Remote Community Association Manager (Real Estate)
Turing is looking for candidates who have solid experience in property management, real estate operations, and community association administration. Role overview:In this role, you will be working on projects to help evaluate and improve AI by using your general industry knowledge and strong communication skills. No prior AI experience is required. The projects will help you learn how to leverage AI to advance your field. What does day-to-day look like:Design and solve real-world property management and community scenarios to test AI accuracy/reasoning, professionalism, and operational insights. Write clear, structured solutions covering tenant relations, lease admin, budgeting, and maintenance coordination. Requirements:4+ years of experience in property or community management, real estate operations, or facilities administration. Experience in U.S. real estate markets preferred. Comfortable using web-based tools for data review and annotation. Great English communication and reasoning skills. Perks of freelancing with Turing & offer details:Strong compensation (exact amount varies by project). Work in a fully remote environment. Engagement type: Contractor assignment/freelancer, potentially full-time. Duration of projects: approximately 1 month (with possibility for extension). What Turing is NOT seeking from your expertise:Confidential or proprietary information from any employer, university, etc. Trade secrets or internal company or university data. Specific client information or case details. Any information that would violate NDAs, employment agreements or other confidentiality obligations. About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.