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

Hands-on experience with annotation and labelling platforms; familiarity with GIS software is an added advantage

Demonstrated use of generative AI tools (e.g. Claude, ChatGPT) to enhance day-to-day work — whether for analysis, drafting reports, automating repetitive tasks, improving annotation speed, or any other productivity gains

Comfortable using Gen AI tools to draft reports, generate annotation guidelines, and summarize analysis outputs with sound judgment

Working knowledge of Python or scripting for data processing and automation is preferred; geospatial libraries are a bonus

Experience working with satellite imagery, aerial photography, LiDAR point clouds, or video annotation for AI/ML pipelines

Ability to learn quickly and develop deep functional knowledge of project specifications, annotation schemas, and quality procedures

Strong focus on data quality, annotation accuracy, and consistency across large-scale datasets

We are proud to be an equal-opportunity employer. We are committed to embracing diversity and inclusion in our hiring practices, and we promote a work environment where everyone, from any race, colour, religion, sex, sexual orientation, gender identity, or national origin, can do their best work.