Insurance SME - Policy & Claims Labeling (Contract)

Other

• 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 combined role covers both sides of the insurance document intelligence pipeline: policy interpretation and claim analysis. It is designed for professionals with deep exposure to both underwriting and claims.
• Policy Tower 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
• Claim Triage labeling tasks:
• • Coverage: Determine whether the alleged loss triggers coverage, citing specific insuring agreements, exclusions, and conditions.
• • Liability: Assess the facts of loss and the strength of the liability case against the insured.
• • Litigation: Interpret the stage and trajectory of ongoing claim litigation.
• • Damages: Annotate claimed amounts and expected loss value based on available claim information.
• 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.
• • 3+ years of combined experience in excess and specialty insurance spanning both policy-side and claims-side work, as an underwriter, coverage attorney, wholesale broker, and/or claim adjuster or examiner.
• • Ability to interpret excess policy structure and render a coverage conclusion, and to evaluate a claim across all four adjuster dimensions.
• • Experience with General Liability, Professional Liability, or other casualty/specialty lines is required.
• 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.