We are looking for a highly experienced OpenCV and YOLO (You Only Look Once) developer with at least 5+ years of hands-on experience in computer vision, deep learning, and real-time object detection. The ideal candidate should have expertise in OpenCV for image processing, YOLO (v4, v5, v7, v8) for object detection, model training and optimization, and real-time inference acceleration using hardware like CUDA/TensorRT. A strong understanding of image preprocessing, feature extraction, bounding box regression, and deep learning frameworks (PyTorch/TensorFlow) is required. Additionally, excellent English writing skills are necessary to provide clear, structured, and well-explained feedback. Experience with code reviews, debugging, and technical documentation is a plus. The task involves reviewing AI-generated prompts and responses related to OpenCV and YOLO. You will assess whether the AI-generated code, explanations, and recommendations are technically accurate, efficient, and aligned with best practices in computer vision and deep learning. This includes verifying code correctness, performance optimization, proper use of OpenCV functions, and the effectiveness of YOLO models in real-world applications. Your feedback will help refine AI-generated responses, ensuring they provide accurate, optimized, and practical solutions for developers using OpenCV and YOLO in their projects.
Total Budget
$150
Pay per Label
$30/hr
Time Requirement
Less than 20 hrs/week
Duration
1 month
opencv (yolo)
Software
Hiring Type
Required Location
Workload / Schedule
Flexible schedule - Can start immediately
Software
Data Type
Label Types
Subject Matter / Industry
Language
Job Type
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