Location : Remote years of Experience : 1+ years

Budget : 15k/ Month

Freelancer : 2 months project

Job Responsibilities
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
Valuable 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
dataannotation #videoannotation #freelancer #flimediting #immediatejoiners #remoteopenings #imageinnotation

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