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Expert workflow data
Coordinate contributors as they recreate professional workflows and explain the decisions, assumptions, and steps behind the work.
AI data & expert operations
Expert work for AI, managed to acceptance.
Crewlia helps AI teams turn specialist knowledge into useful training and evaluation data. We coordinate the people and the work—from qualification and onboarding through review feedback and revisions.
Domain-led contributorsManaged deliveryClear acceptance workflow
Expert data delivery
ILLUSTRATIVE WORKFLOW
01
Contributor qualifiedDomain fit · availability · sample
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02
Workflow completedBrief and rubric in place
✓
03
Expert reviewFeedback linked to task criteria
✓
04
Revision coordinatedChanges tracked to resolution
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One accountable delivery path from contributor onboarding to client review.
Human expertisestructured for AI work
What we do
People who know the work. Operations that keep it moving.
We build a clear path from an expert’s real-world judgment to a reviewed, usable contribution for AI training and evaluation.
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Evaluation and review
Support rubric-led tasks that assess model outputs for correctness, reasoning quality, completeness, and domain judgment.
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Contributor operations
Manage sourcing, qualification, onboarding, task status, feedback loops, revisions, and payment reconciliation.
Experience behind the model
Built around the realities of expert work.
Our operating approach draws on hands-on experience coordinating professional contributors on AI-related workflow tasks.
01
Professionals recreated workflows from their own fields so AI systems could learn from how the work is done.
02
Submissions moved through review and revision, with feedback returned to contributors against the work requirements.
03
Delivery operations included onboarding, daily deliverables, and contributor communication, supported by a small coordination team.
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Acceptance and compensation were connected, making clear task status, review criteria, and payment reconciliation part of the operating model.
Illustrative sample work
See what a pilot can deliver.
These samples show the shape of a task, a review rubric, and a delivery report. They are illustrative only and do not represent client work or outcomes.
01
Annotation task
Label a fictional customer-support response for policy coverage, evidence use, and escalation need.
Download Markdown02
Evaluation rubric
Score a fictional model answer against explicit criteria and record an actionable reviewer note.
Download CSV03
Delivery report
Inspect batch status, review feedback, revision requests, and handoff notes.
Download MarkdownHow delivery works
A clear path from brief to delivery.
Each stage leaves the client with a concrete record to review before the next stage begins.
01 / BRIEF
Define the work
Client deliverable: a scoped task brief with domain, task type, example inputs, and acceptance criteria.
02 / QUALIFY
Match the expertise
Client deliverable: a contributor-fit summary covering domain evidence, availability, and participation permission.
03 / PILOT
Run a small batch
Client deliverable: a pilot batch log with submitted work, rubric references, and open questions.
04 / REVIEW
Resolve feedback
Client deliverable: a review record that links decisions and revision requests to the agreed criteria.
05 / DELIVERY
Close the handoff
Client deliverable: an organised delivery package with accepted items, revision status, and a completion note.
Questions, answered
Plan a useful first engagement.
We start with the work, the expertise it needs, and a review path that can be inspected.
What does an AI delivery pilot include?
A defined task brief, contributor requirements, a small batch, a review record, and an organised handoff of the work produced.
How is work reviewed?
Review criteria are agreed in the brief. Feedback and revision requests are recorded against those criteria before delivery.
What expert roles can be considered?
We discuss the domain knowledge, workflow experience, language needs, availability, and participation requirements for the specific task.
How do we enquire?
Use the enquiry form to share the task or staffing need. We will use the information provided to begin the conversation.
Start with one focused pilot
One domain. One clear rubric. A small, reviewable batch.
We will agree the scope, contributor requirements, review turnaround, revision rules, and commercial terms before production starts.