Real Estate Investor — Expert AI Trainer

Mentis AIWorldwide1 month ago
dataFull-TimeMid Level
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Job Overview

Job Title

Real Estate Investor — Expert AI Trainer

Company

Mentis AI

Location

Worldwide

Job Type

Full-Time

Experience

Mid Level

trainertrainingfinancialinvestmentinvestorfinanceanalyticsnon tech

About This Role

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:

  • 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: 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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Why This Job Might Be a Good Fit

  • Fully remote full-time position
  • Mid Level data role at Mentis AI
  • Open to candidates in Worldwide

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About Mentis AI

Mentis AI

Tags: trainer, training, financial0 open positions

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Quick Facts

Job TypeFull-Time
ExperienceMid Level
LocationWorldwide
Categorydata
Posted1 month ago
Apply Now
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