AI Training
Worked on AI data annotation and labeling projects involving text, image, and content evaluation tasks. Responsibilities included data categorization, sentiment analysis, relevance assessment, content moderation, and quality review according to project guidelines. The project involved processing large datasets while maintaining consistency, accuracy, and adherence to annotation standards. Quality measures included regular self-review, guideline compliance checks, and maintaining high accuracy rates to ensure reliable training data for AI models.