
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.
🔥 11 minutes ago
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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.
• Manage the end-to-end data operations process, ensuring data is collected, processed, and delivered efficiently and accurately. • Collaborate with product and engineering teams to refine data pipelines and improve data flow across systems. • Establish and monitor key data quality metrics, ensuring the consistency and reliability of data used for training AI models. • Identify operational inefficiencies in data workflows and implement solutions to improve speed and quality. • Provide actionable insights from data analysis, supporting teams in decision-making and product development.
• Strong technical skills, with experience in managing data pipelines and ensuring data quality (experience with SQL, Python, or similar tools preferred). • Excellent problem-solving skills and a data-driven approach to improving processes and systems. • Strong collaboration skills with the ability to work cross-functionally and communicate complex data issues to non-technical stakeholders. • Interest in AI/ML systems is a plus, but not required.
• Health insurance • 401(k) plan • Flexible work arrangements • Professional development opportunities • Equipment allowances
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