Expert response review
Specialists check model answers in their field for correctness, reasoning quality and risk.
Human Evaluation for AI Models
Human evaluation of AI output, by people who know the subject
Automated metrics can't tell you whether a medical answer is safe or a proof is correct. One6 puts model output in front of domain experts — engineering, mathematics, medicine, law, finance, statistics, physics and more — and trained generalists who test prompts and review responses at scale.
What we deliver
Prompt testing
Contributors probe models with realistic and adversarial prompts and document where they fail.
Rating against your rubric
Structured scoring of responses against criteria you define, with reviewer calibration before scaling.
Data validation and content review
Human checks of datasets and generated content for accuracy, policy compliance and moderation.
Common use cases
- Measuring LLM quality in specialized domains before release
- Finding failure modes through human prompt testing
- Validating synthetic or generated training data
- Reviewing and moderating AI-generated content
How a project works
- 01
Scope
A short call to understand your model, data requirements, quality bar and timeline.
- 02
Pilot
A small first batch so you can review real output before committing to volume.
- 03
Scale
Once the pilot meets the agreed bar, we staff up and deliver in regular batches with ongoing QA.
Frequently asked questions
What kinds of experts are available?
We source specialists in fields including engineering, mathematics, medicine, law, research, finance, statistics and physics. Tell us the domain and level of expertise required and we'll confirm the reviewer profile during scoping.
How do you keep ratings consistent across reviewers?
Reviewers are calibrated on shared examples against your rubric before production work, and agreement is monitored throughout the project.
Related services
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- AI Training Data CollectionVoice, text, image, video and custom datasets collected from real people to your specification.
Planning a ai model evaluation project?
Tell us what your model needs. We'll come back with questions, a proposed approach and a pilot plan.