Watch video clips frame-by-frame and identify all shot boundaries Create a "Shot Card" for each shot, capturing start/end frames Identify and label the shot transition type and subtype (cut, fade, dissolve, wipe, etc.) Group shot cards into scene buckets based on narrative/event continuity Classify each video clip and scene bucket by category (e.g., TV-Streaming/Drama, Education/Documentary, Gaming/Sci-Fi, Podcast/Lifestyle) Maintain consistency and accuracy across a high volume of annotations Follow detailed labeling guidelines and flag edge cases for review Job Requirements:
1+ year of experience in video/film editing, content creation, or video production Robust understanding of shot composition, editing techniques,
and transition types Sharp attention to detail and ability to distinguish subtle visual cues (e.g., panning/zooming vs. an actual shot change)
Comfortable working with annotation tools and following structured labeling workflows Ability to work independently and meet quality/throughput targets Good written communication for documenting edge cases or ambiguous calls Nice to have Qualification:
Background in film studies, cinematography, or media production Prior experience with data annotation or labeling projects Familiarity with different genres (drama, documentary, gaming, podcast/lifestyle content Interested share your resume to lavanya@