Rebuild how the world works, to make institutions work better for the people they serve.
Brain Co. builds AI-native operating systems for large, regulated institutions. Each system is built for a specific industry, powered by agents that push real workflows forward. Underneath it all is Atlas, our proprietary platform that keeps customers in control, secure by design, and never locked into one model.
Brain Co. is entering its next phase of production deployments on a national scale with an elite team built from Palantir, Google, Meta, and Nvidia, and a growing footprint across government, insurance, health, and financial services.
Joining now means shaping both the company and a new category of applied AI. Every project here ships to production and is expected to create measurable customer value and impact.
You’ll work alongside exceptional peers on some of the hardest problems in applied AI. It’s the kind of work you’ll still be proud of in ten years from now.
Brain Co is applying frontier AI to specialty insurance. We are building AI that reads specialty insurance policies — declarations, forms, endorsements, schedules of underlying, layered programs — and turns them into structured, decision-ready data. We need experienced specialty insurance underwriters/coverage attorneys/consultants/professionals to help us do it right.
You will work directly with our engineering team: telling us where our AI falls short, annotating insurance documents, reviewing AI-generated output, and helping us build the rubrics and benchmarks that define quality for our machine learning pipelines. Your expertise shapes the product so it reflects how specialty insurance is actually practiced.
We are looking for someone who can commit approximately 2–10 hours per week for an initial 3–4 months, with the opportunity to extend based on mutual interest and project needs.
• . Locate and annotate the limits structure within a given excess policy — limits, sublimits, retentions, attachment points, and how the layers stack.
• . Given an insuring agreement and its ensuing exclusions, produce a structured conclusion about how coverage responds to a described scenario.
• . Review AI-generated output, fix mislabeled data, and grade agent performance against what a seasoned practitioner would conclude.
• . Resolve the ambiguous, conflicting, and unusual situations — manuscript wordings, follow-form excess, nested exclusions, schedule-of-underlying disputes, implicit market conventions — that determine whether a product is trusted by real practitioners.
• . Partner with our team to design the scoring criteria and review workflows that tell us, line by line, whether an extraction or a coverage conclusion is accurate.
• . Help us decide how coverage should be interpreted and presented — what a practitioner needs to see, in what structure, and what would mislead them. Translate practice into product requirements.
• . Sit between the documents and the engineers: explain terminology, market convention, and the “why” behind how things are done, and flag where our assumptions do not match reality across lines of business.
• . Review real policies, endorsements, and claims documents and tell us the correct answer — coverages, limits, sublimits, retentions, attachment points, exclusion logic, and how layers stack — so we can measure and improve the AI against an expert standard.
• 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, coverage attorney or counsel, or consultant.
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• Have deep, hands-on experience in specialty insurance – underwriting, claims, broking, or coverage counsel — and/or broad multiline experience across the lines we work in (General Liability, Professional Liability, and related casualty and specialty lines).
• Can read a policy end-to-end — declarations, forms, endorsements, schedules of underlying — and explain precisely how coverage responds, including across primary and excess layers.
• Have strong opinions on what “correct” means and can articulate the reasoning, not just the verdict, so it can be encoded into an AI system.
• Communicate clearly with non-insurance experts and enjoy the back-and-forth of teaching engineers your craft.
• No technical background required – your job is to tell us if the AI gets it right, not to explain how it works
• Claims experience — working as, or closely alongside, claim adjusters, claim examiners, complex or litigated claims specialists, or claims counsel.
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• Part-time, contract engagement with flexible scheduling that fits your current work.
• Competitive hourly rate commensurate with experience and depth of expertise.
• Remote-friendly, with collaboration over shared documents and working sessions with our AI and product teams.
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