AI Quality Auditor
Transcription of audios, and rating descriptions of different models.
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I am a detail-oriented professional with hands-on experience in data annotation and quality analysis for AI training data. In my roles as a Data Annotator and Quality Analyst at Hugo Technologies, I have labeled diverse datasets and ensured their accuracy, relevance, and integrity, directly contributing to the performance of AI models. My work involves using annotation tools, following project guidelines, and collaborating closely with auditors to deliver high-quality, ethical, and safe data outputs. I am skilled in Microsoft Office, Google Suite, Figma, and various communication platforms, allowing me to efficiently manage and review large volumes of data. My strong analytical, organizational, and communication skills enable me to work effectively within teams and consistently deliver reliable results that enhance machine learning projects.
Transcription of audios, and rating descriptions of different models.
Description of images, videos and audios, and rating descriptions of different models.
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Labelling of image, describing image, and rating image descriptions of different models
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