MultimediaVideo
Video Scene Semantic Tagger
Perform temporal scene segmentation, action recognition labelling, and multi-modal event annotation on video datasets for frontier AI training in computer vision and video understanding.
Rate
$45–$95 / hr
Placed this month
156
Commitment
Flexible, 10–30 hours per week
Responsibilities
What you'll do
- Segment video into semantically coherent scenes with precise timestamps.
- Label human actions, object interactions, and spatial relationships.
- Annotate multi-modal events combining visual, audio, and text cues.
- Verify AI-generated video captions and descriptions for accuracy.
Requirements
What we need
- Experience in video annotation, film production, or computer vision labelling.
- Strong spatial and temporal reasoning skills.
- Familiarity with annotation tools (CVAT, Label Studio, or equivalent).
- Attention to detail on frame-level and scene-level tasks.
Ready to apply
15 minutes. One interview. Verified for life.
Complete one domain interview and you'll be matched to paid research work — including this role — within a week.