AI Training Data Annotator
Worked as an AI training data annotator across multiple projects in collaboration with several companies, focusing on improving the performance and reliability of AI models. Responsibilities included annotating and evaluating text and audio data, comparing model outputs, and performing detailed quality assessments. Contributed to projects in mechanical engineering applications, text-to-speech (TTS) systems, and multilingual language evaluation. Conducted linguistic quality checks and model benchmarking in Persian, English, and Italian, ensuring accuracy, consistency, and naturalness of outputs. Applied structured annotation guidelines and delivered high-quality datasets to support model training, fine-tuning, and validation processes.