PE & Growth Equity Professionals - Expert AI Trainer

Mentis Technology Solutions Inc.

Job Overview

Location

United Kingdom

Job Type

Contract

Full Job Description

📋 Description

• This role offers senior private equity and growth equity professionals a unique opportunity to shape the future of AI in institutional investing by translating deep financial expertise into actionable AI training data and evaluation frameworks.
• You will directly influence how frontier AI models understand and reason about complex private market transactions, bridging the gap between human investment judgment and machine learning systems.
• Day to day, you will develop and refine realistic investment prompts that simulate junior analyst queries to test AI-generated insights for relevance, accuracy, and depth in private equity and growth equity contexts.
• You will systematically compare your professional investment reasoning with AI outputs, identifying gaps in logic, assumption handling, and scenario analysis to improve model performance.
• You will design structured problem frameworks that capture how experienced investors navigate uncertainty, stress-test assumptions, and structure deals — translating these cognitive processes into challenges that push AI reasoning capabilities.
• You will construct and validate expert benchmarks using real-world financial models, returns analyses, and investment cases drawn from your PE and growth equity experience to evaluate and train frontier AI systems.
• You will gain hands-on exposure to how AI is transforming deal workflows across sourcing, due diligence, portfolio monitoring, and exit preparation, positioning you at the forefront of AI adoption in private markets.
• You will collaborate with a multidisciplinary team of AI researchers, former Lazard and Partners Group professionals, and leading AI labs in London and San Francisco to advance the application of AI in high-stakes financial decision-making.
• Through this residency, you will develop rare expertise in AI model evaluation and prompt engineering within finance, enhancing your ability to leverage AI tools in future investment roles while contributing to the development of more reliable, transparent AI systems for institutional use.

🎯 Requirements

• 3 to 7 years of experience in private equity or growth equity at a renowned large-cap or upper-middle market fund in Europe or the US
• Associate, VP, or Principal level position with proven experience across the full deal lifecycle, including sourcing, execution, monitoring, and exit
• Strong financial modeling and valuation skills with demonstrated ability to build and interpret complex investment models
• Genuine intellectual curiosity about the application of AI in finance and a willingness to engage with emerging technologies
• Excellent analytical and communication skills to articulate investment reasoning clearly and evaluate AI-generated outputs critically
• Ability to work independently and collaboratively in a remote, flexible environment with a commitment of 15+ hours per week

🏖️ Benefits

• Hourly compensation based on experience, offering flexible earning potential for a part-time, remote residency
• Fully remote work structure allowing participation from anywhere in the world with flexible scheduling to accommodate existing professional commitments
• Direct exposure to cutting-edge AI research and collaboration with leading AI labs and institutional investment experts
• Opportunity to contribute to the development of AI systems that could reshape private equity and growth equity workflows
• Early access to frontier AI models and practical experience in prompt engineering and AI evaluation within financial contexts
• Professional growth through interdisciplinary work at the intersection of finance and AI, enhancing your profile in an evolving industry

Skills & Technologies

Design

Remote

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Mentis Technology Solutions Inc.

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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.

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