AI Model Training & Data Annotation Specialist
Performed comprehensive data annotation and AI model evaluation across multiple platforms, including text-based tasks such as evaluating and ranking AI-generated responses for accuracy, relevance, and coherence; conducting RLHF (Reinforcement Learning from Human Feedback) to improve language model outputs; and categorizing content for sentiment analysis and intent classification. Executed image annotation tasks including object detection with bounding boxes, semantic segmentation for computer vision applications, and visual content categorization. Applied domain expertise in STEM fields to validate scientific accuracy of AI outputs, fact-check technical content, and provide detailed feedback on mathematical, biological, chemical, and physics-related responses. Maintained strict quality standards with 95%+ accuracy ratings, processed 100+ tasks weekly across various project types, and consistently met platform-specific guidelines and quality benchmarks while adapting to evolving task