AI Development & Experimentation Intern

External Crown Castle CareersCanonsburg, PA
10h$20Hybrid

About The Position

The AI Development & Experimentation Intern helps shape the future of Crown Castle’s real estate operations through hands‑on AI work. You’ll build prototypes using machine learning, automation, and analytics to improve site acquisition, portfolio management, and landowner engagement. You’ll explore emerging technologies, test new ideas, and identify solutions to real operational challenges. Working with cross‑functional teams, you’ll translate business needs into actionable AI insights and support the growth of data‑driven decision making in telecom infrastructure.

Requirements

  • Currently enrolled as a student in a degree program from an accredited higher education institution
  • Applicants must have completed at least 60 credit hours by the first day of the internship
  • Ability to work full-time (40 hours/week) from June 1 to August 6, 2026
  • Authorization to work in the U.S. on a full-time, regular basis without additional sponsorship
  • Effective communication between teammates and manager.
  • Agility to learn new skills and abilities as work within your group may change.
  • Strong written and verbal communication skills with an ability to present complex information in a clear and simple format.

Nice To Haves

  • Preferred field(s) of study: Artificial Intelligence, Software Engineering, Computer Science, Data Science, Mathematics, or related technical field.
  • Preferred Languages: Python, SQL, JavaScript, and/or R
  • Exposure to working with CSVs, APIs, or database queries
  • Familiarity with supervised vs. unsupervised learning models
  • Exposure to quantitative analysis
  • Collaborative work done in a way that balances educated decision making with measured speed of implementation.
  • Ability to influence conversations and work through building of relationships, thoughtful framing of issues, and building influence through excellent work.

Responsibilities

  • Data Handling : Collect, clean, preprocess, and analyze large data sets for training model creation.
  • AI Model/Agent Development : Build, test, debug, and deploy AI Agents and Models.
  • Research and Innovation : Identify and implement AI technologies.
  • Automation : Utilize tools, technologies and coding to automate routine processes at scale.
  • Documentation and Reporting : Maintain detailed records of AI experiments, model development process, and results.
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