{
  "id": "workflow:data-labeling-pipeline",
  "_kind": "Workflow",
  "_file": "workflows/workflows/workflows-ml-deep.yaml",
  "_cluster": "workflows",
  "attributes": {
    "displayName": "Data Labeling Pipeline",
    "workflowKind": "data",
    "triggerType": "event-driven",
    "typicalCadence": "per-dataset",
    "complexity": "cross-team",
    "description": "Manages the end-to-end data labeling workflow — task design, labeler\nonboarding, quality assurance sampling, inter-annotator agreement\nmeasurement, active-learning-driven sample selection, and labeled dataset\nversioning. Excludes model training.\n"
  },
  "outgoingEdges": [
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      "to": "role:ml-engineer",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:data-labeling-pipeline",
      "to": "role:data-scientist",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:data-labeling-pipeline",
      "to": "skill-area:python-data-pipelines",
      "kind": "requires_skill_area",
      "attributes": {}
    },
    {
      "from": "workflow:data-labeling-pipeline",
      "to": "skill-area:ml-fine-tuning",
      "kind": "requires_skill_area",
      "attributes": {}
    },
    {
      "from": "workflow:data-labeling-pipeline",
      "to": "domain:data-science",
      "kind": "applies_to_domain",
      "attributes": {}
    },
    {
      "from": "workflow:data-labeling-pipeline",
      "to": "domain:ml-ops",
      "kind": "applies_to_domain",
      "attributes": {}
    },
    {
      "from": "workflow:data-labeling-pipeline",
      "to": "responsibility:data-quality-monitoring",
      "kind": "triggers_responsibility",
      "attributes": {}
    },
    {
      "from": "workflow:data-labeling-pipeline",
      "to": "org-unit:ml-team",
      "kind": "performed_by_org_unit",
      "attributes": {}
    },
    {
      "from": "workflow:data-labeling-pipeline",
      "to": "org-unit:data-team",
      "kind": "performed_by_org_unit",
      "attributes": {}
    }
  ],
  "incomingEdges": []
}