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Generative Ai Intern Jobs (NOW HIRING)

Advantest

AI Intern

Austin, TX · On-site

$15 - $20/hr

Location: Austin, TX Role Overview In this role, you will contribute to research initiatives focused on generative and agentic AI systems, evaluating how these technologies can improve user ...

Peraton

Generative AI Engineering Intern (Graduate)

$17.25 - $22.25/hr

Responsibilities Peraton is seeking motivated Generative AI Engineering Interns (Graduate ... SCA / Union / Intern Rate or Range $35.00/hour EEO EEO: Equal opportunity employer, including ...

Black Box

AI Engineer Intern - USA

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 ...

Advantest

AI Intern

San Jose, CA

$17.75 - $23.50/hr

... generative AI. This internship provides hands-on experience working with emerging AI systems and integrating them into Advantest's advanced testing platforms. Location: Austin, TX or San Jose, CA ...

Advantest

AI Intern

San Jose, CA · On-site

... generative AI. This internship provides hands-on experience working with emerging AI systems and integrating them into Advantest's advanced testing platforms. Location: Austin, TX or San Jose, CA ...

Cotiviti

Intern - 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 ...

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 ...

JobTarget

Agentic AI Developer Intern

Stamford, CT · On-site

$27 - $30/hr

The Opportunity We are looking for a motivated Generative AI Developer Intern to join our AI Engineering Team. In this role, you will help design, build, test, and improve AI-powered applications and ...

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

Copart is looking for a talented and enthusiastic Mobile Developer Intern with knowledge of ... Develop and maintain mobile applications with a focus on AI, LLM, and generative AI integration ...

Nirmata

AI Software Engineer Intern

San Jose, CA

As an AI/ML Software Engineer Intern, you will define and implement the AI/ML infrastructure ... Familiarity with Large Language Models (LLMs) and Generative AI (GenAI) technologies including ...

ECS

BD & AI Analysis Intern

Fairfax, VA · On-site

Everforth ECS is seeking a BD & AI Analysis Intern to work hybrid in our Fairfax, VA office. ECS ... Develop and expand generative AI-driven research and analysis capabilities to enable business ...

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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 30, 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
Infographic showing various Generative Ai Intern job openings in the United States as of June 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.
Artificial Intelligence (AI) Internship - Hybrid Remote

Artificial Intelligence (AI) Internship - Hybrid Remote

Hoosier Energy

Bloomington, IN • On-site, Remote

Full-time

Posted 23 days ago

Key responsibilities

  • Assist in developing and testing AI models for predictive maintenance, cybersecurity anomaly detection, and data-driven decision-making.

  • Support integration of AI tools into business workflows under supervision.

  • Prepare datasets for AI training, ensuring compliance with data governance and privacy standards.

Job description

Are you looking to gain valuable, hands-on experience with an Artificial Intelligence (AI) internship? Hoosier Energy is offering a paid internship through August 2026 with the possibility of extension. We are seeking an organized, self-motivated college student to join our team.
The internship schedule will be Monday-Friday, up to 40 hours per week, with the days and hours being flexible based upon intern availability. Hybrid work is also an option.
Position Summary
The AI Intern will support Hoosier Energy's efforts to leverage artificial intelligence for operational and business efficiency. This role involves assisting with AI model evaluation, data preparation, application integration, and documentation while adhering to Hoosier Energy's AI usage policies and governance standards.
Key Responsibilities
  • Assist in developing and testing AI models for predictive maintenance, cybersecurity anomaly detection, and data-driven decision-making.
  • Support integration of AI tools (e.g., Microsoft Copilot, generative AI platforms) into business workflows under supervision.
  • Prepare datasets for AI training, ensuring compliance with data governance and privacy standards.
  • Document AI use cases, workflows, and risk assessments in alignment with Hoosier Energy's AI Policy.
  • Collaborate with Technology Governance Committee on AI product assessments and vendor evaluations.
  • Monitor AI outputs for accuracy and reliability; ensure human review of all deliverables ("Human in the Loop").
  • Research emerging AI trends and provide recommendations for safe and effective adoption.

Qualifications
  • Currently a Junior level or above college student pursuing a degree in Informatics, Artificial Intelligence, Computer Science, Computer Engineering, Data Science, Cybersecurity, or related field.
  • Familiarity with machine learning concepts, large language models, and generative AI.
  • Strong analytical and problem-solving skills; attention to detail in compliance-driven environments.
  • Basic programming skills (Python preferred) and understanding of data privacy principles.

Compliance & Ethics
  • Must adhere to Hoosier Energy's AI Policy, including restrictions on sensitive data, intellectual property, and privacy.
  • All AI-generated work must undergo human review before finalization.

About Hoosier Energy: Hoosier Energy is a generation and transmission cooperative providing wholesale power and services to 17-member distribution cooperatives across central and southern Indiana and southeastern Illinois. Headquartered in Bloomington, Indiana, we serve over 700,000 consumers across a service area of 15,000 square miles.
Apply today to enhance your skills and take the next step in your professional development!
Hoosier Energy is an Equal Opportunity Employer and prohibits discrimination on the basis of race, color, religion, national origin, sex (including pregnancy and gender identity), sexual orientation, age, ancestry, genetic information, disability, veteran status or any other characteristic protected by federal, state or local laws.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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