labeler
Conducted audio rating tasks by evaluating and scoring audio clips for quality, authenticity, naturalness, and guideline compliance to support speech recognition, voice AI, and multimodal model training.
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I am a results-driven professional with a B.Sc. in Biology and extensive hands-on experience in AI data annotation and evaluation across diverse domains, including computer vision, speech recognition, content moderation, and e-commerce. My background includes annotating and evaluating text, audio, and video data, with a strong focus on labeling fine-grained human actions for robotics and embodied AI. I have handled tasks such as video submission and assessment, audio quality rating, and precise action segmentation using tools like Google Sheets and Microsoft Office. My experience also extends to customer support and community management, giving me a strong foundation in communication, teamwork, and attention to detail—skills that are essential for producing high-quality training data for AI models.
Conducted audio rating tasks by evaluating and scoring audio clips for quality, authenticity, naturalness, and guideline compliance to support speech recognition, voice AI, and multimodal model training.
Handled video submission and evaluation tasks, recording/submitting clips and assessing video content per project guidelines to contribute to computer vision, content moderation, and multimodal AI datasets.
Bachelor of Science, Biology
Community Manager
Customer Support Trainer