Multilingual Translation Evaluation (EN–ES–IT)
Evaluated and rated AI-generated translations from audio and video content in English, Spanish, and Italian across diverse real-world datasets. Applied multi-dimensional quality criteria, including accuracy, fluency, cultural appropriateness, and context preservation. Detected critical issues such as mistranslations, loss of meaning, and inconsistencies across languages. Contributed to improving multilingual AI model performance through structured evaluation and feedback. Worked with diverse real-world content, demonstrating strong cross-lingual understanding and attention to detail.