Annotation
Task involves comparing two AI generated videos to tell which of the videos has a better quality than the other.
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I am a detail-oriented Data Annotation Specialist with over five years of experience delivering high-quality labeled datasets for machine learning and AI applications. My expertise spans text, image, audio, and video annotation, supporting projects in diverse domains such as computer vision, natural language processing, e-commerce, healthcare, and autonomous driving. I am highly proficient with industry-standard tools like Labelbox and Amazon SageMaker Ground Truth, and excel at maintaining accuracy, consistency, and data integrity across large-scale projects. I thrive in collaborative environments, working closely with data scientists and engineers to refine annotation workflows, and I am committed to meeting deadlines while ensuring the highest quality standards in every project I undertake.
Task involves comparing two AI generated videos to tell which of the videos has a better quality than the other.
Task involves evaluating user prompt and AI generated images to ensure that the image generated aligns with the given user prompt.
Bachelor of Science (B.Sc), physics (Applied geophysics)
Bachelor of Science, Computer Science
Graphic Designer