- key responsibilities:
1. annotate data accurately: ensure precise labeling of data according to specific guidelines to help improve machine learning models and algorithms.
2. maintain data quality: review and verify annotated data to guarantee high accuracy and consistency in the labeled information.
3. collaborate with team members: communicate effectively with colleagues to align on data labeling tasks and meet project deadlines.
4. follow project guidelines: adhere to project instructions and specifications to ensure the quality and relevancy of the annotated data.
5. provide feedback: offer insights and suggestions for improving data annotation processes and tools for enhanced efficiency.
- required skills and expectations:
1. strong attention to detail: ability to focus on small details and accurately annotate data according to guidelines.
2. good communication skills: capable of collaborating with team members and providing feedback effectively.
3. basic computer skills: proficiency in using computer applications and tools for data annotation tasks.
4. ability to follow instructions: willingness to adhere to project guidelines and follow specific instructions for data annotation.
5. self-motivated: demonstrates initiative and proactiveness in completing data annotation tasks efficiently.