Love data?
So do we.
We're a team of engineers and researchers from Google, Facebook, Harvard, and MIT. We're building the modern data labeling infrastructure needed to power the next wave of AI.
Our data labeling platform and workforce help AI companies around the world solve their machine learning and NLP problems — from detecting hate speech and categorizing user reviews, to training powerful language models.
Our human-AI algorithms and operational infrastructure give your data the loving care it deserves.
Founding Team
Decades of experience in AI, Trust & Safety, and Data at the world's largest tech companies
Andrew Mauboussin
Andrew oversees Surge AI's Engineering team — from building APIs that support real-time human computation, to internationalization efforts that enable data collection in 30+ languages, to new frontends for rich human/AI interaction. He previously led Twitter's Integrity ML and Counterintelligence efforts, and studied CS at Harvard.
Andrew Mauboussin
Engineering
Andrew oversees Surge AI's Engineering team — from building APIs that support real-time human computation, to internationalization efforts that enable data collection in 30+ languages, to new frontends for rich human/AI interaction. He previously led Twitter's Integrity ML and Counterintelligence efforts, and studied CS at Harvard.
Bradley Webb
Bradley runs Surge AI's Product and Growth teams. He previously led Integrity and Data Operations teams at Facebook, and graduated from Dartmouth.
.png)
Bradley Webb
Product
Bradley runs Surge AI's Product and Growth teams. He previously led Integrity and Data Operations teams at Facebook, and graduated from Dartmouth.
Jefferson Lee
Jefferson leads Surge AI's data labeling and content moderation products — whether it's helping customers evaluate large language models, moderate content, or train Spam and Hate Speech classifiers. He was previously an early engineer on Airbnb's Trust and Safety ML team, and studied computer science at Harvard.
Jefferson Lee
Software Engineer
Jefferson leads Surge AI's data labeling and content moderation products — whether it's helping customers evaluate large language models, moderate content, or train Spam and Hate Speech classifiers. He was previously an early engineer on Airbnb's Trust and Safety ML team, and studied computer science at Harvard.
Scott Heiner
Scott Heiner is a product manager at Surge AI, where he is focused on building high-quality human data pipelines. He leads Surge’s work with institutions focused on large language models and AI alignment. Before joining Surge, he led operations teams in the media industry.
Scott Heiner
Product
Scott Heiner is a product manager at Surge AI, where he is focused on building high-quality human data pipelines. He leads Surge’s work with institutions focused on large language models and AI alignment. Before joining Surge, he led operations teams in the media industry.
Jean Massad
Jean Massad
Design
David Tofu
David Tofu
Software Engineer
Cymen Vig
Cymen Vig
Software Engineer
+20k Surgers
+20k Surgers
Andrew Mauboussin
Andrew oversees Surge AI's Engineering team — from building APIs that support real-time human computation, to internationalization efforts that enable data collection in 30+ languages, to new frontends for rich human/AI interaction. He previously led Twitter's Integrity ML and Counterintelligence efforts, and studied CS at Harvard.
Bradley Webb
Bradley runs Surge AI's Product and Growth teams. He previously led Integrity and Data Operations teams at Facebook, and graduated from Dartmouth.
Jefferson Lee
Jefferson leads Surge AI's data labeling and content moderation products — whether it's helping customers evaluate large language models, moderate content, or train Spam and Hate Speech classifiers. He was previously an early engineer on Airbnb's Trust and Safety ML team, and studied computer science at Harvard.
Scott Heiner
Scott Heiner is a product manager at Surge AI, where he is focused on building high-quality human data pipelines. He leads Surge’s work with institutions focused on large language models and AI alignment. Before joining Surge, he led operations teams in the media industry.
Jean Massad
David Tofu
Cymen Vig
+20k Surgers
Surge with us!
Join our world-class team of engineers and research scientists working to advance AI.
Send your resume to careers@surgehq.ai. We love personal projects and blog posts too!
Frequently asked questions
If you can't find the answer to your question, contact us at support@surgehq.ai
Surge AI is the world’s best data labeling platform and workforce, providing the highest quality data to today's top tech companies and researchers. We're built from the ground up to tackle the extraordinary challenges of Natural Language Processing and other advanced labeling tasks — with an elite workforce, stunning quality, rich labeling tools, and modern APIs.
Data labeling is the process of annotating raw data in order to effectively train or evaluate machine learning models and artificial intelligence. Data labeling projects can range from simple (labeling the sentiment of text snippets) to complex (writing Python to train code-generation AI). Surge AI can handle it all, at scale.
It’s easy. For individuals: sign up for free, create a labeling project, and launch. Watch the results appear in real time!
For enterprise: book a call with us to discuss your labeling project. In most cases, we’ll launch a sample project for you same-day.
There are two components to the Surge AI platform — our labeling tools and the Surger workforce.
Individuals use our labeling tool for free and set their own pricing when using the Surger workforce (we typically recommend 30-40 cents per minute). Please reach out if you’d like further pricing guidance.
For enterprise, we price projects on a per task basis. Book an intro call to learn more.
For more info, visit our pricing page.
Amazon, Google, Twitter, Cohere, Stanford, University of Cambridge, Substack, Twitch, Emory, Redwood Research and Primer, to name a few!