
51 - 200 employees
Founded 2020
🤖 Artificial Intelligence
🔌 API
☁️ SaaS
💰 $25M Series A on 2020-07
Artificial Intelligence • API • SaaS
Surge AI is a company that provides high-quality training data and data-labeling solutions for machine learning teams. It offers an API-driven, SaaS platform that combines human-in-the-loop annotation, quality control, and tooling for collecting, validating, and managing datasets to accelerate model development and improve model performance.
🕒 July 28
Where this job comes from
Posted on Surge AI's careers page, not through a job board
First seen by Remote Rocketship July 28
Still open on Surge AI's site. Checked 1 hour ago.

51 - 200 employees
Founded 2020
🤖 Artificial Intelligence
🔌 API
☁️ SaaS
💰 $25M Series A on 2020-07
Artificial Intelligence • API • SaaS
Surge AI is a company that provides high-quality training data and data-labeling solutions for machine learning teams. It offers an API-driven, SaaS platform that combines human-in-the-loop annotation, quality control, and tooling for collecting, validating, and managing datasets to accelerate model development and improve model performance.
• Research data collection strategies and designing high-impact data slices that uncover model failure modes • Model annotator behavior and designing experiments to optimize instruction clarity and reward signal reliability • Develop metrics and frameworks for evaluating dataset quality, diversity, and impact on downstream model alignment
• Deep Curiosity About Data – Obsession with understanding how the structure, quality, and selection of data influence LLM performance • Bias Toward Insight and Iteration – You think critically but move fast, designing lightweight experiments to generate actionable results • Desire to Shape AI Development – Drive to build the foundational data layer that defines how the next generation of AI systems behave
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