Video Data Annotation Specialist

You will help prepare video data for AI systems by marking relevant objects and checking that existing annotations are accurate. The work requires careful attention across a high volume of footage and clear communication when questions or issues arise.

• Create accurate bounding boxes around relevant objects in video footage.
• Review video annotations for accuracy, consistency, and completeness.
• Identify and correct annotation errors using detailed project guidelines.
• Maintain consistent quality across a high volume of video data.
• Communicate questions, challenges, and potential issues to the project team.
• Meet project deadlines, including accelerated timelines when required.

The listing does not state a pay rate. This is a part-time contractor role with a minimum time commitment of 20 hours per week.

• Work arrangement: Remote and open worldwide.
• Time requirement: 20+ hours per week.
• Role type: Part-time contract work.
• Language: English.
• Experience: At least three years of experience in data annotation projects.
• Required background: Previous experience with video-based data annotation and bounding boxes or similar object annotation tasks.
• Skills: Strong attention to detail, visual quality checking, and the ability to follow detailed instructions consistently.
• Equipment: Reliable internet connection and access to a suitable computer.

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

AI training is the human work behind systems that learn from examples, including labeled images and video. Annotation specialists are paid for careful, consistent work because accurate labels help make AI models more reliable.