Mentis AI

Artificial Intelligence

• Help improve AI reasoning across the insurance industry
• Contribute expertise to a structured training project

Insurance – Expert AI Trainer

AI Research Scientist

• Develop and iterate realistic prompts that you would ask a junior role to test the relevance and quality of AI-generated insights.
• Systematically evaluate divergence between professional investment reasoning and AI outputs across equities, fixed income, and multi-asset contexts.
• Translate how institutional investors evaluate securities, construct portfolios, and manage risk into problems that push the limits of AI reasoning.
• Build and validate real-world investment cases, securities analyses, and portfolio management frameworks used to evaluate frontier AI systems.

Asset Management Professional – AI Residency, Part-time

• Contribute direct lending and private credit expertise to an AI training project
• Help develop training data that reflects how credit professionals underwrite deals, structure facilities, and monitor middle-market borrowers across the private credit spectrum

Private Credit – Expert AI Trainer

Financial Planning and Analysis

• Help improve AI reasoning across investment banking and capital markets by contributing deal experience to a structured research project
• Evaluate, generate, and refine content that reflects how senior IB professionals think through transactions from origination and pitching through execution and close

Investment Banking, Capital Markets – Expert AI Trainer

• Develop and iterate realistic prompts that you would ask a junior role to test the relevance and quality of AI-generated insights.
• Systematically evaluate divergence between professional investment reasoning and AI outputs.
• Translate how investors navigate uncertainty, stress assumptions, and structure transactions into problems that push the limits of AI reasoning.
• Build and validate real-world financial models, returns analyses, and investment cases used to evaluate frontier AI systems.

PE & Growth Equity Professionals – Expert AI Trainer

• 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.

Real Estate Investor – Expert AI Trainer

Private Equity & Growth Equity MBA Fellowship

• Collaborate with AI researchers to review, label, evaluate, and refine AI systems built to support healthcare professionals and enhance patient outcomes
• Clinical Note & Record Review: Label and summarize clinical documentation to train and validate model understanding
• Model Evaluation: Assess AI-generated medical content and recommendations for clinical accuracy, safety, and reasoning quality
• Prompt Design & Testing: Develop and refine clinical prompts to improve model response quality and reliability
• Error & Feedback Analysis: Identify and document patterns or limitations in model outputs to support fine-tuning and improve model performance

Primary Care Physician, AI Project

• This residency is designed for senior research analysts and portfolio managers who want exposure and a meaningful experience towards the direction of AI in your domain and earn early, practical exposure at using advanced AI system.

Expert AI Trainer

AI Trainer – Hedge Fund

• Develop and iterate realistic prompts that you would ask a junior role to test the relevance and quality of AI-generated insights.
• Systematically evaluate divergence between professional investment reasoning and AI outputs across corporate, SME and retail banking.
• Translate how commercial banks access clients, structure loans and credit facilities, manage balance sheet and risk into problems that push the limits of AI reasoning.
• Build and validate real-world credit cases, client-coverage systems and portfolio management frameworks used to evaluate frontier AI systems.

Commercial Banking Professional – AI Residency, Part-time

• Develop and iterate realistic prompts that you would ask a junior role to test the relevance and quality of AI-generated insights.
• Systematically evaluate divergence between professional insurance judgment and AI outputs across investments, underwriting, and actuarial contexts.
• Translate how insurance professionals evaluate risk, price policies, manage general account portfolios, and model liabilities into problems that push the limits of AI reasoning.
• Build and validate real-world underwriting cases, actuarial analyses and investment frameworks used to evaluate frontier AI systems.

Insurance Professional – AI Residency, Part-time

• Contribute hedge fund investment expertise to an AI training project
• Help capture analytical frameworks and portfolio management judgment used across leading hedge fund strategies

Hedge Fund – Expert AI Trainer

• Construct expert benchmarks: Build and validate real-world credit analyses, underwriting cases, and portfolio monitoring frameworks used to evaluate frontier AI systems.
• Stress-test model reasoning: Diagnose weaknesses in AI-generated credit analyses, identifying where logic, assumptions, or underwriting intuition fail.
• Design frameworks: Translate how credit professionals evaluate borrowers, structure facilities, and monitor middle-market companies through the deal lifecycle into problems that push the limits of AI reasoning.
• Compare human vs. machine judgment: Systematically evaluate divergence between professional credit judgment and AI outputs across direct lending, unitranche, and structured credit contexts.

Private Credit Professional – AI Residency, Part-time

• 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.