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Surge AI

Delivers high-quality AI training data

Data Scientist

Data ScienceConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listedRemote

About the Job

Requirements

  • Interest in how AI models are developed and how high-quality data contributes to their capabilities.
  • Ability to turn open-ended questions into concrete analytical approaches, weigh tradeoffs, and identify worthwhile work.
  • Ability to collaborate with operations, engineering, and other teams to understand problems, communicate findings, and turn insights into usable changes.
  • Proficiency in SQL and Python for data analysis, building pipelines, and prototyping workflows.

Responsibilities

  • Investigate questions related to fraud, growth, or customer data quality and performance.
  • Develop metrics, analyses, and dashboards to help teams understand trends and prioritize action.
  • Build tools and automated workflows to help teams detect issues, identify opportunities, and act at scale.
  • Partner with internal teams to uncover patterns, develop metrics, design experiments, and build tools that turn analysis into action.

About the Company

Surge AI

Delivers high-quality AI training data

Surge AI provides high-quality training and evaluation data for AI models. It creates human-annotated datasets, preference data, and reinforcement learning from human feedback (RLHF) to help developers of large language models and other machine learning systems improve accuracy, alignment, and real-world performance, especially for advanced generative AI tasks. The company targets the high end of the data labeling market by prioritizing quality, scalability, and the ability to handle complex, model-critical labeling rather than simple commodity annotations. Its goal is to support better-performing, safer, and more reliable AI systems by delivering data that directly feeds model training and evaluation.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
San Francisco, CA
Founded
2020

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