Space-Eye nutzt für das Monitoring Satelliten- und Drohnenbilder, um Flüchtlingsboote aufzuspüren und eine sicherere und effizientere Rettung zu ermöglichen.

Dazu arbeitet Space-Eye mit RGB+IR-Daten von privaten Anbietern, z.B. Planet.com, um daraus einen Schiff/kein Schiff-Datensatz zu generieren. Dies geschieht, indem der Datensatz mit historischen AIS-Daten (Positionsdaten von Schiffen) aus Küstenregionen abgeglichen wird.

Außerdem arbeitet Space-Eye mit der Initiative „Searchwing“ aus Augsburg zusammen, um die Entwicklung einer SAR-Drohne zu unterstützen.

Space-Eye nutzt dieses Monitoringsystem nicht nur für die Beobachtung und für das Initialisieren einer Rettung, sondern auch für die Analyse historischer Daten.

Die Satelliten-Erkundung von Space-Eye (hier als pdf downloaden)

Space-Eye is working on web tools to find boats in need of rescue at sea. The back end component is based on the Django framework, the front end is a React-based web app. The source code is Open Source in currently non-public repositories. All developers contribute to the project as volunteers in their spare time.

(Full Stack/DevOps) Web Developer

• Python (Django) back end
• JavaScript (React) GUI development
• Issues and Code are managed in Gitlab
• We work in a small mixed team with experts in machine learning, data science, geoinformatics, web developers, and Linux admins
• Weeklies are every Thursday at 18:30 CE(S)T. Frequent attendance is expected.

Application by email

Space-Eye is working on web tools to find boats in need of rescue at sea. We have established the first visual satellite datasets to train models to detect migrant boats at sea and work. Other research directions include radar-based satellite data and drift detection and forecasting. We not only work to improve our models, but also productionalize our models to provide the results. If you’re interested in bringing your data science and machine learning engineering skills along the full pipeline to our project you’d be a great help.

Data Scientist/ Machine Learning Engineer:

• Python development
• Creation of purpose built data sets and preprocessing pipelines
• Training and evaluation of AI models
• Productionalizing and Serving of the models (TF Serve / API based)
• Frequent attendance in weekly meetings Thursday at 18:30 CE(S)T

Application by email

Volunteer Position – Satellite Image Reviewing

Who we are

We are Space-Eye e.V., a non‑profit organization that uses satellite imagery to locate boats in distress and support Civil Search and Rescue operations in the Mediterranean Sea. An artificial‑intelligence system pre‑processes the images and flags possible “finds”. Human validation is essential to ensure accuracy and to launch timely rescue missions. We need volunteers for reviewing satellite images for our next test phase in March 2026.

What you’ll do

• Remotely review automatically detected boats on satellite images that arrive each afternoon in a team of 2 to 4 persons, including at least one senior reviewer.
• Confirm real boats, reject false alarms, and provide brief notes where needed.
• Follow a fixed shift schedule to guarantee coverage throughout the afternoon‑evening window.
• Communicate exclusively in English with the operations team, other volunteers, and the AI development crew.
• Use our comprehensive handbook – suggest improvements, report bugs, and help refine the workflow.

Who we’re looking for

• Ability to cover your assigned shifts.
• Comfortable using a computer, web browsers, and simple annotation software.
• Fluent English (written and spoken).
• Attend an onboarding training and help out in at least 2 shifts (afternoon & early evening) in March and April 2026.

What you need

• A computer with a large monitor, headset and mouse.
• A fast and reliable internet connection is required.
• A quiet workspace where you can attend video conferences.

Training & Onboarding

• Onboarding trainings will be held on 21st and 29th March between 13:00 and 17:00 to introduce the platform, review the handbook, and answer questions.
• Ongoing support is provided via a dedicated chat channel and Signal groups.

How to apply

1. Send a brief email with a few sentences about yourself to kontakt@space-eye.org with the subject line Satellite Image Reviewing.
2. Include your typical availability for afternoon shifts (e.g., „Mondays and Fridays“).

Netzpolitik.org

https://netzpolitik.org/2022/space-eye-satellitenueberwachung-von-unten

Die Tageszeitung (taz)

https://taz.de/Seenotrettung-per-Satellit/!5824547/