Overview of the Position
The Digital Imaging Specialist supports the preparation, classification, and quality control of image data used by the Diagnostics team. In this role, you will review and label device images, verify classification accuracy, monitor work queues and throughput, identify edge cases, and maintain the records needed to understand progress and quality.
This is an execution-focused, shared-resource position. You will work through established procedures, classification standards, quality checks, trackers, and escalation paths. When labeling demand permits, you may also assist with related data, reporting, documentation, and process-improvement activities.
This position does not include client-facing responsibilities.
What Makes Us Different?
- Work with image data that supports Diagnostics operations and data-driven decision-making.
- Gain hands-on experience with image classification, quality control, reporting, and operational analytics.
- Build knowledge of mobile-device imagery, device conditions, and diagnostics-related terminology.
- Use tools such as Microsoft Excel, Power BI, Microsoft 365, and Microsoft Copilot to organize work and monitor results.
- Contribute to process improvements that increase labeling accuracy, consistency, and efficiency.
- Collaborate with distributed teams while managing clearly defined responsibilities in a remote environment.
What Will Be My Duties and Responsibilities in This Job?
- Review and classify screen and back-of-device images using approved categories, labeling standards, and documented guidance.
- Apply classifications consistently across categories such as Hand, Partial, Obstruction, Not Device, Blurry, Good Image, and other approved labels.
- Review image metadata and available contextual information before assigning or updating a classification.
- Reclassify images when quality reviews identify an incorrect or inconsistent label.
- Record clear notes for ambiguous images and escalate unresolved cases through the appropriate process.
- Perform quality spot-checks and second-pass reviews of completed labeling work.
- Identify inconsistent labels, unclear category boundaries, duplicate records, unsuitable images, and other data-quality concerns.
- Recognize image and device edge cases, including folded devices, partial devices, obstructions, reflections, visual artifacts, and dead-pixel lines.
- Document exceptions, monitor recurring error patterns, and confirm that required corrections are completed.
- Recommend updates or clarifications to labeling guidance and quality-review checklists when recurring issues are identified.
- Track daily labeling volume and throughput for screen and back-of-device work against assigned goals.
- Monitor backlog, aging, completion status, quality-control queues, and shortfalls against expected output.
- Maintain labeling assignments and help ensure that priority queues and quality-control work remain covered.
- Provide concise status updates summarizing completed volume, outstanding work, quality concerns, and blockers.
- Escalate capacity constraints or significant deviations from expected throughput.
- Maintain accurate trackers, logs, procedures, category definitions, and status records.
- Support ad hoc data pulls, basic analysis, reporting, documentation, and cross-project assignments as needed.
- Participate in process-improvement activities designed to increase accuracy, consistency, and operational efficiency.
- Protect confidential information and comply with applicable data-handling and access requirements.
What Are the Requirements Needed for This Position?
- 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 to organize and monitor assignments.
- Strong visual attention to detail and the 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, including the ability to review 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.
What Other Skills or Experience Would Be Helpful to Have?
- Experience with image annotation, image labeling, computer-vision training data, or digital-content quality review.
- Experience using image annotation or labeling platforms.
- Experience with Microsoft Power BI or another data-reporting or visualization tool.
- Familiarity with mobile devices, device diagnostics, screen imagery, back-case imagery, or device-condition terminology.
- Experience using approved AI tools, such as Microsoft Copilot, to support documentation, summaries, or routine analysis.
- Experience supporting distributed teams or working within an external service-delivery model.
- Experience identifying data-quality trends and recommending improvements to procedures, classification guidance, or review checklists.
What Are the Working Conditions and Physical Requirements of This Job?
This role is primarily performed in a remote, computer-based environment using standard collaboration, data, reporting, and work-management tools.
The position requires the ability to:
- Perform detailed screen-based work for extended periods.
- Review and compare visual information accurately.
- Use a computer, spreadsheet applications, and collaboration tools throughout the workday.
- Participate in virtual meetings and communicate with distributed team members.
- Manage recurring assignments independently in accordance with established procedures and deadlines.
Reasonable accommodations may be made where applicable.
How Much Should I Expect to Travel?
No regular travel is expected for this position.
Disclaimer
The information above describes the general nature and level of work expected for this position. It is not intended to be a comprehensive inventory of every duty, responsibility, or qualification associated with the role. Responsibilities and work priorities may be adjusted across supported initiatives based on business needs.
AI and Biometric Usage
Assurant supports the responsible use of Artificial Intelligence (AI), but we want to know the real you. Visit our AI Usage Guidelines page to understand what we expect from applicants regarding their use of AI during the application process. Since we would like to know the real you, we require that all of our virtual interviews be conducted on video.
Employment is contingent upon completion of a required identity verification process, which may include biometric technology, where permitted by applicable law and subject to applicable notice and consent requirements. See our Privacy Notice to learn about Assurant’s privacy practices, including our use of AI-enabled technology, automated decision making, and biometric information.
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Associate degree or equivalent; 1+ year in data labeling, data entry, or quality assurance; experience with spreadsheets and work queues; proficiency in Microsoft Excel and Microsoft 365; strong attention to detail; ability to work independently remotely.
Key Responsibilities
- classifying images
- monitoring work queues
- documenting exceptions
Skills & Tools
Microsoft Excel, Microsoft 365, Microsoft Power BI, Microsoft Copilot
Job Details
- Category: Data and Analytics
- Seniority: Entry Level
- Commitment: Full Time
- Workplace: Remote — Argentina or Buenos Aires
- Languages: English
About Assurant
A technology services company supporting diagnostics operations through image data management. — Industry: Information Technology