🌎Video Data Annotator, Remote- Contract

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.