Key Responsibilities:
- Labeling data according to specific guidelines: The data annotator will be responsible for labeling data accurately and consistently based on provided guidelines.
- Ensuring data quality and accuracy: It is crucial for the data annotator to pay close attention to detail to maintain the quality and accuracy of the labeled data.
- Meeting deadlines for data annotation tasks: The candidate must be able to work efficiently to meet project deadlines and deliver annotated data in a timely manner.
Required Skills and Expectations:
- Good attention to detail: The candidate must have a keen eye for detail to accurately annotate data according to guidelines.
- Basic computer skills: Proficiency in using computer applications and software is essential for data annotation tasks.
- Strong work ethic: The candidate should be motivated and responsible, able to work independently and meet project deadlines.
- Quick learner: The ability to quickly understand and apply annotation guidelines is important for efficient data labeling.
- Strong communication skills: Clear communication with team members and supervisors is key to ensuring successful completion of data annotation tasks.