Geospatial Analyst
Core
Produce high-quality annotated datasets from diverse imagery sources (satellite, LiDAR, aerial, ground-based) to feed AI/ML pipelines and protect critical infrastructure.
Role type
Geospatial Analyst (AI/ML data preparation)
Builds
Annotated datasets for AI/ML training and client deliverables
Domain
Energy infrastructure / Remote sensing / AI/ML data engineering
Deliverable
production ML models
Required skills
Imagery annotation, Image analysis, Remote sensing, GIS software, Generative AI tools, Python scripting, Satellite imagery processing, LiDAR point cloud annotation, Video annotation, Geo-referencing, Feature creation
Preferred skills
Geospatial libraries, Data processing automation
Responsibilities
Annotate and label imagery to identify, classify, and delineate features; Prepare, extract, and organize spatial and non-spatial data; Review annotated data for patterns, trends, and quality issues; Use AI tools to accelerate workflows and auto-generate documentation; Collaborate with AI/ML engineers to define annotation guidelines and refine labelling schemas; Ensure productivity targets and data quality consistency.