Data Labeler / Quality Assurance - GIS (20h)
Graz
Product – Customer Success /
Part-time /
Hybrid
Satellite constellations. Tactical drones. Synthetic environments. The world is producing more geospatial data than ever, and most organizations still struggle to turn it into usable, operational systems.
Blackshark.ai builds a GPU-native geospatial AI and terrain platform that powers simulation environments, and large-scale analytics. We enable customers to generate high-fidelity 3D terrain and extract actionable insights from satellite and drone imagery at global scale. Our technology is deployed across cloud, on-prem, air-gapped, and edge environments, tailored to our customers’ needs.
Founded in 2020, we’ve raised $35M in Series A funding from Microsoft M12, Point72 Ventures, In-Q-Tel, Safran, ISAI/Capgemini, and other leading investors in the US and Europe.
As a Data Labeler / QA, you will help ensure the accuracy and quality of the 2D and 3D geospatial data produced by Blackshark’s platform. This includes reviewing generated terrain and building data, identifying issues, and improving data quality through structured corrections and labeling workflows using GIS tools.
Your work will directly contribute to the creation of realistic digital environments used in simulation and analytics.
What You’ll Do
- Assess the quality of generated 2D and 3D geospatial content
- Review satellite and aerial imagery to verify building footprints and terrain features
- Identify and document data issues through structured issue reporting
- Correct building footprints and other geospatial features using QGIS
- Support labeling and classification workflows for geospatial datasets
- Collaborate with internal teams to improve data quality and labeling standards
- Potentially support airport labeling tasks depending on experience and knowledge
Your Profile
- Analytical, methodical, and detail-oriented work style
- Experience with QGIS or ArcGIS
- Background in Geography, GIS, or a related field
- Strong attention to detail and structured work approach
- Fluent English
- Experience working with Windows or Linux environments
- Familiarity with 3D environments (e.g., gaming engines or 3D tools)
- Experience with software QA or testing workflows
- Experience with issue reporting or bug tracking
- Experience working with aerial or satellite imagery
Ideally:
Why join us
- Work on cutting-edge geospatial AI technology used by leading Tier-1 customers across multiple industries
- Join an innovative startup where your work has real impact
- Help build global-scale digital environments used in real-world systems
- Work with talented, passionate colleagues from diverse backgrounds
- Friendly and collaborative environment
- Personalized benefits, including learning opportunities and wellbeing programs
The minimum remuneration for the position advertised above is 30.366,--€ gross per year (based on full time). Depending on your additional expertise and experience a higher salary is possible.
