The tester withdrew from the QA assignment after starting, and the spot was reopened for a replacement.
Data Labeling Specialist | RLHF, AI Response Evaluation & Annotation Quality Review
I’m a data labeling and AI training specialist with 2+ years of hands-on experience on Scale AI and a bachelor’s degree in Statistics. I help teams build reliable training datasets for large language models, computer vision, and NLP applications. My experience includes text classification, named entity recognition, intent labeling, image annotation, bounding boxes, polygons, and semantic segmentation. I also perform RLHF tasks and rank AI responses for accuracy, relevance, tone, safety, and instruction-following. I’ve completed more than 2,000 annotation tasks and consistently maintained quality scores above 95% on Scale AI. Beyond labeling, I review peer annotations, validate datasets, flag ambiguous cases, and contribute to calibration discussions. I’m comfortable following complex guidelines and adapting to changing requirements across medical, legal, coding, and general knowledge tasks. I bring careful attention to detail, strong analytical reasoning, and dependable remote collaboration to projects. I’m available for full-time, part-time, and contract annotation work.
Data Labeling & Annotation Specialist at Scale AI (2022 - Present) Freelance Data Annotation Contributor at Various AI Platforms (2021 - 2022)
The tester withdrew from the QA assignment after starting, and the spot was reopened for a replacement.