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Digital Imaging Specialist

Sobre a vaga

• Review and classify screen and back-of-device images using approved categories and labeling standards
• Apply classifications consistently across approved image categories
• Review image metadata and contextual information before assigning or updating classifications
• Reclassify images when quality reviews identify incorrect or inconsistent labels
• Record notes for ambiguous images and escalate unresolved cases
• Perform quality spot-checks and second-pass reviews
• Identify inconsistent labels, unclear category boundaries, duplicate records, unsuitable images, and other data-quality concerns
• Recognize image and device edge cases such as folded devices, partial devices, obstructions, reflections, visual artifacts, and dead-pixel lines
• Document exceptions, monitor recurring error patterns, and confirm corrections
• Recommend updates to labeling guidance and quality-review checklists
• Track daily labeling volume and throughput against assigned goals
• Monitor backlog, aging, completion status, quality-control queues, and output shortfalls
• Maintain labeling assignments and coverage of priority queues and quality-control work
• Provide status updates on completed volume, outstanding work, quality concerns, and blockers
• Escalate capacity constraints or significant throughput deviations
• Maintain trackers, logs, procedures, category definitions, and status records
• Support ad hoc data pulls, basic analysis, reporting, documentation, and cross-project assignments
• Participate in process-improvement activities
• Protect confidential information and comply with data-handling and access requirements

• An associate degree or an equivalent combination of education and relevant experience
• At least one year of experience in data labeling, data entry, content review, quality assurance, operations, reporting, or another detail-oriented role
• Experience following documented procedures and completing recurring or repetitive work accurately
• Experience using spreadsheets, trackers, work queues, or similar tools
• Strong visual attention to detail and ability to apply classification standards consistently
• Ability to recognize image-quality conditions and identify ambiguous, unusual, or potentially misclassified cases
• Working proficiency with Microsoft Excel and Microsoft 365 applications
• Ability to organize assigned work, manage recurring deadlines, and communicate blockers promptly
• Basic analytical skills involving volumes, trends, exceptions, completion status, and backlog
• Clear written communication and disciplined process-documentation skills
• Ability to work independently in a remote environment while following established priorities, procedures, and escalation paths
• Ability to perform detailed, computer-based work for extended periods

• Remote work environment
• Hands-on experience with image classification, quality control, reporting, and operational analytics
• Professional experience with Microsoft Excel, Power BI, Microsoft 365, and Microsoft Copilot
• Process-improvement opportunities
• Distributed-team collaboration
• Reasonable accommodations may be made where applicable