Design insurance policy-processing scenarios, create operational reference materials, evaluate AI-generated responses, and provide feedback on policy lifecycle accuracy. The role covers intake, binding, issuance, endorsements, billing, renewals, cancellations, reinstatements, documentation, quality control, and servicing workflows. Candidates need at least two years of policy administration, underwriting operations, insurance servicing, or premium operations experience, along with strong process discipline and knowledge of policy administration systems.
This role is for one of our clients
Compensation: $80 per hour
We are partnering with a leading AI lab to train frontier models on high-quality insurance reasoning data. We're hiring Policy Administration and Insurance Operations Managers to design realistic policy-processing and servicing scenarios, evaluate model outputs against established operational standards, and help shape how the next generation of AI reasons about the insurance policy lifecycle.
We welcome carrier, MGA, TPA, and insurance-services professionals who have managed or performed policy issuance, endorsements, billing, renewals, cancellations, document production, quality control, or related servicing workflows.
Requirements
What You'll Do
- Design realistic scenarios involving application intake, binding, issuance, endorsements, certificates, billing, audits, renewals, cancellations, reinstatements, and policy-document delivery
- Create work products such as processing instructions, transaction reviews, exception-handling plans, service communications, and operational quality checks
- Write "golden" reference responses at experienced insurance-operations quality
- Grade AI-generated responses against structured rubrics for procedural accuracy, completeness, sequencing, and adherence to service standards
- Identify incorrect effective dates, missing documentation, improper transaction handling, and confusion between operational processing and substantive underwriting decisions
- Provide written feedback the research team uses to improve model behavior
- Participate in onboarding office hours and calibration sessions
You're a Good Fit If You
- Have 2+ years of professional experience in policy administration, underwriting operations, insurance servicing, premium operations, or policy-processing management
- Understand the chronological policy lifecycle from intake and binding through issuance, servicing, renewal, termination, and record retention
- Have hands-on experience with policy administration systems, workflow queues, transaction controls, or quality-assurance processes
- Can translate policy and procedural requirements into precise operational steps
- Demonstrate excellent written communication, process discipline, and high attention to detail
- Can distinguish administrative execution from underwriting, claims, legal, and actuarial decisions
Bonus Qualifications
- Experience across multiple P&C lines or insurance platforms
- Billing, premium audit, producer licensing, or forms-management experience
- Experience implementing or testing a policy administration system
- Lean, Six Sigma, project-management, or operations credential
- Experience leading service teams or establishing operational controls
Role Highlights
- Minimum 20 hours per week (ideally 40+)
- Role starts immediately, applications reviewed on a rolling basis
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
Similar Jobs
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Manage enterprise customers after implementation, helping them achieve business value from Samsara’s IoT platform. Develop joint success plans, lead executive business reviews and customer workshops, recommend workflow improvements, explain platform capabilities, resolve barriers, and mentor Customer Success and Support teams. Collaborate with Sales, Support, Sales Engineering, Product, and Engineering while supporting customers across transportation, utilities, field services, and other physical-operation industries.
Top Skills:
Internet Of Things (Iot)SaaS
Artificial Intelligence • Fintech • Information Technology • Marketing Tech • Payments • Social Impact • Software
Leads and builds Donorbox’s product marketing function, owning positioning, messaging, product-led growth, launches, enablement, competitive intelligence, and performance measurement. Partners with Product, Sales, Customer Success, and Marketing to drive acquisition, conversion, retention, and expansion. Manages one direct report, establishes scalable processes and KPIs, influences roadmap priorities, and presents data-driven insights to executive leadership.
Top Skills:
Product-Led Growth (Plg)SaaS
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Lead and develop a Canada Scaled Customer Success team to drive onboarding, adoption, expansion, and renewals via digital scale programs. Hire and coach CSMs, manage KPIs/OKRs, improve processes and tooling, collaborate cross-functionally, and escalate high-stakes customer moments to ensure measurable customer outcomes.
Top Skills:
CRMCs PlatformDigital Engagement ToolsGainsightProduct AnalyticsTotango
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.
