Una candidatura hecha a medida para este puesto de trabajo — un currículum y una carta de presentación adaptados que responden directamente a la oferta.
Mercor is seeking experienced Property, Real Estate, and Community Association Managers to evaluate and improve AI-generated content and workflows for property management. Leverage your real-world expertise across residential, commercial, and industrial properties and community associations.
Responsibilities include evaluating AI-produced budgets, leases, maintenance plans, and governance documents for accuracy, and comparing AI responses for financial soundness, compliance, and feasibility.
Mercor is hiring experienced Property, Real Estate, and Community Association Managers to help evaluate and improve cutting‑edge AI systems. In this role, you’ll evaluate AI-generated property management content and workflows, leveraging your real‑world expertise in operating and maintaining residential, commercial, and industrial properties and managing community associations.
Evaluate AI-generated property operating budgets, lease analyses, maintenance plans, association governance documents, and other property management artifacts for quality and accuracy.
Compare AI-generated responses head‑to‑head based on financial soundness, regulatory and lease compliance, and operational feasibility.
Review scenarios involving tenant and owner relations, rent collection, vendor contracts, capital improvements, and association board matters and provide expert feedback.
4+ years of experience as a Property Manager, Real Estate Manager, Community Association Manager, HOA Manager, Leasing Manager, or another closely related property or association management role.
Experience planning, directing, or coordinating the leasing, operation, maintenance, or governance of residential, commercial, or industrial real estate properties or community associations.
Ability to commit 20+ hours per week.
Strong written English communication skills.
Start date: Immediate
Duration: Approximately 4–6 weeks
Payment: task‑based (payment upon first task approval). Experts who complete their first task within the required timeline will then be qualified to be paid hourly for the remainder of the project.