Write the operational labeling policy visible inside work.
Instructions explain how experts should apply the ontology to real cases. They should resolve inclusion, exclusion, ambiguity, geometry, attributes, invalid data, review, and escalation with representative examples.
Name the policy owner and reviewer.
Collect representative easy, difficult, ambiguous, and invalid examples.
Compare every instruction to the ontology and workflow so no route or required value is missing.

Instructions belong inside the project so annotators and reviewers can consult the current policy without leaving the work context.
Instructions can contain:
rich text/description;
external URL;
file attachment;
PDF upload;
PPT upload.
Instructions should be the current operational standard an annotator can consult while working. They should include definitions, decision rules, hard examples, counterexamples, uncertainty policy, and escalation steps.
Example selection
Choose examples that expose the decision boundary, not only ideal annotations.
Ontology coupling
Instructions and schema must change together when policy changes.
Effective date
Record when a material policy revision begins and how in-flight work is handled.
Questions
Use comments for context and issues for owned correction or follow-through.
Test the ontology in Workbench.
Train annotators and reviewers on the same calibration set.
Record material changes before resuming volume.
Related Unitlab capability guides: AI training-data annotation