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As an Underwriting AI Expert, you will play a critical role in modernizing underwriting workflows ... Develop and refine policy pricing and rating models using statistical and machine learning ...
Insurance Underwriting AI Expert
$100 - $120/hr
As an Underwriting AI Expert, you will play a critical role in modernizing underwriting workflows ... Develop and refine policy pricing and rating models using statistical and machine learning ...
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Ai Rater information
What is an AI Rater job?
An AI Rater evaluates and provides feedback on artificial intelligence models, typically improving search engines, chatbots, or recommendation systems. They assess the relevance, accuracy, and quality of AI-generated content based on specific guidelines. This role requires strong analytical skills, attention to detail, and familiarity with the subject matter being reviewed. AI Raters often work remotely and on a flexible schedule.
What are the key skills and qualifications needed to thrive in the Ai Rater position, and why are they important?
To thrive as an AI Rater, you generally need strong attention to detail, analytical thinking, and proficiency in English, often supported by formal education such as a high school diploma or higher. Familiarity with web browsers, online research, and company-specific rating platforms or guidelines is essential. Excellent time management, adaptability, and effective written communication help individuals excel in this position. These skills and qualities ensure accurate and consistent evaluations of AI-generated content, directly impacting the improvement of artificial intelligence systems.
What does a typical day look like for an AI Rater?
A typical day for an AI Rater involves reviewing and evaluating various types of content, such as search engine results, social media posts, advertisements, or chatbot responses, to ensure they meet quality and relevancy standards. You may follow detailed guidelines to rate or annotate content, complete assigned tasks in a web-based platform, and provide feedback to help improve AI performance. Most positions are remote and offer flexible schedules, allowing you to plan your workload around personal commitments. Collaboration is generally limited, as most work is performed independently, but periodic communication with team leads for training or updates is common.
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$100 - $120/hr
Part-time
Posted 20 days ago
Job description
This role is for one of our clients
Compensation: $100-$120 per hour (20 hours per week commitment)
Job Type: Part-time / Contract
Location: US, UK, Canada, France, Portugal (remote)
We are seeking a highly motivated Insurance Underwriting AI Expert to join our growing team. This role sits at the intersection of insurance domain expertise and advanced analytics, focusing on transforming traditional underwriting processes using AI-driven solutions. The ideal candidate will bring strong knowledge of underwriting fundamentals along with the ability to design, implement, and optimize intelligent systems that enhance decision-making, efficiency, and risk outcomes.
As an Underwriting AI Expert, you will play a critical role in modernizing underwriting workflows by embedding data-driven insights into core processes such as risk assessment, pricing, and portfolio management. You will collaborate closely with underwriting, actuarial, product, and engineering teams to develop scalable AI solutions aligned with business objectives.
Requirements
Key Responsibilities:
Required Skills & Qualifications:
Preferred Qualifications:
Compensation: $100-$120 per hour (20 hours per week commitment)
Job Type: Part-time / Contract
Location: US, UK, Canada, France, Portugal (remote)
We are seeking a highly motivated Insurance Underwriting AI Expert to join our growing team. This role sits at the intersection of insurance domain expertise and advanced analytics, focusing on transforming traditional underwriting processes using AI-driven solutions. The ideal candidate will bring strong knowledge of underwriting fundamentals along with the ability to design, implement, and optimize intelligent systems that enhance decision-making, efficiency, and risk outcomes.
As an Underwriting AI Expert, you will play a critical role in modernizing underwriting workflows by embedding data-driven insights into core processes such as risk assessment, pricing, and portfolio management. You will collaborate closely with underwriting, actuarial, product, and engineering teams to develop scalable AI solutions aligned with business objectives.
Requirements
Key Responsibilities:
- Design and implement AI/ML models to support risk assessment and selection, improving accuracy in evaluating applicant profiles, exposures, and potential losses.
- Translate underwriting guidelines and business rules into data models and algorithms that automate and augment decision-making.
- Develop and refine policy pricing and rating models using statistical and machine learning techniques, ensuring alignment with market competitiveness and profitability goals.
- Analyze historical data and external datasets to identify risk patterns, trends, and anomalies that inform underwriting strategies.
- Support appetite evaluation and guideline application by building intelligent systems that dynamically match risks to underwriting appetite and highlight exceptions.
- Collaborate with cross-functional stakeholders to integrate AI models into underwriting platforms and workflows.
- Continuously monitor model performance, validate outputs, and recalibrate algorithms to ensure compliance, fairness, and accuracy.
- Contribute to the development of underwriting dashboards, reporting tools, and decision-support systems.
- Stay updated on regulatory requirements and ensure all AI-driven underwriting practices adhere to compliance standards.
Required Skills & Qualifications:
- Bachelor's or Master's degree in Insurance, Actuarial Science, Data Science, Statistics, or a related field.
- 2-8 years of experience in insurance underwriting, analytics, or AI/ML applications within the insurance domain.
- Strong understanding of underwriting principles, including risk evaluation, pricing strategies, and policy structures.
- Hands-on experience with machine learning techniques such as regression, classification, clustering, and predictive modeling.
- Proficiency in tools such as Python, R, SQL, and data visualization platforms.
- Experience working with large datasets, data preprocessing, and feature engineering.
- Familiarity with underwriting systems, rating engines, and insurance data structures is highly preferred.
- Strong analytical thinking, problem-solving abilities, and attention to detail.
Preferred Qualifications:
- Exposure to commercial or personal lines underwriting.
- Experience with AI model deployment and MLOps practices.
- Knowledge of regulatory frameworks impacting underwriting and pricing.