{
  "entityType": "role",
  "schemaVersion": "role.v1",
  "slug": "role-49-9099-00",
  "socCode": "49-9099.00",
  "title": "Installation, Maintenance, and Repair Workers, All Other",
  "summary": "All installation, maintenance, and repair workers not listed separately.",
  "aliases": [
    "AMF Mechanic",
    "Angle Furnaceman",
    "Anglesmith",
    "Anode Worker",
    "Anvil Worker",
    "Anvilsmith",
    "Armorer",
    "Assembled Wood Products Repairer",
    "Auto Dismantler",
    "Auto Salvage Worker",
    "Auto Wrecker",
    "Automatic Dispenser Mechanic"
  ],
  "tasks": [],
  "emergingTasks": [],
  "activities": [],
  "capabilities": [],
  "skills": [],
  "tools": [],
  "workContext": [],
  "preparation": {
    "educationDistribution": []
  },
  "personFit": [],
  "relatedRoles": [],
  "careerClusters": [
    {
      "cluster": "Advanced Manufacturing",
      "slug": "advanced-manufacturing"
    },
    {
      "cluster": "Construction",
      "slug": "construction"
    }
  ],
  "educationLevel": {
    "category": "High school diploma or equivalent",
    "slug": "high-school-diploma-or-equivalent"
  },
  "studyPrograms": [
    {
      "title": "Mechanic and Repair Technologies/Technicians",
      "slug": "mechanic-and-repair-technologies-technicians"
    }
  ],
  "market": {
    "medianWage": 48640,
    "meanWage": 53270,
    "pct10Wage": 35270,
    "pct25Wage": 40700,
    "pct75Wage": 61090,
    "pct90Wage": 77150,
    "employment": 183690,
    "areaTitle": "U.S."
  },
  "industries": {
    "top": [
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        "naics": "56",
        "slug": "56",
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        "level": "Sector",
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        "medianWage": 46040,
        "lq": 3.26
      },
      {
        "naics": "31-33",
        "slug": "31-33",
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        "medianWage": 50580,
        "lq": 1.66
      },
      {
        "naics": "42",
        "slug": "42",
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      },
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        "naics": "44-45",
        "slug": "44-45",
        "title": "Retail Trade",
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        "lq": 1.16
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      {
        "naics": "23",
        "slug": "23",
        "title": "Construction",
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        "medianWage": 47740,
        "lq": 2.22
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      {
        "naics": "54",
        "slug": "54",
        "title": "Professional, Scientific, and Technical Services",
        "level": "Sector",
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        "medianWage": 47650,
        "lq": 0.64
      },
      {
        "naics": "561320",
        "slug": "561320",
        "title": "Temporary Help Services",
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        "medianWage": 45670,
        "lq": 2.18
      },
      {
        "naics": "71",
        "slug": "71",
        "title": "Arts, Entertainment, and Recreation",
        "level": "Sector",
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        "medianWage": 38480,
        "lq": 2.06
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      {
        "naics": "81",
        "slug": "81",
        "title": "Other Services (except Public Administration)",
        "level": "Sector",
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        "medianWage": 46210,
        "lq": 1.22
      },
      {
        "naics": "48-49",
        "slug": "48-49",
        "title": "Transportation and Warehousing",
        "level": "Sector",
        "employment": 6300,
        "medianWage": 49920,
        "lq": 0.72
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      {
        "naics": "53",
        "slug": "53",
        "title": "Real Estate and Rental and Leasing",
        "level": "Sector",
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        "medianWage": 45660,
        "lq": 1.64
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      {
        "naics": "459110",
        "slug": "459110",
        "title": "Sporting Goods Retailers",
        "level": "National industry",
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    ],
    "concentrated": [
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        "naics": "238290",
        "slug": "238290",
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      {
        "naics": "459110",
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      {
        "naics": "56",
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      {
        "naics": "221113",
        "slug": "221113",
        "title": "Nuclear Electric Power Generation",
        "level": "National industry",
        "employment": 130,
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      {
        "naics": "22",
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        "naics": "23",
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        "title": "Temporary Help Services",
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    "count": 40
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      "source": "felten_aioe",
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      "scale": "relative exposure score",
      "release": "2021-plus-generative-ai-workbooks"
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      "release": "2021-plus-generative-ai-workbooks"
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        "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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        "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": 39,
        "band": "Moderate",
        "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": false,
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    "bls": {
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      "direction": "About average",
      "annualOpeningsThousands": 21.5,
      "annualOpeningsPercentile": 79,
      "employment2024Thousands": 221.2,
      "employment2034Thousands": 226.5
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    "sources": [
      {
        "source": "bls_employment_projections",
        "version": "2024-2034"
      },
      {
        "source": "dingel_neiman",
        "version": "dingel-neiman-workathome"
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      {
        "source": "felten_aioe",
        "version": "felten-raj-seamans-aioe"
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      {
        "source": "microsoft_working_with_ai",
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      {
        "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": "eb207a82ee4d7870"
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}