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MBA Intern - AI Ops Transformation

Boston, MA

$16.50 - $21.75/hr

We are looking for a forward-thinking MBA intern to join our Operations leadership team for the ... We provide these tools across all disciplines, from Engineering and Product to Sales and Support ...

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MBA Intern - AI Ops Transformation

Boston, MA · On-site

$51/hr

We provide these tools across all disciplines, from Engineering and Product to Sales and Support ... We use AI tools to support our recruiters and interviewers with tasks like note-taking ...

HCI

AI Summer Intern

Ellicott City, MD

$15 - $20/hr

AI Intern 2026 AI Developer Intern -- 60-90 Day Summer Internship What We're Looking For HCIactive is a forward-thinking, highly experienced AI development organization that has fully transformed ...

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How much do intern ai programmer jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for intern ai programmer in the United States is $18.84, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.47 per hour, depending on experience, location, and employer.

What is the difference between Intern Ai Programmer vs Intern Data Scientist?

AspectIntern Ai ProgrammerIntern Data Scientist
Required CredentialsBasic programming skills, coursework in AI/MLStatistics, data analysis, programming skills
Work EnvironmentTech companies, AI research labsData-driven companies, research institutions
Industry UsageAI development, machine learning projectsData analysis, predictive modeling

Intern Ai Programmers focus on developing AI algorithms and models, often requiring programming and basic AI knowledge. Intern Data Scientists analyze data to extract insights, emphasizing statistical and analytical skills. Both roles are common in tech and research industries, but they differ in daily tasks and skill emphasis.

What does an Intern AI Programmer do?

An Intern AI Programmer assists in the development and implementation of artificial intelligence (AI) algorithms and systems within a team. Their responsibilities often include writing code, testing AI models, and supporting data collection and preprocessing tasks. They work closely with senior programmers and data scientists to learn best practices, debug software, and contribute to projects involving machine learning, natural language processing, or computer vision. This role is usually designed to provide practical, hands-on experience with AI technologies in a professional setting.

What types of projects and responsibilities can an Intern AI Programmer expect during their internship?

As an Intern AI Programmer, you can expect to work on a variety of hands-on projects, such as assisting in developing and testing machine learning models, contributing to data preprocessing, and supporting senior AI engineers with coding tasks. Interns often participate in team meetings, collaborate with cross-functional groups like data scientists or software developers, and help document code or research findings. The work environment is typically collaborative, with mentorship provided to help interns learn best practices in programming and AI development. This role offers a valuable opportunity to gain exposure to real-world AI challenges and contribute to meaningful projects while building your technical skillset.

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

To thrive as an Intern AI Programmer, you generally need a strong background in computer science fundamentals, programming languages like Python or C++, and basic knowledge of machine learning concepts. Familiarity with frameworks such as TensorFlow or PyTorch and version control systems like Git is typically expected. Problem-solving skills, eagerness to learn, and effective teamwork are valuable soft skills in this role. These skills and qualities are crucial for contributing to AI projects and adapting quickly to evolving technologies in a collaborative environment.
What cities are hiring for Intern Ai Programmer jobs? Cities with the most Intern Ai Programmer job openings:
What are the most commonly searched types of Ai Programmer jobs? The most popular types of Ai Programmer jobs are:
What states have the most Intern Ai Programmer jobs? States with the most job openings for Intern Ai Programmer jobs include:
Intern Ai Programmer jobs near you
Software Engineering Intern (AI, BI, DevOps)

Software Engineering Intern (AI, BI, DevOps)

Tampa Brass & Aluminum Corp

Tampa, FL

$15 - $16/hr

Internship

Posted 22 days ago

Job description

Employment Type: Paid Internship

Duration: 6-month internship with the possibility to extend based on performance and project needs
Eligibility: U.S. Citizen or Green Card Holder

Overview
We are seeking a motivated Software Engineering Intern to join our technical team and gain hands-on experience across several cutting-edge domains including Business Intelligence (BI), Computer Vision, Artificial Intelligence (AI), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and DevOps.

This internship is ideal for students or early-career technologists who enjoy solving complex problems, experimenting with emerging technologies, and contributing to meaningful, real-world projects. You will work alongside senior engineers on initiatives that support analytics, automation, and AI-driven solutions across our organization.

Key Responsibilities
Computer Vision & AI Projects
· Collaborate on building, training, and testing machine learning or computer vision models.
· Support data preprocessing, image labeling, and model evaluation.
· Assist in developing RAG pipelines, integrating vector databases, and fine-tuning LLMs for internal knowledge systems.
· Use Open WebUI and related frameworks to build and test conversational or AI assistant interfaces.

Automation & Workflow Engineering
· Leverage n8n for building and orchestrating workflow automations between internal systems and APIs.
· Integrate automation into business processes, dashboards, and AI/LLM pipelines.
· Document and version automation workflows for reuse and maintainability.

Data & BI Dashboards
· Assist in designing and developing dashboards using tools such as Power BI, Metabase, or Grafana.
· Work with data engineers to visualize KPIs, operational metrics, and predictive insights.
· Automate data pipelines and ETL processes using SQL, scripting, or n8n automation workflows.

DevOps & Infrastructure
· Learn to deploy and monitor applications using Docker, Kubernetes, and CI/CD pipelines.
· Gain exposure to GitOps tools such as Gitea, Argo CD, and Harbor for container registry and continuous deployment.
· Assist in setting up and maintaining on-premise and cloud environments (AWS, Azure).
· Participate in system automation, observability, and logging/monitoring initiatives.

Collaboration & Documentation
· Work closely with engineers, data scientists, and leadership to deliver prototypes, reports, and production-ready modules.
· Help document APIs, workflows, and system architecture for technical reference.

Desired Skills & Traits
· Strong foundation in one or more programming languages (Python, JavaScript/TypeScript, Java, or C#).
· Solid understanding of SQL and relational databases (MySQL, PostgreSQL, etc.).
· Familiarity with data visualization tools (Power BI, Metabase, Grafana).
· Basic understanding of machine learning frameworks (PyTorch, TensorFlow, or OpenCV a plus).
· Understanding of RAG, vector databases, and LLM integration workflows.
· Experience or interest in automation tools such as n8n.
· Basic knowledge of networking concepts, including DNS, firewalls, and network routing.
· Experience or curiosity about cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes).
· Comfortable using Linux and command-line tools.
· Strong analytical mindset, attention to detail, and eagerness to learn.
· Effective communication and documentation skills.

Learning Outcomes & Goals (First 90–180 Days)
· Build and deploy a computer vision or AI prototype, incorporating LLM and RAG components.
· Develop and deploy APIs for system integrations and AI workflows.
· Design and implement one or more BI dashboards visualizing real operational data.
· Create and automate workflows using n8n to connect data sources, dashboards, and AI services.
· Gain experience with DevOps workflows using Gitea, Argo CD, Harbor, Helm, and Kubernetes.
· Deploy and manage AI interfaces using Open WebUI, integrating internal models and data.
· Present completed projects and findings to the engineering and leadership teams.

Job Type: Internship

Pay: $15.00 - $16.00 per hour

Work Location: In person

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