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Film and Video Editor

micro1, Austin, Texas, us, 78716

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Overview JobTitle:

FilmandVideoEditor-AItrainer

JobType:

Part-time

Location:

Remote

JobSummary:

Join our customer's team as a FilmandVideoEditor-AItrainer and leverage your industry expertise to shape the future of AI-driven editing. In this role, you will empower artificial intelligence to understand the artistry of storytelling through editing, pacing, and post-production workflows, ensuring intelligent systems reflect the nuance and creativity of human editors.

Key Responsibilities

Train AI models on the principles of film and video editing, focusing on storytelling, shot selection, and visual narratives.

Collaborate with technical teams to provide annotated examples, feedback, and guidance on editing tasks.

Curate and organize video assets, aligning with producers or directors to optimize workflows for final production.

Editor synchronizes soundtracks with moving images to achieve seamless audio-visual integration.

Evaluate and improve AI-generated edits, providing detailed written and verbal feedback to enhance learning.

Advocate for best practices in pacing, synchronization, and visual clarity within the AI’s editing process.

Maintain clear communication with cross-functional teams, ensuring alignment on project objectives and deliverables.

Qualifications

Required Skills and Qualifications:

Demonstrated expertise in editing moving images on film, video, or digital media platforms.

Strong proficiency with industry-standard editing software (e.g., Adobe Premiere Pro, Final Cut Pro, DaVinci Resolve).

Exceptional written and verbal communication skills, with a keen attention to clarity and detail.

Experience collaborating with producers or directors to achieve creative vision in post-production.

Solid understanding of synchronization, pacing, and visual storytelling techniques.

Ability to provide structured, actionable feedback and document processes effectively.

Self-motivated, proactive, and comfortable working remotely in a collaborative environment.

Preferred Qualifications

Prior experience training AI or working closely with machine learning teams in a creative context.

Background in teaching, creative mentorship, or editorial leadership roles.

Familiarity with workflows that integrate both sound and image editing (excluding specialized sound engineering technicians).

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