Role OverviewAs a Real Estate Expert - AI Evaluation Team at REAL, you will be responsible for working hands-on with real estate data and turning it into structured, high-quality inputs that power our platform.
This is a highly operational role with a strong analytical component. You will work closely with lease agreements, property documents, and asset-related data, primarily within the U.S. commercial real estate market, ensuring accuracy, consistency, and usability.
The role is ideal for someone with a background in U.S. commercial real estate or property management who enjoys working with data, going into details, and making things structured and scalable.
What You'll Do- Review and process real estate documents (leases, property data, plans) on a daily basis
- Extract key data points from contracts and input them into structured systems
- Work with U.S. commercial real estate documents and terminology
- Clean, organize, and validate large volumes of data
- Identify inconsistencies, missing data, and anomalies, and resolve them
- Work closely with internal teams to ensure data is accurate and aligned with product needs
- Support onboarding of new customer data into the system
- Maintain high data quality and accuracy standards
- Improve internal workflows and data handling processes over time
- Gradually build domain expertise in real estate data and customer use cases
RequirementsWhat We're Looking For- 2-4 years of experience in U.S. commercial real estate / property management / PropTech (CRE - strong advantage)
- Experience working with contracts, leases, or property-related documents
- Native-level English - must (ability to read, write, and understand professional documents and contracts in English)
- Strong attention to detail and ability to work with high accuracy
- Comfortable working with data (Excel / Google Sheets required)
- Analytical mindset and ability to spot issues in data
- Ability to work independently and handle operational tasks at scale
- Strong sense of ownership and responsibility
- Technical curiosity and willingness to work with data systems
- Good communication skills and ability to collaborate with different teams
