Remote Video Production Specialist for AI Training

micro1 Inc.; United States; A distancia; USD 34.000 - 83.000; A tiempo parcial

Descripción de la vacante

micro1 Inc. seeks a remote Video Production Specialist to deliver high-quality video content and support AI model training with clear storytelling. You will manage pre-production through post-production, ensuring assets align with briefs and platform formats.

A strong portfolio across formats and codecs, plus experience collaborating virtually, will help you thrive. You will document workflows, provide actionable feedback, and contribute to data labeling and system improvements through

Formación

• Extensive experience in all stages of video production.
• Proficiency with Premiere Pro, Final Cut Pro, or DaVinci Resolve.
• Ability to provide clear written and verbal feedback.
• Strong visual storytelling with a diverse portfolio.
• Experience with remote collaboration and virtual teams.

Responsabilidades

• Produce, edit, and deliver high-quality video content per briefs.
• Review footage for narrative coherence and technical accuracy.
• Provide actionable feedback to support AI model training.
• Document video production processes with clear written communication.
• Collaborate virtually with stakeholders to align on objectives.
• Curate or source video materials illustrating various genres and techniques.
• Contribute expertise to inform data labeling and system improvements.

Conocimientos

Video production experience

Written feedback

Verbal feedback

Storytelling

Attention to detail

Herramientas

Adobe Premiere Pro

Final Cut Pro

DaVinci Resolve

Descripción del empleo

micro1 Inc. seeks a remote Video Production Specialist to deliver high-quality video content and support AI model training with clear storytelling. You will manage pre-production through post-production, ensuring assets align with briefs and platform formats.

A strong portfolio across formats and codecs, plus experience collaborating virtually, will help you thrive. You will document workflows, provide actionable feedback, and contribute to data labeling and system improvements through