{
  "entityType": "role",
  "schemaVersion": "role.v1",
  "slug": "role-33-9099-00",
  "socCode": "33-9099.00",
  "title": "Protective Service Workers, All Other",
  "summary": "All protective service workers not listed separately.",
  "aliases": [
    "Bus Escort",
    "Bus Matron",
    "Bus Monitor",
    "Cafeteria Monitor",
    "Community Service Patrol Officer",
    "Deputy United States Marshal",
    "Federal Agent",
    "Gamewell Operator",
    "Hall Monitor",
    "Park Ranger",
    "Playground Monitor",
    "Polygraph Examiner"
  ],
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  "emergingTasks": [],
  "activities": [],
  "capabilities": [],
  "skills": [],
  "tools": [],
  "workContext": [],
  "preparation": {
    "educationDistribution": []
  },
  "personFit": [],
  "relatedRoles": [],
  "careerClusters": [
    {
      "cluster": "Public Service & Safety",
      "slug": "public-service-safety"
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  "educationLevel": {
    "category": "High school diploma or equivalent",
    "slug": "high-school-diploma-or-equivalent"
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  "studyPrograms": [],
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    "pct25Wage": 35540,
    "pct75Wage": 54310,
    "pct90Wage": 72670,
    "employment": 83110,
    "areaTitle": "U.S."
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        "slug": "61",
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      {
        "naics": "561320",
        "slug": "561320",
        "title": "Temporary Help Services",
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        "lq": 2.89
      },
      {
        "naics": "44-45",
        "slug": "44-45",
        "title": "Retail Trade",
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        "employment": 3290,
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        "lq": 0.39
      },
      {
        "naics": "48-49",
        "slug": "48-49",
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      {
        "naics": "54",
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      {
        "naics": "71",
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      },
      {
        "naics": "81",
        "slug": "81",
        "title": "Other Services (except Public Administration)",
        "level": "Sector",
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        "lq": 0.57
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      {
        "naics": "62",
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      {
        "naics": "55",
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      {
        "naics": "72",
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        "level": "Sector",
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      {
        "naics": "52",
        "slug": "52",
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        "employment": 500,
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        "lq": 0.15
      },
      {
        "naics": "459110",
        "slug": "459110",
        "title": "Sporting Goods Retailers",
        "level": "National industry",
        "employment": 360,
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    ],
    "concentrated": [
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        "naics": "721120",
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        "employment": 320,
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        "naics": "71",
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        "naics": "456110",
        "slug": "456110",
        "title": "Pharmacies and Drug Retailers",
        "level": "National industry",
        "employment": 180,
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    ],
    "count": 24
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  "aiSignals": [
    {
      "source": "felten_aioe",
      "label": "AI occupational exposure",
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      "scale": "relative exposure score",
      "release": "2021-plus-generative-ai-workbooks"
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    {
      "source": "felten_image_generation_aioe",
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      "scale": "relative exposure score",
      "release": "2021-plus-generative-ai-workbooks"
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    {
      "source": "felten_language_modeling_aioe",
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          "percentile": 10,
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        "label": "Overall AI exposure (Felten et al.)",
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        "band": "Moderate",
        "note": "How much this job's abilities overlap with what AI systems can do, across many AI capabilities. A relative research score, not a forecast of job loss."
      },
      {
        "source": "eloundou_gamma",
        "label": "LLM task exposure, γ (OpenAI / Eloundou)",
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        "band": "Moderate",
        "note": "Share of this job's tasks where a large language model plus simple tools could cut the time to do them by at least half. γ is capped at 1.0 and many jobs reach that ceiling, so treat a top score as 'in the top group', not a precise rank."
      },
      {
        "source": "microsoft_applicability",
        "label": "AI assistant applicability (Microsoft)",
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        "percentile": 10,
        "band": "Low",
        "note": "How applicable today's AI assistants are to this job's activities, measured from real Microsoft Copilot conversations. Applicability is not the same as replacement."
      }
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    "teleworkable": true,
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    "usageTasks": [],
    "bls": {
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      "direction": "About average",
      "annualOpeningsThousands": 23.3,
      "annualOpeningsPercentile": 80,
      "employment2024Thousands": 84,
      "employment2034Thousands": 86.1
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    "sources": [
      {
        "source": "bls_employment_projections",
        "version": "2024-2034"
      },
      {
        "source": "dingel_neiman",
        "version": "dingel-neiman-workathome"
      },
      {
        "source": "felten_aioe",
        "version": "felten-raj-seamans-aioe"
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      {
        "source": "microsoft_working_with_ai",
        "version": "working-with-ai"
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      {
        "source": "openai_gpts_are_gpts",
        "version": "gpts-are-gpts"
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  "counts": {
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    "skills": 0,
    "capabilities": 0,
    "tools": 0,
    "relatedRoles": 0
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  "source": {
    "dataset": "gold.onet_role_starter_surface",
    "version": "30.3",
    "generatedAt": "2026-06-02T21:00:32.945303+00:00",
    "contentHash": "dce952a454bf5711"
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}