Annotations For Computer Vision Dataset
We’re developing a computer vision dataset and are looking for a skilled image annotator (or small team) to assist with labeling pose keypoints on people in sports imagery.
You’ll be using an AI-assisted annotation tool (such as Hasty.ai) to accelerate the process. Over time, the model should learn from your annotations, making future work faster and more efficient.
Scope:
Annotate ~400–500 high-resolution images
Apply a fixed number of keypoints to each subject (consistent structure across images)
Use AI-assist tools to pre-label or accelerate labeling
I will provide:
Initial sample annotations
Guidance on labeling structure
Ongoing feedback and quality review
Requirements:
Experience in image annotation, especially keypoints or landmarks
Familiarity with AI-powered annotation platforms (e.g., Hasty.ai, Labelbox, SuperAnnotate)
Attention to detail and consistency
Willingness to collaborate and iterate
Compensation:
Fixed project (~$2000) preferred, with opportunity to increase based on performance
Open to milestone-based breakdowns
Opportunity for Ongoing Work:
This is a pilot round. Success here could lead to future batches, with your role evolving into QA lead or supervisor as we scale and automate more of the labeling process.
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