Video Annotation Lead QA Lead

Role Summary:

This role will own the endtoend manual video annotation workflow The person will interpret AWSNBCU annotation guidelines manage annotator onboarding and calibration oversee QA resolve edge cases track throughput and provide status quality reporting

Key Responsibilities:

Lead the manual video annotation workstream across assigned asset batches

Review AWSNBCU annotation guidelines and translate them into clear instructions for annotators

Manage annotator calibration sessions and ensure consistency in labelling approach

Oversee annotation activities such as temporal segmentation action event tagging scene metadata tagging captions narratives and bounding box polygon annotation where required

Perform QA review of completed annotations

Manage rework for incorrect incomplete or inconsistent labels

Resolve ambiguous annotation cases and maintain an issue log for AWSNBCU clarification

Track throughput quality scores rework volume and delivery status

Provide weekly status and quality reporting to stakeholders

Ensure work is performed within approved AWSNBCU security and access guidelines

Required Skills:

Experience leading data annotation content QA media operations metadata operations or labelling teams

Strong understanding of video assets timecodes clips captions scenes and metadata

Ability to interpret and apply annotation taxonomies consistently

Experience with QA sampling quality checks rework management and status reporting

Familiarity with annotation tools such as Label Studio CVAT Supervisely V7 Scale AI tools or similar

Strong attention to detail and ability to manage quality sensitive workflows

Good stakeholder communication and coordination skills

Skills

Mandatory Skills : Accessibility Testing Video Annotation