
51 - 200 employees
Founded 2020
π€ Artificial Intelligence
π API
βοΈ SaaS
π° $25M Series A on 2020-07
Artificial Intelligence β’ API β’ 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.
π₯ 8 minutes ago
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51 - 200 employees
Founded 2020
π€ Artificial Intelligence
π API
βοΈ SaaS
π° $25M Series A on 2020-07
Artificial Intelligence β’ API β’ 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.
β’ Manage the end-to-end data operations process, ensuring data is collected, processed, and delivered efficiently and accurately. β’ Collaborate with product and engineering teams to refine data pipelines and improve data flow across systems. β’ Establish and monitor key data quality metrics, ensuring the consistency and reliability of data used for training AI models. β’ Identify operational inefficiencies in data workflows and implement solutions to improve speed and quality. β’ Provide actionable insights from data analysis, supporting teams in decision-making and product development.
β’ Strong technical skills, with experience in managing data pipelines and ensuring data quality (experience with SQL, Python, or similar tools preferred). β’ Excellent problem-solving skills and a data-driven approach to improving processes and systems. β’ Strong collaboration skills with the ability to work cross-functionally and communicate complex data issues to non-technical stakeholders. β’ Interest in AI/ML systems is a plus, but not required.
β’ Health insurance β’ 401(k) plan β’ Flexible work arrangements β’ Professional development opportunities β’ Equipment allowances
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