[Hiring] Video Data Annotator @Xperteez Technology

Role Description

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.

• 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.

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.

Requirements

• Video annotation
• Audio annotation
• Data labeling
• Content moderation
• Attention to detail
• English communication
• Written feedback
• Guideline-based evaluation
• Independent work
• Adaptability
• Process improvement
• Data confidentiality
• Remote collaboration