Required Clinical Data Labeling – Maternity leave replacement
Join Our Mission
We are dedicated to creating a world where every older adult receives the care they truly deserve. Guided by compassion and driven by innovation, we aim to redefine the future of caregiving. If youre passionate about making a meaningful impact, join us in advancing our virtual assessment tool. This cutting-edge technology monitors seniors' health in their homes 24/7, delivering emergency alerts, actionable insights, and predictive analysis to enable proactive and effective care.
Here, youll discover exciting opportunities for professional growth, make a direct and meaningful impact on our products and company, and contribute to a mission that truly matters.
About The Role
The Clinical Data Labeler contributes significantly to the training of our AI models, which aim to enhance the quality of life for senior citizens. This position involves meticulously tagging and classifying textual data based on clinical and technical criteria to ensure high-quality AI training datasets.
Key Responsibilities:
Review and analyze textual data, including speech and other relevant sounds.
Accurately tag and classify textual data using clinical and technical criteria.
Collaborate with the AI team to refine and improve labeling guidelines.
Communicate regularly with the team to report challenges, suggest improvements, and ensure consistent data labeling.
Maintain a high level of attention to detail to ensure quality and accuracy in data labeling.
Join Our Mission
We are dedicated to creating a world where every older adult receives the care they truly deserve. Guided by compassion and driven by innovation, we aim to redefine the future of caregiving. If youre passionate about making a meaningful impact, join us in advancing our virtual assessment tool. This cutting-edge technology monitors seniors' health in their homes 24/7, delivering emergency alerts, actionable insights, and predictive analysis to enable proactive and effective care.
Here, youll discover exciting opportunities for professional growth, make a direct and meaningful impact on our products and company, and contribute to a mission that truly matters.
About The Role
The Clinical Data Labeler contributes significantly to the training of our AI models, which aim to enhance the quality of life for senior citizens. This position involves meticulously tagging and classifying textual data based on clinical and technical criteria to ensure high-quality AI training datasets.
Key Responsibilities:
Review and analyze textual data, including speech and other relevant sounds.
Accurately tag and classify textual data using clinical and technical criteria.
Collaborate with the AI team to refine and improve labeling guidelines.
Communicate regularly with the team to report challenges, suggest improvements, and ensure consistent data labeling.
Maintain a high level of attention to detail to ensure quality and accuracy in data labeling.
Requirements:
Language Proficiency: You are fluent in English at a native or near-native level, with strong written and verbal communication skills. Spanish proficiency is an advantage.
Goal-Oriented & Detail-Focused: You are highly motivated, able to meet deadlines, and work efficiently while maintaining accuracy and attention to detail.
Digital Literacy: You are comfortable working with digital tools and AI-driven platforms, adapting quickly to new technologies and workflows.
Team Player & Collaborative Mindset: You work well in a team-oriented environment, contributing to shared goals while maintaining clear and open communication.
Customer-Centric Approach: You are dedicated to customer success, ensuring high-quality outputs that align with the companys mission and values.
Language Proficiency: You are fluent in English at a native or near-native level, with strong written and verbal communication skills. Spanish proficiency is an advantage.
Goal-Oriented & Detail-Focused: You are highly motivated, able to meet deadlines, and work efficiently while maintaining accuracy and attention to detail.
Digital Literacy: You are comfortable working with digital tools and AI-driven platforms, adapting quickly to new technologies and workflows.
Team Player & Collaborative Mindset: You work well in a team-oriented environment, contributing to shared goals while maintaining clear and open communication.
Customer-Centric Approach: You are dedicated to customer success, ensuring high-quality outputs that align with the companys mission and values.
This position is open to all candidates.
