Remote Data Annotation & Quality Feedback Specialist

• 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.

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.

Application Process

• Easy Apply on Linked In
• Participate in resume evaluation & interview stage