Surge powers AI leaders like OpenAI, Anthropic, Meta, and Google with high-quality human feedback data for model training and evaluation. Founded by former ML engineers, we focus on data quality with a US-based workforce, custom annotation tools, and rigorous quality control. Our platform has been a “game-changer” for ML teams, enabling us to run profitably from day one without VC funding.
Join a fast-growing team of former engineering leaders from Google, Meta, Twitter, and Airbnb. Our stack includes Python, Ruby on Rails, and React, supporting AI training data workflows with modern processing and storage solutions.
As a Data Engineer, you'll design and maintain the infrastructure that powers our AI data workflows and business analytics. You'll work closely with ML engineers, product teams, and operations to improve data processing, ensure integrity, and optimize efficiency. Our data systems are streamlined and focused rather than large-scale distributed systems, giving you direct ownership and visibility into the complete pipeline. This environment allows you to make meaningful improvements with immediate impact and gain valuable end-to-end experience across our entire data infrastructure. Our stack includes Snowflake, connectors like Fivetran, Airflow, Postgres, AWS, Python, and Ruby on Rails.