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Rag Internship Jobs (NOW HIRING)

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.

Trunk Tools

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 ...

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.

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Rag Internship information

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How much do rag internship jobs pay per hour?

As of Sep 13, 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 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 key skills and qualifications needed to thrive as a RAG 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 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.

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Infographic showing various Rag Internship job openings in the United States as of September 2026, with employment types broken down into 50% Internship, and 50% Full Time. Highlights an 100% In-person job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Summer Associate Internship (Data Scientist)

Vienna, VA • On-site

Navy Federal Credit Union
Finance and Insurance • 10K+ employees
Learn more about Navy Federal Credit Unionexternal

$26.44 - $46.88/hr

Full-time

Posted 4 days ago

Navy Federal Credit Union rating

8.1

Company rating: 8.1 out of 10

Based on 276 frontline employees who took The Breakroom Quiz

Job description

The Real Estate Lending (REL) AI & Data Science team develops AI-enabled capabilities, machine learning solutions, and advanced analytics that support mission critical decision making across REL. By leveraging member, financial and organizational data, the team enhances the member experience, improves operational efficiency, and helps business partners achieve strategic objectives through cutting-edge AI and data science solutions. The Summer Associate will support the team's AI and data science initiatives by contributing to projects involving machine learning, advanced analytics, or AI agents that drive measurable impact across REL and Navy Federal.

The Summer Associate Program is a 12-week internship program beginning in May 2027 and ending in August 2027. Students will work on impactful projects and meaningful work during their internship. To qualify for this position, applicants must be currently pursuing a degree from an accredited college or university and have an anticipated graduation date of December 2027 or later.

Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks.

Our approach to careers is simple yet powerful: Make our mission your passion.

  • FORTUNE 100 Best Companies to Work For 2025
  • Yello and WayUp Top 100 Internship Programs
  • Computerworld Best Places to Work in IT
  • Newsweek Most Loved Workplaces
  • 2025 PEOPLE Companies That Care
  • Newsweek Most Trustworthy Companies in America
  • Military Times 2025 Best for Vets Employers
  • Best Companies for Latinos to Work for 2025
  • Forbes 2025 America's Best Large Employers
  • Forbes 2025 America's Best Employers for New Grads
  • Forbes 2025 America's Best Employers for Tech Workers
  • 2025 RippleMatch Campus Forward Award Winner for Overall Excellence 
  • Military.com Top Military Spouse Employers 2025 
  • 2025 Handshake Early Talent Award

From Fortune. 2025 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.

Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.

Accommodations: If you need accommodation or assistance for a qualifying condition to complete the online application (or during any stage of the hiring process), you can contact Navy Federal's Medical Accommodations team at medicalaccommodations@navyfederal.org or by calling 1-888-503-6013. This team cannot provide any information on job postings or application status.

Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review the Benefits page of the Navy Federal Career Site.

Protect Yourself from Job Scams: Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process.

Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.

  • Currently pursuing a graduate degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or another quantitative field.

  • Working knowledge of statistics, machine learning, data mining, data auditing, data aggregation, data reconciliation, and data visualization.

  • Working knowledge of programming, data modeling, simulation techniques, and quantitative analysis. 

  • Experience with SQL, R, Python/Pyspark, Hadoop, SAS, AWS, Github and APIs.

  • Experience with Databricks, Azure Environment (AI Foundry), Copilot Studio and PowerBI.

  • Interest in or exposure to AI/LLMs and agent development (prompt engineering, RAG architectures, vector databases, embeddings, AI guardrails, LLM evaluations, fine-tuning fundamentals).

  • Ability to understand business problems, identify analytical approaches, and develop practical, data-driven recommendations.

  • Strong research, critical-thinking, analytical, and problem-solving skills, including the ability to identify assumptions, constraints, and risks.

  • Excellent written, verbal, interpersonal, data-storytelling, and presentation skills, with the ability to explain technical concepts to non-technical audiences.

  • Ability to collaborate effectively, build relationships, take initiative, manage priorities, and work through ambiguity with sound judgment.

  • Curious, energetic, and growth-oriented approach with a willingness to learn new tools, methods, and business concepts

Additional Information

Hours:

  • Monday - Friday, 8:00AM - 4:30 PM ET

Locations:

  • 820 Follin Lane, Vienna, VA 22180

  • 5550 Heritage Oaks Dr Pensacola, FL 32526

  • 141 Security Dr. Winchester, VA 22602

Potential Projects

  • Explore opportunities to apply large language models (LLMs) or AI agents to enhance information retrieval, analytical workflows, the member experience, or operational efficiency.

  • Build a machine learning propensity model to predict the likelihood that an NFCU member will refinance a loan within a defined time period. 

  • Perform advanced analytics on large and complex datasets to identify patterns in member behavior, engagement, and loan activity, translating findings into actionable business insights.

Responsibilities

  • Support data science, machine-learning, and AI initiatives for Real Estate Lending.

  • Design, develop, and evaluate large and complex predictive models, advanced algorithms, and LLM-driven AI agents. 

  • Develop actionable insights and data-driven recommendations that support business decision-making.

  • Use evaluation, judgment, and interpretation to select right course of action.

  • Work on problems of diverse scopes where analysis of information requires evaluation of identifiable factors.

  • Transform data into charts, tables, or format that aids effective decision making.

  • Utilize effective written and verbal communication to document analyses and present findings and analyses to a diverse audience of stakeholders. 

  • Develop and maintain strong working relationships with team members, subject matter experts, and leaders.

  • Model best practices and ethical AI.

  • Participate in all team activities and knowledge shares.

  • Perform other related duties as assigned

What Navy Federal Credit Union employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Navy Federal Credit Union logo

About Navy Federal Credit Union

Sourced by ZipRecruiter

Navy Federal Credit Union, based in Vienna, Virginia, United States, is a significant player in the financial services industry. Their official website is navyfederal.org. With its roots dating back to 1933, it was initially established to provide credit to Navy members. Over the years, Navy Federal has magnified its scope, evolving into a full-service credit union serving all branches of the military, the Department of Defense, veterans, and their families. The company’s core values include integrity, service, education, and leadership. Navy Federal aims to be the most preferred and trusted financial institution serving the military and their families.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Vienna, VA, US

Year founded

1933

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