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Candidates must have experience in image annotation, attention to detail, and familiarity with industrial or manufacturing data. Ability to recognize errors in auto-annotated frames and a commitment to maintaining high quality in labeling is essential. Previous exposure to similar annotation tasks or industrial imagery is highly preferred. You will review frames, identify and correct inaccurate or missing annotations, and ensure that all images meet required labeling standards. The work demands a methodical approach to reviewing and updating auto-generated annotations in a large-scale dataset extracted from refinery environments.