Geospatial Analyst

Aidash Systems; Bengaluru; On-site; INR 600,000 - 800,000; Full time

Job summary

Aidash Systems in Bengaluru is seeking a Geospatial Analyst to produce high-quality annotated datasets from satellite, LiDAR, aerial and ground-based imagery. You will feed AI/ML pipelines and client deliverables while building AI-accelerated workflows to boost team speed.

You will annotate, label and georeference multi-source imagery, review data quality, and collaborate with AI/ML engineers to refine labeling guidelines and deliver model-ready datasets.

Qualifications

• 1–4 years in imagery annotation, remote sensing or related field.
• Hands-on with annotation platforms; GIS knowledge is a plus.
• Experience using generative AI (Claude, ChatGPT) to speed tasks.
• Able to draft reports and summarize analysis with GenAI tools.

Responsibilities

• Annotate and label imagery to identify features like vegetation, assets, terrain, infrastructure.
• Prepare, extract and organize spatial and non-spatial data per AI model needs.
• Review data for patterns, quality issues using annotation platforms and in-house tools.
• Use AI tools to accelerate annotation, auto-generate documentation and reports.
• Perform annotation tasks including object classification, digitization, geo-referencing, feature creation.
• Leverage Gen AI to build automations or semi-automated annotation pipelines.
• Collaborate with AI/ML engineers to define guidelines and labeling schemas.
• Ensure productivity targets with focus on quality and consistency.

Skills

Geospatial analysis

Image annotation

Python scripting

Generative AI tools

Data quality

Dataset workflows

Tools

Annotation platforms

GIS software

AI tooling

Job description

Job Summary

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.

Responsibilities

• 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

What We're Looking For

• 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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.