Video Annotation Specialist

Job Description

The Video Annotation Specialist is responsible for analysing video footage and identifying, labelling, and tracking relevant objects, activities, movements, and events across individual frames and continuous video sequences. The position supports AI applications involving video intelligence, autonomous systems, surveillance analytics, human activity recognition, traffic monitoring, and advanced computer vision technologies.

The specialist will examine video content frame by frame, identify important visual elements, and apply appropriate annotations to ensure that AI models can accurately understand movement, interactions, and changes occurring over time. The role requires strong observational abilities, patience, consistency, and experience working with specialised video annotation tools.

Key Responsibilities:

Review video recordings and identify relevant objects and activities.
Annotate video frames with appropriate labels and classifications.
Track moving objects across multiple frames.
Identify changes in object positions, movements, and interactions.
Apply bounding boxes and segmentation annotations to video content.
Record timestamps for specific events and activities.
Identify and classify human actions, vehicle movements, and environmental changes.
Maintain consistency between consecutive video frames.
Review annotated footage to identify missing or inaccurate labels.
Collaborate with AI engineers to meet project-specific video annotation requirements.
Qualifications and Requirements:

Bachelor’s degree in Computer Science, Multimedia Technology, Data Science, or a related field is preferred.
Previous experience in video annotation or visual data processing.
Familiarity with CVAT, Labelbox, or comparable annotation platforms.
Strong visual observation and analytical skills.
Understanding of object tracking and frame-by-frame annotation.
Ability to work with lengthy video datasets and meet project deadlines.