Video Annotation Specialist
micro1 / Video Annotation Specialist
RATE
$8 - $10/HR
LOCATION
REMOTE (GLOBAL)
DESCRIPTION
Role Title: Video Annotation Specialist Role Type: Contractor Location: Remote micro1 is engaging Video Annotation Specialists to support a customer’s AI training project focused on video and audio analysis. 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 short video and audio clips, scrutinizing both visual and auditory elements for detailed annotation and assessment. • Evaluate the accuracy of AI-generated descriptions, verifying alignment with provided guidelines and identifying inconsistencies or errors. • Deliver clear, concise written feedback to highlight inaccuracies, ambiguities, or areas of uncertainty in the reviewed content. • Apply consistent judgment to ensure that content labeling supports robust AI evaluation and training objectives. • Flag content that does not meet specified standards or requires further clarification from project leads. • Collaborate with project coordinators and follow project protocols to maintain high annotation quality and data integrity. • Contribute to continual process improvement by suggesting annotation and quality assurance enhancements. Preferred
REQUIREMENTS
- ▸Demonstrated experience in data annotation, labeling, or content moderation — particularly with video or audio data.
- ▸Strong English communication skills, with the ability to provide detailed written and verbal feedback.
- ▸Keen attention to detail and the ability to apply consistent, objective judgment throughout repetitive tasks.
- ▸Familiarity with generalist training, content review, or guideline-based evaluation is advantageous.
- ▸Comfort working independently and reliably in a remote project setting.
- ▸Adaptability to quickly learn new annotation tools, protocols, and quality standards.
- ▸Commitment to upholding data confidentiality and accuracy throughout the engagement.
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