We are seeking a detail-oriented Computer Vision Data Annotation & Person Detection Specialist 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.
Key Responsibilities
Computer Vision & Person Detection
- Prepare and manage image and video datasets for training computer vision models focused on person detection and object recognition.
- Perform accurate data annotation, image labeling, segmentation, and bounding box creation using annotation tools such as CVAT.
- Validate annotated datasets and conduct quality assurance checks to ensure data accuracy and consistency.
- Identify, analyze, and correct annotation errors to improve machine learning model performance.
- Organize and maintain structured datasets across diverse environments, lighting conditions, camera angles, and operational scenarios.
- Collaborate with Machine Learning Engineers, Data Scientists, and AI teams to support model training and evaluation activities.
- Ensure compliance with data quality standards, annotation guidelines, and documentation requirements throughout the data lifecycle.
- Support continuous improvement initiatives for camera-based surveillance, smart vision, and person detection systems.
- Maintain dataset tracking, version control, and documentation for effective project management.
- Contribute to the optimization of annotation workflows and data preparation processes.
Required Skills & Qualifications
- Bachelor's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, or a related field.
- Experience working with computer vision datasets and anno
📌 Computer Vision Data Annotation (India)
🏢 AMETEK
📍 India