Location: NYC - hybrid

Duration: 6 month contract

Pay: $49/hr

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

- Analyze data from the computer vision system to identify patterns, trends, and potential issues.

- Use data insights to inform improvements to the system and enhance overall performance.

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

- Help develop and refine labeling guidelines based on common scenarios and edge cases

Required Qualifications

- Strong data analysis skills to interpret test results, identify trends, and validate the effectiveness of the computer vision system

- Proficient in data analysis, visualization, and reporting tools (e.g., Tableau, Power BI, Qlikview etc.)

- Ability to interpret performance metrics, identify trends, and draw actionable insights

- Proficiency in common office productivity tools (e.g., Google Suite, Microsoft Office)

- Strong skills in Microsoft Office, particularly Excel and Word, for data analysis, visualization, and documentation

- Excellent written and verbal communication skills

- Proficiency in standard office software and data entry tools

Preferred Qualifications

- Experience with computer vision systems or machine learning models

- Experience with task automation, scripting, and workflow management

- Experience working with image annotation and data labeling tools (e.g., LabelImg, RectLabel, Roboflow)

- Comfortable working with version control systems (e.g., Git)

- Familiarity with retail or grocery operations and knowledge of inventory management systems

What Success Looks Like

- Maintain a 95%+ accuracy rate in validation tasks

- Provide actionable feedback that leads to measurable system improvements

- Consistently meet daily/weekly validation quotas

- Identify and document new edge cases that can improve model training