Insurance SME Needed: Policy Tower Labeling

𝗔𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗥𝗼𝗹𝗲 Brain Co is building AI systems for the insurance industry. We work on complex, document-heavy workflows covering policy interpretation, claims analysis, and coverage reasoning, and we need experienced insurance professionals to help us do it right. As an Insurance SME, you will annotate insurance documents, review AI-generated outputs, and help us develop the rubrics and benchmarks that define quality for our machine learning pipelines. Your expertise shapes what our models learn and how they are evaluated. This is a part-time, contract engagement with flexible hours designed to work alongside your existing career, not replace it. 𝗪𝗵𝗮𝘁 𝗬𝗼𝘂 𝗪𝗶𝗹𝗹 𝗗𝗼 This role focuses on excess and specialty policy interpretation. You will work with real policy documents and help our models understand how coverage is structured across layered programs. Your primary labeling tasks: • Locate and annotate the limits structure within a given excess policy • Given an insuring agreement and its ensuing exclusions, produce a structured conclusion about how coverage responds to a described scenario 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗱 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 • USA-based. 3 years of experience minimum; 5+ years strongly preferred, specifically within excess and specialty insurance. • Experience in excess and specialty (E&S) insurance as an underwriter, broker, claims professional, or coverage counsel. • Strong written communication skills. You will be producing structured written outputs, not just verbal expertise. • Ability to work independently and meet annotation throughput targets with high accuracy. • Deep familiarity with excess policy structures: follow-form vs. standalone forms, difference-in-conditions endorsements, retained limit provisions, and multi-layer program architecture. • Ability to parse insuring agreements, exclusions, conditions, and endorsements and render a precise, defensible coverage conclusion. 𝗡𝗶𝗰𝗲 𝘁𝗼 𝗛𝗮𝘃𝗲 • Broad multiline experience across General Liability, Professional Liability, and related casualty and specialty lines. • Prior experience in AI/ML data labeling, legal document review, or expert annotation work. • Familiarity with ISO forms, manuscript endorsements, and layered program structures. • Experience with primary and excess GL, professional lines (E&O, D&O, Cyber), or environmental policies. 𝗬𝗼𝘂 𝗪𝗶𝗹𝗹 𝗧𝗵𝗿𝗶𝘃𝗲 𝗜𝗳 𝗬𝗼𝘂 • Have deep, hands-on experience in specialty insurance including underwriting, claims, broking, or coverage counsel, with a focus on excess and specialty lines (E&S). • Can read a policy end-to-end including declarations, forms, endorsements, and schedules of underlying, and explain precisely how coverage responds across primary and excess layers. • Are based in the USA, ideally in the San Francisco Bay Area to collaborate in person with our AI and product teams when needed. • Are comfortable working in shared documents, async communication tools, and structured annotation interfaces. 𝗖𝗼𝗺𝗽𝗲𝗻𝘀𝗮𝘁𝗶𝗼𝗻 & 𝗟𝗼𝗴𝗶𝘀𝘁𝗶𝗰𝘀 • Part-time, contract engagement with flexible scheduling that fits your current work. • Competitive hourly rate commensurate with experience and depth of specialty expertise. • Remote-friendly with collaboration over shared documents and working sessions with our AI and product teams. • Ideal location: San Francisco / Bay Area for optional in-person collaboration; fully remote applicants with strong credentials will be considered.