AI Data Annotators

Full Description

Key Responsibilities

• Annotate images and video content using object detection techniques (e.g., bounding boxes, segmentation).

• Identify and extract relevant frames from long-form video recordings (e.g., 1-hour videos).

• Label video actions and activities based on predefined categories.

• Review and validate annotations produced by the team to ensure consistency and accuracy.

Scope of Work

•Data Annotation:

• Annotate approximately 1 million images across 23 use cases.

• Draw accurate bounding boxes and assign correct class labels to each object.

• Maintain consistency and high standards in labeling.

• Target: 1000 annotated images per day per annotator.

• Quality Assurance:

• Conduct self-reviews before submission.

• Revise any flagged or substandard annotations.

• Data Management:

• Track progress using project management and data labeling platforms.

• Log any issues or ambiguities encountered during annotation tasks.

Required Skills and Qualifications

• Proven experience in image and video annotation for object detection and action recognition.

• Ability to work independently, manage time efficiently, and meet tight deadlines.

• Basic understanding of computer vision concepts is advantageous.

• Familiarity with standard annotation tools such as CVAT, Labelbox, and Roboflow.