
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.
Estimated Total Earnings
$300.00
Fixed Price
$1,200.00
Time Requirement
20+ hrs/week
Duration
1 month
8,000 refinery frames with partial auto-annotations
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Hiring Type
Required Location
Workload / Schedule
Expected weekly commitment is under 20 hours. Project duration is expected to be under 1 month. Labelers should follow milestone deadlines and quality checkpoints.
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Data Type
Task Types
Subject Matter / Industry
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