CoverGo | Insurtech
51 - 200 employees
☁️ SaaS
💰 $15M Series A on 2022-05
SaaS • Insurance
CoverGo is a leading insurtech company that specializes in providing next-generation digital solutions for health, life, and property & casualty (P&C) insurance sectors. It offers a comprehensive, AI-powered, no-code platform that allows insurers to build and distribute insurance products quickly, manage policies and claims efficiently, and overcome the limitations of legacy systems. CoverGo serves a global clientele, including insurers, managing general agents (MGAs), and insurtechs, empowering them to achieve digital transformation and enhance customer experiences. With a strong focus on flexibility and scalability, CoverGo enables the deployment of its platform in various configurations, such as standalone, integrated with existing systems, or as a greenfield solution, ensuring insurers stay competitive in the fast-evolving market.
AI Engineer Intern
🔥 0 minutes ago
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CoverGo | Insurtech
51 - 200 employees
☁️ SaaS
💰 $15M Series A on 2022-05
SaaS • Insurance
CoverGo is a leading insurtech company that specializes in providing next-generation digital solutions for health, life, and property & casualty (P&C) insurance sectors. It offers a comprehensive, AI-powered, no-code platform that allows insurers to build and distribute insurance products quickly, manage policies and claims efficiently, and overcome the limitations of legacy systems. CoverGo serves a global clientele, including insurers, managing general agents (MGAs), and insurtechs, empowering them to achieve digital transformation and enhance customer experiences. With a strong focus on flexibility and scalability, CoverGo enables the deployment of its platform in various configurations, such as standalone, integrated with existing systems, or as a greenfield solution, ensuring insurers stay competitive in the fast-evolving market.
📋 Description
• Analyze business documents such as insurance policies, claim forms, and financial reports to understand structure, logic, and extract key information. • Design structured test datasets, define ground truth data for validation, and create Q&A pairs to evaluate AI models’ reasoning and comprehension. • Run systematic tests on various AI models, evaluate performance, and identify potential gaps and areas for improvement. • Challenge AI systems with edge cases and complex scenarios to expose weaknesses and help refine model behavior. • Develop scripts to automate evaluation processes (optional for those with coding skills) • Assist in building evaluation pipelines (optional for those with coding skills) • Support data processing and basic model testing infrastructure (optional for those with coding skills)
🎯 Requirements
• Preferably located within the Asia timezone for better coordination • Coding skills are not required, but a strong plus. Candidates with programming knowledge (Python preferred) will have the opportunity to work on more technical and impactful components of the evaluation pipeline.
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