(Video / Shot Structure / Narrative Segmentation)

We are looking to find a skilled Video Scene Segmentation Analyst to join our growing team.

You will annotate raw video footage into structured scenes to support scene segmentation, narrative understanding, and video summarisation models. The role involves identifying scene boundaries, marking shot composition, and capturing core contextual metadata.

Responsibilities:

• Review raw video footage and segment it into scenes using an established shot and scene ontology

• Annotate each segment with start and end timestamps, scene type, dialogue versus music, indoor/outdoor, time of day, and primary character identifiers

• Label predominant shot types such as wide, medium, close up, over-the-shoulder, POV, or crowd shots

• Capture a short functional description of each scene such as introduction, conflict, transition, or resolution• Flag ambiguous transitions and document reasoning for edge cases

Requirements:

• Understanding of film grammar, shot language, and narrative structure

• Ability to use video playback tools for scrubbing, slow motion, and frame-accurate navigation

• Comfort with annotation platforms or custom labelling tools

• Strong attention to temporal detail and consistency

Background:

• Film editing, film studies, script analysis, continuity, or related work

• Experience creating shot lists or scene breakdowns

• Familiarity with narrative content such as films, series, or documentaries

Sample Test Task:

• Given a 5 minute narrative video, segment it into scenes with timestamps and label shot types — Provide a 1–2 sentence functional description of each scene.

Application Requirements:

• Brief explanation of how you define a scene change

• Example of any past scene breakdown or shot list (optional)

• Completion of the sample test task

Compensation

• Per annotated minute or per project

• Optional hourly arrangements (depending on scope)