Archival Video Editor
Job Summary
Job Description
Eyeline Studios seeks a detail-oriented Archival Video Editor with experience in video editing, machine learning, and data annotation. You'll curate video footage for machine learning projects, collaborating with data scientists and engineers. Proficiency in video editing software and strong communication skills are essential.
Must have:
- Video Editing
- Machine Learning
- Data Annotation
- Video Software
Good to have:
- Copyright Issues
- Programming Tools
- Data Management
- Python, SQL
Perks:
- Netflix Investment
- Hybrid Work
8 skills required
Job Details
Eyeline Studios
At Eyeline, Scanline VFX's virtual production division, we want to provide you with a solid foundation where you can be a part of an innovative team of brilliant researchers, developers and virtual storytellers. Learn more.
We are seeking a detail-oriented Archival Editor with a strong understanding of video content sourcing and editing for machine learning applications. The ideal candidate will be responsible for sourcing, editing, and curating video footage to support our machine learning projects. You will collaborate with data scientists and engineers to ensure that the video data meets our quality standards and project requirements.
Responsibilities
- Identify and acquire high-quality video footage from various sources, ensuring a diverse and relevant dataset for machine learning models.
- Edit and process video clips to optimize them for analysis, including trimming, formatting, and enhancing footage as needed.
- Annotate and label video data accurately for machine learning training purposes.
- Review sourced footage for consistency and quality, ensuring it aligns with project specifications.
- Work closely with data scientists and machine learning engineers to understand project requirements and provide feedback on footage utility.
- Organize and maintain a well-structured library of video assets for easy access and retrieval.
Requirements
- Your background is in Film Production, Multimedia, Computer Science, or a related field.
- You can demonstrate your experience in video editing, with a strong portfolio showcasing your work.
- Familiarity with machine learning concepts and the role of video data in training models.
- Proficiency in video editing software (e.g., Adobe Premiere Pro, Final Cut Pro, DaVinci Resolve).
- You are able to communicate with others effectively and have the ability to adapt to a changing work environment.
- Experience with data annotation tools and software.
- Understanding of copyright and licensing issues related to video content.
- Basic knowledge of programming or data management tools (e.g., Python, SQL).
About Us
Scanline VFX is an award-winning leader in the visual effects industry with 7 studios worldwide, including London, Los Angeles, Montreal, Munich, Seoul, Stuttgart, and Vancouver. Since our beginning in 1989, we strive to set the highest standard of quality in everything we do. Through innovation, we generate solutions for our clients and raise the bar — both within our workplace and throughout our industry.
Powered by Netflix
Netflix’s investment in our pipeline, infrastructure, and workforce allows us to continue to push the boundaries of what is possible in visual effects. In addition to working on projects for Netflix, we continue to work with a variety of long-standing and new clients.
Come as you are
We are committed to ensuring fair and equal treatment of your application. When you apply for a role with us, you will receive consideration based solely on your qualifications.
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