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FAQs About Hiring for Document Annotation
Every AI Trainer is screened for annotation accuracy, attention to detail, and ability to follow complex guidelines. We assess their familiarity with document types, annotation schemas, and industry terminology. For specialized projects, you can request candidates with specific domain backgrounds in finance, legal, healthcare, insurance, or other fields.
You can hire AI Trainers for entity extraction, table annotation, Q&A pair generation, citation verification, clause identification, human-in-the-loop review of model outputs, and more. Most teams hire for a mix of these depending on their training pipeline.
Our network covers a wide range of document types, including contracts, SEC filings, financial statements, insurance claims, medical records, invoices, regulatory filings, and more. Trainers have real-world experience with the documents and terminology your models need to understand.
AI Trainers can work in any annotation platform or document pipeline you provide access to. This includes Label Studio, Labelbox, Argilla, Datasaur, or your own custom tooling. OpenTrain is tool-agnostic, so your setup stays exactly where it is.
It's free to post jobs and get started. We only charge a flat platform fee on top of the payments you send to the AI Trainers you hire. You set your own rates and hire directly. For detailed pricing, visit our pricing page.
Managed Service is for teams with large or ongoing document annotation projects who want end-to-end support. We recruit, onboard, and manage a dedicated team inside your tools, handling operations so you can focus on your models.