Video Annotation Specialist
Job in
Jakarta Barat, Jakarta, Indonesia
Listed on 2026-07-19
Listing for:
Alignerr
Full Time
position Listed on 2026-07-19
Job specializations:
-
IT/Tech
Data Annotation/ AI Labeling, AI Evaluation, Video Production -
Creative Arts/Media
Data Annotation/ AI Labeling, AI Evaluation, Video Production
Job Description & How to Apply Below
Video Annotation Specialist (AI Training) Overview
What if your sharp eye for visual detail could directly shape how AI understands the world through video? We’re looking for Video Annotation Specialists to segment, label, and describe video content that powers the next generation of AI models — helping machines learn to see, interpret, and make sense of moving images. This is a fully remote, flexible contract role open to anyone with strong visual attention and a methodical approach to work.
No professional video or film experience required — just a keen eye, reliable focus, and a commitment to quality.
- Organization:
Alignerr - Type:
Hourly Contract - Location:
Remote - Commitment: 10–40 hours/week
- Segment video content into individual shots and scenes with precision.
- Annotate camera angles, shot sizes, movement types, and on‑screen actions.
- Apply labels and tags to video elements using predefined category systems.
- Flag ambiguous transitions, unclear shots, or edge cases that need review.
- Maintain high speed and accuracy across large‑volume annotation workflows.
- Complete task‑based assignments independently on your own schedule.
- Visually sharp — you notice subtle differences others might miss.
- Naturally detail‑oriented with a consistent, methodical approach to repetitive tasks.
- Comfortable working in web‑based labeling tools or spreadsheets.
- Self‑motivated and reliable when working independently without supervision.
- Genuinely interested in video, film, or visual media.
- No prior video production, film, or AI experience required.
- Background in film, photography, media studies, or visual arts.
- Experience with video editing software or media analysis.
- Familiarity with annotation tools or data labeling platforms.
- Prior work in quality assurance, content review, or data entry.
- Work on cutting‑edge AI projects alongside leading research labs.
- Fully remote and flexible — work when and where it suits you.
- Freelance autonomy with the structure of meaningful, task‑based work.
- Make a direct, tangible impact on how AI perceives and understands visual media.
- Potential for ongoing work and contract extension as new projects launch.
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