Cinematography Analysis & AI Training
Labelbox • Remote Shape the data that powers frontier AI
Quick facts
– Engagement – Hourly, at‑will contractor
– Schedule – Fully remote & asynchronous (min. 15 hrs/week)
– Pay Range (US) – $30 – $50 per hour
– Start Date – Rolling — staffed as projects launch
About Alignerr
Alignerr works with AI labs that need high‑quality, human‑created descriptions of film and video. Our teams help models understand not just “what is on screen,” but how a scene is staged, paced, and emotionally framed.
Role Overview
The Cinematography Analysis & AI Training Specialist will evaluate scene boundaries, camera angles, lighting characteristics, and shot composition using their domain expertise. Real-world experience in cinematography is essential to ensure high-quality annotations.
What You’ll Do
– Describe camera movement, framing choices, pacing, and blocking
– Review film clips and identify precise scene boundaries
– Analyze camera angles, movement, and shot composition using cinematography principles
– Follow standardized formatting for scene summaries and beat breakdowns
– Maintain accuracy and professional judgment across a high volume of visual analyses
What You Bring
Must-Have:
– Background in film, directing, editing, cinematography, or film school
– Ability to describe scenes visually without referencing dialogue
– Strong structured writing and scene-analysis ability
– Comfort re-watching clips to ensure accuracy
Nice-to-Have:
– Experience with script coverage, storyboarding, or pre-vis workflows
– Understanding of scene structure and storytelling fundamentals
Ready to Apply?
Click “Apply” above!
We review candidates on a rolling basis and will contact you if your background matches an active project.
$30 – $50 an hour
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Apply info ->
To apply for this job, please visit jobs.lever.co
