Computer Vision Quality Analyst

Title : Computer Vision Quality Analyst

Location - New York, New York, 10007

Contract : 6 Months on W2

Prefer someone to come to the office 3 days in office. NYC

Analysis work experience, 3 years of experience

Job Summary

We are looking for a detail-oriented and technically savvy contractor to validate the results generated by our computer vision system, identify any discrepancies, and suggest improvements. The ideal candidate will have a strong understanding of computer vision, data analysis, and quality assurance. This role involves continuous monitoring of the system's performance, ensuring it meets defined thresholds, and contributing to the ongoing enhancement of the vision intelligence system

Key Responsibilities

• Data Labeling & Training Set Creation
• Create high-quality labeled datasets for training and fine-tuning machine learning models
• Annotate grocery shelf images with precise product locations, boundaries, and classifications
• Follow detailed annotation guidelines to maintain consistency across datasets
• Identify and label edge cases that can improve model robustness
• Participate in calibration exercises to ensure labeling quality and consistency
• Data Validation and Quality Assurance
• Review and validate computer vision system outputs against actual shelf images to ensure accurate inventory detection
• Document and categorize system errors or misidentifications in a structured format
• Create detailed reports on system accuracy, common failure modes, and suggested improvements
• Collaborate with the engineering team to provide insights for model refinement
• Maintain detailed documentation of validation processes and findings
• Dashboard Monitoring & Analysis
• Continuously monitor dashboards to ensure the vision system is operating within defined thresholds and parameters.
• Alert the development team to any issues or anomalies detected during monitoring.
• Analyze performance metrics to identify trends and areas for improvements
• Use data insights to inform improvements to the system and enhance overall performance.
• Help develop and refine labeling guidelines based on common scenarios and edge cases

Requirements

Preferred Qualifications