AI Training Data Entry and QA
OtherText
Conducted structured evaluation of AI model outputs, assessing pass/fail performance and identifying failure points. Performed data annotation and categorization of AI-generated text using predefined taxonomies and rubrics. Provided detailed structured feedback on model responses to guide further training and improvement. • Delivered adversarial testing to uncover logical errors and biases
• Utilized rigorous fact-checking for technical accuracy
• Applied consistent quality standards across multiple subject domains
• Produced clear, evidence-based written findings for model development teams
Conducted structured evaluation of AI model outputs, assessing pass/fail performance and identifying failure points. Performed data annotation and categorization of AI-generated text using predefined taxonomies and rubrics. Provided detailed structured feedback on model responses to guide further training and improvement. • Delivered adversarial testing to uncover logical errors and biases • Utilized rigorous fact-checking for technical accuracy • Applied consistent quality standards across multiple subject domains • Produced clear, evidence-based written findings for model development teams
2025 - Present