Evaluate
Review AI responses, conversations and model behavior against defined criteria.
Human judgment for production AI
Human Evaluation & QA for AI Teams
We review AI outputs, conversations, datasets and edge cases — so you don't have to build an internal human QA operation.
Up to 50 items free No contract Small batches welcome
Typical pilot turnaround: 24–48h
Some AI Problems Still Need Human Judgment
Automated metrics can measure a lot. But they don't always tell you whether an answer is genuinely useful, a conversation feels natural, an edge case was handled correctly, or a dataset label makes sense. GetHumanLayer adds structured human review where automation alone isn't enough.
Validate
Check datasets, labels, transcripts, classifications and generated outputs.
Improve
Turn structured human feedback into signals your team can act on.
Services
What We Can Review
AI Output Evaluation
Review LLM and generative AI outputs for correctness, relevance, instruction following, usefulness and tone.
Voice & Conversation QA
Review voice agents, calls, transcripts and conversational flows for failures, awkward interactions and edge cases.
AI Agent QA
Evaluate whether agents choose appropriate actions, follow instructions and complete intended workflows.
Dataset Validation & Annotation
Classification, labeling, validation and quality control for text, images and multimodal datasets.
Preference & Comparison Tasks
Human ranking and comparison of outputs, prompts, models or model versions for evaluation workflows.
Edge-Case Review
Manually inspect uncertain, unusual or high-value cases where rules or model confidence are insufficient.
Use cases
Built Around Real AI Workflows
Voice AI
Your agent handles thousands of conversations, but you need humans to review failures and identify patterns automation misses.
Conversation quality · transcript accuracy · incorrect actions · unresolved calls
LLM Applications
You need to know whether generated answers are actually good—not just whether they pass automated checks.
Correctness · relevance · instruction following · completeness · tone
AI Customer Support
Check whether automated support interactions genuinely solved the customer's problem.
Resolution quality · hallucinations · escalation decisions · policy adherence
AI Agents
Evaluate multi-step agent behavior and identify where the workflow breaks down.
Tool selection · action correctness · workflow completion · observable outcomes
Training & Evaluation Data
Create or validate structured data for training, fine-tuning and evaluation workflows.
Classification · annotation · validation · preference ranking · dataset QA
Custom Human Review
If your workflow requires judgment that is difficult to automate reliably, we can design a review process around it.
Your criteria · your examples · your agreed output format
Illustrative example
What a Project Can Look Like
Example: Voice Agent QA
You send
100 conversation transcripts and your evaluation criteria.
We review
- Did the agent understand the user?
- Was the answer appropriate?
- Did it complete the requested action?
- Was escalation needed?
- What caused the failure?
You receive
Structured results with labels, review notes and identified failure cases in an agreed format.
Your workflow can be completely different — this is just one example.
Working with us
Why GetHumanLayer?
Start Small
Test the workflow on up to 50 items before committing to a larger project.
Built Around Your Criteria
We review against your definitions of quality—not a generic checklist.
Human Quality Control
Review workflows are checked for consistency before delivery.
Flexible Workflows
Different AI products require different forms of human judgment. We adapt to your task.
Fast to Start
Send examples, instructions and expected output. We keep onboarding lightweight.
Direct Communication
Work directly with the team handling the project, without enterprise bureaucracy.
Start with a pilot and expand volume as the workflow is validated.
Free pilot
Test GetHumanLayer on Your Own Data
Send us a small real task. We'll review up to 50 items so you can evaluate the quality of our work before committing to a paid project.
- Send the TaskShare examples, instructions and what you want evaluated.
- We Run the PilotWe complete up to 50 items using your criteria.
- Review the ResultsEvaluate our work before deciding whether to continue.
Process
How It Works
- 01
Show Us the Task
Send examples, instructions and what a good result looks like.
- 02
We Define the Workflow
We translate your requirements into a consistent review process and output format.
- 03
Run the Pilot
We complete up to 50 items for you to evaluate.
- 04
Scale What Works
If the results meet your expectations, continue with a larger batch or recurring workflow.
FAQ
Common Questions
What kinds of AI tasks can you review?
AI outputs, conversations, transcripts, datasets, annotations, classifications, comparisons and custom tasks that require human judgment.
What counts as one free item?
It depends on the workflow. One item might be one response, transcript, conversation, image, classification or dataset row.
Do I need a large project?
No. Small pilots and small batches are welcome.
Can you follow our own evaluation criteria?
Yes. The workflow is built around your instructions, rubric and desired output.
How do you deliver results?
We agree on the output format before starting. Depending on the task, results can be delivered in a structured format such as CSV or another agreed format.
What happens after the free pilot?
If you are satisfied, we discuss volume, workflow and pricing for continued work. There is no obligation to continue.
Get in touch
Have an AI Workflow That Needs Human Judgment?
Send us a few examples and tell us what you're trying to evaluate. We'll tell you how we'd approach it.
Start Free Pilot hello@gethumanlayer.netNot sure whether your task fits? Send it anyway.