Video Annotation Specialist

What You'll Do7

• Examine short video and audio clips, paying close attention to both visual and auditory details for annotation.
• Check AI-generated descriptions for accuracy, ensuring they match provided guidelines and spotting any errors or inconsistencies.
• Write clear, concise feedback that points out inaccuracies, ambiguities, or uncertain areas in the content you review.
• Apply consistent judgment so that content labeling meets the standards required for AI evaluation and training.
• Flag content that falls short of project standards or needs clarification from project leads.
• Work with project coordinators and follow established protocols to maintain high annotation quality and data integrity.
• Suggest improvements to annotation and quality assurance processes as you identify opportunities.

Requirements7

• Experience with data annotation, labeling, or content moderation, especially involving video or audio data.
• Strong English communication skills, both written and verbal, to deliver detailed feedback.
• Sharp attention to detail and the ability to apply objective, consistent judgment across repetitive tasks.
• Familiarity with generalist training, content review, or guideline-based evaluation is a plus.
• Comfort working independently and reliably in a remote setting.
• Ability to learn new annotation tools, protocols, and quality standards as the project evolves.
• Commitment to maintaining data confidentiality and accuracy throughout the engagement.

Who Should Apply

This role suits someone with hands-on experience in video or audio annotation, labeling, or content moderation, who can write clear feedback in English and stay focused on repetitive review tasks. If you have a track record of applying guidelines consistently and working remotely without close supervision, you are a strong fit. The role is less suitable for people who prefer creative, open-ended work or who struggle with repetitive detail checks. Candidates often get rejected when they cannot show specific annotation or moderation experience, or when their written feedback samples lack clarity and precision. A lack of familiarity with guideline-based evaluation can also lower your fit score.

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