JOB DETAILS

Data Labeler

CompanySensi.AI
LocationTel-Aviv
Work ModeOn Site
PostedMay 31, 2026
About The Company
Sensi.AI is the most trusted 24/7 Care Copilot, using audio technology with the highest level of precision. Sensi’s care intelligence technology drives significant growth and efficiency for home care businesses by providing a 360-degree understanding of a senior’s physical, emotional, and cognitive needs.
About the Role

Join Our Mission at Sensi.AI

At Sensi.AI, 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 you’re passionate about making a meaningful impact, join us in advancing Sensi.AI’s 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, you’ll 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 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 company’s mission and values.


Key Skills
Data LabelingText ClassificationEnglish ProficiencySpanish ProficiencyDigital LiteracyAttention To DetailCollaborationClinical Data Analysis
Categories
Data & AnalyticsTechnologyHealthcareSoftware
Job Information
📋Core Responsibilities
The Data Labeler is responsible for tagging and classifying textual and audio data based on clinical and technical criteria to train AI models. They collaborate with the AI team to refine labeling guidelines and ensure high-quality datasets for senior care technology.
📋Job Type
full time
📊Experience Level
0-2
💼Company Size
143
📊Visa Sponsorship
No
💼Language
English
🏢Working Hours
40 hours
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