ZipRecruiter

Log In

1

Rag Internship Jobs (NOW HIRING)

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 ...

Edusign

Stage IA/Data Science/Dev Agentique

Implementation and interventions on our RAG, Graph RAG, and semantic modules * Improvement of our ... the internship. * Technical Interview with a team member, including a small technical test to ...

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.

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.

The Mortgage Office

AI Engineer

San Mateo, CA · On-site

Responsibilities : • Use LLMs and RAG techniques for accurate data classification. Apply rules ... Academic projects, internships, or part-time work during degree programs will not be considered as ...

Amazech Solutions

Junior AI Engineer

Plano, TX · On-site

Bachelor''s degree in CS, AI, Data Science, or related field. * 0-2 years of experience (internships/projects accepted). * Strong Python and SQL skills. * Familiarity with LLMs, RAG, Prompt ...

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 ...

next page

Showing results 1-20

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 28, 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:
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
Infographic showing various Rag Internship job openings in the United States as of June 2026, with employment types broken down into 5% Internship, 2% As Needed, 72% Full Time, 20% Part Time, and 1% Temporary. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.
Generative AI Engineering Intern (Graduate)

Generative AI Engineering Intern (Graduate)

Peraton

Remote

$17.25 - $22.25/hr

Full-time

Posted 21 days ago

Peraton rating

8.2

Company rating: 8.2 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

46th of 206 rated it services

Job description

Responsibilities
Peraton is seeking motivated Generative AI Engineering Interns (Graduate) supporting Internal Research and Development (IRAD) initiatives focused on AI/ML-driven platforms for Operations in the Information Environment (OIE). Interns can support 100% remotely.
This open-ended graduate internship is designed to provide sustained, meaningful work experience throughout your academic program. Interns will work 40 hours per week during the summer and 20 hours per week during the academic year, with the flexibility to increase to 40 hours per week as schedules allow. In this role, you will gain hands-on experience developing and applying cutting-edge generative AI solutions, including large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), and agentic AI architectures within a defense technology environment. Working alongside senior engineers and data scientists, you will support mission-critical information operations for Combatant Commands (COCOMs) by translating operational requirements into secure, production-grade AI solutions. The role offers exposure to enterprise software development practices such as Agile, DevSecOps, and CI/CD, as well as work with classified and sensitive data in FedRAMP-compliant cloud environments using technologies including Azure OpenAI Service, AWS, Python, LangChain, LlamaIndex, Hugging Face, vector databases, Docker, and Git. This internship provides competitive hourly compensation, flexible and remote-friendly scheduling, dedicated mentorship, networking opportunities across Peraton's technical leadership, and a potential pathway to full-time employment upon graduation.
Roles and responsibilities for this position include:
  • Assist in the development and optimization of generative AI solutions using GPT-4, Claude, Gemini, and Azure OpenAI Service under the guidance of senior team members.
  • Support prompt engineering efforts including designing, testing, and refining prompts to improve LLM output quality, accuracy, and consistency.
  • Contribute to the implementation of retrieval-augmented generation (RAG) systems, including working with vector databases, embedding models, and semantic search pipelines.
  • Conduct research on emerging generative AI techniques, foundation models, and best practices, summarizing findings for the development team.
  • Assist in building evaluation frameworks and quality assurance pipelines to measure and improve AI-generated content quality.
  • Support documentation efforts including creating technical guides, API documentation, and prompt libraries.
  • Participate in code reviews, team meetings, and Agile/Scrum ceremonies to gain exposure to professional software development practices.
  • Collaborate with cross-functional teams to understand operational requirements and translate them into technical solutions.
  • Take on progressively complex responsibilities as skills develop throughout the internship tenure.

#PeratonIntern
Qualifications
Required Qualifications:
  • Currently enrolled in a Master's or Ph.D. program in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Computational Linguistics, Natural Language Processing, or related technical field.
  • Completion of at least one semester of graduate coursework prior to internship start date.
  • Strong programming skills in Python, including familiarity with common data science libraries (NumPy, Pandas, scikit-learn).
  • Foundational understanding of machine learning concepts, neural networks, and natural language processing principles.
  • Exposure to large language models (LLMs) through coursework, research projects, or personal projects (e.g., using OpenAI API, Hugging Face, or similar).
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent written and verbal communication skills.
  • Ability to work both independently and collaboratively in a team environment.
  • US. Citizenship required (must be able to obtain Secret clearance).

Desired Qualifications:
  • Hands-on experience with LLM frameworks such as LangChain, LlamaIndex, or Hugging Face Transformers.
  • Experience with prompt engineering techniques including few-shot learning, chain-of-thought prompting, or structured output generation.
  • Familiarity with vector databases (Pinecone, ChromaDB, Weaviate) or embedding models for semantic search applications.
  • Experience with cloud platforms (AWS, Microsoft Azure, Google Cloud) for AI/ML development or deployment.
  • Research experience in NLP, generative AI, or related fields, including publications or conference presentations.
  • Familiarity with responsible AI principles, AI safety, and techniques for mitigating bias and hallucinations in LLM outputs.
  • Experience with version control (Git/GitHub) and collaborative development workflows.
  • Interest in defense, national security, or government technology applications.
  • Prior internship experience in software development, data science, or AI/ML roles.
  • Coursework or projects involving multimodal AI, computer vision, or reinforcement learning.

Peraton Overview
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.
Target Salary Range
The rate / range per hour below represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
SCA / Union / Intern Rate or Range
$35.00/hour
EEO
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

What Peraton employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Peraton logo

About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017

View All Peraton Jobs

Apply