AI Data Annotation & Training Specialist – Text & Response Evaluation
I have hands-on experience in AI training and data labeling through high-precision evaluation and annotation tasks for large language models. Key responsibilities included: Carefully reviewing and rating AI-generated responses for accuracy, relevance, coherence, and adherence to strict user prompts (including tone, word count, and formatting constraints). Performing prompt-response writing, text summarization, question answering, and RLHF-style preference ranking to improve model alignment and reasoning capabilities. Annotating and categorizing text data while maintaining 98%+ consistency with project guidelines, filtering low-quality outputs, and identifying edge cases. Completing structured qualification assessments involving logical reasoning, factual verification, historical research with calculations, creative writing under constraints (e.g., 6-8 sentence stories), and precise data organization (e.g., sorting & filtering numerical sales data). This work sharpened my ability to deliver consistent, high-quality annotations that directly help frontier AI models become more reliable and useful. I am comfortable with both generalist tasks and more complex reasoning-heavy projects.