Supervisor
The CVAT Task involves annotating objects in videos or images for AI model training. Supervisors are responsible for overseeing the quality and efficiency of the annotation process, validating completed jobs, and addressing issues that arise.
Below are the detailed responsibilities:
Performance Tracking and Efficiency
Monitor Executive Performance:
Regularly track the progress of executives, ensuring they complete their assigned annotations within the expected timeframe.
Efficiency Optimization:
Provide feedback and guidance to employees struggling with annotation speed or accuracy.
Ensure executives use shortcuts and tools effectively to improve productivity.
Issue Escalation
Error Management:
Ensure that any errors identified during the annotation process are immediately brought to the supervisor’s attention.
Determine whether the issue requires escalation to technical teams or upper management and initiate the escalation process when necessary using Google chat channels.
Validation and Quality Control
Validation Section:
Personally carry out the validation section of CVAT jobs to confirm that all labelling is accurate.
Ensure the correct color coding is applied for different labels such as cars, people, items, etc., as per the project’s requirements.
Long Exposure Objects:
Confirm that long exposure objects are labelled appropriately.
If objects are blurred beyond recognition, validate the decision to ignore them and document this in the task notes for transparency.
Reporting and Documentation
Maintain a detailed log of completed validation tasks, noting the quality of annotations and any recurring issues.
Report progress and errors to upper management through weekly summaries, highlighting key areas of improvement and training needs.
Key Deliverables
Accurate validation of all annotations, with proper labelling and color coding.
Efficient task completion and minimized delays in annotation workflows.
Proactive error resolution and escalations to ensure smooth task execution.
By ensuring thorough validation, efficient workflows, and effective issue management, the supervisor guarantees high-quality outputs for CVAT tasks, critical for AI model training.
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