T3 Graduate labeler
video labelling
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Profile Overview I am a seasoned training data AI expert possessing practical experience as a T3 Graduate Labeler at Atlas. I have completed numerous data annotation projects of high quality to support machine learning and the development of large language models. Some of my experience involves annotating text, evaluating content, grading by prompt responses, categorizing, and quality assurance processes. Since I was a T3 labeler, I was expected to correctly label as well as ensure a high level of adherence to guidelines, check edge cases and be consistent across complex datasets. My good analytical knowledge, keen eye, and capacity to assess and analyze the changing annotation policies can enable me to provide accurate and consistent data during training that enhances model efficiency. Experience in data labeling / AI training. As a T3 Graduate Labeler in Atlas, I was working on the independent projects of high-order AI training, including natural language processing tasks, including intent classification, sentiment analysis, response ranking, safety assessment, and data validation. I engaged in dealing with subtle linguistic situations and ambiguity and policy-based moderation activities regularly. The work demanded critical thinking, precision in meeting of tight deadlines, and coordination with QA teams to improve on the standards of labeling. I have been exposed to working with big data, tracking productivity indicators, and responding to changed project demands in a short time-period, with quality output having to meet the desired model training goals.
video labelling
Bachelor of Engineering, Metallurgical and Materials Engineering
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