I need help annotating orthodontic X-ray images so they can train a machine-learning model that recognises tooth alignment issues. The job is part-time and fully remote; you will log in to my Labelbox workspace, follow the written guidelines I provide, and mark the specific landmarks and angulations that indicate malocclusion. The dataset is entirely X-rays—no 3D scans or photographs—so familiarity with radiographic anatomy is important. If you have experience tagging cephalometric points or measuring incisor inclination, you will feel right at home. Deliverables: • Consistently annotated images inside Labelbox, ready for export in JSON format • A brief note on any edge cases you encounter or guidelines that need clarification I will review the first small batch to be sure our interpretations match, then release the rest of the images to you in weekly milestones. Accuracy and consistency matter more than raw speed, but once you are comfortable with the protocol I expect a steady throughput. Let me know your relevant background and the number of hours you can commit each week.