Hire Experts Who Verify AI Reasoning Step by Step

You can hire for step-level correctness labeling, first-error identification, logical consistency checks, mathematical accuracy verification, relevance assessment, and domain-specific reasoning review. Whether you need training data for process reward models, verification of chain-of-thought outputs, or quality checks on reasoning traces, you can find experienced specialists in our network.

Yes. Many verification tasks require subject matter expertise to accurately judge whether a reasoning step is valid. You can hire domain specialists in math, code, science, finance, legal, medical, and other fields. They work alongside generalist reviewers or on specialized verification where domain knowledge is essential for catching subtle errors.

You define the rubric and review process. OpenTrain gives you the tools to share labeling guidelines, run calibration sessions, and communicate with your team. Many clients hire calibration reviewers or QA leads alongside primary reviewers to measure inter-rater agreement and resolve edge cases.

Reviewers work directly in your systems. This includes annotation platforms, custom labeling interfaces, or your own internal pipelines. OpenTrain is tool-agnostic, so you invite hires to your environment and maintain full control over access, data, and security.

Pricing is set between you and the reviewers you hire. Rates vary based on domain complexity, required expertise, and volume. You can review proposals, compare rates, and negotiate directly. Payments are handled through OpenTrain with funds released upon your approval.

Yes. For large or ongoing process supervision projects, OpenTrain can handle recruiting, onboarding, calibration, quality management, and delivery end-to-end. You get a dedicated team working inside your tools without the operational overhead.