[Hiring] Quality Specialist – Data Annotation REMOTE USA
Position: Quality Specialist – Data Annotation
Date Posted: July 14, 2026
Industry: Artificial Intelligence | Spatial Computing | Data Annotation | Computer Vision
Employment Type: Full Time
Experience: 2+ Years of Experience in Data Annotation and Quality Assurance
Qualification: Bachelor’s Degree in Computer Science, Data Science, Engineering, or a Related Field (Preferred)
Salary: $45,000–$65,000 per year + Equity
Location: United States | REMOTE
Company: Augmodo
Description:
Augmodo is seeking a Quality Specialist – Data Annotation to help establish and maintain high-quality standards for its advanced spatial computing and AI-powered solutions. The company uses wearable technology and artificial intelligence to transform physical retail environments into intelligent digital spaces through real-time 3D mapping and inventory data.
The Quality Specialist will play a key role in defining quality benchmarks, improving data annotation processes, and supporting Computer Vision and Data Operations teams. This position is ideal for professionals who have strong attention to detail, experience with annotation platforms, and the ability to create reliable quality standards for large-scale AI datasets.
Key Responsibilities:
• Develop and maintain high-quality benchmark datasets and ground truth data used for annotator certification and performance measurement.
• Create and update training materials, guidelines, and certification assessments for annotation teams and vendors.
• Evaluate annotation quality against benchmark datasets and identify quality issues or performance gaps.
• Monitor quality trends, data drift, and scoring metrics to improve annotation workflows.
• Conduct detailed quality audits to ensure accuracy and consistency across computer vision datasets.
• Review complex edge cases and establish clear quality standards for annotation decisions.
• Collaborate with Computer Vision and Data Operations teams to improve quality pipelines.
• Perform production labeling tasks when critical project requirements arise.
• Document quality standards, decisions, and process improvements for internal teams.
Requirements:
• 2+ years of experience in data annotation, quality assurance, or related AI data operations roles.
• Experience reviewing and calibrating annotation work performed by other team members.
• Experience with Encord or similar enterprise annotation platforms such as CVAT, Labelbox, or SuperAnnotate.
• Knowledge of 2D and 3D annotation methods including bounding boxes, polygons, and masks.
• Strong attention to detail with the ability to identify inconsistencies and complex data issues.
• Excellent written and verbal communication skills.
• Ability to collaborate with global, cross-functional teams.
• Strong analytical thinking and problem-solving abilities.
• Strong knowledge of:
• Data annotation workflows, quality assurance processes, and AI training datasets.
• Computer vision labeling techniques and annotation platforms.
• Quality benchmarking, data validation, and performance evaluation methods.
Benefits:
• Medical, dental, and vision insurance.
• 401(k) retirement plan.
• Equity opportunities.
• Remote-first work environment.
• Opportunity to work with advanced Spatial AI and wearable technology.
• Collaborative culture focused on innovation, ownership, and professional growth.
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