
Insurance Professionals - AI Residency (Part-time) | Frontier AI Research (US)
Job Overview
Location
USA
Job Type
Contract
Category
Data Analyst
Date Posted
March 15, 2026
Full Job Description
đź“‹ Description
- • Embark on a unique part-time AI Residency program at Mentis AI, a pioneering firm operating at the nexus of institutional investment expertise and cutting-edge AI systems. We are seeking seasoned insurance professionals to bridge the gap between deep domain knowledge and the transformative potential of frontier AI.
- • This residency offers an unparalleled opportunity for senior research analysts and portfolio managers to gain direct, practical experience in shaping the direction of AI within the insurance sector. You will be at the forefront of understanding and influencing how advanced AI systems reason, generalize, and make critical decisions in high-stakes financial and operational contexts.
- • Your core responsibilities will involve the meticulous development and iteration of realistic prompts. These prompts will be designed to simulate tasks typically assigned to junior roles, enabling a rigorous assessment of the relevance, accuracy, and quality of AI-generated insights across various insurance functions.
- • A significant aspect of this role will be the systematic comparison of human judgment against machine output. You will critically evaluate divergences between the nuanced, professional judgment of insurance experts and the outputs of AI systems, spanning critical areas such as investment strategies, underwriting decisions, and actuarial modeling.
- • You will play a key role in designing sophisticated frameworks that translate the complex methodologies insurance professionals use into AI-solvable problems. This includes articulating how risk is evaluated, policies are priced, general account portfolios are managed, and liabilities are modeled, pushing the boundaries of AI's reasoning capabilities.
- • Furthermore, you will be instrumental in constructing and validating expert benchmarks. This involves building real-world underwriting cases, detailed actuarial analyses, and robust investment frameworks that will serve as the gold standard for evaluating the performance and reliability of frontier AI systems.
- • This experience is exceptionally valuable, providing hands-on exposure to the profound ways AI is revolutionizing insurance workflows. You will gain insights into AI's impact on underwriting, pricing, portfolio management, reserving, and capital modeling, understanding its practical applications and future trajectory.
- • As one of the first insurance professionals to engage directly with how frontier AI models interpret and operate within carrier functions, you will contribute to a groundbreaking understanding of risk selection, insurance finance, and strategic decision-making.
- • This residency is designed for individuals who possess a genuine intellectual curiosity about the application of AI in the insurance industry and are eager to contribute their domain expertise to this rapidly evolving field.
- • The flexible, part-time structure (15+ hours/week) allows you to integrate this enriching experience with your current professional commitments, offering a unique pathway for career development and future-proofing your skillset.
- • You will collaborate with a team that blends deep asset management experience from institutions like Lazard and Partners Group with leading machine learning and applied AI research, fostering a dynamic and intellectually stimulating environment.
- • The remote nature of the residency, with flexible scheduling, ensures accessibility and accommodates a global talent pool, making this an inclusive and forward-thinking opportunity.
- • This is more than just an observational role; it's an active participation in defining the future of AI in insurance, leveraging your established expertise to guide technological advancement.
Skills & Technologies
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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