Top 2 Ai intern Jobs in Lancaster Pa

Operations AI Intern
Phytogenx Incorporated —Morgantown, PA
- Computer Science
- SQL
- Continuous improvement
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AI & Data Science Intern
Carlisle Construction Materials (CCM) —Carlisle, PA
Stay current with emerging tools, frameworks, and best practices in agentic AI, software engineering, computer vision, and data science.
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Operations AI Intern
Phytogenx Incorporated —Morgantown, PA
Ability to communicate findings to both technical and non‑technical teams. Research new AI tools, frameworks, and best practices applicable to manufacturing…
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Intern, IT Data & AI Engineering - Fall 2026
BMW —Columbus, OH
A satisfactory completion of a background investigation including verification of education, prior employment, criminal history, credit check history, and pre-…
$26 - $32 an hour
16h
Information Technology/Data Analytics Co-op/Intern - Spring 2027
Honda —Marysville, OH
Collaborate with manufacturing departments and production control teams to develop reports supporting departmental and plant‑level initiatives.
$23.35 - $34.38 an hour

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Operations AI Intern

Phytogenx Incorporated
Morgantown, PA

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Job Details

Internship

Qualifications

AI models
Rapid prototyping
Performance dashboard reports
Dashboard development
Operational analysis
AI use case identification
Industrial automation
Data visualization software proficiency
Production data analysis
Computer Science
Machine vision systems
Predictive modeling analysis
Engineering development testing
Requirements design
Tooling
Technical documentation
Software implementation
Dashboard creation support
Engineering process optimization
Metrics Reporting
AI platforms (beyond public GPTs)
Technical report writing
Computational framework
SQL
Technical solutions implementation
Machine intelligence
Continuous improvement
Industrial Engineering
Requirements analysis
Data reporting support

Full Job Description

We are seeking a motivated AI Intern to support focused artificial intelligence and automation projects across our manufacturing operations. This role is ideal for a student or early‑career technologist who wants real‑world experience applying modern AI tools to solve practical production, quality, and workflow challenges. You will work closely with engineering, operations, and quality teams to prototype AI solutions, analyze data, and help streamline processes. This is a hands‑on role with exposure to a wide variety of manufacturing systems and continuous improvement initiatives.

Key Responsibilities

Assist in designing, testing, and deploying AI‑powered solutions that support production, quality, and efficiency goals.
Collect, clean, and analyze operational datasets from manufacturing systems (e.g., production logs, quality data, equipment metrics).
Build lightweight prototypes such as predictive models, computer vision tools, or workflow automations.
Support development of dashboards, reports, and visualizations for plant metrics and AI outputs.
Collaborate with cross‑functional teams to document requirements, findings, and implementation steps.
Research new AI tools, frameworks, and best practices applicable to manufacturing environments.
Maintain clear documentation of models, workflows, and results.

Preferred Qualifications

Currently pursuing a degree in Computer Science, Data Science, Engineering, AI/ML, Industrial Engineering, or related field.
Foundational knowledge of machine learning concepts and data analysis.
Experience with Python, SQL, AI frameworks, computer vision tools, visualization software, or automation platforms is a plus.
Interest in manufacturing, process optimization, or industrial automation.

Soft Skills

Strong problem‑solving mindset and curiosity.
Willingness to learn new tools quickly.
Ability to communicate findings to both technical and non‑technical teams.
Detail‑oriented, organized, and able to work independently with guidance.

What You’ll Gain

Hands‑on experience applying AI to real operational challenges.
Exposure to modern manufacturing processes and industrial systems.
Mentorship from engineers and leaders supporting innovation initiatives.
Opportunity to contribute directly to efficiency, quality, and capability improvements.

Quick Apply

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