AI Training & Data Annotation Specialist
Text
The role involved evaluating AI-generated responses for clarity, relevance, and correctness across diverse datasets. Ranking and comparing model outputs using structured guidelines were primary tasks to improve machine learning model performance. Ensured accuracy and consistency in large-scale annotation projects.
• Conducted detailed AI output assessments focusing on accuracy and relevance.
• Applied structured evaluation guidelines for model output ranking.
• Annotated and labeled large text datasets for quality improvement.
• Maintained high consistency and attention to detail in annotation workflows.
The role involved evaluating AI-generated responses for clarity, relevance, and correctness across diverse datasets. Ranking and comparing model outputs using structured guidelines were primary tasks to improve machine learning model performance. Ensured accuracy and consistency in large-scale annotation projects. • Conducted detailed AI output assessments focusing on accuracy and relevance. • Applied structured evaluation guidelines for model output ranking. • Annotated and labeled large text datasets for quality improvement. • Maintained high consistency and attention to detail in annotation workflows.
2024 - Present