Insurance SME - Policy & Claims Labeling (Contract)

𝗔𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗥𝗼𝗹𝗲 reputed company is building AI systems for the insurance industry. We work on reputed company, document-heavy workflows covering policy interpretation, claims analysis, and coverage reasoning, and we need reputed company insurance professionals to help us do it right. As an Insurance SME, you will annotate insurance documents, review AI-generated outputs, and help us reputed company 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 reputed company 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 reputed company and claims. Policy Tower labeling tasks:

• Locate and annotate the limits structure reputed company 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 reputed company 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-reputed company and claims-reputed company work, as an underwriter, coverage attorney, wholesale broker, and/or claim adjuster or examiner.
• Ability to interpret excess policy structure and reputed company a coverage conclusion, and to evaluate a claim across reputed company 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 reputed company 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 reputed company, 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 reputed company 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 reputed company 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 reputed company work.
• Competitive hourly reputed company 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.

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