Construction/ Architect Analyst - AI Evaluation Team

Remote Workable locations: Boston, Massachusetts, United States Location: Boston, Massachusetts, United StatesFull-TimeJunior

Salary not disclosed

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Job Details

2-4 years of experience in, U.S. commercial real estate, construction analysis, property management, development, or PropTech
Experience working with property documents, construction documents, leases, contracts, budgets, reports, or plans
background in CRE, development, construction, architecture, asset management, property management, or operations roles involving construction plans, lease data, and/or financial data
Native-level English — must; ability to read, write, and understand professional documents, contracts, reports, and technical materials 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 identify issues, gaps, and inconsistencies 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 and AI-driven workflows
Good communication skills and ability to collaborate with different teams

Review and process real estate and construction-related documents, including leases, property data, plans, reports, budgets, and project materials
Extract key data points from contracts, property documents, and construction-related sources into structured systems
Work with U.S. commercial real estate, property, construction, and asset-management terminology
Clean, organize, and validate large volumes of data
Identify inconsistencies, missing information, anomalies, and document gaps, and help resolve them
Analyze construction and property-related inputs to support accurate data structuring and evaluation
Work closely with internal teams to ensure data is accurate, consistent, 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 deeper domain expertise in real estate, construction, and customer use cases

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