Label Your Data

Label Your Data is a global data annotation company supporting AI teams with high-quality, secure, and scalable annotation services for Computer Visi...

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Open Positions3

KyivKyiv cityUkraine. Lviv+10 more locationsFull-TimeAI data servicesPosted
  • Simultaneously work with clients from a diverse list of industries
  • Act as the primary point of contact for assigned clients
  • Manage annotation teams to guarantee smooth execution and timely delivery of projects
  • Monitor team discipline and ensure corporate culture within the team
  • Keep track of key metrics to measure the success of the client’s request and the team
  • Proactively mediate and resolve any clients' and annotators' concerns
  • Train annotation teams and supervisors
Project ManagementNegotiationAccount Management+1 more
Showing 1 of 3 positions

About Label Your Data

Label Your Data is a global data annotation company supporting AI teams with high-quality, secure, and scalable annotation services for Computer Vision and NLP. We’ve built a strong and diverse team of annotation specialists across Europe, LATAM, and Africa , and we’re proud to maintain a 98%+ annotation accuracy benchmark across more than 20 industries , including Automotive, Robotics, Healthcare, E-commerce, Agriculture, Retail, Fintech , and more. Our company supports 55+ languages , and we are fully GDPR, HIPAA, and CCPA-compliant , with ISO/IEC 27001:2013 and PCI/DSS certifications — ensuring the highest standards of data security and confidentiality . With team hubs in North America, the EU, and Asia , we’re growing fast — and we’re always looking for proactive, curious, and detail-oriented people to grow with us. Our services include: Image & video annotation (2D boxes, polygons, semantic segmentation, 3D cuboids, OCR, and more) Text annotation (classification, named entity recognition, sentiment analysis, prompts creation, and more) Audio annotation (transcription, emotion/sentiment recognition) Sensor data annotation Data classification & categorization Data entry and collection Model validation and QA

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