This is a fully remote position, open to candidates based in 55 countries, including United States, United Kingdom, Canada, Germany, India, France, Netherlands, Singapore.
Pay: $8–$10/hr
Role Title: Video Data Annotator
Role Type: Contractor
Location: Remote
We are engaging Video Data Annotators to contribute expertise and precision to a customer’s project focused on the advancement of artificial intelligence. In this role, you’ll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Scope of Work
• Review and annotate short video and audio clips, labeling content accurately based on project-specific guidelines.
• Assess the accuracy and appropriateness of AI-generated descriptions for diverse multimedia content.
• Evaluate content compliance against clear moderation standards, flagging uncertain or inappropriate material with detailed rationale.
• Provide clear, concise written feedback highlighting potential inaccuracies or ambiguities in AI outputs.
• Maintain rigorous attention to detail and consistency in annotation, ensuring data integrity across high volumes of submissions.
• Collaborate remotely with project managers and fellow specialists to clarify guidelines and support process improvements.
• Safeguard all project data, adhering strictly to confidentiality and data protection standards.
Preferred Qualifications
• Demonstrated experience with video and audio annotation, content labeling, or content moderation for digital platforms.
• Strong command of English, with the ability to communicate feedback and findings clearly in written form.
• Excellent attention to visual and audio detail, with a track record of delivering high-accuracy data annotation.
• Experience working independently and adapting quickly to changing project requirements or guidelines.
• Familiarity with guideline-based evaluation and quality assurance practices.
• Proactive approach to identifying process improvements and sharing best practices with remote collaborators.
• Commitment to maintaining data confidentiality and ethical handling of sensitive information.
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