Geospatial Analyst

As a Geospatial Analyst at AiDASH, you will produce high-quality annotated datasets from diverse imagery sources — satellite, LiDAR, aerial, and ground-based panoramic images and videos. Your work will directly feed AI/ML pipelines and client deliverables that protect critical infrastructure. This role demands a sharp eye for detail, comfort working with visual and geospatial data at scale, and fluency with modern AI tools. You won’t just annotate images; you’ll build AI-accelerated workflows that make the entire team faster.

Annotate and label imagery (satellite, LiDAR, aerial, drone, ground-based panoramic photos and videos) to identify, classify, and delineate features such as vegetation, assets, terrain, and infrastructure components

Prepare, extract, and organize spatial and non-spatial data based on AI model and customer delivery requirements

Review annotated data for patterns, trends, and quality issues using annotation platforms and in-house tools

Use AI tools and assistants to accelerate annotation and workflows, auto-generate documentation, and draft reports

Perform annotation tasks including object classification, digitization, geo-referencing, and feature creation across multi-source imagery

Leverage generative AI tools to build automations or semi-automated annotation pipelines that boost team productivity

Collaborate with AI/ML engineers to define annotation guidelines, refine labelling schemas, and ensure datasets meet model training and delivery standards

Ensure productivity targets are met with utmost focus on annotation quality, consistency, and adherence to project specifications

1 to 4 years of work experience in imagery annotation, image analysis, remote sensing, or a related domain