Crown Castle

Position Title: AI Development & Experimentation Intern

Company Summary

For more than three decades, Crown Castle has led the way in shared communications infrastructure, delivering profitable solutions by connecting communities, businesses, and people, and enabling each to thrive with reliable access to voice and data in more places, faster than ever before. When you join Crown Castle, you become part of a dynamic team of passionate and collaborative professionals engaging in complex challenges and contributing to projects that shape the future of life and work.

Role

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.

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.

Expectations

• Collaborative work done in a way that balances educated decision making with measured speed of implementation.
• Effective communication between teammates and manager.
• Ability to influence conversations and work through building of relationships, thoughtful framing of issues, and building influence through excellent work.
• 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.

Education/Certifications

• 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
• Preferred field(s) of study: Artificial Intelligence, Software Engineering, Computer Science, Data Science, Mathematics, or related technical field.

Skills and Experience

• 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
• 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

Reports to: Manager, Process Improvement

Work Plans: This role falls into our hybrid work model working in the office Tuesdays, Wednesdays, and Thursdays. On Mondays and Fridays, teammates on the hybrid schedule will have the option to work from the office or home. Beginning July 1, 2026, our hybrid work model will be adjusted to 4 days in the office on Monday through Thursday. On Fridays, teammates on the hybrid schedule will have the option to work from the office or home.

Compensation Information: The hourly pay offered for this position is $19.50 per hour.

Generative AI Usage Guidelines: We recognize that generative AI tools can support candidates in preparing application materials and researching roles. You may use AI tools to help draft or refine your resume, or to research our company and industry. However, AI-generated responses are not permitted during live interviews or assessments, unless explicitly stated. We value authenticity and want to hear your unique perspective, experiences, and problem-solving approach. Misrepresentation of skills or experiences - whether facilitated by AI or other means - may result in disqualification. Candidates may be asked to attest that their interview and assessment responses reflect their own work and thinking, without the use of generative AI tools.

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.

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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