PyTorch YOLO Developer Needed for AI Model Evaluation & Code Review

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.