Data Annotator
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Job Description
Data Annotator responsible for data annotation and quality control processes in e-commerce AI company. Collaborating with data science and engineering teams to improve annotation methodologies.
Responsibilities:
- Annotate and label various types of data (e.g., text, images) according to specified guidelines and requirements.
- Ensure high-quality annotations and data labeling that meet accuracy and consistency standards through rigorous Quality Control processes.
- Develop and implement Quality Control measures and procedures for annotated data.
- Collaborate with the data science and engineering teams to understand annotation requirements and contribute to the improvement of annotation processes.
- Work efficiently to meet deadlines while maintaining the quality and accuracy of annotated data.
- Report issues or inconsistencies in the data and suggest improvements in annotation guidelines or tools.
- Maintain proper documentation and records of annotated data and processes.
Requirements:
- Proven experience in data annotation, preferably in a QC-focused role.
- Strong attention to detail and ability to maintain accuracy in annotation tasks.
- Familiarity with annotation tools and software.
- Excellent understanding of annotation guidelines and specifications.
- Ability to communicate effectively and provide clear feedback to annotation teams.
- Strong organizational skills and the ability to manage time effectively to meet QC deadlines.
- Analytical mindset and problem-solving skills to identify and address QC issues effectively.
- Having good hands-on experience in SQL and Python is a plus.
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