Data Annotator
Data Annotation & Labeling: Applying precise labels, tags, bounding boxes, or polygons to data (images, videos, text, audio) based on detailed project guidelines. Content Evaluation: Reviewing, rating, and providing feedback on search engine results, social media posts, and online ads. Data Collection & Generation: Creating text, recording audio, or filming short videos to train large language models (LLMs) and voice recognition systems. AI Training/Evaluation: Using ChatGPT or other AI models to evaluate responses, ranking them for quality, and identifying errors (Reinforcement Learning from Human Feedback - RLHF). Quality Assurance: Identifying patterns, anomalies, and errors in datasets, and suggesting refinements to guidelines to improve AI performance