Audio Annotation and Evaluation
I focused on audio data annotation tasks using the CrowdCompute Workbench. This involved reading prompts to the AI model, recording responses, and evaluating the model's spoken outputs. I assessed the clarity, accuracy, and contextual relevance of the audio data. Additionally, I evaluated both the spoken and written outputs to ensure high-quality and coherent responses. My work spanned multiple languages, including French, Portuguese, Spanish, and English, enhancing the AI's linguistic and auditory capabilities.