Data Labeling
2D/3D Data Labeling: Drawing boxes around objects (like cars, pedestrians, and obstacles) in images and videos to train self-driving cars and other smart technologies. LiDAR Annotation: Labeling 3D point cloud data to help AI understand spatial environments.Transcription: Converting audio or video files into text. Image Annotation/Categorization: Sorting, labeling, and identifying objects within images. Text Generation/Copywriting: Creating text data to train AI models in language processing. AI Model Evaluation: Reviewing and auditing the outputs of AI, where workers (reviewers) ensured accuracy, often aiming for high accuracy rates.