Image annotations
Annotated images with a high quality threshold of 3.0 surpassing the 2.0 target.
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Below you'll find an executive summary of my professional background as a data labeler and AI trainer based on your CV: Highly analytic and organized Broadcast and AI Media Evaluation Specialist with solid experience in technical content evaluation, verification, and quality assurance. With a PhD in Cinema & Media Studies and well-developed technical skills, I have excellent expertise in precise remote and asynchronous data evaluation requiring attention to minute details. I am skilled in signal analysis, quality assurance, and troubleshooting patterns; thus, I efficiently evaluate naturalness of synthetic data, detect audio/video artifacts, and provide practical recommendations to align data with requirements. What makes me unique is that I combine solid academic knowledge of media technology workflows with strong skills in troubleshooting technical issues. With great experience working in very strict structured data environment, I efficiently analyze, structure, and optimize quality assurance process to ensure high-precision AI-generated dataset training. Solid background allows me to quickly learn complicated annotation criteria, enabling me to make AI-generated media models correspond with human standards.
Annotated images with a high quality threshold of 3.0 surpassing the 2.0 target.
Bachelors in Music Technology, PhD in Cinema & Media Studies
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