Video Data Annotation Specialist

What You'll Do7

• Review short video and audio clips and assign accurate labels based on project-specific guidelines.
• Evaluate AI-generated descriptions for multimedia content, checking for accuracy and appropriateness.
• Assess content against moderation standards and flag uncertain or inappropriate material with clear reasoning.
• Write concise feedback that points out potential inaccuracies or ambiguities in AI outputs.
• Maintain consistent annotation quality across a high volume of submissions.
• Work remotely with project managers and other specialists to clarify guidelines and suggest process improvements.
• Protect all project data by following confidentiality and data protection rules.

Requirements7

• Experience with video and audio annotation, content labeling, or content moderation for digital platforms.
• Strong English skills, both written and verbal, to communicate feedback and findings clearly.
• Keen eye for visual and audio detail, with a history of delivering high-accuracy annotation.
• Ability to work independently and adapt to changing project requirements or guidelines.
• Familiarity with guideline-based evaluation and quality assurance practices.
• Proactive in spotting process improvements and sharing best practices with remote colleagues.
• Commitment to data confidentiality and ethical handling of sensitive information.

Who Should Apply

This role suits someone with hands-on experience in video or audio annotation, content labeling, or moderation, who can follow detailed guidelines and write clear feedback in English. The ideal candidate works well alone, stays accurate under volume, and is comfortable with repetitive review tasks. It is less suitable for people who need constant supervision or who dislike detailed written communication. A common reason candidates get rejected is failing to show specific examples of annotation accuracy or guideline-based evaluation. Another is not demonstrating the ability to adapt to changing guidelines or to handle sensitive data with care.

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