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Rag Internship Jobs in Decatur, GA (NOW HIRING)

Fisec Global

Gen AI Engineer

Atlanta, GA · On-site

... RAG), Fine tuning LLMs, Prompt tuning, Graph RAGs, Knowledge graphs, etc. * Strong background in ... Experience mentoring junior colleagues and interns.

GVW Group, LLC

AI Innovation Associate

Atlanta, GA · On-site

This is not a traditional internship. It is a program that gives you hands-on experience designing ... Exploring Retrieval-Augmented Generation (RAG) and enterprise knowledge management. * Working with ...

Finastra

AI Engineer Intern (Summer 2027)

Atlanta, GA · On-site +1

This internship provides an opportunity to learn modern AI development practices while contributing ... RAG) solutions that combine AI models with enterprise knowledge sources. * Help develop natural ...

All JobsRag JobsRag Internship JobsRag Internship Jobs in Decatur, GA

Rag Internship information

See Decatur, GA salary details

$8

$16

$23

How much do rag internship jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for rag internship in Decatur, GA is $16.90, according to ZipRecruiter salary data. Most workers in this role earn between $14.09 and $18.80 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.

What are the most commonly searched types of Rag jobs in Decatur, GA?

The most popular types of Rag jobs in Decatur, GA are:

What job categories do people searching Rag Internship jobs in Decatur, GA look for?

The top searched job categories for Rag Internship jobs in Decatur, GA are:

What cities near Decatur, GA are hiring for Rag Internship jobs?

Cities near Decatur, GA with the most Rag Internship job openings:

Rag Internship jobs near you
Infographic showing various Rag Internship job openings in Decatur, GA as of August 2026, with employment types broken down into 6% Internship, 67% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $35,143 per year, or $16.9 per hour.

Sr. Data Scientist Generative AI

Atlanta, GA • On-site

Virtual Networx
IT Services • 51 - 200 employees
Learn more about Virtual Networxexternal

Other

Posted 12 days ago

Job description

Job Role:Sr. Data Scientist Generative AI

Location: Atlanta, GA | US

Duration: Long Term

JOB DUTIES & RESPONSIBILITIES:

  • Design, develop, and deploy generative AI models for various applications with a focus on text generation and sematic entity extraction.
  • Collaborate with stakeholders to identify business needs, define project scopes, and establish data-driven solutions.
  • Mentor junior data scientists/interns, providing guidance on best practices and industry standards.
  • Stay up to date with the latest research and advancements in Generative AI and related fields.
  • Collaborate with other teams, such as engineering and product management, to integrate models into production environments.
  • Establish and maintain documentation for models, algorithms, and processes.
  • Ensure all projects meet quality, performance, and security standards.
  • Communicate complex concepts and findings effectively to both technical and non-technical audiences.

WORK EXPERIENCE

  • Proven experience (3-5 years) as a Data Scientist or Machine Learning Engineer, with experience in deploying Generative AI based solutions in production.
  • Experience working on cutting-edge technologies to solve problems using Retrieval Augmented Generation (RAG), Fine tuning LLMs, Prompt tuning, Graph RAGs, Knowledge graphs, etc.
  • Strong background in machine learning, deep learning, and probabilistic modeling.
  • Proficiency in modern data science tools and frameworks, such as PyTorch, Tensorflow, JAX, Scikit-learn, and Keras.
  • Experience designing and implementing large-scale data pipelines and processing systems.
  • Experience working with server-side frameworks like FastAPI as well as API development, documentation, and versioning.
  • Familiarity with cloud platforms (AWS, Google Cloud Platform, or Azure), CI/CD tools (Jenkins) and containerization technologies (Docker, Kubernetes).
  • Strong programming skills in Python and experience working with version control systems (Git).
  • Experience mentoring junior colleagues and interns.

Apply