Real Estate Investment Professional – AI Residency, Part-time

Role Overview

• Construct expert benchmarks: Build and validate real-world underwriting models, return analyses, and investment cases used to evaluate frontier AI systems.
• Stress-test model reasoning: Diagnose weaknesses in AI-generated real estate analyses, identifying where logic, assumptions, or market intuition fail.
• Design frameworks: Translate how REPE professionals evaluate acquisitions, structure transactions, and manage assets across the investment lifecycle into problems that push the limits of AI reasoning.
• Compare human vs. machine judgment: Systematically evaluate divergence between professional real estate judgment and AI outputs across asset classes, risk profiles, and fund structures.

Requirements

• 3–8 years of experience in institutional real estate private equity (e.g. Blackstone Real Estate, Brookfield Asset Management, Starwood Capital, Lone Star Funds)
• Associate or VP level in acquisitions or asset management
• Strong real estate financial modeling skills: DCF, waterfall structures, development proformas, and return attribution
• Experience across multiple asset classes (multifamily, office, industrial, hospitality, retail) and risk profiles (core, value-add, opportunistic)
• Familiarity with debt structuring, joint venture documentation, and LP reporting
• Genuine intellectual curiosity about the application of AI in real estate investment

Benefits

• Paid professional engagement