QA Lead Computer Vision (Ground Truth Validation)

Role Overview: As a Test Lead for computer vision projects focusing on Ground Truth validation, you will be responsible for managing the QA efforts. Your role will involve leading the testing activities for ML model outputs, annotated datasets, and visual recognition systems. You should be hands-on, detail-oriented, and capable of ensuring the accuracy and consistency of Ground Truth data. Key Responsibilities: - Lead test planning, execution, and reporting for CV/ML pipelines - Validate annotations and Ground Truth data to maintain accuracy and consistency - Coordinate with data labeling teams and ML engineers to ensure smooth workflows - Develop and manage test cases to evaluate model accuracy, precision, and edge cases - Ensure the delivery of high-quality datasets and outputs Qualifications Required: - Minimum of 4 years of experience in QA/testing, with at least 2 years dedicated to Computer Vision or ML projects - Proficiency in Ground Truth validation workflows - Familiarity with image annotation tools such as Labelbox, CVAT, VGG - Strong attention to detail and analytical thinking skills - Excellent communication and leadership abilities Additional Company Details: The company is seeking an experienced Test Lead to oversee QA activities for computer vision projects, specifically focusing on Ground Truth validation. The ideal candidate should have a strong background in Computer Vision or ML projects, possess excellent communication skills, and be able to collaborate effectively with cross-functional teams.,