Real Esate Investment Professionals - AI Residency (Part-time) | Frontier AI Research
Job Overview
Location
USA
Job Type
Contract
Category
Data Scientist
Date Posted
February 25, 2026
Full Job Description
đź“‹ Description
- • Join Mentis AI, a pioneering firm at the forefront of integrating institutional finance expertise with cutting-edge AI systems. Our distinguished team comprises seasoned professionals from elite financial institutions such as Lazard and Partners Group, coupled with leading minds in machine learning and applied AI research. Operating from our hubs in London and San Francisco, we actively collaborate with premier AI laboratories to enhance the reasoning, generalization capabilities, and decision-making processes of AI models within high-stakes financial environments. We are seeking exceptional Real Estate Investment Professionals for a part-time AI Residency, offering a unique opportunity to shape the future of AI in real estate.
- • This residency is meticulously crafted for institutional real estate private equity (REPE) professionals eager to gain early, practical insights into the development, evaluation, and refinement of advanced AI systems specifically tailored for REPE investing. You will immerse yourself in real-world applications across diverse property types and risk profiles, understanding how AI is revolutionizing every facet of the investment lifecycle.
- • As an AI Resident, your core responsibilities will revolve around bridging the gap between sophisticated real estate investment practices and the evolving capabilities of artificial intelligence. You will be instrumental in constructing expert benchmarks, meticulously building and validating real-world underwriting models, return analyses, and investment cases. These benchmarks will serve as the critical foundation for evaluating the performance and efficacy of frontier AI systems, ensuring they align with the rigorous standards of institutional investment.
- • A significant aspect of your role will involve stress-testing the reasoning capabilities of AI models. You will meticulously diagnose weaknesses in AI-generated real estate analyses, pinpointing areas where logical frameworks, underlying assumptions, or essential market intuition may falter. This diagnostic work is crucial for identifying limitations and guiding the iterative improvement of AI algorithms.
- • Furthermore, you will play a pivotal role in designing conceptual frameworks that translate the nuanced methodologies of REPE professionals into actionable problems for AI. This includes articulating how seasoned investors evaluate acquisitions, structure complex transactions, and manage assets throughout the entire investment lifecycle, thereby pushing the boundaries of AI's reasoning and problem-solving potential in finance.
- • A key deliverable will be the systematic comparison of human versus machine judgment. You will meticulously evaluate and quantify the divergence between professional real estate judgment and AI-generated outputs across a spectrum of asset classes, risk profiles, and fund structures. This comparative analysis will provide invaluable data for understanding AI's current capabilities and future potential in decision support.
- • This experience offers an unparalleled opportunity to be among the very first real estate investment professionals to work directly on how frontier AI models interpret and interact with critical investment decisions, including acquisitions, underwriting, and asset management. It provides a distinctive professional profile for individuals aspiring to operate at the nexus of real estate and artificial intelligence, whether within established funds, burgeoning AI companies, or through entrepreneurial ventures.
- • You will gain hands-on exposure to the transformative impact of AI on real estate workflows, encompassing the entire investment spectrum from initial deal screening and in-depth underwriting to the intricacies of joint venture structuring, proactive asset management, and comprehensive LP reporting. This residency is designed to equip you with a forward-looking perspective on the integration of technology in finance.
- • Your contributions will directly influence the development of AI tools that are not just technologically advanced but also deeply grounded in the practical realities and strategic imperatives of institutional real estate investment. This is a unique chance to leverage your domain expertise to guide the creation of next-generation financial technologies.
🎯 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 experience in acquisitions or asset management.
- • Strong real estate financial modeling skills, including DCF, waterfall structures, development proformas, and return attribution.
- • Experience across multiple asset classes (e.g., multifamily, office, industrial, hospitality, retail) and risk profiles (e.g., 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 for your time and expertise.
- • Flexible scheduling to accommodate your existing commitments, with a commitment of 15+ hours per week.
- • Remote work flexibility, allowing you to contribute from anywhere globally.
- • Opportunity for in-person collaboration if based in London or San Francisco.
- • Direct, hands-on experience with frontier AI systems and their application in a leading financial sector.
- • Develop a unique and highly sought-after skill set at the intersection of real estate and artificial intelligence.
Skills & Technologies
Remote
About Mentis Technology Solutions Inc.
Mentis provides enterprise data-centric security solutions focused on dynamic data masking, sensitive data discovery, database activity monitoring, and compliance reporting. Founded in 2004, the company serves Fortune 500 organizations and government agencies worldwide, helping protect structured and unstructured data across relational databases, big data platforms, and mainframe environments through continuous classification, real-time masking, and risk analytics without altering source data or impacting performance.
