Video Data Annotation Specialist (English)

The work

You will help prepare video data for AI systems by labeling objects accurately and reviewing other annotations. The work requires careful attention to detail across a large volume of footage.

You will follow project guidelines, keep labels consistent, and raise questions or possible problems with the project team.

  • Create bounding boxes around relevant objects in video footage.
  • Review annotations for accuracy, consistency, and completeness.
  • Find and correct labeling errors.
  • Apply detailed project instructions and quality standards.
  • Maintain consistent quality across a high volume of video data.
  • Meet project deadlines, including accelerated timelines when required.
  • Communicate questions, challenges, and potential issues clearly.

What it pays and takes

This is a part-time contract role for an experienced annotation professional. Pay details are not provided in the listing.

  • Hours: 20 or more per week.
  • Location: Open worldwide.
  • Language: Fluency in English.
  • Experience: At least 3 years of experience in data annotation projects.
  • Required background: Previous experience with video data annotation.
  • Required skills: Experience creating bounding boxes or completing similar object annotation tasks.
  • Work setup: Reliable internet connection and access to a suitable computer.
  • You should be able to spot visual inconsistencies, follow detailed instructions, and apply guidelines consistently.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training work is the human side of building artificial intelligence. People label and review examples such as video, images, text, and audio so AI systems can learn to recognize patterns and produce better results.

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