INTERNSHIP DETAILS

Intern - AI

CompanyFairstead ESC LLC
LocationNew York
Work ModeOn Site
PostedFebruary 19, 2026
Internship Information
Core Responsibilities
The intern will write, test, and debug Python code to implement and enhance Large Language Models (LLMs) and assist in preprocessing and cleaning data for training and fine-tuning these models. Additionally, the role involves meeting with end-users to discuss coding and business requirements.
Internship Type
full time
Company Size
244
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Fairstead is a purpose-driven real estate firm dedicated to building affordable communities across the country. Headquartered in New York, with offices in Colorado, Florida, and Washington DC, Fairstead owns a portfolio of more than 25,000 apartments across 28 states that includes 17,000 units under management. Fairstead’s commitment to communities is realized through a comprehensive platform that leverages in-house expertise in acquisitions, development, design and construction, asset management, and property management.
About the Role

Fairstead is a purpose-driven real estate firm dedicated to building affordable communities across the country. Headquartered in New York, with offices in Colorado, Florida, and Washington DC, Fairstead owns and manages a portfolio of more than 27,000 apartments across 28 states. As an integrated owner, operator, and innovator, Fairstead brings development, construction, and property management under one unified platform to deliver high-quality affordable housing that serves our residents at scale.

At Fairstead, we believe affordable housing should be thoughtfully designed, professionally managed, and responsibly operated. We seek to create and preserve housing that serves residents while delivering long-term value to communities, partners, and stakeholders. Fairstead challenges industry norms through our tech-forward, entrepreneurial approach to affordable housing. In addition to core real estate capabilities, we operate innovative service lines designed to improve resident outcomes, strengthen communities, and drive operational efficiency. We embrace digital transformation, data-driven decision-making, and emerging technologies, including AI, to build scalable systems that support sustainable growth, grounded in a culture of entrepreneurship, innovation, partnership, dedication, and integrity.

 

 

 

We are seeking a motivated summer Intern to join our AI team and assist in developing tools with large language models (LLMs). This is an opportunity to gain practical hands-on experience with AI and software engineering. You will contribute to coding, testing, and optimizing LLMs using the latest AI modeling software.

 

Responsibilities:

  • Write, test, and debug Python code to implement and enhance LLMs.
  • Assist in preprocessing and cleaning data for training and fine-tuning LLMs.
  • Meet with end-users to discuss coding and business requirements.

 

Requirements:

  • Proficiency in Python programming in a Mac or Linux environment. (Include a coding sample with your application)
  • Basic understanding of machine learning concepts.
  • Familiarity with databases (structured and unstructured) is helpful.
  • Experience with cloud computing on Azure and AWS is helpful.
  • Strong analytical and problem-solving skills and attention to detail.
  • Strong communication skills are essential.

Please note, this internship is on site in our NYC HQ from June 1, 2026 - July 24th 2026. 

Diversity in backgrounds and experiences is key to Fairstead’s success. Being an equal opportunity employer is a central tenet of our philosophy that shapes who we are and the communities we serve. Our goal is to ensure competitive total compensation that is commensurate with experience, location, and other market benchmarks. 

 

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Key Skills
PythonLarge Language ModelsLLMsMachine LearningData PreprocessingData CleaningSoftware EngineeringTestingDebuggingAnalytical SkillsProblem-SolvingCommunication
Categories
TechnologySoftwareData & AnalyticsEngineering