Insurance Expert Job Micro 1
Insurance Jobs.
Job Summary:
Join our customer’s team and play a key role in shaping the future of AI in the insurance industry. As an Insurance Expert – AI Trainer, you will leverage your deep insurance expertise to train cutting-edge AI models by annotating datasets and providing detailed insights into claims management, fraud detection, and risk assessment. This is a unique opportunity to drive impactful innovation while working remotely alongside a team of forward-thinking professionals.
Key Responsibilities:
- Review, analyze, and annotate insurance documents, claims files, and datasets to support AI model development.
- Articulate clear, step-by-step reasoning for underwriting, risk, or claims decisions to guide machine learning processes.
- Collaborate with data scientists and engineers to define labeling guidelines and improve data quality.
- Apply best practices in claims management workflows, policy administration, and regulatory compliance during data annotation and review.
- Identify patterns and anomalies related to fraud and collaborate on the enhancement of AI-driven fraud detection techniques.
- Provide domain-specific feedback to refine AI models and support quality assurance initiatives.
- Communicate findings and complex concepts effectively across multidisciplinary teams, both in writing and verbally.
Required Skills and Qualifications:
- Proven expertise in insurance—claims management, underwriting, actuarial analysis, or risk assessment.
- Hands-on experience with claims workflows and exposure to SIU/fraud prevention strategies.
- Strong knowledge of underwriting processes, pricing models, and policy administration.
- Familiarity with insurance regulations and compliance requirements.
- Meticulous attention to detail, analytical mindset, and problem-solving capabilities.
- Exceptional written and verbal communication skills with a commitment to clear documentation.
- Demonstrated ability to work independently in a remote environment and deliver high-quality results.
How to Apply
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