Label scratches, cracks, pits, blemishes, missing surfaces, and discoloration in 20MP smartphone screen photos. This flexible, entry-level contractor role offers less than 20 hours per week at $2 per hour.
Image & Video Annotation
$2/hr
Compensation
Worldwide
Eligibility
Entry
Experience
Nov 14, 2025
Posted
Open worldwide
OpenTrain AI is the hiring and contracting organization for this remote project. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, helping contributors discover projects, build experience, and apply to work shaping modern AI systems.
AI training is the human work behind modern artificial intelligence. Contributors prepare visual examples by identifying and precisely marking objects, surfaces, and defects so AI systems can learn to recognize them accurately.
As a Smartphone Screen Surface Defect Annotator, you will work on a 200-image-sized dataset of 20 Megapixel photographs showing the front surfaces of smartphone devices. Your task is to use segmentation annotations to highlight every area containing a surface defect.
Pre-annotations are provided to support the labeling process. The work is focused on producing precise defect boundaries while preserving the distinction between damaged areas and the surrounding background.
You will review smartphone screen photos and annotate all visible areas affected by defects. Defect examples include scratches, pit-defects, blemishes, missing surfaces, cracks, and discolored areas.
Annotations should include all pixels belonging to each defect while excluding background pixels as much as possible. Careful boundary placement is central to the quality of this dataset.
This is an entry-level project with no additional requirements listed. You should be comfortable reviewing images and creating precise segmentation annotations in Label Studio.
Image annotation can be a flexible way to enter the AI industry without requiring extensive prior experience. Remote projects often allow contributors to fit work around their existing schedule while directly helping improve how AI systems understand visual information.
Apply through OpenTrain to get started with this smartphone refurbishment data project and contribute to the development of more capable computer vision systems.
Keep exploring
Help train AI to understand clickable objectives in video game screenshots by drawing precise polygons around target objects. This remote, entry-level contract project pays $8 per hour for less than 20 hours per week.
Posted Jul 23, 2024
Join a remote, entry-level image annotation project labeling one target class per image with polygon segmentation in CVAT. Use Segment Anything when helpful, then manually correct results for accuracy.
Posted Aug 25, 2025
Use your hand anatomy and motion expertise to annotate precise hand and finger landmarks for AI training. This remote, part-time contract pays $15-$80 per hour and requires no prior AI experience.
Posted Aug 14, 2026
Browse related job pages
Languages
