Surge

Our mission at Surge is to build the human infrastructure for the next AI revolution. Recent advances in NLP have produced powerful new models capable of understanding the subtleties of language, which need larger and more complex datasets to learn. Our first product is a platform that allows ML teams to tap into our highly skilled annotation workforce to create new datasets at much higher quality and much more quickly than other solutions. We’re a team of former Google, Facebook, and Twitter engineering leads, and we work with top companies at the forefront of machine learning. Our tech stack is Ruby on Rails, React, and Python. We’re rapidly growing, and we’re looking for full-stack and front-end engineers to join the team and help develop our product. Some examples of the problems we are solving: - The datasets we work with come in a variety of shapes and sizes. What’s the best way to help our users assess the quality of their data, understand edge cases, and iterate on their machine learning work? - Labeling for subjective tasks like hate speech typically involves a lot of nuance, and annotators are often expected to read and retain long documents to understand the guidelines. How can we build a product to communicate the same information to annotators in a more interactive way? - What tooling will empower our workforce to label text, speech, images, and audio in the most efficient way possible? How can we extend our tools to incorporate machine learning to automate simpler work and help annotators focus on the most difficult decisions? To apply, please email team@surgehq.ai with 2-3 sentences describing your interest in Surge and mention HN in the subject line.