About this role · General
About the Role We're looking for visually literate film and video enthusiasts to help train the next generation of AI systems to understand the language of cinema. As a Video Shot Annotation Artist at Alignerr, you'll analyze video at the shot level — describing camera angles, movement, framing, and mood in structured, precise language that teaches AI how a scene really works. This is a unique opportunity to put your passion for film and visual storytelling to work on cutting-edge AI research. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: Flexible hours, work on your own schedule What You'll Do - Break videos into individual shots and confirm shot boundaries - Annotate each shot for camera angle, shot size, and camera movement - Describe on-screen action in clear, concise, structured language - Apply stylistic tags for lighting, visual tone, and genre feel where relevant - Follow predefined taxonomies and labeling sets to ensure consistency - Flag ambiguous shots or unclear transitions for review - Maintain speed and accuracy across high-volume annotation workflows Who You Are Must-Have: - Strong visual literacy — you notice the details others miss - Solid understanding of film grammar: shot types, angles, and camera movements - Comfortable working in labeling tools, spreadsheets, or structured interfaces - High attention to detail and ability to stay consistent across repetitive tasks Nice to Have: - Background in video editing, assistant editing, or post-production - Prior experience with data annotation or dataset labeling - Formal or self-directed study in film, cinematography, or media production Why Join Us - Work on cutting-edge AI projects with top research labs - Fully remote and flexible — work on your own schedule from anywhere - Freelance perks: autonomy, variety, and global collaboration - Contribute to meaningful work that shapes how AI understands visual storytelling - Potential for ongoing work and contract extension