The Work:
You will review annotated video data against detailed project guidelines. Your work will help confirm that videos and their annotations are accurate, complete, consistent, and ready for AI training.
You will make careful visual judgments across a large volume of video content, document issues clearly, and give useful feedback when errors repeat or guidelines leave room for interpretation.
Review and quality-check video annotations using established guidelines.
Validate the accuracy, completeness, and consistency of annotated video data.
Identify, document, and correct annotation issues.
Check whether videos and annotations meet required quality standards.
Provide clear feedback on recurring errors and ambiguous cases.
Follow established workflows and collaborate on quality questions.
Meet project deadlines while maintaining consistent attention to detail.
What It Pays and Takes
This is a remote contract role for an experienced data annotation professional. The work requires reliable equipment, careful visual review, and the ability to apply detailed quality rules consistently.
Compensation: No specific rate is provided.
Time: 20+ hours per week.
Schedule:
Flexible working hours; weekend availability may be required when project timelines are tight.
Location: Remote and open worldwide.
Experience: At least three years working on data annotation projects.
Required background: Previous experience with video annotation or video quality assurance.
Required skills:
Experience reviewing, validating, or auditing annotated datasets; strong visual attention to detail; and analytical skills.
Equipment: Reliable internet access and a suitable computer.
Language: English.
About AI Training Work
AI training work is the human side of building artificial intelligence, including reviewing and labeling video so models can learn from accurate examples. OpenTrain helps people find these projects, build a profile, and apply for opportunities in one place.
