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.

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.

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

Ideally:

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

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

Data Labeler / Quality Assurance - GIS (20h)

What You’ll Do

Your Profile

Why join us