Imagine the What. Build the How.
Scandit gives people superpowers. Whether enabling delivery drivers to make quicker deliveries, matching a patient with their medication or allowing retailers to make store operations more efficient, our technology automates workflows and provides actionable insights to help businesses in a variety of industries. Join us, as we continue to expand, grow and innovate, and help take Scandit to the next level.
Scandit uses the latest machine learning and computer vision technology to build products allowing everyone to capture data easily with the smartphone. Image annotation is the process of labelling individual elements of training data (i.e. image or video) to help machines understand what exactly is in it and what is important.
We seek individuals with an interest in computer science and machine learning that possess a keen eye for detail. As an Image Annotator you will support the Data, Product and Engineering Teams in improving the accuracy and quality of our deep learning models to achieve excellent performance of Scandit products by using data annotation tools to accurately annotate and label data.
What You Will Do
Who We Look For
What We Offer
Who We Are
Scandit enables enterprises and consumers to change the way they interact with everyday objects and augment the physical world with real-time data captured by scanning barcodes and recognizing text, objects, and other visual identifiers using smartphones, tablets, wearables, drones and robots.
Scandit’s mobile data capture platform is built on proprietary computer vision, augmented reality, and machine learning technologies. Companies in industries such as retail, transportation & logistics, manufacturing, and healthcare can use Scandit’s technology to create and power mobile apps for crucial enterprise workflows like mobile point of sale, mobile shopping, self-checkout, inventory management, and proof of delivery.
Many of the world's most innovative and successful companies are benefiting from Scandit’s enterprise-grade mobile data capture platform, including Sephora, DHL, and Levi Strauss & Co.