Key Responsibilities:
– **Data Labeling**: You will review various types of data, including images, texts, and videos, and apply correct labels to them. This helps create a training set for machine learning algorithms.
– **Quality Check**: You are responsible for checking the accuracy of your annotations. Ensuring quality will help improve the performance of AI systems.
– **Feedback Implementation**: You will receive feedback from supervisors and need to apply this feedback to enhance your annotation work.
– **Reporting Progress**: You will be required to maintain logs of your daily work and submit regular reports, ensuring transparency in your productivity.
Required Skills and Expectations:
– **Attention to Detail**: A keen eye for detail is essential, as accuracy in data labeling directly impacts the quality of the final product.
– **Basic Computer Skills**: Familiarity with computer systems and the ability to use annotation tools is necessary. You should be comfortable navigating online platforms.
– **Time Management**: You should be able to manage your time effectively to meet deadlines while maintaining quality in your work.
– **Willingness to Learn**: A positive attitude and readiness to accept feedback are crucial for continuous improvement in this role.
Experience
Fresher
No. of Openings
665
Education
10th Pass
Role
Data Annotator
Industry Type
Call Centre / BPO / KPO / ITES / LPO
Gender
[ Male / Female ]
Job Country
India
Type of Job
Part Time (Night Shift)
Work Location Type
Work from Home
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