Video Annotation Specialist

Alignerr Corp.; España; Remote; EUR 17,000 - 34,000; Part time

Benefits offered by this job

Flexible schedule

Remote work

Job summary

Alignerr is seeking a Video Annotation Specialist to help train AI systems by segmenting and labeling video content. This fully remote hourly contract offers flexible hours and the chance to work on cutting-edge AI projects.

You will break down videos into shots, annotate angles and movements, apply predefined labels, and flag edge cases for review, all while working independently and at your own pace.

Qualifications

• Attention to detail and visual accuracy required.
• No professional video or AI experience required.
• Remote work with flexible hours.

Responsibilities

• Break down videos into shots and scenes.
• Annotate camera angles, shot sizes, movement, and actions.
• Apply labels using predefined categories.
• Flag ambiguous transitions for review.
• Maintain speed and accuracy on high-volume tasks.
• Work independently and asynchronously.

Skills

Detail oriented

Web labeling tools

Spreadsheets

Independent work

Interest in visual media

Tools

Labeling platforms

Video editing tools

Job description

Video Annotation Specialist (AI Training)

What if your sharp eye for visual detail could directly influence how AI understands video - from the way a camera moves to the action unfolding on screen? We're looking for Video Annotation Specialists to segment, label, and describe video content that trains the next generation of AI models to make sense of the visual world.

This is a fully remote, flexible contract role open to anyone with strong attention to detail and an interest in visual media. No professional video or AI experience required - just a methodical mind and a genuine eye for what's happening on screen.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10-40 hours/week

What You'll Do

• Break down videos into individual shots and scenes with precision
• Annotate camera angles, shot sizes, movement types, and on-screen action
• Apply structured labels and tags using predefined categories and guidelines
• Flag ambiguous transitions, unclear shots, or edge cases for review
• Maintain speed and accuracy across high-volume annotation tasks
• Work independently and asynchronously - fully on your own schedule

Who You Are

• Naturally detail-oriented with a strong visual attention to subtle differences
• Comfortable working in web-based labeling tools or spreadsheets
• Consistent and methodical - you can stay accurate across repetitive tasks
• Interested in video, film, or visual media in any capacity
• Self-motivated and reliable when working independently
• No professional video production or AI experience required

Nice to Have

• Background in film, photography, media studies, or visual arts
• Experience with data annotation, content tagging, or digital media workflows
• Familiarity with video editing or media production tools
• Prior exposure to AI training datasets or labeling platforms

Why Join Us

• 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
• Contribute to AI development that shapes how technology understands the visual world
• Potential for ongoing work and contract extension as new projects launch