Honeycomb Insurance - Senior AI Underwriter

Remote - Austin, TX; Chicago, IL; Denver, CO; East Coast - Remote; Midwest - Remote; New York City, NY$100k - $120k+ Equity1mo ago

Remote Senior NA Insurance Artificial Intelligence Insurance Underwriter Quality Assurance

Requirements

• 4+ years of underwriting/insurance experience (commercial preferred) • Bachelor’s degree or equivalent education/experience preferred • Retail agency relationship preferred • Curiosity, hardworking, self-accountable, positive attitude, humble and fun • Have an opinion, share your opinion and be open to other opinions • Passion to obtain, retain and employ knowledge – as well as share knowledge • Excellent verbal and written communication skills • Strong analytical skills and attention to detail

Responsibilities

• Partner closely with AI researchers and engineers throughout the full model lifecycle — from early research and development through post-production monitoring. Translate complex underwriting guidelines into clear, consistent property assessments that inform and improve AI models. • Conduct in-depth property reviews to identify gaps or weaknesses in current AI models and recommend improvements. • Supervise labeling teams to ensure accurate property classification in production models. • Provide training and ongoing guidance to annotation teams; perform continuous quality assurance on annotation projects. • Assist in the discovery and evaluation of new and revised AI models, contributing underwriting subject matter expertise. • Maintain open, proactive communication across underwriting and AI teams. Take on special projects and assignments as the team's needs evolve.

Benefits

• Salary: $100,000 - $120,000 • ISO stock options • Medical, dental, and vision coverage for you and your dependents • HSA with company contributions • 401(k) with employer match • Flexible time off • 10 company-paid holidays • Paid family leave • Honeycomb is committed to fair and equitable compensation practices. The base salary range listed in each job posting represents our good faith estimate of what we expect to pay for the role. Actual compensation may vary based on skills, experience, education, and location, as well as internal alignment and market factors.