Who we are


Celantur is a Linz-based Privacy Tech & Computer Vision Startup that develops anonymization solutions for images & videos.


Our mission is to help companies that collect massive volumes of image & video data to protect individuals’ privacy. Our solutions are used by SMEs, large enterprises and municipalities active in reality capture, construction and automotive, for example Daimler Truck, STRABAG, DPDgroup and the City of Detroit.


We are an engineering-driven team, passionate about building world-class technology to protect people’s privacy.


Engineering at Celantur


Annotate images with precision and consistency based on provided guidelines.


Understand project requirements and provide valuable insights.


Gain an advanced understanding of use cases and how to translate them into training data.


Perform quality checks to ensure the accuracy of annotations and maintain high data integrity.


Assist in continuously improving the annotation process and tools used for the task.


Your role


Strong attention to detail and the ability to maintain accuracy even in repetitive tasks.


Familiarity with image annotation tools (Label Studio) and related software would be an advantage.


Make judgment calls on difficult edge cases that might come up during labelling and annotation.


High degree of confidentiality, as you’ll be working with sensible data.


Basic understanding of computer vision and machine learning concepts is a plus.


University or technical college students are preferred.


Proficiency in Python is a huge plus.


Excellent communication and collaboration skills to work effectively in a team environment.


Interest in data protection regulations and privacy issues, ensuring the security and confidentiality of our data.


Strong interest in industry use cases, such as automotive and construction, is a bonus, but not a strict requirement.


What we offer


You’ll work with cutting-edge hardware and software. We’ve set up a customized data annotation system, with Label Studio facilitating Meta’s Segment Anything Model (SAM) and internal models to semi-automate and speed up the annotation process.


Purpose and impact: Your contributions improve software that helps protect the privacy of individuals on hundreds of millions of images and videos on four continents.


As part of our RnD team, you’ll gain a lot of insights into how ML products are being built and put into production on a global scale.


A collaborative and inclusive work environment that fosters growth and learning.


An office at Tabakfabrik Linz - one of the hearts of Austria’s start-up scene - with a diverse set of great places for lunch and leisure (e.g. Donaulände)


**🚀 One-Click Application -**
We'll get back to you shortly


I've read the privacy statement and accept to be contacted by Celantur.