We get a curated shortlist from Staffed and managed by us. Deliver directly into your tools, or request a managed program for large projects.
ReinforcedX connects you with managed annotators and reviewers for any structured data labeling workflow. Scope a project, get a curated shortlist, and commission directly into your tools.
No migrations. You keep control.
Deliver from the #1 network for our delivery team and our annotation team. We bring managed experts into any tool you use.
Create your account and reach Staffed and managed by us. Review your shortlist, commission into your tools, and pay with simple, transparent fees.
2,184 Batches in review
Radiologist • 5+ Years • English
Label Studio • 6+ Years • English
Scope a project, commission managed annotators, and start data labeling work in days.
Describe your data labeling project and requirements. Our AI matches you with annotators from the network, then screens resumes, tests skills, and runs interviews. You get a shortlist of qualified batches ready to commission.
Deliver directly and invite your team into any annotation platform, labeling tool, or custom environment. You keep full control over setup and workflow.
Use one workspace for messaging, instructions, training materials, progress tracking, and secure batch approvals. Production moves faster when everything is in one place.
Create an account, post your role, and get matched with qualified annotators from 60,000+ experts. Deliver directly into your tools.
For large or complex work, we staff, onboard, manage, and QA a dedicated team inside your tools.
Three ways to work with us, from a single batch to a standing programme.
Send us the spec and we scope the work, agree the quality bar, and start delivering. We run inside the tools you already use, so output lands where your team works.
We staff, run, and QA the whole programme inside your tools. End-to-end operations for large or complex projects.
Keep a standing delivery pipeline running against your roadmap, with quality reported every week.
We design the workflow, build the agent and the evaluation around it, run it in shadow mode against real traffic, then hand it over with a runbook. You end up owning a running system for structured data labeling plus the evidence it works, not a proof of concept that needs rebuilding.
Four weeks is the standard implementation: discovery in week one, environments in week two, a shadow-mode pilot in week three, handover in week four. Most teams see their first agent running against real data by week three.
No. Most clients start with strong software engineers and no ML specialists. The engagement is built so your existing team owns the system afterwards — we train them while we build rather than handing over documentation at the end.
Every system ships with an evaluation suite: golden datasets built from your real cases, rubric-driven scoring, and regression gates in CI. Quality becomes a number you track per release rather than an opinion, and drift pages you the way a failing test would.
Low-confidence and high-stakes cases route to a human queue by design. Every failure is captured with full trace context, and those traces become new evaluation cases, so the same mistake is caught automatically next time rather than recurring.
Yours. Deployment happens inside your cloud perimeter, against your data stores and your identity provider. We integrate with the stack you already run rather than asking you to move anything into ours.
You do. Fine-tuned weights, datasets, evaluation suites and runbooks are yours, handed over at the end of the engagement. There is no lock-in that requires us to keep the system running.
A platform subscription plus a fixed-scope implementation fee, quoted in writing before work starts. Implementation is priced by engagement rather than by the hour, so a slower week costs you nothing extra.
Most failures are not model failures — they are missing evaluation, no human fallback, and no way to tell whether a change made things better. Those are the parts we build first. If we cannot define how success is measured for structured data labeling, we say so before taking the work.
One process owner who knows the workflow end to end, one engineer with access to the systems being integrated, and a weekly 45-minute review. That is genuinely it — no standing project committee.
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