Video
Video Data Annotation Specialist
Status: Open
- Pay
- $8–$10/hr
- Location
- Remote
- Employment type
- Contractor
- Openings
- 1000
- Posted
- 2026-09-23
About this opportunity
Role Title: Video Data Annotation Specialist
Role Type: Contractor
Location: Remote
micro1 is 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
- 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.
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
What you'll do
- 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.