Video Data Annotation Specialist

IMPORTANT: after you apply, please check your email. We send you a link to complete your application — it is not considered until that last step is done. If you do not see it, check your spam folder.

This is a fully remote position, open to candidates based in Hong Kong.

Pay: $8–$10/hr

Role Title: Video Data Annotation Specialist

Role Type: Contractor

Location: Remote

We are engaging Video Data Annotation Specialists 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

1. Review and annotate short video and audio clips, labeling content accurately based on project-specific guidelines.
2. Assess the accuracy and appropriateness of AI-generated descriptions for diverse multimedia content.
3. Evaluate content compliance against clear moderation standards, flagging uncertain or inappropriate material with detailed rationale.
4. Provide clear, concise written feedback highlighting potential inaccuracies or ambiguities in AI outputs.
5. Maintain rigorous attention to detail and consistency in annotation, ensuring data integrity across high volumes of submissions.
6. Collaborate remotely with project managers and fellow specialists to clarify guidelines and support process improvements.
7. Safeguard all project data, adhering strictly to confidentiality and data protection standards.

Preferred Qualifications

1. Demonstrated experience with video and audio annotation, content labeling, or content moderation for digital platforms.
2. Strong command of English, with the ability to communicate feedback and findings clearly in written form.
3. Excellent attention to visual and audio detail, with a track record of delivering high-accuracy data annotation.
4. Experience working independently and adapting quickly to changing project requirements or guidelines.
5. Familiarity with guideline-based evaluation and quality assurance practices.
6. Proactive approach to identifying process improvements and sharing best practices with remote collaborators.
7. Commitment to maintaining data confidentiality and ethical handling of sensitive information.

How to apply

Apply here with your profile. We will then email you a link to complete your application on the hiring platform — your application is only considered once that final step is done.