Video Editor - AI Trainer

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

1. Review and edit AI-generated video captions for accuracy, detail, and clarity.
2. Analyze short video clips from movies and TV shows to assess visual content.
3. Identify and describe shot types, camera movements, framing, and character actions using industry-standard cinematic terminology.
4. Provide detailed scene breakdowns, annotating continuity, spatial layout, and narrative flow.
5. Deliver consistent, high-quality feedback to enhance AI scene recognition and understanding.
6. Collaborate with AI development teams to communicate annotation standards and best practices.
7. Maintain meticulous written documentation of edits and feedback to support model improvement.

Required Skills and Qualifications

1. Proven background in video editing, post-production, film, or related visual media.
2. In-depth knowledge of cinematic language, shot composition, and pacing principles.
3. Exceptional written and verbal communication skills, with a focus on clarity and precision.
4. Expertise in visual storytelling and keen attention to visual details.
5. English language proficiency at native or C2 level.
6. Ability to commit at least 30 hours per week during the project period (approx. 2–4 weeks, with potential for extension).
7. Strong organizational skills and ability to work independently in a remote environment.

Preferred Qualifications

1. Previous experience annotating video or training AI/ML models in visual media contexts.
2. Familiarity with automated video analysis tools or AI-driven editing software.
3. Background in teaching, training, or providing structured feedback in creative fields.