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Kastle is an innovative company developing an AI operating system tailored for consumer lending. The firm collaborates with several of the largest mortgage lenders in America, aiming to revolutionize their contact centers and compliance operations utilizing AI voice agents. With backing from prominent investors such as Y Combinator, Commerce Ventures, and seasoned executives from firms like Snapdocs, Google, and WePay, Kastle is positioned to transform the way millions of borrowers interact with financial institutions.
Kastle is on the lookout for a part-time AI Trainer who has hands-on experience operating phones within the mortgage industry. This position offers a unique opportunity to contribute to improving the company’s AI system through various tasks such as providing feedback on conversations, annotating data, and performing quality tests. Candidates who have experience as customer service or collections agents in the mortgage servicing sector will find this position particularly rewarding, as it allows them to leverage their industry knowledge to train AI in real-world scenarios.
The AI Trainer role involves several key responsibilities that focus on enhancing the performance of the AI system:
Annotate and label data arising from mortgage-related conversations. This involves categorizing and tagging various elements to build a comprehensive dataset for training AI.
Provide feedback on AI-generated responses to ensure they are accurate and beneficial for users. Your insights will play a crucial role in refining the AI's conversational abilities.
Train the AI system to better manage mortgage servicing phone calls. This includes simulating interactions to enhance the AI’s understanding of customer queries and responses.
Test the AI system for potential issues such as response quality, overall customer experience, and the realism of interactions. Identifying flaws will help improve the system's effectiveness.
Work approximately 10 hours per week on flexible schedules, offering a degree of freedom in how and when tasks are completed.
To be considered for the AI Trainer position, candidates need to meet specific qualifications:
Minimum of 5 years of experience as a customer service agent at a mortgage servicing company. This extensive experience is crucial for understanding the nuances of customer interactions in this field.
In-depth knowledge of the mortgage industry, which includes key areas such as escrow processes, handling payment inquiries, managing loss mitigation calls, and addressing various other servicing-related questions.
Strong attention to detail is necessary for accurately annotating data and providing constructive feedback.
Excellent communication skills are essential, as the role will involve conveying insights effectively.
Candidates must have access to a reliable internet connection and a computer suitable for remote work, enabling seamless collaboration.
While not mandatory, certain preferred qualifications can bolster a candidate's application:
At least 3 years of experience as a Mortgage Customer Service Supervisor, conveying leadership and advanced expertise in customer service.
Familiarity with providing feedback to customer service agents is advantageous, as the role may involve guiding AI responses based on sample dialogues.
Joining Kastle as an AI Trainer comes with multiple benefits that enhance the job's appeal:
Enjoy flexible part-time hours, allowing for a better work-life balance while contributing meaningfully to innovative AI technology.
Engage in the unique opportunity to influence the development of cutting-edge AI technology, shaping the future of AI applications in mortgage services.
Work entirely from the comfort of your home, which grants flexibility and convenience.
The AI Trainer position at Kastle presents a compelling opportunity for individuals with a strong background in the mortgage industry. By leveraging existing customer service skills and expertise, one can actively shape the future of AI technology and improve the customer experience in financial services. The combination of flexible working hours, remote capabilities, and the chance to contribute to groundbreaking advancements in AI makes this role a valuable proposition for interested job seekers.
This job offer was originally published on remoteOK.com
This job offer summary has been generated using automated technology. While we strive for accuracy, it may not always fully capture the nuances and details of the original job posting. We recommend reviewing the complete job listing before making any decisions or applications.
