valued. Strong analytical thinking, curiosity, and effective communication help you collaborate and learn quickly in a dynamic environment. These skills are crucial for solving complex problems and contributing to innovative AI solutions alongside experienced professionals.
More about Ai Intern jobs
What cities are hiring for Ai Intern jobs? Cities with the most Ai Intern job openings:
What are the most commonly searched types of Ai jobs? The most popular types of Ai jobs are:
What states have the most Ai Intern jobs? States with the most job openings for Ai Intern jobs include:
Infographic showing various Ai Intern job openings in the United States as of June 2026, with employment types broken down into 2% Internship, 73% Full Time, and 25% Part Time. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.

$17.75 - $23.50/hr

Full-time

Posted 19 days ago


Job description

Description
Advantest America, a global leader in Semiconductor Test and Measurement, is seeking a motivated and innovative engineering student to explore cutting-edge applications of machine learning and generative AI. This internship provides hands-on experience working with emerging
AI systems and integrating them into Advantest's advanced testing
platforms.

Location: Austin, TX or San Jose, CA (headquarters)

Role Overview
In this role, you will contribute to research and prototyping efforts focused on LLM-powered reasoning and evaluation systems. You will explore how retrieval-augmented generation (RAG) and agentic workflows can be used to analyze, compare, and assess complex technical content at scale. The internship emphasizes building AI systems that support decision-making, qualitative judgment, and structured feedback in real-world engineering and research environments.


You will work with unstructured and semi-structured documents, design multi-step reasoning pipelines, and evaluate system behavior against domain-specific expectations and constraints.

Key Responsibilities

  • Develop and execute an approach for a detailed market analysis in different area of the AI tools and companies

  • Competitive analysis of AI usage in the semiconductor market

  • Provide summaries, presentations and guidance about collaborations and partnerships

  • Analyze Project Management execution pipeline and propose efficiency improvements