We build the golden sets, write the rubrics, run the scoring, and hand back a measurement you can put in front of a review board — with agreement rates, drift tracking, and gates wired into your CI.
Raters across medicine, law, finance, engineering, code, and more
Work in your evaluation platform, internal tools, or custom workflows
Native speakers for multilingual and localized model evaluation
One programme, run end to end, rating model outputs accurately and consistently, at any scale, in any evaluation tooling.
Domain experts across medicine, law, finance, code, and more. Native speakers in dozens of languages. Scoped, staffed, and QA’d by us.
Our delivery team work inside your evaluation platform or internal tooling. You control access and permissions. Your data stays where it is.
Tools: Argilla • Label Studio • Custom
Built-in chat, instruction sharing, and everything you need to track delivery in one place. No separate apps required.
Pay our delivery team in any country from a single dashboard. You set the rates, we add a small fixed fee on top. No hidden costs, no chasing invoices.
We get a shortlist of qualified our delivery team ready to start working in your evaluation pipeline. What we deliver:
We agree the spec, run delivery inside your tools, and report quality on every batch.
Describe your evaluation criteria, required domains, and quality expectations. Receive proposals from our delivery team with relevant expertise.
We agree the spec, then run delivery inside your evaluation platform or internal workflows.
Share guidelines, message your team, and handle global payments from a single dashboard.
Send us a sample batch and we will come back with a spec and a quote.
A standing programme, run end to end, for continuous or large-volume work.
The largest network of AI training specialists, ready to work in any evaluation workflow.
Send us your first batch and get domain experts who can deliver reliable, high-quality assessments of your model's outputs.
Short answers to common questions about LLM evaluation on ReinforcedX.
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.
Typically within a week or two of a scope being agreed. The first delivery is deliberately a small batch so you can check the output against your expectations before volume ramps.
One process owner who knows the workflow, one engineer with access to the systems involved, and a weekly 45-minute review. No standing committee, and no requirement for an ML specialist on your side.
You do. Datasets, labels, weights, evaluation suites and runbooks are yours and are handed over at the end. Your data trains your models only, with zero-retention provider settings by default.
Yes, and the quality bar holds because the rubric and gold set are already agreed by that point. Ramping is a staffing question, not a re-scoping one, so it usually takes days rather than a new engagement.
Often you should not. The cases where teams move to us are when they cannot get a quality number out of their current vendor, or when the work is delivered as an opaque batch with no trace of how disagreements were resolved.
We stay on-call for 30 days at no extra cost, then move to an optional support retainer. Most teams also keep a quarterly evaluation review with us to catch drift early.
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