YOLOv7 Expert AI Code Reviewer

The work

You will review AI-generated prompts and responses about YOLOv7, a real-time object detection model. Your feedback will help make the AI’s code and technical recommendations more accurate, efficient, and useful in real projects.

• Check whether explanations, code snippets, and recommendations are technically correct.
• Review code for efficiency, best practices, and correctness.
• Assess model accuracy, inference speed, and deployment feasibility.
• Provide clear, structured, and detailed feedback in English.
• Review topics such as training, fine-tuning, dataset preprocessing, anchor box optimization, model quantization, and edge-device deployment.

What it pays and takes

The role is listed as entry level, while the description asks for substantial hands-on experience. Candidates should review the requirements carefully before applying.

• Pay: $30 per hour.
• Time: Less than 20 hours per week.
• Work arrangement: Part-time contract.
• Location: India only.
• Language: English writing skills required.
• Experience: At least 5 years of hands-on experience in object detection, deep learning, and real-time computer vision applications.
• Technical skills: YOLOv7 training, fine-tuning, and optimization; PyTorch; image augmentation; mAP, IoU, and FPS metrics; and real-time inference acceleration.
• Deployment knowledge: TensorRT, ONNX, or OpenVINO for edge devices.
• Helpful background: Code reviews, debugging, and technical documentation.

How it works

Apply on OpenTrain. The employer reviews applications there.

About AI training work

AI training work uses human feedback to improve systems that generate code, text, images, and other outputs. OpenTrain connects people with this work, including specialist roles where subject-matter experts check whether AI responses are accurate and useful.