Data Annotation Specialist
1 week ago
We are a leading AI-based contactless Remote Patient Monitoring (RPM) and Early Warning System (EWS) provider, continuously monitoring patients and providing early warnings of clinical deterioration. Our vision is to save lives with AI-based early warning systems, developing intelligent technologies, solutions, and networks to provide a continuum of care.
Job SummaryWe are seeking a highly motivated and detail-oriented Data Annotation Specialist to join our team. As a key member of our Data Science team, you will play a crucial part in supporting the development and training of our machine learning models by accurately labeling and categorizing data.
Responsibilities- Review and meticulously tag various data formats (time series, text, images, etc.) according to established guidelines.
- Ensure data quality by maintaining high levels of accuracy and consistency in labeling.
- Collaborate with the Data Science team to understand tagging requirements and address any questions or ambiguities.
- Participate in the development and refinement of data labeling protocols.
- Strong attention to detail and a commitment to accuracy.
- Ability to follow instructions and adhere to established labeling guidelines.
- Excellent organizational skills and the ability to manage multiple tasks efficiently.
- Excellent communication and collaboration skills.
- Prior experience with data labeling or data entry is preferred.
- Basic experience working with python scripts is preferred.
- Familiarity with basic computer science concepts and machine learning fundamentals is a plus.
We offer a competitive salary of $80,000 - $110,000 per annum, depending on experience, and a comprehensive benefits package.
About UsDozee is an equal opportunity employer, committed to creating an inclusive environment for all employees. We celebrate diversity and do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.
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