Scale

We label data for your favorite computer vision teams. Our mission is to accelerate the development of AI applications - we believe building a high quality labelled dataset is the biggest bottleneck to deploying supervised deep learning systems, so that's what we're tackling first. We've had phenomenal breakout revenue, raised an $18 MM series B, and are looking to grow our team of 55. We're looking for engineers to work on projects ranging from making labelling more efficient via front-end work/ML work to launching new product lines demanded by our existing customer base.