Required Skills
Shot analysis Scene breakdownVisual accuracy Video Editing
Job Description
Job Title: Video Editor - AI Trainer
Job Type: Contract (Full-time or Part-time)
Location: Remote
Job Summary
Join our customer's team as a Video Editor – AI Trainer and play a pivotal role in shaping next-generation visual AI models. Leverage your expertise in cinematic storytelling to analyze video clips, refine AI-generated scene descriptions, and ensure exceptional visual accuracy and storytelling fidelity. This is a unique opportunity to blend creative editing skills with emerging AI technology in a collaborative, remote-first setting.
Key Responsibilities
- Review and edit AI-generated video captions for accuracy, detail, and clarity.
- Analyze short video clips from movies and TV shows to assess visual content.
- Identify and describe shot types, camera movements, framing, and character actions using industry-standard cinematic terminology.
- Provide detailed scene breakdowns, annotating continuity, spatial layout, and narrative flow.
- Deliver consistent, high-quality feedback to enhance AI scene recognition and understanding.
- Collaborate with AI development teams to communicate annotation standards and best practices.
- Maintain meticulous written documentation of edits and feedback to support model improvement.
Required Skills and Qualifications
- Proven background in video editing, post-production, film, or related visual media.
- In-depth knowledge of cinematic language, shot composition, and pacing principles.
- Exceptional written and verbal communication skills, with a focus on clarity and precision.
- Expertise in visual storytelling and keen attention to visual details.
- English language proficiency at native or C2 level.
- Ability to commit at least 30 hours per week during the project period (approx. 2–4 weeks, with potential for extension).
- Strong organizational skills and ability to work independently in a remote environment.
Preferred Qualifications
- Previous experience annotating video or training AI/ML models in visual media contexts.
- Familiarity with automated video analysis tools or AI-driven editing software.
- Background in teaching, training, or providing structured feedback in creative fields.
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