About the Role

This role involves enhancing AI models through expert annotation and structured data for insurance applications. Responsibilities include labeling insurance data, curating datasets, and collaborating with technical teams. It requires deep insurance expertise and strong analytical skills.

Key Responsibilities

• Use proprietary software to label and annotate insurance-related data for AI model development
• Curate and deliver high-quality datasets for actuarial, claims, and risk assessment scenarios
• Collaborate with technical teams to improve annotation workflows and enhance model training tools
• Identify and solve complex problems in insurance analytics to improve AI performance and accuracy
• Design and refine efficient data collection and labeling systems for insurance datasets

Required Skills & Qualifications

Must Have:

• Professional experience in insurance or related field such as actuarial analysis, risk management, or claims processing
• Proficiency in both informal and professional English writing and communication
• Strong analytical, organizational, and problem-solving skills with ability to work independently
• Demonstrated ability to interpret complex instructions and ensure data precision

Nice to Have:

• Professional certifications such as ASA/FSA or CPCU
• Experience mentoring or training others in insurance-related practices
• Familiarity with AI, data annotation tools, or machine learning workflows

Benefits & Perks

• Competitive pay ranging from $90,000 to $200,000 annually for U.S.-based professionals
• International pay ranges available upon request
• Compensation packages may include additional benefits based on location