Data Labeling / AI Training Experience
Multilingual Translation Evaluation (English–Turkish–Russian): Reviewed and refined machine-generated translations to ensure fluency, cultural accuracy, and natural expression. Annotated errors and provided corrections to improve AI model outputs. Text Classification & Annotation: Labeled sentences and phrases according to sentiment, intent, and style to support natural language processing tasks. Focused on maintaining consistency and accuracy across multilingual datasets. Proofreading & Quality Assurance for AI Outputs: Evaluated AI-generated texts for grammatical correctness, idiomatic usage, and contextual appropriateness. Delivered structured feedback to enhance model performance.