Job Title:  Computer Vision Data Annotation & Person Detection Specialist

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 efficient 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 annotation tools such as CVAT.
• Understanding of Computer Vision concepts including:
  • Object Detection
  • Person Detection
  • Image Classification
  • Bounding Boxes
  • Image Annotation
  • Video Annotation
• Knowledge of Machine Learning and Data Science fundamentals.
• Proficiency in Python for data processing and automation tasks.
• Strong attention to detail and commitment to data quality.
• Ability to work effectively in cross-functional AI/ML development teams.

Preferred Skills

• Experience with image segmentation, object tracking, or dataset augmentation.
• Familiarity with deep learning frameworks and computer vision libraries.
• Knowledge of surveillance systems, smart camera applications, or video analytics solutions.
• Experience working with large-scale annotated datasets for AI model training.

Technical Skills

• Python
• Machine Learning (ML)
• Computer Vision
• Data Science
• CVAT
• Image & Video Annotation
• Dataset Validation
• Quality Assurance (QA)
• Object Detection
• Person Detection