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Job details
We are building Protege to solve the biggest unmet need in AI — getting access to the right training data.
The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data.
We're a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact.
Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI.
Requirements
Design and apply statistical and machine learning methods to curate, filter, and enrich large-scale unstructured datasetsDevelop frameworks to assess data diversity, duplication, and informativenessCollaborate with model training teams to identify data bottlenecks and optimize dataset performanceProvide leadership on data quality strategy and shape internal best practicesEvaluate external datasets for integration, focusing on scalability, quality, and relevance to model performanceContribute to research and development of tools that automate data preprocessing and validation.
The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data.
We're a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact.
Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI.
Requirements
Design and apply statistical and machine learning methods to curate, filter, and enrich large-scale unstructured datasetsDevelop frameworks to assess data diversity, duplication, and informativenessCollaborate with model training teams to identify data bottlenecks and optimize dataset performanceProvide leadership on data quality strategy and shape internal best practicesEvaluate external datasets for integration, focusing on scalability, quality, and relevance to model performanceContribute to research and development of tools that automate data preprocessing and validation.
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Protege United States
