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Generative Ai Intern Jobs in Springfield, MA (NOW HIRING)

... of Generative AI concepts, including Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), and AI-powered assistants. · Basic familiarity with Microsoft Power ...

... Generative AI concepts, including Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), and AI-powered assistants. • Basic familiarity with Microsoft Power ...

Generative Ai Intern information

See Springfield, MA salary details

$8

$16

$24

How much do generative ai intern jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for generative ai intern in Springfield, MA is $16.98, according to ZipRecruiter salary data. Most workers in this role earn between $14.38 and $19.18 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.
What are the most commonly searched types of Generative Ai jobs in Springfield, MA? The most popular types of Generative Ai jobs in Springfield, MA are:
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Analytics & AI Intern

Analytics & AI Intern

Amwins

Windsor, CT

$22/hr

Part-time, Internship

Posted 11 days ago


Amwins rating

7.8

Company rating: 7.8 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

169th of 281 rated insurance


Job description

Dates: Aug -Dec 2026 or Fall term

Hourly Rate: $22

Hours: Part-time (20 hrs.), non-exempt

Location: Windsor, CT (in-person)

Who Are We?

Business Risk Partners is a Program Administrator and Managing General Underwriting Agency located focused on providing specialty commercial liability coverage for clients through a national network of Agent and Brokers. Located in Windsor, Connecticut, BRP was founded in 2000 to provide specialty commercial liability coverage to middle market clients. BRP currently has a staff of about 40 employees focused on marketing, underwriting and administration.

What's In It For You?

This is a great opportunity to work on meaningful projects involving artificial intelligence and business automation — and to see how these technologies are used in a real company. You'll collaborate with experienced colleagues across our business and technology teams, learn a lot, and make a genuine contribution along the way.

What You'll Do

· Explore how AI can solve real problems and support day-to-day operations.

· Work with Microsoft Power Platform tools like Power Automate, Power Apps, and Power BI.

· Design, develop, and support AI-driven workflow automation solutions that improve business processes and operational efficiency

· Help build and test automation tools that make business processes faster and easier.

· Assist with testing, documenting, and improving the solutions we build.

· Collaborate with teammates across data, technology, and business functions.

· Research new AI tools and trends and share what you find with the team.

What We're Looking For

. Local applicants who can commute to our Windsor, CT office for this in-person, part-time role.

· Currently pursuing a bachelor's or master's degree in computer science, Data Science, Business Analytics, Artificial Intelligence, Engineering, or a related field.

· Students expecting to graduate in January or May of 2027 will be preferred.

· Some experience with AI tools or concepts — whether through classes, personal projects, or just genuine curiosity and self-guided learning.

· Knowledge of Generative AI concepts, including Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), and AI-powered assistants.

· Basic familiarity with Microsoft Power Platform tools (Power Automate, Power Apps, Copilot Studio) is a plus but not required.

· Strong knowledge of SQL Server or equivalent relational database systems, including the ability to write, understand, and optimize complex SQL queries.

· Comfortable working with data and eager to learn more.

· A good communicator who can work independently and as part of a team.

Nice to Have

· Any hands-on experience with AI assistants, chatbots, or workflow automation.

· Exposure to cloud platforms like Azure.

· Experience with a programming language like Python or JavaScript.

· A prior internship or project in AI, data, or analytics.

· Experience working with enterprise data warehouse environments and dimensional modeling concepts.

· Familiarity with ETL/ELT processes and data integration techniques.

· Understanding of data governance, data quality, and security best practices.

Pursuant to Connecticut regulation, the compensation range for this position is as stated and includes eligibility for performance-based bonuses.

Connecticut Pay Range
$22—$22 USD

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