AI Data Annotator Polish

We are seeking a detail-oriented and meticulous AI Data Annotator to join our team for a multilingual project. In this role, you will play a crucial part in the development of next-generation AI by accurately annotating voice and text conversations. Your work will directly improve the performance and quality of machine learning models.

• Text Annotation
  :
  Accurately label text conversations according to project guidelines. This includes identifying and categorizing specific entities, sentiment, and intent within the text
• Voice Annotation
  :
  Listen to audio recordings and perform precise data annotation, which may include transcribing speech, identifying speaker changes, and labeling different parts of the conversation
• Apply clear and consistent labels to both text and voice data, ensuring high-quality output
• Follow project-specific instructions and guidelines diligently to meet quality standards
• Work independently and manage your time effectively to meet project deadlines

• Fluent in Polish and English with excellent comprehension and grammar skills in both languages
• Strong attention to detail and ability to maintain accuracy over repetitive tasks
• Comfortable working with digital tools and platforms for data annotation
• Excellent time management and organizational skills
• Prior experience in data labeling, annotation, or transcription is a plus

If you are passionate about contributing to the future of AI and have strong linguistic skills, we encourage you to apply!

To apply, please submit your CV and complete the application form here. As part of our screening, shortlisted candidates will complete a test to demonstrate their data labeling experience. Successful candidates will join our Task Verse community and gain access to additional opportunities in the AI space.

As an AI Data Annotator, your work may include exposure to sensitive or potentially challenging content within both text and voice data. It is essential that you are comfortable handling such material professionally and objectively, as this work is critical for building safer and more ethical AI systems.