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Video
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Segmentation
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Text Generation
TranscriptionIn my four months as a tier 3 labeler with atlas, i gained experience working on complex edge cases and high priority data that required deeper judgement beyond standard annotation guideline. My role involved validating, correcting and escalating ambiguous labels, often serving as a bridge between frontline labelers and project managers to maintain quality consistency. This experience taught me how small labeling errors can compound into model performance issues,reinforcing the importance of precision and domain specific rule adherence, handling tier 3 tasks also required efficient time management and the ability to make quick, defensible decisions under quality pressure. Ultimately, i saw firsthand how structured human feedback turns raw data into reliable training signals.
VideoSegmentationQuality assurance and tier 3 reviewer served as a quality reviewer,reviewing and validating annotated datasets to ensure consistency, accuracy, and compliance with project rubrics. identified and corrected labeling error, flagged ambiguous or incorrectly tagged data and escalated complex edge cases that fell outside standard guidelines.
undergraduate, aquaculture and fisheries
fish breeder
