We are looking for a highly experienced PyTorch developer with 5+ years of hands-on experience in YOLO (You Only Look Once) and deep learning-based object detection. The ideal candidate should have a deep understanding of YOLO architectures (YOLOv4, YOLOv5, YOLOv8, etc.), model training, fine-tuning, inference optimization, and real-time object detection applications. Proficiency in PyTorch, OpenCV, TensorRT, and related deep learning frameworks is essential. Additionally, strong English writing skills are required to provide clear, structured, and well-explained feedback on AI-generated content. Prior experience with code reviews, model evaluation, or technical documentation is a plus. The task involves reviewing AI-generated prompts and responses related to YOLO and PyTorch. You will assess whether the AI-generated explanations, code snippets, and recommendations are technically accurate, aligned with best practices, and applicable to real-world object detection scenarios. This includes checking for model correctness, efficiency, data pipeline integrity, and inference optimization. Your feedback will help improve the AI's ability to generate high-quality responses, ensuring that developers relying on these outputs receive reliable, actionable, and best-practice-compliant solutions.
Total Budget
$125
Pay per Label
$25/hr
Time Requirement
Less than 20 hrs/week
Duration
1 month
PyTorch YOLO
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Hiring Type
Required Location
Workload / Schedule
Flexible schedule - Can start immediately
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Label Types
Subject Matter / Industry
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