Video Annotator – Shot Boundary Detection | AI Training

Job Description

Turing is hiring Video Annotators for a shot boundary detection project supporting AI training and evaluation.

The role involves carefully reviewing video clips, identifying where individual shots begin and end, classifying different types of transitions, and organizing shots into scenes based on narrative or event continuity.

What You’ll Do

• Review video clips frame by frame to identify shot boundaries.
• Create a Shot Card for each identified shot and record its start and end frames.
• Identify and label transition types such as cuts, fades, dissolves, and wipes.
• Group related shots into scene buckets based on narrative or event continuity.
• Categorize video clips and scenes by content type, such as drama, documentary, gaming, podcast, or lifestyle.
• Maintain accuracy and consistency across a high volume of video annotations.
• Follow detailed project labeling guidelines.
• Identify and flag ambiguous or unusual cases for review.

Requirements

• 1+ year of experience in video/film editing, content creation, or video production.
• Strong understanding of shot composition, video editing techniques, and transition types.
• Excellent attention to visual details.
• Ability to distinguish camera movements such as panning or zooming from actual shot changes.
• Comfortable using annotation tools and structured labeling workflows.
• Ability to work independently and meet quality and throughput requirements.
• Good written communication skills for documenting ambiguous cases.

Preferred Qualifications

• Background in film studies, cinematography, or media production.
• Previous data annotation or labeling experience.
• Familiarity with different types of video content, including drama, documentaries, gaming, podcasts, and lifestyle content.

Application Process

1. Shortlisted candidates complete an assessment.
2. Candidates who successfully pass the assessment can proceed to the project.

Contract Details

This is a fully remote opportunity with flexible working hours.

Compensation, project duration, and required weekly hours are not specified in the provided listing.