AI Trainer & Data Annotation Specialist (Practical AI Projects)
TextLed AI evaluation and annotation activities on LLM-generated text to improve response quality, accuracy, and alignment with instructions. Performed rubric-based scoring, response rewriting, prompt testing, and error detection for AI models such as Claude, Claude Code, and ChatGPT. Applied guidelines for RLHF, red teaming, classification, and response evaluation across structured annotation projects. • Conducted detailed LLM response assessments using established rubrics and checklists. • Utilized prompt engineering and workflow design skills to create and refine AI outputs. • Implemented structured quality checks, error categorization, and bias/safety evaluation. • Collaborated on guideline clarification, documentation improvements, and process optimization.