Annotation Data Engineer

• Annotation Data Engineer
• Dallas, TX/Remote Orlando, FL
• Must Have Technical/Functional Skills
• Demonstrated experience in annotation quality, machine learning data operations, quality engineering, or data quality supporting physical AI, robotics, computer vision, or machine learning programs.
• Demonstrated experience developing quality metrics and performance measurement systems.
• Demonstrated experience working with large-scale annotation programs.
• Demonstrated experience evaluating generated captions, reasoning outputs, or foundation model training datasets.
• Experience defining annotation instructions, sampling plans, acceptance criteria, defect taxonomies, and audit processes.
• Ability to analyze quality trends, identify root causes, and coordinate corrective actions.
• Working knowledge of SQL, Python, reporting, or data analysis tools used for quality measurement.
• Roles & Responsibilities
• Define and maintain annotation quality standards, guidelines, defect categories, and acceptance criteria.
• Develop metrics and reporting for accuracy, consistency, completeness, rework, throughput, and reviewer agreement.
• Design sampling, audit, escalation, and root-cause analysis processes for large-scale annotation programs.
• Evaluate generated captions, reasoning outputs, and foundation model training datasets against defined quality criteria.
• Analyze quality trends and partner with annotation operations, engineering, and AI teams on corrective actions.
• Validate dataset releases and maintain traceable quality records, issue logs, and improvement plans.
• Support calibration sessions, reviewer alignment, and continuous improvement of annotation workflows.
• Generic Managerial Skills, If Any
• Strong attention to detail, analytical thinking, process discipline, stakeholder communication, and ability to influence quality improvements across teams.

None flagged.