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The data annotator will review visual data to identify and label human actions based on established guidelines. This role ensures the accuracy and consistency of datasets used to train AI systems.
Location: European Union
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.
Review images and determine whether people are present.
Identify and label the actions people are performing.
Apply predefined labels and categories consistently.
Follow annotation guidelines and quality standards.
Review your work for accuracy and completeness.
Help maintain a consistent and high-quality dataset for our AI models.
Must be an EU citizen and currently living within the European Union.
Strong attention to detail.
Ability to follow written instructions consistently.
Comfortable working independently.
Reliable and able to complete assigned work on time.
Previous experience with data annotation, content moderation, image labeling, or similar work.
Experience working with AI or machine learning datasets.
Familiarity with visual data or image-based tasks.
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