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Evaluation/Rating- Beginner stage: I'm at the entry point of AI work, focusing on foundational tasks. - Data labelling: My main role is annotating datasets — marking images, text, or audio so models can learn patterns. - Hands-on exposure: I'm gaining practical experience with how AI systems are trained, even if I'm not yet building models myself. - Skill-building: I'm developing attention to detail, consistency, and an understanding of how labelled data impacts model accuracy. Growth Path Ahead - Learning basics: I'll like to Strengthen my knowledge of machine learning concepts. - Exploring tools: Try beginner-friendly platforms like Teachable Machine - Small projects: Experiment with simple classification tasks (e.g., image recognition). - Career progression: I'll like gradually Move from labelling into model training, evaluation, and eventually deployment.
TextEvaluation/RatingThe text Labels were broken into segments of a video. Every segment I audited what the ai thought what was going on in the video. I was restricted from using number figures and words like check, observe or reach.
B.Eng, Electrical/Electronics Engineering
Intern
