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🌎Video Data Annotator, Remote- Contract

Remote · Ghana Full-time

Role Title: Video Data Annotator

Role Type: Contract

Location: Remote

Required Skills:

  • 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

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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