AI Research & Data Specialist (Data Labeling & Model Evaluation)
Text
Reviewed, labeled, and validated large-scale textual datasets to enhance AI and LLM training processes. Consistently applied rigorous annotation standards and developed comprehensive scoring rubrics. Conducted structured evaluations for accuracy, relevance, safety, and tone across LLM model outputs.
• Led cross-functional collaboration to identify model weaknesses
• Ensured high-quality and guideline-compliant labeling
• Developed error analysis workflows for data improvement
• Authored and maintained annotation documentation
Reviewed, labeled, and validated large-scale textual datasets to enhance AI and LLM training processes. Consistently applied rigorous annotation standards and developed comprehensive scoring rubrics. Conducted structured evaluations for accuracy, relevance, safety, and tone across LLM model outputs. • Led cross-functional collaboration to identify model weaknesses • Ensured high-quality and guideline-compliant labeling • Developed error analysis workflows for data improvement • Authored and maintained annotation documentation
2015 - Present