ZipRecruiter

Log In

1

Rag Internship Jobs (NOW HIRING)

Advantest America

AI Intern

San Jose, CA

$17.50 - $23.50/hr

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 ...

Advantest

AI Intern

San Jose, CA

$17.75 - $23.50/hr

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 ...

Black Box

AI Engineer Intern - USA

Plano, TX · On-site

Plano, Texas, USA Internship Duration: 6-12 months (12 months preferred) Company: Black Box ... Implement RAG-based architectures connecting LLMs with structured and unstructured enterprise data.

Black Box

AI Intern - Dallas, TX

Plano, TX · On-site

Plano, Texas, USA Internship Duration: 6-12 months (12 months preferred) Company: Black Box ... Implement RAG-based architectures connecting LLMs with structured and unstructured enterprise data.

Wealth Inc

Applied Scientist- AI/ML Intern

$45 - $55/hr

The Wealth.com Technology Internship Program helps passionate early career professionals gain real ... Design and implement scalable and efficient Q&A RAG frameworks * Collaborate with other product ...

Drivetrain

Engineering Intern - Gen AI for FP&A Platform

$17.25 - $22.25/hr

... interns passionate about Generative AI to join our team. You will work on real-world projects involving Retrieval-Augmented Generation (RAG), Agentic AI, and Large Language Models (LLMs) to enhance ...

next page

Showing results 1-20

People also search for

All JobsRag Internship Jobs

Rag Internship information

See salary details

$9

$17

$23

How much do rag internship jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for rag internship in the United States is $17.31, 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 are the key skills and qualifications needed to thrive as a RAG (Retrieval-Augmented Generation) Intern, and why are they important?

To excel as a RAG Internship candidate, you should possess a solid understanding of natural language processing, machine learning fundamentals, and programming skills, typically supported by coursework in computer science or data science. Familiarity with tools such as Python, PyTorch or TensorFlow, and experience working with large language models and retrieval systems are often required. Strong problem-solving abilities, attention to detail, and effective communication set outstanding interns apart. These competencies enable interns to contribute meaningfully to AI research teams, support innovative projects, and adapt to the rapidly evolving field of AI.

What can I expect from the typical workflow and team collaboration during a RAG (Retrieval-Augmented Generation) internship?

During a RAG internship, you can expect to work closely with machine learning engineers, data scientists, and software developers to design, implement, and optimize information retrieval systems that power generative AI models. Your daily tasks may include processing large datasets, experimenting with retrieval algorithms, evaluating model outputs, and contributing to documentation or presentations. Interns often participate in regular team meetings, code reviews, and brainstorming sessions to discuss technical challenges and share progress. This collaborative environment helps you develop both technical and communication skills, while gaining hands-on experience with state-of-the-art NLP technologies.

What is a Rag Internship?

A Rag Internship typically refers to a student internship position that is part of a university's 'Rag' (Raise and Give) society or committee, which organizes fundraising events and campaigns for charitable causes. Interns in these roles assist with event planning, marketing, volunteer coordination, and general administrative tasks to support fundraising initiatives. This position offers students practical experience in event management, teamwork, and communication, while contributing to charitable work. Rag Internships are usually unpaid and are a great way for students to develop transferable skills.

What is the difference between Rag Internship vs Data Analyst Internship?

AspectRag InternshipData Analyst Internship
Required CredentialsBasic coursework, some technical skillsRelevant degree, proficiency in data tools
Work EnvironmentEntry-level, project-based, team settingsOffice or remote, analytical tasks
Industry UsageCommon in creative and design fieldsWidely used across finance, marketing, tech

Rag Internships typically focus on introductory tasks in creative or design fields, requiring basic skills and offering hands-on experience. Data Analyst Internships are more specialized, demanding relevant technical skills and data knowledge. Both provide valuable industry exposure but differ in skill requirements and work focus.

More about Rag Internship jobs
What cities are hiring for Rag Internship jobs? Cities with the most Rag Internship job openings:
What are the most commonly searched types of Rag jobs? The most popular types of Rag jobs are:
What states have the most Rag Internship jobs? States with the most job openings for Rag Internship jobs include:
What job categories do people searching Rag Internship jobs look for? The top searched job categories for Rag Internship jobs are:
Rag Internship jobs near you

AI Intern

Advantest America

San Jose, CA

$17.50 - $23.50/hr

Other

Posted 9 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

Apply