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"]
tasks = []
emergingTasks = []
activities = []
capabilities = []
skills = []
tools = []
workContext = []
personFit = []
relatedRoles = []
studyPrograms = []

[preparation]
educationDistribution = []

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

[market]
medianWage = 41600
meanWage = 48210
pct10Wage = 30620
pct25Wage = 35540
pct75Wage = 54310
pct90Wage = 72670
employment = 83110
areaTitle = "U.S."

[industries]
count = 24

[[industries.top]]
naics = "61"
slug = "61"
title = "Educational Services"
level = "Sector"
employment = 28740
medianWage = 38100
lq = 3.91

[[industries.top]]
naics = "561320"
slug = "561320"
title = "Temporary Help Services"
level = "National industry"
employment = 4130
medianWage = 31120
lq = 2.89

[[industries.top]]
naics = "44-45"
slug = "44-45"
title = "Retail Trade"
level = "Sector"
employment = 3290
medianWage = 41970
lq = 0.39

[[industries.top]]
naics = "48-49"
slug = "48-49"
title = "Transportation and Warehousing"
level = "Sector"
employment = 1800
medianWage = 47060
lq = 0.45

[[industries.top]]
naics = "54"
slug = "54"
title = "Professional, Scientific, and Technical Services"
level = "Sector"
employment = 1430
medianWage = 136190
lq = 0.25

[[industries.top]]
naics = "71"
slug = "71"
title = "Arts, Entertainment, and Recreation"
level = "Sector"
employment = 1370
medianWage = 64620
lq = 0.96

[[industries.top]]
naics = "81"
slug = "81"
title = "Other Services (except Public Administration)"
level = "Sector"
employment = 1370
medianWage = 38310
lq = 0.57

[[industries.top]]
naics = "62"
slug = "62"
title = "Health Care and Social Assistance"
level = "Sector"
employment = 1200
medianWage = 39300
lq = 0.1

[[industries.top]]
naics = "55"
slug = "55"
title = "Management of Companies and Enterprises"
level = "Sector"
employment = 950
medianWage = 62910
lq = 0.63

[[industries.top]]
naics = "72"
slug = "72"
title = "Accommodation and Food Services"
level = "Sector"
employment = 660
medianWage = 37750
lq = 0.09

[[industries.top]]
naics = "52"
slug = "52"
title = "Finance and Insurance"
level = "Sector"
employment = 500
medianWage = 70210
lq = 0.15

[[industries.top]]
naics = "459110"
slug = "459110"
title = "Sporting Goods Retailers"
level = "National industry"
employment = 360
medianWage = 35360
lq = 2.24

[[industries.concentrated]]
naics = "61"
slug = "61"
title = "Educational Services"
level = "Sector"
employment = 28740
lq = 3.91

[[industries.concentrated]]
naics = "561320"
slug = "561320"
title = "Temporary Help Services"
level = "National industry"
employment = 4130
lq = 2.89

[[industries.concentrated]]
naics = "459110"
slug = "459110"
title = "Sporting Goods Retailers"
level = "National industry"
employment = 360
lq = 2.24

[[industries.concentrated]]
naics = "721120"
slug = "721120"
title = "Casino Hotels"
level = "National industry"
employment = 320
lq = 1.76

[[industries.concentrated]]
naics = "71"
slug = "71"
title = "Arts, Entertainment, and Recreation"
level = "Sector"
employment = 1370
lq = 0.96

[[industries.concentrated]]
naics = "55"
slug = "55"
title = "Management of Companies and Enterprises"
level = "Sector"
employment = 950
lq = 0.63

[[industries.concentrated]]
naics = "81"
slug = "81"
title = "Other Services (except Public Administration)"
level = "Sector"
employment = 1370
lq = 0.57

[[industries.concentrated]]
naics = "456110"
slug = "456110"
title = "Pharmacies and Drug Retailers"
level = "National industry"
employment = 180
lq = 0.47

[aiOutlook]
teleworkable = true
usageTasks = []

[aiOutlook.index]
value = 38
percentile = 36
band = "Moderate"
version = "ai-exposure-index-v1"
componentCount = 3

[[aiOutlook.index.components]]
percentile = 50
source = "felten_aioe"

[[aiOutlook.index.components]]
percentile = 54
source = "openai_gpts_are_gpts"

[[aiOutlook.index.components]]
percentile = 10
source = "microsoft_working_with_ai"

[aiOutlook.eloundou]
alpha = 0.0975609756097561
beta = 0.3780487804878049
gamma = 0.6585365853658537

[aiOutlook.bls]
growthPercent = 2.5
growthPercentile = 47
direction = "About average"
annualOpeningsThousands = 23.3
annualOpeningsPercentile = 80
employment2024Thousands = 84
employment2034Thousands = 86.1

[[aiOutlook.exposure]]
source = "felten_aioe"
label = "Overall AI exposure (Felten et al.)"
value = 0.0764088
percentile = 50
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."

[[aiOutlook.exposure]]
source = "eloundou_gamma"
label = "LLM task exposure, γ (OpenAI / Eloundou)"
value = 0.6585365853658537
percentile = 54
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 = 0.050518878162374825
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."

[[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 = "dce952a454bf5711"

[[careerClusters]]
cluster = "Public Service & Safety"
slug = "public-service-safety"

[[aiSignals]]
source = "felten_aioe"
label = "AI occupational exposure"
score = 0.0764088
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"

[[aiSignals]]
source = "felten_image_generation_aioe"
label = "Image generation occupational exposure"
score = 0.213176
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"

[[aiSignals]]
source = "felten_language_modeling_aioe"
label = "Language modeling occupational exposure"
score = -0.017191
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"
