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 = []
personFit = []
relatedRoles = []

[preparation]
educationDistribution = []

[educationLevel]
category = "High school diploma or equivalent"
slug = "high-school-diploma-or-equivalent"

[market]
medianWage = 48640
meanWage = 53270
pct10Wage = 35270
pct25Wage = 40700
pct75Wage = 61090
pct90Wage = 77150
employment = 183690
areaTitle = "U.S."

[industries]
count = 40

[[industries.top]]
naics = "56"
slug = "56"
title = "Administrative and Support and Waste Management and Remediation Services"
level = "Sector"
employment = 35080
medianWage = 46040
lq = 3.26

[[industries.top]]
naics = "31-33"
slug = "31-33"
title = "Manufacturing"
level = "Sector"
employment = 25210
medianWage = 50580
lq = 1.66

[[industries.top]]
naics = "42"
slug = "42"
title = "Wholesale Trade"
level = "Sector"
employment = 24830
medianWage = 49960
lq = 3.45

[[industries.top]]
naics = "44-45"
slug = "44-45"
title = "Retail Trade"
level = "Sector"
employment = 21500
medianWage = 46600
lq = 1.16

[[industries.top]]
naics = "23"
slug = "23"
title = "Construction"
level = "Sector"
employment = 21460
medianWage = 47740
lq = 2.22

[[industries.top]]
naics = "54"
slug = "54"
title = "Professional, Scientific, and Technical Services"
level = "Sector"
employment = 8260
medianWage = 47650
lq = 0.64

[[industries.top]]
naics = "561320"
slug = "561320"
title = "Temporary Help Services"
level = "National industry"
employment = 6880
medianWage = 45670
lq = 2.18

[[industries.top]]
naics = "71"
slug = "71"
title = "Arts, Entertainment, and Recreation"
level = "Sector"
employment = 6490
medianWage = 38480
lq = 2.06

[[industries.top]]
naics = "81"
slug = "81"
title = "Other Services (except Public Administration)"
level = "Sector"
employment = 6450
medianWage = 46210
lq = 1.22

[[industries.top]]
naics = "48-49"
slug = "48-49"
title = "Transportation and Warehousing"
level = "Sector"
employment = 6300
medianWage = 49920
lq = 0.72

[[industries.top]]
naics = "53"
slug = "53"
title = "Real Estate and Rental and Leasing"
level = "Sector"
employment = 4640
medianWage = 45660
lq = 1.64

[[industries.top]]
naics = "459110"
slug = "459110"
title = "Sporting Goods Retailers"
level = "National industry"
employment = 2630
medianWage = 44570
lq = 7.42

[[industries.concentrated]]
naics = "238290"
slug = "238290"
title = "Other Building Equipment Contractors"
level = "National industry"
employment = 2140
lq = 11.7

[[industries.concentrated]]
naics = "459110"
slug = "459110"
title = "Sporting Goods Retailers"
level = "National industry"
employment = 2630
lq = 7.42

[[industries.concentrated]]
naics = "42"
slug = "42"
title = "Wholesale Trade"
level = "Sector"
employment = 24830
lq = 3.45

[[industries.concentrated]]
naics = "56"
slug = "56"
title = "Administrative and Support and Waste Management and Remediation Services"
level = "Sector"
employment = 35080
lq = 3.26

[[industries.concentrated]]
naics = "221113"
slug = "221113"
title = "Nuclear Electric Power Generation"
level = "National industry"
employment = 130
lq = 2.94

[[industries.concentrated]]
naics = "22"
slug = "22"
title = "Utilities"
level = "Sector"
employment = 1950
lq = 2.82

[[industries.concentrated]]
naics = "23"
slug = "23"
title = "Construction"
level = "Sector"
employment = 21460
lq = 2.22

[[industries.concentrated]]
naics = "561320"
slug = "561320"
title = "Temporary Help Services"
level = "National industry"
employment = 6880
lq = 2.18

[aiOutlook]
teleworkable = false
usageTasks = []

[aiOutlook.index]
value = 35
percentile = 33
band = "Low"
version = "ai-exposure-index-v1"
componentCount = 3

[[aiOutlook.index.components]]
percentile = 32
source = "felten_aioe"

[[aiOutlook.index.components]]
percentile = 35
source = "openai_gpts_are_gpts"

[[aiOutlook.index.components]]
percentile = 39
source = "microsoft_working_with_ai"

[aiOutlook.eloundou]
alpha = 0.06451612903225806
beta = 0.2096774193548387
gamma = 0.3548387096774194

[aiOutlook.bls]
growthPercent = 2.4
growthPercentile = 45
direction = "About average"
annualOpeningsThousands = 21.5
annualOpeningsPercentile = 79
employment2024Thousands = 221.2
employment2034Thousands = 226.5

[[aiOutlook.exposure]]
source = "felten_aioe"
label = "Overall AI exposure (Felten et al.)"
value = -0.5900791
percentile = 32
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."

[[aiOutlook.exposure]]
source = "eloundou_gamma"
label = "LLM task exposure, γ (OpenAI / Eloundou)"
value = 0.3548387096774194
percentile = 35
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."

[[aiOutlook.exposure]]
source = "microsoft_applicability"
label = "AI assistant applicability (Microsoft)"
value = 0.12122897645321279
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."

[[aiOutlook.sources]]
source = "bls_employment_projections"
version = "2024-2034"

[[aiOutlook.sources]]
source = "dingel_neiman"
version = "dingel-neiman-workathome"

[[aiOutlook.sources]]
source = "felten_aioe"
version = "felten-raj-seamans-aioe"

[[aiOutlook.sources]]
source = "microsoft_working_with_ai"
version = "working-with-ai"

[[aiOutlook.sources]]
source = "openai_gpts_are_gpts"
version = "gpts-are-gpts"

[counts]
tasks = 0
skills = 0
capabilities = 0
tools = 0
relatedRoles = 0

[source]
dataset = "gold.onet_role_starter_surface"
version = "30.3"
generatedAt = "2026-06-02T21:00:32.945303+00:00"
contentHash = "eb207a82ee4d7870"

[[careerClusters]]
cluster = "Advanced Manufacturing"
slug = "advanced-manufacturing"

[[careerClusters]]
cluster = "Construction"
slug = "construction"

[[studyPrograms]]
title = "Mechanic and Repair Technologies/Technicians"
slug = "mechanic-and-repair-technologies-technicians"

[[aiSignals]]
source = "felten_aioe"
label = "AI occupational exposure"
score = -0.5900791
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"

[[aiSignals]]
source = "felten_image_generation_aioe"
label = "Image generation occupational exposure"
score = -0.1460183
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"

[[aiSignals]]
source = "felten_language_modeling_aioe"
label = "Language modeling occupational exposure"
score = -0.7931647
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"
