{
  "entityType": "role",
  "schemaVersion": "role.v1",
  "slug": "role-51-8099-00",
  "socCode": "51-8099.00",
  "title": "Plant and System Operators, All Other",
  "summary": "All plant and system operators not listed separately.",
  "aliases": [
    "Asphalt Plant Operator",
    "Batch Plant Operator",
    "Batch and Furnace Operator",
    "Batcher Operator",
    "Bulk Plant Operator",
    "Cement Boat and Barge Loader",
    "Charge Machine Operator",
    "Chief Lock Tender Operator",
    "Coal Pipeline Operator",
    "Concrete Batch Plant Operator",
    "Control Board Operator",
    "Fire Tender"
  ],
  "tasks": [],
  "emergingTasks": [],
  "activities": [],
  "capabilities": [],
  "skills": [],
  "tools": [],
  "workContext": [],
  "preparation": {
    "educationDistribution": []
  },
  "personFit": [],
  "relatedRoles": [],
  "careerClusters": [
    {
      "cluster": "Energy & Natural Resources",
      "slug": "energy-natural-resources"
    }
  ],
  "educationLevel": {
    "category": "High school diploma or equivalent",
    "slug": "high-school-diploma-or-equivalent"
  },
  "studyPrograms": [],
  "market": {
    "medianWage": 61710,
    "meanWage": 64490,
    "pct10Wage": 40250,
    "pct25Wage": 47860,
    "pct75Wage": 76910,
    "pct90Wage": 92750,
    "employment": 15950,
    "areaTitle": "U.S."
  },
  "industries": {
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        "naics": "31-33",
        "slug": "31-33",
        "title": "Manufacturing",
        "level": "Sector",
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        "lq": 5.03
      },
      {
        "naics": "21",
        "slug": "21",
        "title": "Mining, Quarrying, and Oil and Gas Extraction",
        "level": "Sector",
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        "medianWage": 61950,
        "lq": 29.67
      },
      {
        "naics": "23",
        "slug": "23",
        "title": "Construction",
        "level": "Sector",
        "employment": 1210,
        "medianWage": 53140,
        "lq": 1.44
      },
      {
        "naics": "42",
        "slug": "42",
        "title": "Wholesale Trade",
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        "lq": 1.68
      },
      {
        "naics": "22",
        "slug": "22",
        "title": "Utilities",
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        "medianWage": 93150,
        "lq": 6.51
      },
      {
        "naics": "54",
        "slug": "54",
        "title": "Professional, Scientific, and Technical Services",
        "level": "Sector",
        "employment": 240,
        "medianWage": 90450,
        "lq": 0.22
      },
      {
        "naics": "221112",
        "slug": "221112",
        "title": "Fossil Fuel Electric Power Generation",
        "level": "National industry",
        "employment": 150,
        "medianWage": 128190,
        "lq": 20.34
      },
      {
        "naics": "541330",
        "slug": "541330",
        "title": "Engineering Services",
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        "employment": 150,
        "medianWage": 91210,
        "lq": 1.25
      },
      {
        "naics": "561320",
        "slug": "561320",
        "title": "Temporary Help Services",
        "level": "National industry",
        "employment": 120,
        "medianWage": 43660,
        "lq": 0.44
      },
      {
        "naics": "62",
        "slug": "62",
        "title": "Health Care and Social Assistance",
        "level": "Sector",
        "employment": 70,
        "medianWage": 69290
      },
      {
        "naics": "61",
        "slug": "61",
        "title": "Educational Services",
        "level": "Sector",
        "employment": 60,
        "medianWage": 50840
      },
      {
        "naics": "72",
        "slug": "72",
        "title": "Accommodation and Food Services",
        "level": "Sector",
        "employment": 40,
        "medianWage": 62650
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    ],
    "concentrated": [
      {
        "naics": "21",
        "slug": "21",
        "title": "Mining, Quarrying, and Oil and Gas Extraction",
        "level": "Sector",
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        "lq": 29.67
      },
      {
        "naics": "221112",
        "slug": "221112",
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      {
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      {
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      {
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        "slug": "42",
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        "employment": 1050,
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        "naics": "23",
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        "employment": 1210,
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        "naics": "541330",
        "slug": "541330",
        "title": "Engineering Services",
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        "employment": 150,
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      },
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        "naics": "561320",
        "slug": "561320",
        "title": "Temporary Help Services",
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        "employment": 120,
        "lq": 0.44
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    ],
    "count": 14
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  "aiSignals": [
    {
      "source": "frey_osborne",
      "label": "Computerization probability",
      "score": 0.86,
      "scale": "0-1 probability",
      "release": "2013-baseline-2016-employment-snapshot"
    },
    {
      "source": "felten_aioe",
      "label": "AI occupational exposure",
      "score": -0.6702387,
      "scale": "relative exposure score",
      "release": "2021-plus-generative-ai-workbooks"
    },
    {
      "source": "felten_image_generation_aioe",
      "label": "Image generation occupational exposure",
      "score": -0.3448496,
      "scale": "relative exposure score",
      "release": "2021-plus-generative-ai-workbooks"
    },
    {
      "source": "felten_language_modeling_aioe",
      "label": "Language modeling occupational exposure",
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      "scale": "relative exposure score",
      "release": "2021-plus-generative-ai-workbooks"
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  "aiOutlook": {
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      "percentile": 16,
      "band": "Low",
      "version": "ai-exposure-index-v1",
      "components": [
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          "source": "felten_aioe"
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        {
          "percentile": 24,
          "source": "openai_gpts_are_gpts"
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        {
          "percentile": 4,
          "source": "microsoft_working_with_ai"
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    "exposure": [
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        "source": "felten_aioe",
        "label": "Overall AI exposure (Felten et al.)",
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        "percentile": 29,
        "band": "Low",
        "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": "Low",
        "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)",
        "value": 0.02637506699890347,
        "percentile": 4,
        "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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    "freyHistorical": {
      "source": "frey",
      "label": "Computerization probability (Frey & Osborne, 2013)",
      "value": 0.86,
      "percentile": 72,
      "band": "High",
      "note": "A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking."
    },
    "teleworkable": false,
    "eloundou": {
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    "usageTasks": [],
    "bls": {
      "growthPercent": 1.6,
      "growthPercentile": 37,
      "direction": "About average",
      "annualOpeningsThousands": 1.6,
      "annualOpeningsPercentile": 23,
      "employment2024Thousands": 16.3,
      "employment2034Thousands": 16.6
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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": "frey_osborne",
        "version": "frey-osborne-automation"
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      {
        "source": "microsoft_working_with_ai",
        "version": "working-with-ai"
      },
      {
        "source": "openai_gpts_are_gpts",
        "version": "gpts-are-gpts"
      }
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  "counts": {
    "tasks": 0,
    "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": "6b7991d14d4c9b15"
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}