
Applicants should have strong attention to detail and be able to follow labeling guidelines consistently. Basic computer skills and comfort using online tools are required, along with good English communication for collaboration and clarity. Prior experience with data annotation, image labeling, or AI datasets is helpful but not mandatory. Contributors will review furniture and household item images, classify objects into predefined categories, and ensure labeling consistency across the full set. They will flag unclear or low-quality images for review and work with the team to maintain high annotation quality throughout the project.
$500
$500
Flexible
< 1 month
Furniture and household item images (15,000–20,000) to label.
Software
Hiring Type
Required Location
Workload / Schedule
Flexible schedule; expected workload not specified. Contributors should be able to sustain consistent labeling and quality checks across the full image set.
Software
Data Type
Task Types
Subject Matter / Industry
Language
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