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.
Image & Video Annotation
$8/hr
Compensation
Worldwide
Eligibility
Entry
Experience
Jul 23, 2024
Posted
Open worldwide
OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI is hiring contractors for remote projects that help shape how modern artificial intelligence understands visual information.
AI training is the human side of building artificial intelligence. Contributors prepare and review examples, such as annotated images and screenshots, so AI systems can recognize objects, interpret instructions, and respond more accurately.
OpenTrain AI is seeking an entry-level image annotator to create polygon annotations for approximately 1,000 video game screenshots. Each screenshot presents an objective that requires clicking on an object, such as a door in a house and garden scene.
You will use the written objective to identify the correct target and draw a polygon covering all acceptable points where a player could click to complete that objective. The labeling software for this project is Labelbox.
Your annotations will help represent the full clickable area of an object rather than only a single point. Accuracy and careful attention to the image and accompanying instruction are important for producing useful training data.
This is an entry-level project. No specific skills or prior experience are listed as required. Experience playing video games may be helpful when interpreting objectives and recognizing how clickable areas work.
This opportunity is offered as part-time contract work through OpenTrain AI. The project is remote and available worldwide.
Create a free account on OpenTrain, build your profile, and apply to this project in minutes. By contributing accurate polygon annotations, you can gain experience in the growing field of AI training while working remotely on flexible, visual data tasks.
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