entityType = "role"
schemaVersion = "role.v1"
slug = "role-53-6021-00"
socCode = "53-6021.00"
title = "Parking Attendants"
summary = "Park vehicles or issue tickets for customers in a parking lot or garage. May park or tend vehicles in environments such as a car dealership or rental car facility. May collect fee."
aliases = ["Parking Attendant", "Parking Lot Attendant", "Valet Attendant", "Valet Parker", "Hiker", "Parking Cashier", "Parking Ramp Attendant", "Valet Parking Attendant", "Attendant", "Auto Hiker", "Auto Lot Attendant (Automotive Lot Attendant)", "Auto Parker"]
emergingTasks = []
studyPrograms = []

[preparation]
jobZone = "2"
jobZoneName = "Job Zone 1-2: Very Little to Some Preparation Needed"
education = "Usually requires a high school diploma or GED, though some occupations may not."
experience = "Some occupations may need little or no previous experience; others require several months to a year of experience. For example, landscaping and groundskeeping workers might require very little training or previous experience, while agricultural equipment operators can benefit from on-the job training."
svpRange = "(Below 6.0)"

[[preparation.educationDistribution]]
label = "High School Diploma"
percentage = 60.75

[[preparation.educationDistribution]]
label = "Less than a High School Diploma"
percentage = 38.29

[[preparation.educationDistribution]]
label = "Bachelor's Degree"
percentage = 0.96

[educationLevel]
category = "No formal educational credential"
slug = "no-formal-educational-credential"

[market]
medianWage = 34600
meanWage = 34190
pct10Wage = 24960
pct25Wage = 29590
pct75Wage = 37230
pct90Wage = 43840
employment = 134650
areaTitle = "U.S."

[industries]
count = 20

[[industries.top]]
naics = "81"
slug = "81"
title = "Other Services (except Public Administration)"
level = "Sector"
employment = 73190
medianWage = 34960
lq = 18.93

[[industries.top]]
naics = "44-45"
slug = "44-45"
title = "Retail Trade"
level = "Sector"
employment = 22340
medianWage = 34120
lq = 1.64

[[industries.top]]
naics = "71"
slug = "71"
title = "Arts, Entertainment, and Recreation"
level = "Sector"
employment = 7580
medianWage = 33990
lq = 3.29

[[industries.top]]
naics = "72"
slug = "72"
title = "Accommodation and Food Services"
level = "Sector"
employment = 7150
medianWage = 33420
lq = 0.58

[[industries.top]]
naics = "53"
slug = "53"
title = "Real Estate and Rental and Leasing"
level = "Sector"
employment = 3940
medianWage = 36020
lq = 1.91

[[industries.top]]
naics = "48-49"
slug = "48-49"
title = "Transportation and Warehousing"
level = "Sector"
employment = 2600
medianWage = 34700
lq = 0.4

[[industries.top]]
naics = "721120"
slug = "721120"
title = "Casino Hotels"
level = "National industry"
employment = 2580
medianWage = 32640
lq = 8.77

[[industries.top]]
naics = "42"
slug = "42"
title = "Wholesale Trade"
level = "Sector"
employment = 2060
medianWage = 31680
lq = 0.39

[[industries.top]]
naics = "62"
slug = "62"
title = "Health Care and Social Assistance"
level = "Sector"
employment = 2060
medianWage = 37610
lq = 0.1

[[industries.top]]
naics = "61"
slug = "61"
title = "Educational Services"
level = "Sector"
employment = 1680
medianWage = 37110
lq = 0.14

[[industries.top]]
naics = "722511"
slug = "722511"
title = "Full-Service Restaurants"
level = "National industry"
employment = 690
medianWage = 34960
lq = 0.15

[[industries.top]]
naics = "55"
slug = "55"
title = "Management of Companies and Enterprises"
level = "Sector"
employment = 230
medianWage = 33560
lq = 0.09

[[industries.concentrated]]
naics = "81"
slug = "81"
title = "Other Services (except Public Administration)"
level = "Sector"
employment = 73190
lq = 18.93

[[industries.concentrated]]
naics = "721120"
slug = "721120"
title = "Casino Hotels"
level = "National industry"
employment = 2580
lq = 8.77

[[industries.concentrated]]
naics = "71"
slug = "71"
title = "Arts, Entertainment, and Recreation"
level = "Sector"
employment = 7580
lq = 3.29

[[industries.concentrated]]
naics = "53"
slug = "53"
title = "Real Estate and Rental and Leasing"
level = "Sector"
employment = 3940
lq = 1.91

[[industries.concentrated]]
naics = "44-45"
slug = "44-45"
title = "Retail Trade"
level = "Sector"
employment = 22340
lq = 1.64

[[industries.concentrated]]
naics = "72"
slug = "72"
title = "Accommodation and Food Services"
level = "Sector"
employment = 7150
lq = 0.58

[[industries.concentrated]]
naics = "48-49"
slug = "48-49"
title = "Transportation and Warehousing"
level = "Sector"
employment = 2600
lq = 0.4

[[industries.concentrated]]
naics = "42"
slug = "42"
title = "Wholesale Trade"
level = "Sector"
employment = 2060
lq = 0.39

[aiOutlook]
teleworkable = false
usageRelease = "2026-01-15-v4-plus-2025-03-27-v2"

[aiOutlook.index]
value = 31
percentile = 29
band = "Low"
version = "ai-exposure-index-v1"
componentCount = 3

[[aiOutlook.index.components]]
percentile = 24
source = "felten_aioe"

[[aiOutlook.index.components]]
percentile = 23
source = "openai_gpts_are_gpts"

[[aiOutlook.index.components]]
percentile = 45
source = "microsoft_working_with_ai"

[aiOutlook.freyHistorical]
source = "frey"
label = "Computerization probability (Frey & Osborne, 2013)"
value = 0.87
percentile = 74
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."

[aiOutlook.eloundou]
alpha = 0.03571428571428571
beta = 0.10714285714285714
gamma = 0.17857142857142855

[aiOutlook.bls]
growthPercent = 3
growthPercentile = 51
direction = "About average"
annualOpeningsThousands = 18.5
annualOpeningsPercentile = 77
employment2024Thousands = 135.7
employment2034Thousands = 139.8

[[aiOutlook.exposure]]
source = "felten_aioe"
label = "Overall AI exposure (Felten et al.)"
value = -0.8353891
percentile = 24
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 = 0.17857142857142855
percentile = 23
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."

[[aiOutlook.exposure]]
source = "microsoft_applicability"
label = "AI assistant applicability (Microsoft)"
value = 0.13749818125495236
percentile = 45
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.usageTasks]]
task = "Explain and calculate parking charges, collect fees from customers, and respond to customer complaints."
usagePercent = 0.002773110279406267
importance = 4.01

[[aiOutlook.usageTasks]]
task = "Provide customer assistance and information, such as giving directions or handling wheelchairs."
usagePercent = 0.0017460323981446867
importance = 3.97

[[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 = "frey_osborne"
version = "frey-osborne-automation"

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

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

[aiPlaybook]
trustedTaskCount = 1
taskCount = 1
totalSample = 85
autonomyMedian = 4
dominantCollaboration = "directive"
automationShare = 42.35
augmentationShare = 41.18
workUsePercent = 35.29
release = "2026-01-15-v4-plus-2025-03-27-v2"

[[aiPlaybook.collaboration]]
label = "directive"
percent = 42.35

[[aiPlaybook.collaboration]]
label = "task iteration"
percent = 41.18

[[aiPlaybook.useCase]]
label = "personal"
percent = 61.18

[[aiPlaybook.useCase]]
label = "work"
percent = 35.29

[[aiPlaybook.delegatedTasks]]
task = "Provide customer assistance and information, such as giving directions or handling wheelchairs."
usagePercent = 0.008501062632829104
collaboration = "directive"
autonomyMedian = 4
sampleCount = 85

[[aiPlaybook.boundaryTasks]]
task = "Provide customer assistance and information, such as giving directions or handling wheelchairs."
humanNeededPercent = 97.6470588235294
sampleCount = 85

[[aiPlaybook.seedPrompts]]
prompt = "Do this for me: provide customer assistance and information, such as giving directions or handling wheelchairs. Give me a finished draft I can review and adjust."
collaboration = "directive"

[counts]
tasks = 15
skills = 35
capabilities = 120
tools = 8
relatedRoles = 20

[source]
dataset = "gold.onet_role_starter_surface"
version = "30.3"
generatedAt = "2026-06-02T21:00:32.945303+00:00"
contentHash = "baf9ee93232d435f"

[[tasks]]
text = "Take numbered tags from customers, locate vehicles, and deliver vehicles, or provide customers with instructions for locating vehicles."
type = "Core"
iwa = "4.A.4.a.5.j"

[[tasks]]
text = "Inspect vehicles to detect any damage."
type = "Core"
iwa = "4.A.1.b.2.d"

[[tasks]]
text = "Greet customers and open their car doors."
type = "Core"
iwa = "4.A.4.a.5.j"

[[tasks]]
text = "Issue ticket stubs or place numbered tags on windshields, log tags or attach tag to customers' keys, and give customers matching tags for locating parked vehicles."
type = "Core"
iwa = "4.A.1.b.1.a"

[[tasks]]
text = "Perform cash handling tasks, such as making change, balancing and recording cash drawer, or distributing tips."
type = "Core"
iwa = "4.A.2.a.2.d"

[[tasks]]
text = "Patrol parking areas to prevent vehicle damage and vehicle or property thefts."
type = "Supplemental"
iwa = "4.A.1.a.2.g"

[[tasks]]
text = "Explain and calculate parking charges, collect fees from customers, and respond to customer complaints."
type = "Core"
iwa = "4.A.4.c.3.d"

[[tasks]]
text = "Park and retrieve automobiles for customers in parking lots, storage garages, or new car lots."
type = "Core"
iwa = "4.A.3.a.4.a"

[[tasks]]
text = "Provide customer assistance and information, such as giving directions or handling wheelchairs."
type = "Core"
iwa = "4.A.4.a.3.c"

[[tasks]]
text = "Keep parking areas clean and orderly to ensure that space usage is maximized."
type = "Core"
iwa = "4.A.3.a.1.c"

[[tasks]]
text = "Direct motorists to parking areas or parking spaces, using hand signals or flashlights as necessary."
type = "Supplemental"
iwa = "4.A.3.a.2.r"

[[tasks]]
text = "Escort customers to their vehicles to ensure their safety."
type = "Supplemental"
iwa = "4.A.4.a.5.j"

[[activities]]
name = "Apply identification labels or tags."
iwa = "4.A.1.b.1.a"

[[activities]]
name = "Balance receipts."
iwa = "4.A.2.a.2.d"

[[activities]]
name = "Prepare cash for deposit or disbursement."
iwa = "4.A.2.a.2.d"

[[activities]]
name = "Collect fares or payment from customers."
iwa = "4.A.4.c.3.d"

[[activities]]
name = "Provide transportation information to passengers or customers."
iwa = "4.A.4.a.3.c"

[[activities]]
name = "Assist customers to ensure comfort or safety."
iwa = "4.A.4.a.5.j"

[[activities]]
name = "Request emergency personnel."
iwa = "4.A.4.a.2.g"

[[activities]]
name = "Clean facilities or work areas."
iwa = "4.A.3.a.1.c"

[[activities]]
name = "Direct vehicle traffic."
iwa = "4.A.3.a.2.r"

[[activities]]
name = "Monitor surroundings to detect potential hazards."
iwa = "4.A.1.a.2.g"

[[activities]]
name = "Drive passenger vehicles."
iwa = "4.A.3.a.4.a"

[[activities]]
name = "Move materials, equipment, or supplies."
iwa = "4.A.3.a.1.j"

[[activities]]
name = "Inspect motor vehicles."
iwa = "4.A.1.b.2.d"

[[activities]]
name = "Assist passengers during vehicle boarding."
iwa = "4.A.4.a.5.j"

[[activities]]
name = "Maintain vehicles in good working condition."
iwa = "4.A.3.b.4.e"

[[capabilities]]
name = "Speaking"
family = "essential_skill"
value = 3.5

[[capabilities]]
name = "Far Vision"
family = "ability"
value = 3.5

[[capabilities]]
name = "Customer and Personal Service"
family = "knowledge"
value = 3.48

[[capabilities]]
name = "Service Orientation"
family = "transferable_skill"
value = 3.38

[[capabilities]]
name = "Oral Comprehension"
family = "ability"
value = 3.38

[[capabilities]]
name = "Oral Expression"
family = "ability"
value = 3.38

[[capabilities]]
name = "Near Vision"
family = "ability"
value = 3.38

[[capabilities]]
name = "Speech Recognition"
family = "ability"
value = 3.38

[[capabilities]]
name = "Active Listening"
family = "essential_skill"
value = 3.25

[[capabilities]]
name = "Problem Sensitivity"
family = "ability"
value = 3.25

[[capabilities]]
name = "Speech Clarity"
family = "ability"
value = 3.25

[[capabilities]]
name = "Spatial Orientation"
family = "ability"
value = 3.12

[[capabilities]]
name = "English Language"
family = "knowledge"
value = 3.08

[[capabilities]]
name = "Transportation"
family = "knowledge"
value = 3.02

[[capabilities]]
name = "Social Perceptiveness"
family = "transferable_skill"
value = 3

[[capabilities]]
name = "Deductive Reasoning"
family = "ability"
value = 3

[[capabilities]]
name = "Inductive Reasoning"
family = "ability"
value = 3

[[capabilities]]
name = "Information Ordering"
family = "ability"
value = 3

[[capabilities]]
name = "Selective Attention"
family = "ability"
value = 3

[[capabilities]]
name = "Control Precision"
family = "ability"
value = 3

[[capabilities]]
name = "Multilimb Coordination"
family = "ability"
value = 3

[[capabilities]]
name = "Depth Perception"
family = "ability"
value = 3

[[capabilities]]
name = "Critical Thinking"
family = "essential_skill"
value = 2.88

[[capabilities]]
name = "Perceptual Speed"
family = "ability"
value = 2.88

[[capabilities]]
name = "Visualization"
family = "ability"
value = 2.88

[[capabilities]]
name = "Manual Dexterity"
family = "ability"
value = 2.88

[[capabilities]]
name = "Reaction Time"
family = "ability"
value = 2.88

[[capabilities]]
name = "Trunk Strength"
family = "ability"
value = 2.88

[[capabilities]]
name = "Extent Flexibility"
family = "ability"
value = 2.88

[[capabilities]]
name = "Visual Color Discrimination"
family = "ability"
value = 2.88

[[capabilities]]
name = "Writing"
family = "essential_skill"
value = 2.75

[[capabilities]]
name = "Mathematics"
family = "essential_skill"
value = 2.75

[[capabilities]]
name = "Monitoring"
family = "essential_skill"
value = 2.75

[[capabilities]]
name = "Coordination"
family = "transferable_skill"
value = 2.75

[[capabilities]]
name = "Judgment and Decision Making"
family = "transferable_skill"
value = 2.75

[[capabilities]]
name = "Flexibility of Closure"
family = "ability"
value = 2.75

[[capabilities]]
name = "Arm-Hand Steadiness"
family = "ability"
value = 2.75

[[capabilities]]
name = "Stamina"
family = "ability"
value = 2.75

[[capabilities]]
name = "Gross Body Coordination"
family = "ability"
value = 2.75

[[capabilities]]
name = "Night Vision"
family = "ability"
value = 2.75

[[skills]]
name = "Speech Recognition"
type = "Specialized Skill"

[[skills]]
name = "Active Listening"
type = "Common Skill"

[[skills]]
name = "English Language"
type = "Common Skill"

[[skills]]
name = "Social Perceptiveness"
type = "Common Skill"

[[skills]]
name = "Microsoft Word"
type = "Common Skill"

[[skills]]
name = "Microsoft Outlook"
type = "Common Skill"

[[skills]]
name = "Microsoft Excel"
type = "Common Skill"

[[skills]]
name = "Information Ordering"
type = "Specialized Skill"

[[skills]]
name = "Inductive Reasoning"
type = "Common Skill"

[[skills]]
name = "Depth Perception"
type = "Common Skill"

[[skills]]
name = "Deductive Reasoning"
type = "Common Skill"

[[skills]]
name = "Visualization"
type = "Specialized Skill"

[[skills]]
name = "Critical Thinking"
type = "Common Skill"

[[skills]]
name = "Writing"
type = "Common Skill"

[[skills]]
name = "Mathematics"
type = "Common Skill"

[[skills]]
name = "Reading Comprehension"
type = "Common Skill"

[[skills]]
name = "Finger Dexterity"
type = "Common Skill"

[[skills]]
name = "Complex Problem Solving"
type = "Common Skill"

[[skills]]
name = "Time Management"
type = "Common Skill"

[[skills]]
name = "Negotiation"
type = "Common Skill"

[[skills]]
name = "Instructing"
type = "Specialized Skill"

[[skills]]
name = "Active Learning"
type = "Common Skill"

[[skills]]
name = "Learning Strategies"
type = "Specialized Skill"

[[skills]]
name = "Telecommunications"
type = "Specialized Skill"

[[skills]]
name = "Email Software"
type = "Specialized Skill"

[[skills]]
name = "Systems Analysis"
type = "Specialized Skill"

[[skills]]
name = "Psychology"
type = "Specialized Skill"

[[skills]]
name = "Geography"
type = "Specialized Skill"

[[skills]]
name = "Physics"
type = "Specialized Skill"

[[skills]]
name = "Equipment Maintenance"
type = "Specialized Skill"

[[skills]]
name = "Foreign Language"
type = "Common Skill"

[[skills]]
name = "Biology"
type = "Specialized Skill"

[[skills]]
name = "Chemistry"
type = "Specialized Skill"

[[skills]]
name = "Equipment Selection"
type = "Specialized Skill"

[[skills]]
name = "Installation"
type = "Specialized Skill"

[[tools]]
example = "Microsoft Excel"
category = "Spreadsheet software"
hot = true
inDemand = false

[[tools]]
example = "Microsoft Office software"
category = "Office suite software"
hot = true
inDemand = false

[[tools]]
example = "Microsoft Outlook"
category = "Electronic mail software"
hot = true
inDemand = false

[[tools]]
example = "Microsoft Word"
category = "Word processing software"
hot = true
inDemand = false

[[tools]]
example = "CorePark Valet"
category = "Point of sale POS software"
hot = false
inDemand = false

[[tools]]
example = "Email software"
category = "Electronic mail software"
hot = false
inDemand = false

[[tools]]
example = "Payment processing software"
category = "Point of sale POS software"
hot = false
inDemand = false

[[tools]]
example = "SMS Valet"
category = "Point of sale POS software"
hot = false
inDemand = false

[[workContext]]
name = "Contact With Others"
value = 4.6

[[workContext]]
name = "Face-to-Face Discussions with Individuals and Within Teams"
value = 4.26

[[workContext]]
name = "Deal With External Customers or the Public in General"
value = 4.25

[[workContext]]
name = "Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls"
value = 4.21

[[workContext]]
name = "In an Enclosed Vehicle or Operate Enclosed Equipment"
value = 3.97

[[workContext]]
name = "Importance of Being Exact or Accurate"
value = 3.95

[[workContext]]
name = "Physical Proximity"
value = 3.93

[[workContext]]
name = "Spend Time Walking or Running"
value = 3.87

[[workContext]]
name = "Work With or Contribute to a Work Group or Team"
value = 3.8

[[workContext]]
name = "Spend Time Making Repetitive Motions"
value = 3.79

[[workContext]]
name = "Telephone Conversations"
value = 3.74

[[workContext]]
name = "Outdoors, Exposed to All Weather Conditions"
value = 3.61

[[workContext]]
name = "Impact of Decisions on Co-workers or Company Results"
value = 3.59

[[workContext]]
name = "Coordinate or Lead Others in Accomplishing Work Activities"
value = 3.54

[[workContext]]
name = "Dealing With Unpleasant, Angry, or Discourteous People"
value = 3.53

[[workContext]]
name = "Exposed to Contaminants"
value = 3.51

[[workContext]]
name = "Indoors, Environmentally Controlled"
value = 3.46

[[workContext]]
name = "Consequence of Error"
value = 3.46

[[workContext]]
name = "Outdoors, Under Cover"
value = 3.45

[[workContext]]
name = "Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable"
value = 3.42

[[workContext]]
name = "Exposed to Very Hot or Cold Temperatures"
value = 3.42

[[workContext]]
name = "Determine Tasks, Priorities and Goals"
value = 3.41

[[workContext]]
name = "Spend Time Bending or Twisting Your Body"
value = 3.36

[[workContext]]
name = "Frequency of Decision Making"
value = 3.24

[[workContext]]
name = "Health and Safety of Other Workers"
value = 3.21

[[workContext]]
name = "Importance of Repeating Same Tasks"
value = 3.17

[[workContext]]
name = "Spend Time Standing"
value = 3.07

[[workContext]]
name = "Spend Time Sitting"
value = 3.06

[[workContext]]
name = "Time Pressure"
value = 2.99

[[workContext]]
name = "Freedom to Make Decisions"
value = 2.91

[[workContext]]
name = "Work Outcomes and Results of Other Workers"
value = 2.89

[[workContext]]
name = "Conflict Situations"
value = 2.72

[[workContext]]
name = "Written Letters and Memos"
value = 2.67

[[workContext]]
name = "Degree of Automation"
value = 2.59

[[workContext]]
name = "Level of Competition"
value = 2.34

[[workContext]]
name = "Public Speaking"
value = 2.23

[[workContext]]
name = "Pace Determined by Speed of Equipment"
value = 2.23

[[workContext]]
name = "Exposed to Hazardous Equipment"
value = 2.05

[[workContext]]
name = "Indoors, Not Environmentally Controlled"
value = 2

[[workContext]]
name = "Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets"
value = 1.89

[[personFit]]
name = "Realistic"
family = "career_interest_type"
value = 5.64

[[personFit]]
name = "Conventional"
family = "career_interest_type"
value = 5.07

[[personFit]]
name = "Transportation/Machine Operation"
family = "specific_interest_area"
value = 4.05

[[personFit]]
name = "Physical/Manual Labor"
family = "specific_interest_area"
value = 3.2

[[personFit]]
name = "Enterprising"
family = "career_interest_type"
value = 3.12

[[personFit]]
name = "Social"
family = "career_interest_type"
value = 3.03

[[personFit]]
name = "Personal Service"
family = "specific_interest_area"
value = 2.93

[[personFit]]
name = "Dependability"
family = "work_style"
value = 2.03

[[personFit]]
name = "Cooperation"
family = "work_style"
value = 1.7

[[personFit]]
name = "Sales"
family = "specific_interest_area"
value = 1.6

[[personFit]]
name = "Protective Service"
family = "specific_interest_area"
value = 1.55

[[personFit]]
name = "Accounting"
family = "specific_interest_area"
value = 1.51

[[personFit]]
name = "Integrity"
family = "work_style"
value = 1.51

[[personFit]]
name = "Attention to Detail"
family = "work_style"
value = 1.44

[[personFit]]
name = "Optimism"
family = "work_style"
value = 1.36

[[personFit]]
name = "Social Orientation"
family = "work_style"
value = 1.31

[[relatedRoles]]
socCode = "53-3053.00"
slug = "role-53-3053-00"
title = "Shuttle Drivers and Chauffeurs"
tier = "Primary-Short"

[[relatedRoles]]
socCode = "33-3041.00"
slug = "role-33-3041-00"
title = "Parking Enforcement Workers"
tier = "Primary-Short"

[[relatedRoles]]
socCode = "39-6011.00"
slug = "role-39-6011-00"
title = "Baggage Porters and Bellhops"
tier = "Primary-Short"

[[relatedRoles]]
socCode = "53-3054.00"
slug = "role-53-3054-00"
title = "Taxi Drivers"
tier = "Primary-Short"

[[relatedRoles]]
socCode = "41-2021.00"
slug = "role-41-2021-00"
title = "Counter and Rental Clerks"
tier = "Primary-Short"

[[relatedRoles]]
socCode = "53-6061.00"
slug = "role-53-6061-00"
title = "Passenger Attendants"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "39-6012.00"
slug = "role-39-6012-00"
title = "Concierges"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "39-3093.00"
slug = "role-39-3093-00"
title = "Locker Room, Coatroom, and Dressing Room Attendants"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "53-3052.00"
slug = "role-53-3052-00"
title = "Bus Drivers, Transit and Intercity"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "39-3091.00"
slug = "role-39-3091-00"
title = "Amusement and Recreation Attendants"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "53-3033.00"
slug = "role-53-3033-00"
title = "Light Truck Drivers"
tier = "Supplemental"

[[relatedRoles]]
socCode = "43-5032.00"
slug = "role-43-5032-00"
title = "Dispatchers, Except Police, Fire, and Ambulance"
tier = "Supplemental"

[[careerClusters]]
cluster = "Supply Chain & Transportation"
slug = "supply-chain-transportation"

[[aiSignals]]
source = "frey_osborne"
label = "Computerization probability"
score = 0.87
scale = "0-1 probability"
release = "2013-baseline-2016-employment-snapshot"

[[aiSignals]]
source = "felten_aioe"
label = "AI occupational exposure"
score = -0.8353891
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"

[[aiSignals]]
source = "felten_image_generation_aioe"
label = "Image generation occupational exposure"
score = -0.0814306
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"

[[aiSignals]]
source = "felten_language_modeling_aioe"
label = "Language modeling occupational exposure"
score = -1.037648
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"
