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Teton is seeking a data annotator to help label visual data for AI systems. This remote role requires reviewing images to determine presence of people and the actions they perform, applying predefined labels, and upholding strict accuracy standards across a dataset intended to train real-time AI models.
Ideal candidates will reside in Poland, demonstrate keen attention to detail, and work independently to meet deadlines in a flexible, remote setup.
Teton is building the foundational data layer for the point of care, using real-time, multimodal AI to generate a digital twin of the patient and care environment. Our product alleviates administrative inefficiencies and observational tasks that overburden healthcare professionals, enabling them to provide better patient care.
Location: Poland
Employment Type: Full-time
Work Arrangement: Remote
Teton is building the foundational data layer for the point of care, using real-time, multimodal AI to generate a digital twin of the patient and care environment. Our product alleviates administrative inefficiencies and observational tasks that overburden healthcare professionals, enabling them to provide better patient care.
Through a combination of in-room hardware, AI, and desktop and mobile applications, Teton helps create a seamless healthcare experience for both patients and providers. Our solution provides unprecedented access to real-time data insights, creating a digital twin of patient states and care delivery that empowers healthcare providers with actionable intelligence for optimal decision-making.
We are looking for a data annotator to help us label visual data used to improve our AI systems.
Your primary responsibility will be reviewing images and identifying what is happening in them based on clear annotation guidelines.