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Generative Ai Intern Jobs (NOW HIRING)

SWBC

AI Intern

San Antonio, TX · On-site

$13.50 - $18/hr

We're seeking an AI Intern to support the design, development, and operationalization of Generative AI and machine learning solutions. This internship will focus on building AI-powered applications ...

Gaf

AI Intern

Parsippany, NJ · On-site

$15 - $20/hr

This intern will assist with the development, testing, and deployment of machine learning models and AI solutions (including predictive analytics and generative AI) within GAF's data ecosystem.

DivcoWest

AI Intern

San Francisco, CA

$20 - $30/hr

Summary The AI Intern will join the Technology team to design and implement intelligent solutions ... Working closely with teams throughout the firm, this role will explore how generative AI and ...

Hendrickson USA, LLC

AI Intern

Woodridge, IL · On-site

The Artificial Intelligence (AI) IT Intern assists with the design, development, and deployment of enterprise-grade artificial intelligence solutions, with a focus on Generative AI, Retrieval ...

GAF

AI Intern

Parsippany, NJ · On-site

$15 - $20/hr

This intern will assist with the development, testing, and deployment of machine learning models and AI solutions (including predictive analytics and generative AI) within GAF's data ecosystem.

Cotiviti

Intern - Generative AI Research Engineer

$32 - $40/hr

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of advanced and emerging healthcare informatics technology with a focus on Generative AI and emerging ...

Cotiviti

$32 - $40/hr

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of advanced and emerging healthcare informatics technology with a focus on Generative AI and emerging ...

SWBC

AI Intern

San Antonio, TX

$13.50 - $18/hr

We're seeking an AI Internto support the design, development, and operationalization of Generative ... As an SWBC intern, you will be learning on the job in real-time from talented professionals within ...

Exactsciences

AI Intern - Co-op Fall 2026

Madison, WI

$35K - $56K/yr

The AI Intern will collaborate with data scientists, engineers, and cross-functional teams to ... generative AI models-that enhance decision-making and business processes. This 6 month co-op ...

Exact Sciences

AI Intern - Co-op Fall 2026

Madison, WI · On-site

$35K - $56K/yr

The AI Intern will collaborate with data scientists, engineers, and cross-functional teams to ... generative AI models-that enhance decision-making and business processes. This 6 month co-op ...

Black Box

AI Intern - Dallas, TX

Plano, TX · On-site

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... This role offers hands-on experience building enterprise-grade Generative AI solutions across ...

DivcoWest

AI Intern

San Francisco, CA · On-site

$20 - $30/hr

Summary The AI Intern will join the Technology team to design and implement intelligent solutions ... Working closely with teams throughout the firm, this role will explore how generative AI and ...

Cotiviti

$32 - $40/hr

The intern will explore applications of Agentic and Generative AI in healthcare, supporting improvements in treatment, payment, and operations. You will play a key role in developing, analyzing, and ...

Cotiviti

Intern - Generative AI/Agentic AI/Research

$32 - $40/hr

The intern will explore applications of Agentic and Generative AI in healthcare, supporting improvements in treatment, payment, and operations. You will play a key role in developing, analyzing, and ...

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Generative Ai Intern information

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How much do generative ai intern jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for generative ai intern in the United States is $17.04, 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 does a Generative AI Intern do?

A Generative AI Intern typically assists in developing and testing machine learning models that can create new content, such as text, images, or audio, based on existing data. They may work with popular frameworks like TensorFlow or PyTorch, help preprocess large datasets, and collaborate with researchers and engineers to experiment with new generative algorithms. Responsibilities often include writing code, evaluating model outputs, and contributing to technical reports or presentations. This role is a great way for students or recent graduates to gain hands-on experience in one of the fastest-growing fields in artificial intelligence.

What are the key skills and qualifications needed to thrive as a Generative AI Intern, and why are they important?

To thrive as a Generative AI Intern, you need a solid background in computer science, mathematics, and machine learning concepts, often supported by coursework or projects in artificial intelligence. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and experience with version control systems like Git are typically required. Strong problem-solving abilities, curiosity, and effective communication skills help interns collaborate and contribute innovative ideas. These qualifications are vital for successfully supporting research and development tasks in the fast-evolving field of generative AI.

What is the difference between Generative Ai Intern vs Machine Learning Intern?

AspectGenerative Ai InternMachine Learning Intern
Required CredentialsBasic programming, AI fundamentals, coursework in AI/MLSimilar: programming, data analysis, coursework in ML/AI
Work EnvironmentTech companies, startups, research labs focusing on AI modelsTech firms, research institutions working on ML projects
Employer & Industry UsageAI-focused companies developing generative models like GPT, DALL·EBroadly used across industries for predictive modeling, data analysis

Generative Ai Interns focus on developing and refining AI models that generate content, such as text or images, often requiring knowledge of neural networks and deep learning. Machine Learning Interns have a broader scope, working on various algorithms for predictive analytics and data processing. While both roles share foundational skills, Generative Ai Interns specialize in generative models, making their work more specific within the AI field.

What types of projects and tasks can a Generative AI Intern expect to work on during their internship?

As a Generative AI Intern, you will typically collaborate with data scientists and engineers to develop, test, and refine machine learning models, especially those related to text, image, or audio generation. Common tasks include data preprocessing, building and evaluating neural network architectures, and conducting literature reviews to stay updated on the latest advancements in generative models. Interns often participate in team meetings, contribute to research papers or internal documentation, and may help deploy AI solutions for real-world applications. This hands-on experience is invaluable for building foundational skills and understanding the collaborative, fast-paced environment of AI research and development.
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Generative Ai Intern jobs near you
AI Intern

AI Intern

SWBC

San Antonio, TX • On-site

$13.50 - $18/hr

Part-time

Medical, Retirement

This job post has expired today. Applications are no longer accepted.

SWBC rating

6.5

Company rating: 6.5 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

Job description

SWBC is seeking talented students to join our College Intern Program in San Antonio, Texas. This is an exciting opportunity for college students who are motivated and eager to learn within their educational field of study.
We're seeking an AI Intern to support the design, development, and operationalization of Generative AI and machine learning solutions. This internship will focus on building AI-powered applications and product features, contributing to MLOps workflows, and helping deploy and monitor models in an AWS environment. The ideal candidate has hands-on experience with Python and foundational ML/GenAI concepts, and is eager to learn how production AI systems are built and maintained.
Why you'll love this role:
As an SWBC intern, you will be learning on the job in real-time from talented professionals within the financial services industry. We will develop, teach, mentor, and support your efforts throughout the internship. Our interns are given projects that are impactful and meaningful to SWBC, so interns will feel they are a valued team member of our SWBC family.
Essential duties include the following:
  • Build AI-enabled applications and prototypes leveraging generative AI and ML capabilities (e.g., retrieval-augmented generation, summarization, classification).
  • Assist with MLOps pipelines: data/model versioning, training workflows, evaluation, packaging, and deployment processes.
  • Support deployment and operations of models/services on AWS, including environment setup, basic CI/CD integration, and operational readiness tasks.
  • Develop and maintain Python components such as APIs, inference services, evaluation scripts, and tooling.
  • Participate in model testing and evaluation, including prompt experiments, performance benchmarking, and quality monitoring.
  • Help document designs, experiments, and results; contribute to team standards and best practices.
  • Collaborate with engineers and product stakeholders to translate requirements into deliverable AI features.

Serious candidates will possess the minimum qualifications:
  • Currently pursuing a degree in Computer Science, Engineering, Data Science, or a related field (undergraduate or graduate welcome).
  • Expected graduation date of December 2026 or later.
  • Some hands-on experience with: Python (e.g., scripting, notebooks, basic software practices), ML/GenAI fundamentals (e.g., embeddings, transformers concepts, evaluation basics)
  • Familiarity with at least one of the following: AWS (e.g., S3, IAM, Lambda, EC2, CloudWatch, ECR, SageMaker, Jupyter notebooks), Basic API development (Flask/FastAPI), Git and collaborative development workflows
  • Strong communication skills and ability to work effectively in a corporate, cross-functional environment.
  • Exposure to MLOps tools and practices (CI/CD, model registries, experiment tracking, monitoring).
  • Experience with LLM application patterns, such as: Retrieval-Augmented Generation (RAG), Prompt engineering, prompt evaluation, guardrails
  • Familiarity with containerization (Docker) and orchestration concepts.
  • Understanding of software engineering fundamentals (unit tests, code reviews, documentation).
  • Deliver working prototypes or production-ready components that demonstrate measurable improvements (e.g., faster iteration, higher quality responses, improved reliability).
  • Contribute to repeatable, documented workflows for building and deploying AI solutions.
  • Collaborate effectively with the team and communicate progress clearly.

SWBC offers*:
  • Competitive overall compensation package
  • Work/Life balance
  • Employee engagement activities and recognition awards
  • Years of Service awards
  • Career enhancement and growth opportunities
  • Leadership Academy and Mentor Program
  • Continuing education and career certifications
  • Variety of healthcare coverage options
  • Traditional and Roth 401(k) retirement plans
  • Lucrative Wellness Program

*Based upon employee eligibility
Additional Information:
SWBC is a Substance-Free Workplace and requires pre-employment drug testing.
Please note, SWBC does not hire tobacco users as allowed by law.
To learn more about SWBC, visit our website at www.SWBC.com. If interested, please click the appropriate apply button.

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