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Freelance Insurance Expert
Freelance Insurance Domain Expert & GenAI Capability Specialist About Uber AI Solution sUber AI Solutions is Uber’s enterprise marketplace connecting highly experienced industry professionals with leading Generative AI researchers and product teams working on cutting-edge AI systems. We partner with top-tier subject matter experts to improve how advanced large language models (LLMs) understand, evaluate, and reason through complex, real-world industry workflows .
About the Ro leWe are seeking an accomplished Insurance Domain Expert & GenAI Capability Specialist to lead a critical, client-facing initiative. In this remote, project-based engagement, you will bridge the gap between complex insurance operations (underwriting, claims, actuarial science, compliance) and frontier AI alignmen t.Your primary mandate will be creating robust evaluation frameworks and rubrics from scratch to pressure-test LLMs, while simultaneously building organizational and data capabilities that ensure enterprise-grade safety, factual accuracy, and domain-specific reasonin g.
Key Responsibilit iesWorkflow Definition & Scenario Generation: Translate intricate insurance processes—such as complex policy underwritings, claims adjustments, and regulatory compliance checks—into detailed prompt-response scenarios and gold-standard datasets for AI traini ng.Rubric Design from Scratch: Architect comprehensive evaluation rubrics to assess LLM outputs. You will define multi-dimensional scoring matrices (covering nuances like policy interpretation, regulatory alignment, risk leakage, tone, and logical reasoning) where no pre-existing benchmarks exi st.LLM Evaluation & Adversarial Testing: Meticulously review, rate, and audit AI-generated insurance outputs. Conduct "red-teaming" (adversarial testing) to identify edge cases, hallucinations, or structural logic failures in insurance reasoni ng.Building Capability & AI Alignment: Standardize guidelines and training protocols for broader validation teams.
Partner closely with AI research engineers to translate domain specific errors into actionable feedback loops for model fine-tuning (RLHF/RLAI
F).What We Are Looking ForDeep Insurance Expertise: 10 years of hands-on experience within the Insurance domain. Deep familiarity with policy wording, risk frameworks, and regulatory constraints (e.g., state-specific mandates, compliance code s).GenAI & LLM Literacy: Foundational understanding of how Large Language Models operate, prompt engineering techniques, and common failure modes (hallucinations, style bias, logic gap s).First-Principles Framework Design: Proven capability to take highly unstructured, ambiguous domain problems and convert them into clear, structured evaluation frameworks or rubri cs.Exceptional Precision: Meticulous attention to detail and sharp analytical skills; ability to articulate exactly why an AI response fails domain or regulatory standar ds.Communication & Collaboration: Ability to collaborate seamlessly with data scientists and AI researchers, translating technical insurance jargon into machine learning objectiv es.Project Details & Flexibili ty:
Position Type: Remote / Independent Freelance Engagem ent.Work hours : 35 hours/week - 7 hours a dayCompensation: Competitive, premium hourly rates scaled to domain expert ise.
