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Posted 1mo ago

Real Estate Expert- AI Evaluation Team

@ REAL
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Tel Aviv-Yafo, Tel Aviv, Israel
OnsiteFull Time
Responsibilities:Review data, Extract data, Validate data
Requirements Summary:2-4 years in U.S. commercial real estate / property management / PropTech; contracts or property documents; native-level English; detail-oriented; data proficiency (Excel/Sheets); analytical; independent; data systems; good communication.
Technical Tools Mentioned:Excel, Google Sheets
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Job Description

REAL is building an AI Execution Platform for real estate organizations.

Today, the data required to run real estate is scattered across fragmented systems, leading to missed insights and preventable financial leakage.

REAL transforms this complexity into connected intelligence and automated execution, enabling enterprises to operate with greater precision and confidence.

REAL Values

Ownership: We take responsibility and move decisively.

Clarity: We simplify complexity to deliver meaningful impact.

Accuracy: Precision matters in everything we build.

Velocity: We work with urgency and intent.

Partnership: We collaborate closely with customers and teammates.

Role Overview

As 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