Computer Vision Annotation Expert
Computer Vision Annotation Expert is an open role at Rise Data Labs, available remotely.
About this role
We are looking for computer vision experts to help annotate images and videos for training advanced AI models. This role involves working with diverse visual content to create high-quality training datasets. Responsibilities: • Annotate images and videos with bounding boxes, segmentation masks • Quality control for annotation accuracy • Develop annotation guidelines and standards • Train junior annotators • Collaborate with ML engineers on data requirements Qualifications: • MS/PhD in Computer Vision or related field • Experience with annotation tools (CVAT, Labelbox, etc.) • Strong understanding of object detection and segmentation • Python programming skills • Attention to detail and quality
Pay
Not disclosed
Rise Data Labs doesn’t publish a rate for this listing — it isn’t missing from our data.
About Rise Data Labs
Rise Data Labs's connection to Rise Data Labs: Direct AI training data platform. Data labeling, RLHF, text/image/audio/video annotation
Ownership confidence: Confirmed. See the full network profile →
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Frequently asked questions
How do I apply for the Computer Vision Annotation Expert role at Rise Data Labs?
Apply directly through Rise Data Labs's own application process — HumanSourcer links out to the listing and doesn't handle applications or hiring directly.
Is the Computer Vision Annotation Expert role at Rise Data Labs remote?
Yes — Rise Data Labs lists this role as remote.
What does the Computer Vision Annotation Expert role at Rise Data Labs pay?
Pay isn't publicly disclosed for this role by Rise Data Labs — check the source listing for current compensation details.
What kind of work is Computer Vision Annotation Expert?
Data annotation / labeling. Data labeling, RLHF, text/image/audio/video annotation
Is Rise Data Labs a legitimate AI-training platform?
Rise Data Labs's connection to Rise Data Labs: Direct AI training data platform. Ownership confidence: Confirmed — verified via www.risedatalabs.com.
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