Biometric Data Annotator | Reviewer | Data Quality

Description: • We are looking for a Data Quality Assurance to join our Biometric Team. • The ideal candidate will play a crucial role in ensuring high quality datasets for training and evaluating our biometric models. • You will be responsible for reviewing, labeling, and categorizing biometric scans (RGB, IR) and identifying rejected scans, spoofs, duplicates, and IR specific data. • You will assist in generating datasets under specific conditions to enhance model robustness. • Label biometric scans (RGB and IR), including rejected scans, spoofs, and duplicate enrollments. • Review and validate image data, ensuring high quality and accurate annotations for machine learning training. • Assist in testing new biometric releases and evaluating their performance. • Support data collection efforts, including capturing scans in various lighting and environmental conditions. • Collaborate with ML engineers and researchers to refine annotation guidelines and dataset quality. • Maintain detailed documentation of labeling criteria, dataset variations, and identified issues. Requirements: • Prior experience in data annotation, image labeling, or biometric data review. • Strong attention to detail and the ability to identify patterns in biometric data. • Familiarity with image analysis tools and annotation platforms. • Basic understanding of computer vision and machine learning concepts (preferred but not mandatory). • Ability to work independently and collaborate with teams remotely. • Strong organizational skills and ability to handle large datasets. • Experience working with biometric systems (e.g., fingerprint, face, palm, or iris recognition). • Understanding of spoof detection techniques in biometrics. • Exposure to Python and OpenCV for image processing (bonus). • Knowledge of data quality assessment techniques. • 1+ years of experience in data annotation, labeling, or biometric data analysis. • Bachelor’s degree in a relevant field (computer science, data science, or related) is preferred but not required. Benefits: • We have an inclusive, global, remote-first workplace that comprises people from all different lifestyles, backgrounds, abilities, and nationalities. • Keyo believes that the things that make us unique are our greatest strengths. • Keyo is undergoing SOC2 compliance, performs background checks, and provides security training to team members. Apply tot his job