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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 ...

Samaya AI

ML Research Intern

Mountain View, CA

... RAG, RL and AI agents with advanced tool calling and long-horizon reasoning, etc. The primary focus of this internship is to conduct novel research that advances these fields, with the goal of ...

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 ...

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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
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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

Software Engineering AI Internship

Openings & Internships

Columbia, MD • On-site

Internship

Posted 2 days ago

Job description

Description:

Employment Type: Paid Internship (Temporary, W2 position with Cogent People Inc.) This is a paid internship opportunity and is not eligible for company-sponsored benefits.


Location: Hybrid

Work Authorization Requirements


Candidates must have lived in the United States for at least 3 of the past 5 years and must be authorized to work in the U.S. as a U.S. Citizen, Permanent Resident, or valid EAD holder.

This position is not eligible for work authorization sponsorship now or in the future, including H-1B sponsorship.

Clearance Requirement: Public Trust Clearance required or ability to obtain.


About Cogent People Inc.

Cogent People Inc. is a government consulting and technology services firm supporting federal and commercial organizations through innovative business and technology solutions.


Our teams thrive in a collaborative environment focused on learning, professional growth, innovation, and operational excellence.


Internship Overview


Cogent People Inc. is seeking a motivated individual interested in gaining practical experience in Software Engineering while supporting the development of AI solutions for healthcare data analytics within a major federal healthcare modernization program.


This internship provides an exciting opportunity to contribute to mission-critical systems that leverage AI to improve outcomes across the healthcare landscape. Interns will gain hands-on experience working alongside experienced engineers throughout the full software development lifecycle in an agile environment.


The ideal candidate is currently pursuing or recently completed a degree in Computer Science, Applied Mathematics, Artificial Intelligence, Data Science, Software Engineering, or a related field and is interested in launching a career in AI-focused software engineering. Candidates should demonstrate foundational knowledge of AI frameworks and development tools through academic, personal, or project-based experience.


Responsibilities

  • Support the design and development of AI-powered healthcare data analytics solutions across the software development lifecycle, including design, implementation, testing, and deployment
  • Work under the guidance of experienced engineers to analyze requirements, contribute to solution design, and implement features using AI-based tools and traditional development practices
  • Write clean, maintainable, and well-documented code using Python, TypeScript, and SQL
  • Participate in agile ceremonies including daily stand-ups, sprint planning, backlog grooming, and retrospectives
  • Assist with debugging, troubleshooting, testing, and performance improvements
  • Conduct research and experimentation related to AI technologies, frameworks, and tools
  • Collaborate with cross-functional team members in a fast-paced and mission-driven environment
Requirements:
  • Currently pursuing or recently completed a degree in Computer Science, Information Systems, Data Science, Applied Mathematics, Software Engineering, or a related field
  • Familiarity with Python and AI-related frameworks or libraries such as Pandas, NumPy, or LangChain
  • General understanding of Large Language Models (LLMs), Agentic AI concepts, and Retrieval-Augmented Generation (RAG)
  • Familiarity with relational databases and SQL
  • Strong analytical, problem-solving, and communication skills
  • Ability to work independently and collaboratively within a team environment
  • Strong attention to detail and willingness to learn new technologies and tools

Preferred Qualifications

  • Familiarity with AWS cloud services
  • Academic, personal, or project-based experience developing AI-related applications or solutions
  • Exposure to software engineering best practices, version control, or agile methodologies
  • Highly motivated, goal-oriented, and eager to learn in a professional environment

Why Cogent People Inc.?


At Cogent People, we foster a collaborative, growth-driven environment where innovation thrives. You’ll be part of a team supporting meaningful technology initiatives while gaining hands-on experience with modern AI and healthcare data solutions.


We offer:

  • Paid internship experience
  • Hands-on learning opportunities
  • Mentorship from experienced engineering professionals
  • Exposure to healthcare IT and federal technology modernization initiatives
  • Professional development and networking opportunities
  • A collaborative and supportive workplace culture

As a Certified Great Place to Work, we prioritize employee satisfaction and provide a supportive, inclusive culture where every team member is valued and empowered to succeed.


Internship Terms

  • This is a temporary paid internship position
  • Interns are not eligible for company-sponsored benefits
  • Internship duration: [Insert timeframe – e.g., 8 weeks, 10 weeks, or 12 weeks]
  • Work schedule: [Insert hours per week]

Compliance Notice


Cogent People Inc. conducts employment verification for all candidates. Misrepresentation of work authorization, residency history, or professional experience may result in disqualification.

We do not engage third-party recruiters for this role unless explicitly stated.


EEO Employer


Cogent People Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, disability status, or any other status protected by law.

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