Role Title: Video Annotation Specialist
Role Type: Contract
Location: Remote
We are 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.
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
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 Qualifications
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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