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Manage vendor partnerships for Physical AI data collection programs, including sensor-tagged and egocentric datasets. Act as the operational bridge between internal data science teams and external vendors to ensure quality and delivery timelines.
About Centific
Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.
Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.
About Job
Manage vendor partnerships supporting Physical AI data collection programmes — including egocentric (first-person POV) capture, sensor-tagged spatial data, and on-the-ground activity datasets.
Understand OTS (off-the-shelf) data requirements and work with vendors to assess fitness-for-purpose, licensing constraints, and data provenance.
Coordinate multi-site or multi-country data collection engagements, ensuring quality, coverage, and demographic representation requirements are met.
Serve as the operational bridge between internal data science/product teams and external vendor partners on collection protocols, tooling requirements, and delivery timelines.
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