Intern, Geodesy & National Mapping
Core
Automate the discovery, detection, and collection of publicly available geospatial information to enhance and update the SLA's High-Resolution Map (HRMap) building and infrastructure layers.
Role type
Intern, Geospatial Data Engineer (AI/LLM)
Builds
Automated change detection workflows for national mapping data
Domain
Geospatial mapping, Public data engineering, AI/LLM
Deliverable
production ML models
Required skills
Python programming, Web crawling, Data extraction, AI/LLM techniques, Geospatial data analysis, Data validation
Preferred skills
Experience with unstructured text processing, Prototyping logic for change detection
Technologies
Python, Web crawling tools, LLM frameworks
Responsibilities
Develop proof-of-concept workflows for automated data collection from public sources, Design logic to detect building and infrastructure changes, Validate extracted data for HRMap integration, Document methodologies and findings