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 Now
Apply Now
• 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 Now
Apply Now