Quality assurance process

Project Setup & Management · AI Companies · Updated

Every engagement includes a multi-layer quality process for the evaluators we staff onto your project:

  • Evaluator calibration — Before live work begins, evaluators complete calibration tasks against gold-standard examples. Only those who meet the quality threshold proceed.
  • Inter-annotator agreement — We track agreement rates across evaluators on your project. If agreement drops below your target, we investigate and recalibrate the team.
  • MBA-level QA layer — For larger engagements, a senior QA team audits evaluator output, checks rubric adherence, and flags inconsistencies before work is returned to you.
  • Client feedback loops — You review sample batches and provide feedback. We incorporate it into evaluator training before scaling the team.

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