Real Estate Investment Professional – AI Residency, Part-time
Mentis AI
contract
Posted on:
Location Type: Remote
Location: United States
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About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
real estate financial modelingDCFwaterfall structuresdevelopment proformasreturn attributiondebt structuringjoint venture documentationLP reporting
Soft Skills
intellectual curiosity