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Linux-Based Post-Production Specialist (Cinelerra)

$40 - $120/hr Worldwide Remote · worldwide expert Contract / freelance
Pay rate · $40 - $120/hr
  • Job Description
  • Linux-Based Post-Production Specialist (Cinelerra)
  • Contract
  • Remote

Job Summary

  • In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
  • Key Responsibilities
  • Lead the editing, compositing, and finishing of high-resolution video using Cinelerra on Linux systems.
  • Design and manage complex multi-track timelines with precision for professional broadcast and digital production.
  • Implement advanced compositing techniques, including motion tracking, chroma keying, and effects layering.
  • Optimize media handling and rendering pipelines to ensure efficient and seamless workflows.
  • Troubleshoot technical issues related to codecs, formats, and hardware compatibility in Linux environments.
  • Collaborate with stakeholders to refine creative vision and deliver assets on schedule.
  • Maintain detailed documentation of post-production processes and best practices.
  • Required Skills and Qualifications
  • Expert-level proficiency in Cinelerra and Linux-based video post-production workflows.
  • Demonstrated ability to handle and optimize high-resolution media files.
  • Strong experience with advanced compositing, motion tracking, and color grading.
  • Keen attention to detail when managing complex timelines and layered projects.
  • Excellent written and verbal communication skills, with emphasis on clear collaboration.
  • Problem-solving aptitude and technical troubleshooting in a Linux ecosystem.
  • Strong organizational skills and ability to prioritize in a fast-paced, deadline-driven environment.
  • Preferred Qualifications
  • Hands-on experience with professional broadcast workflows and standards.
  • Background in optimizing hardware and software performance for media production on Linux.
  • Familiarity with additional open-source media tools and rendering pipelines.
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