Claims Processing Agent - Freelance AI Trainer

About the Role

Day-to-day, this role entails a deep dive into the intricacies of insurance claims, legal services, and financial regulations. Your expertise will be crucial in designing scenarios to test the robustness of AI systems, evaluating fraud-flagging scenarios, and building test cases that apply state-specific negligence rules. This is a unique chance to apply your knowledge and experience in a dynamic, remote environment.

Given the project-based nature of this work, flexibility and the ability to work independently are essential. You will be part of a network of specialists who are passionate about advancing AI technology in the insurance sector.

What You Will Do

• Evaluate AI-generated auto insurance claims decisions for accuracy, ensuring they align with current regulations and coverage policies.
• Design First Notice of Loss (FNOL) scenarios that include deliberate contradictions, decoy files, and outdated documents to assess the robustness of AI agents.
• Develop and grade fraud-flagging scenarios using structured reason codes, such as late reporting or inconsistent damage, for Special Investigation Unit (SIU) referral.
• Create subrogation test cases that apply state-specific negligence rules, comparing comparative versus contributory negligence, to assess the likelihood of recovery.
• Document test cases clearly, including correct answers, policy citations, and payout calculations, to ensure transparency and repeatability.
• Collaborate with the project team to discuss findings, provide insights, and contribute to the improvement of AI systems.
• Participate in regular project meetings to discuss progress, challenges, and future directions.
• Contribute to the development of best practices and guidelines for AI testing and evaluation in the insurance claims context.
• Stay updated on regulatory changes and advancements in AI technology to ensure the projects' relevance and compliance.

What We Are Looking For

• A degree in Insurance, Risk Management, Business Administration, Finance, Law, or a related field.
• At least 3 years of experience in insurance, claims, legal, or financial services, with a focus on claims adjusting or adjacent roles.
• Current or recent experience in claims and adjusting, or related fields, with a strong understanding of auto insurance coverage decisions.
• Familiarity with state-specific negligence rules and adjuster authority-limit culture.
• Strong written English skills (C1+), with the ability to communicate complex ideas clearly.
• AIC, CPCU, CIFI, or SCLA credential, though not required if hands-on experience is substantial.
• Ability to work independently in a remote environment, with excellent time management and organizational skills.
• Proficiency in using digital tools for project management, communication, and documentation.

Nice to Have

• Experience with AI or machine learning projects, especially in the insurance or financial sector.
• Knowledge of programming languages or data analysis tools, which could be beneficial for data-driven decision making.
• Certification in data science, AI, or a related field, demonstrating a commitment to professional development.
• Previous experience working in a freelance or project-based environment, with the ability to adapt to changing project requirements.

Benefits and Perks

• Competitive hourly rate, with the potential to earn up to $50 per hour equivalent, depending on contribution level and pace.
• The opportunity to work on diverse projects with leading tech companies, advancing your professional portfolio and network.
• Flexible, remote work arrangements, allowing you to manage your time effectively and work from anywhere.
• Access to a community of professionals with similar interests and expertise, providing a platform for knowledge sharing and collaboration.
• Opportunities for professional growth and development, with potential pathways to more permanent roles or advanced projects.
• A dynamic and supportive work environment that values innovation, creativity, and excellence.
• Regular feedback and performance evaluations to ensure you're meeting your goals and growing in your role.

• Tailor Your Application: Ensure your CV and cover letter explicitly highlight your experience in insurance claims, AI testing, and relevant certifications to stand out.
• Demonstrate English Proficiency: Since strong written English skills are required, consider including a brief writing sample or a link to a professional blog post to demonstrate your proficiency.
• Prepare for Scenario-Based Questions: Be ready to discuss how you would approach designing FNOL scenarios, evaluating fraud-flagging scenarios, and building subrogation test cases during your interviews.
• Research Mindrift and AI Trends: Show your interest in the company and the field by researching Mindrift's current projects and the latest developments in AI and insurance technology.
• Negotiate Based on Value: When discussing compensation, be prepared to negotiate based on the value your skills and experience bring to the project, considering factors like your hourly rate and the estimated project duration.
• Ask About Project Diversity: Inquire about the variety of projects you might be involved in, to ensure the role offers the kind of diversity and challenge you're looking for in a freelance position.
• Understand the Project Timeline: Clarify the expected duration of the project, the estimated hours per week, and how the workload might vary over time to plan your schedule effectively.