Hire Expert Annotators for Your Prodigy Projects

Since Prodigy runs on your own infrastructure, you control how annotators access it. Most teams share a URL to their hosted Prodigy instance with named sessions (using the ?session=annotator_name parameter). This lets each annotator work independently while you track contributions by session.

We have specialists for all the workflows Prodigy supports, including NER and span labeling, text classification, LLM evaluation, image annotation, and audio transcription. Whether you're building training datasets or running model evaluation, just specify your requirements when you post your job.

Yes. Many of our annotators have experience working in Prodigy, including navigating different annotation interfaces, following recipe-based workflows, and working with labeling schemas for NER, classification, and span tasks. Note your requirements in your job post and we'll match you with experienced candidates.

No. Prodigy runs entirely on your infrastructure, and your data stays there. OpenTrain handles hiring, communication, and payments only. We never access your Prodigy instance or annotation datasets.

OpenTrain charges a platform fee on top of what you pay your annotators. You set your own rates and pay only for completed work. No subscriptions or minimums.

Managed Service is for teams that need a dedicated annotation workforce without handling recruiting, training, and management themselves. We run end-to-end operations inside your Prodigy setup for large or ongoing annotation projects.