Computer Vision Data Annotation & Person Detection Specialist (Bangalore, KA, IN, 560048)

<p><strong>Job Summary</strong></p> <p>We are seeking a detail-oriented <strong>Computer Vision Data Annotation &amp; Person Detection Specialist</strong> to support the development of AI/ML-based computer vision solutions. The role involves preparing, annotating, validating, and managing large-scale image and video datasets used for training person detection and object recognition models. The ideal candidate will work closely with Machine Learning and Data Science teams to ensure high-quality training data, improve model performance, and maintain dataset integrity across various real-world scenarios.</p> <p> </p> <p><strong>Key Responsibilities</strong></p> <p> </p> <p><strong>Computer Vision &amp; Person Detection</strong></p> <ul style="list-style-type:disc" type="disc"> <li>Prepare and manage image and video datasets for training computer vision models focused on person detection and object recognition.</li> <li>Perform accurate data annotation, image labeling, segmentation, and bounding box creation using annotation tools such as <strong>CVAT</strong>.</li> <li>Validate annotated datasets and conduct quality assurance checks to ensure data accuracy and consistency.</li> <li>Identify, analyze, and correct annotation errors to improve machine learning model performance.</li> <li>Organize and maintain structured datasets across diverse environments, lighting conditions, camera angles, and operational scenarios.</li> <li>Collaborate with Machine Learning Engineers, Data Scientists, and AI teams to support model training and evaluation activities.</li> <li>Ensure compliance with data quality standards, annotation guidelines, and documentation requirements throughout the data lifecycle.</li> <li>Support continuous improvement initiatives for camera-based surveillance, smart vision, and person detection systems.</li> <li>Maintain dataset tracking, version control, and documentation for efficient project management.</li> <li>Contribute to the optimization of annotation workflows and data preparation processes.</li> </ul> <p> </p> <p><strong>Required Skills &amp; Qualifications</strong></p> <ul style="list-style-type:disc" type="disc"> <li>Bachelor's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, or a related field.</li> <li>Experience working with computer vision datasets and annotation tools such as <strong>CVAT</strong>.</li> <li>Understanding of Computer Vision concepts including: <ul style="list-style-type:disc" type="circle"> <li>Object Detection</li> <li>Person Detection</li> <li>Image Classification</li> <li>Bounding Boxes</li> <li>Image Annotation</li> <li>Video Annotation</li> </ul> </li> <li>Knowledge of <strong>Machine Learning</strong> and <strong>Data Science</strong> fundamentals.</li> <li>Proficiency in <strong>Python</strong> for data processing and automation tasks.</li> <li>Strong attention to detail and commitment to data quality.</li> <li>Ability to work effectively in cross-functional AI/ML development teams.</li> </ul> <p> </p> <p><strong>Preferred Skills</strong></p> <ul style="list-style-type:disc" type="disc"> <li>Experience with image segmentation, object tracking, or dataset augmentation.</li> <li>Familiarity with deep learning frameworks and computer vision libraries.</li> <li>Knowledge of surveillance systems, smart camera applications, or video analytics solutions.</li> <li>Experience working with large-scale annotated datasets for AI model training.</li> </ul> <p> </p> <p><strong>Technical Skills</strong></p> <ul style="list-style-type:disc" type="disc"> <li>Python</li> <li>Machine Learning (ML)</li> <li>Computer Vision</li> <li>Data Science</li> <li>CVAT</li> <li>Image &amp; Video Annotation</li> <li>Dataset Validation</li> <li>Quality Assurance (QA)</li> <li>Object Detection</li> <li>Person Detection</li> </ul>