Back to Jobs

Private Equity Consultancy, AI Training (Part-time)

Remote, USA Full-time Posted 2026-06-06

About Us: Mentis AI works at the intersection of private markets expertise and frontier AI systems. Our team combines institutional finance experience (Lazard, Partners Group) with machine learning and applied AI research. Operating across London and San Francisco, we collaborate with leading AI labs to improve how models reason, generalize, and make decisions in high-stakes financial contexts. The Opportunity: AI is rapidly becoming embedded into core investment workflows, ranging from screening, diligence, underwriting, portfolio management, and exit analysis. This residency is designed for private equity and growth equity professionals who want early, practical exposure to how advanced AI systems are built, evaluated, and improved. You will: Assess model outputs: Review AI-generated financial analyses and identify where the reasoning breaks down: for example bad assumptions, flawed logic, or conclusions that no experienced investor would reach. Translate investment judgment into test cases: Turn the thinking that's hard to write down into structured problems that actually challenge the model. Build real benchmarks: Create financial models, returns analyses and investment cases grounded in how private markets actually work. Compare human and AI reasoning: Document where professional judgment and model outputs diverge, and why. Why This Experience Is Valuable You will be among the first investment professionals to work directly on how frontier AI models reason about private markets. A distinctive profile for anyone who wants to sit at the intersection of investing and AI, whether at a fund, an AI company, or building something themselves. Hands-on exposure to how rapidly AI is reshaping deal workflows, from screening and diligence to portfolio monitoring and exit preparation. Who You Are 3 to 7 years of experience in PE or Growth Equity at a renowned large-cap or upper-middle market fund in Europe or the US Associate, VP, or Principal level; industry agnostic. Strong modeling and valuation skills with experience across the full deal lifecycle. Genuine intellectual curiosity about application of AI in finance Residency Structure Commitment: 15+ hours/week, flexible scheduling Location: remote globally, or in-person if in London Compensation: Paid professional engagement Start date: Immediate / Rolling Apply To This Job

Similar Jobs

Private Equity & Growth Equity MBA Fellowship | Frontier AI Research, US

Remote, USA Full-time

Property Tax Appeals Consultant (California)

Remote, USA Full-time

Property Tax Appeals Consultant (IL- Cook County)

Remote, USA Full-time

Senior Growth Marketing Campaigns Manager

Remote, USA Full-time

Senior Art Director

Remote, USA Full-time

Senior Full-stack Engineer (backend-leaning)

Remote, USA Full-time

Systems Engineer, Field Services

Remote, USA Full-time

Property Tax Appeals Consultant (Oregon)

Remote, USA Full-time

Property Tax Appeals Consultant (Pennsylvania)

Remote, USA Full-time

Property Tax Appeals Consultant (New Jersey)

Remote, USA Full-time

Experienced Data Entry Assistant – Remote Opportunity with arenaflex

Remote, USA Full-time

Experienced Authorization Specialist I (Data Entry) – Remote Opportunity with arenaflex

Remote, USA Full-time

LCSW Supervisee in Social Work Outpatient Therapist (remote or hybrid)

Remote, USA Full-time

Part-Time Remote Pharmacist (Minnesota Medical Cannabis Program)

Remote, USA Full-time

Fullstack React / Python - IA (100% remoto)

Remote, USA Full-time

Experienced Full Stack Customer Support Representative – Remote Chat Support Agent | No Experience Needed | Earn $25-$35/hr

Remote, USA Full-time

HR & Talent Acquisition Manager

Remote, USA Full-time

Experienced Remote Customer Technical Support Representative – Digital Solutions for Education

Remote, USA Full-time

Compliance Consulting Director(Commercial P&C Underwriting)

Remote, USA Full-time

Registered Dietitian - Eating Disorders (Eastern Time Zone - Remote)

Remote, USA Full-time