Talent · AI and Data
AI QA and Annotation Specialist
People who label data and check AI output by hand, so models learn from good examples and errors are caught early.
What they do
- Labels text, invoices, forms and images
- Writes labelling guidelines
- Checks AI output against agreed answers
- Works review queues where a person approves
- Reports recurring errors
When to bring one in
- You are training a supervised model
- Agent actions need a person to approve them
- You want accuracy checked by hand
Specification
- Core skills
- Attention to detail, Domain knowledge, Guideline writing, Quality reporting
- Tools
- Label Studio, Review queues, Spreadsheets, Langfuse
Seniority
Specialist1 to 3 years
Labelling and review work
Lead3+ years
Writes guidelines and manages quality
Request
Request an AI QA and Annotation Specialist
Tell us about the project, stack and domain. We will share matched profiles, usually within one to two weeks.
Start a conversation
Tell us what you are trying to build.
Share the problem in a short call. You leave with a clear view of the approach, the team and the cost.
Or get a ballpark proposal in two minutes
A specialist replies within one working day. The first conversation is free.