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Rag Internship Jobs (NOW HIRING)

Advantest

AI Intern

San Jose, CA · On-site

$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 ...

Rockstar

Jr AI Engineer

... RAG concepts. * Solid Python skills with exposure to ML libraries such as PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers, or similar tools. * Experience through coursework, internships ...

Centific

Technical Intern

$40/hr

... Internship Focus Areas: * Natural Language Processing (NLP) * Computer Vision * Machine Learning * Large Language Models (LLM) * Vision-Language Models (VLM) * Retrieval-Augmented Generation (RAG)

Advantest

AI Intern

San Jose, CA · On-site

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 ...

Onto

AI/ML Internship

Hillsboro, OR · On-site

Key Responsibilities Validate performance of RAG-based LLM models using real field escalation scenarios Analyze and structure internal data sources including logs, knowledge base, and support ...

Onto

AI/ML Internship

Hillsboro, OR · On-site

Key Responsibilities • Validate performance of RAG-based LLM models using real field escalation scenarios • Analyze and structure internal data sources including logs, knowledge base, and support ...

Onto

AI/ML Internship

Milpitas, CA

Key Responsibilities Validate performance of RAG-based LLM models using real field escalation scenarios Analyze and structure internal data sources including logs, knowledge base, and support ...

Peraton

Generative AI Engineering Intern (Graduate)

$17.25 - $22.25/hr

Interns can support 100% remotely. This open-ended graduate internship is designed to provide ... Contribute to the implementation of retrieval-augmented generation (RAG) systems, including working ...

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How much do rag internship jobs pay per hour?

As of Jun 21, 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 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 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 are the big 4 internships?

The Big 4 internships typically refer to internship programs offered by the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These internships provide experience in auditing, consulting, tax, and advisory services and are highly competitive for students pursuing careers in accounting and finance.

Is $30 an hour good for an intern?

For a Rag Internship, $30 an hour is considered a high wage for an internship, as most internships tend to pay lower or offer stipends. However, pay rates vary depending on industry, location, and the intern's skill level, with some competitive fields offering higher compensation for specialized skills or remote work environments.

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.

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.

Which 3 jobs will survive AI?

Jobs that require complex human interaction, creativity, and critical thinking, such as healthcare professionals, skilled trades like electricians and plumbers, and roles in education and training, are more likely to survive AI automation. These positions often involve nuanced decision-making, emotional intelligence, and hands-on skills that are difficult for AI to replicate. Continuous learning and adaptability are essential for job security in an evolving technological landscape.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior data scientist, AI research director, or machine learning engineer at top tech companies. These roles often require advanced skills in programming, machine learning frameworks, and extensive experience, with compensation including salary, bonuses, and stock options reaching or exceeding that amount annually.
More about Rag Internship jobs
What cities are hiring for Rag Internship jobs? Cities with the most Rag Internship job openings:
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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
Infographic showing various Rag Internship job openings in the United States as of June 2026, with employment types broken down into 12% Internship, 5% As Needed, 27% Full Time, 55% Part Time, and 1% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

2026 Fall Intern, ML/NLP Research

Samsung Research America Internship

Mountain View, CA

Other

Posted 13 days ago

Job description

Lab Summary:AI Research Center (AIC) located in Mountain View, California focuses on research and development which directly impacts future Samsung products reaching hundreds of millions of users worldwide. We are focused on pushing the state-of-the-art and practice in natural language and knowledge intelligence. 

Position Summary: Samsung Research AI center, located in Mountain View, CA, is currently recruiting world-class students who can thrive in a fast-pace, cross team, results-driven environment, with focus on highly visible, challenging, and cross discipline projects. You will be part of an exciting project to build an adaptive, personalized, contextual and secure AI model and system to enable fast, accurate and safe interactions tailored to users' needs on Samsung devices. 

Position Responsibilities: We are looking for Fall Interns (Flexible start date for a 3 month internship between September-December).

  • Develop and implement novel deep learning/reinforcement learning algorithms for natural language processing (text, speech) in various applications 
  • Contribute to the research activities of our team 
  • Generate creative solutions (patents) and publish in top conferences (papers) 

Required Skills: 

  • Current Ph.D. student in CS, EE, or related field 
  • Experience in one or more of the following areas:  
    • Expertise in LLM including model architecture, training/finetuning techniques, retrieval augmented generation (RAG), reasoning and action planning, etc.
    • Experience in planning, tool use, agent AI, and agent memory to develop autonomous systems for decision-making, problem-solving, and adaptability. 
    • Experience in knowledge augmented AI technologies (e.g., language prompt, knowledge graph, neuro-symbolic learning)
    • Experience in conversational AI technologies: natural language processing (e.g., language models, semantic parsing, natural language generation etc.), dialogue (e.g., state tracking, policy learning), and representation learning (embedding, conceptualization, etc.)
    • Experience in multimodal AI technologies for various multimodal applications
    • Experience in on-device AI technologies such as lightweight model architecture design
  • Teamwork and communication skills 
  • Proficiency in a neural network library (e.g., PyTorch, TensorFlow)
  • Track record of research/publications on machine learning and artificial intelligence field (NeurIPS, ICML, ICLR, AAAI, IJCAI, CVPR, ACL, EMNLP, NAACL, TACL, etc.) 

Apply