Property Manager - AI trainer at Ryz Labs

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Property Manager - AI trainer at Ryz Labs. Location Information: Remote. Join our customer's team as a Property Manager - AI Trainer and play a pivotal role in training artificial intelligence models that will revolutionize the property, real estate, and community association management industries. As a subject matter expert (SME), you will contribute to building smarter property tech and CRM systems by simulating real-world scenarios and sharing your domain expertise.. Key Responsibilities:- Simulate and document daily property management workflows, including lease negotiations, building operations, and resident relations.- Review, evaluate, and improve AI-generated property management content for accuracy and practical relevance.- Craft detailed scenarios based on real industry cases, focusing on rent, buy, and sell processes.- Collaborate with AI developers and product teams to enhance system responses and decision-making logic.- Develop and refine training materials related to property listings, client interviews, property tours, and contract drafting.- Provide expert feedback to ensure AI systems adhere to industry standards and best practices in property management.- Stay updated on the latest trends in real estate management and technology implementation.. Qualifications:- Proven experience as a Property, Real Estate, or Community Association Manager, with direct involvement in rent, buy, or sell transactions.- Exceptional written and verbal communication skills, with the ability to clearly explain complex processes.- Strong attention to detail and a passion for accuracy in both operational tasks and content creation.- Familiarity with property technology platforms or customer relationship management (CRM) systems.- Ability to analyze and synthesize industry processes to inform AI training.- Comfortable working independently and collaborating remotely with cross-functional teams.- Demonstrated commitment to staying updated on industry regulations and best practices.. Preferred Qualifications:- Experience supporting or training AI, chatbots, or CRM platforms within the property management sector.- Prior participation in process improvement or technology adoption projects.- Membership in professional property management or real estate associations.. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world.. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years.. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists.. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership - step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be..