Video Data Annotator – Remote (Worldwide)

RemoteJobsOne; New York (NY); Remote; USD 11,000 - 14,000; Part time

Job summary

RemoteJobsOne is seeking a Video Data Annotator for a fully remote contractor role. You will review and label video and audio content to guide AI training, applying project guidelines with precision from anywhere in the 55-country program.

Strong English and meticulous attention to detail are essential as you work with project managers and specialists to ensure high-quality annotations. Responsibilities include annotating multimedia clips, checking AI-generated descriptions for accuracy,

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 clearly in writing.
• Excellent attention to visual and audio detail, with high data accuracy.
• Experience working independently and adapting to changing guidelines.
• Familiarity with guideline-based evaluation and quality assurance practices.
• Proactive approach to sharing process improvements with remote collaborators.
• Commitment to maintaining data confidentiality and ethical handling of sensitive information.

Responsibilities

• 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.

Skills

Video annotation

Content labeling

Content moderation

Job description

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.