Real Estate Investor â Expert AI Trainer
Our founders are ex-Lazard and Partners Group, and we're headquartered in London and San Francisco. Mentis AI brings real-world expertise from finance into AI model training. We bridge the gap between human and artificial intelligence.
About this role: You will bring institutional real estate investment expertise to an AI training project covering acquisitions, underwriting, asset management, and fund-level analytics capturing how top REPE professionals evaluate opportunities, structure transactions, and manage assets across property types.
What we're looking for:
3â8 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: 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
Project Info (Requirements):
Minimum 15 hours commitment per week
Remote asynchronous contract
Join a research project with an elite AI lab. Help improve AI decision-making in real estate acquisitions, underwriting, and asset management
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FAQ
- Is the Real Estate Investor â Expert AI Trainer position at Mentis AI remote?
- Yes. This role was posted on Remote Frontend Jobs, a job board that lists exclusively fully remote positions.
- What is the salary for the Real Estate Investor â Expert AI Trainer role?
- The posted salary range for this position is Probably worldwide.
- When was this Real Estate Investor â Expert AI Trainer job posted?
- This listing was posted on February 20, 2026 and is still open for applications.
- How do I apply for the Real Estate Investor â Expert AI Trainer position at Mentis AI?
- Use the apply button on this page — it takes you directly to the employer’s application page.