We staff AI training, RLHF and data annotation operations at scale — annotators, evaluators, and subject-matter reviewers sourced and screened for accuracy, consistency and domain expertise, for clients scaling AI training data pipelines globally.
Every trained model depends on a human layer most people never see — reviewers rating outputs, annotators labelling data, subject-matter experts checking accuracy. We build that layer for AI companies at whatever scale a training pipeline needs, from a focused pilot team to a large, multi-region operation.
Because this work is judged on consistency as much as skill, we screen for exactly that: attention to detail, ability to follow evolving guidelines precisely, and — where a project calls for it — genuine subject-matter depth, whether that's a technical domain, a language pair, or a specialised knowledge area.
Precise, guideline-driven annotation across text, image, audio and video data.
Reviewers who rate and rank model outputs to support reinforcement learning from human feedback.
Domain specialists — technical, medical, legal, linguistic and more — who validate model outputs for accuracy.
Team leads who maintain labelling consistency and manage evolving project guidelines at scale.