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FAQs About Hiring for Image Annotation
You can hire for bounding boxes, polygons, polylines, keypoints, landmarks, image classification, multi-label tagging, attribute labeling, and more. Whether you need object detection labels, fine-grained categorization, or per-image attributes, you can find experienced annotators in our network.
Yes. Many teams use model-assisted labeling workflows where predictions are imported as pre-labels and humans verify and correct them. You can hire Data Labelers specifically for pre-label review, QA, and correction tasks.
Data Labelers work directly in your stack. This includes platforms like Labelbox, Label Studio, CVAT, V7, SuperAnnotate, or any custom tooling you use. OpenTrain is tool-agnostic, so you invite hires to your own environment and maintain full control over access and data.
Quality control is managed by you and your team. Many clients hire QA reviewers alongside annotators, establish benchmark sets for calibration, and run consensus workflows for ambiguous cases. OpenTrain gives you the tools to communicate guidelines, share feedback, and manage your team from one place.
Pricing is set between you and the Data Labelers you hire. Rates vary based on annotation complexity, volume, and turnaround requirements. You can review proposals, compare rates, and negotiate directly. Payments are handled through OpenTrain with funds released upon your approval.
Direct hire gives you full control. You post a job, review proposals, hire Data Labelers, and manage the work yourself using OpenTrain's built-in tools. Managed service is for larger or ongoing projects where you want OpenTrain to handle recruiting, quality management, and delivery end-to-end. Request a quote to learn more.