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.