entityType = "role"
schemaVersion = "role.v1"
slug = "role-53-7061-00"
socCode = "53-7061.00"
title = "Cleaners of Vehicles and Equipment"
summary = "Wash or otherwise clean vehicles, machinery, and other equipment. Use such materials as water, cleaning agents, brushes, cloths, and hoses."
aliases = ["Automotive Detailer (Auto Detailer)", "Car Washer", "Detailer", "Reconditioner", "Aircraft Cleaner", "Bus Cleaner", "Car Detailer", "Cleaner", "Detail Technician (Detail Tech)", "Sanitation Truck Cleaner", "Aircraft Cabin Cleaner", "Aircraft Detailer"]
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 = 54.02

[[preparation.educationDistribution]]
label = "Less than a High School Diploma"
percentage = 23.76

[[preparation.educationDistribution]]
label = "Post-Secondary Certificate"
percentage = 2.27

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

[market]
medianWage = 35270
meanWage = 36290
pct10Wage = 26740
pct25Wage = 29790
pct75Wage = 39630
pct90Wage = 47150
employment = 373960
areaTitle = "U.S."

[industries]
count = 29

[[industries.top]]
naics = "81"
slug = "81"
title = "Other Services (except Public Administration)"
level = "Sector"
employment = 155340
medianWage = 32640
lq = 14.47

[[industries.top]]
naics = "44-45"
slug = "44-45"
title = "Retail Trade"
level = "Sector"
employment = 86960
medianWage = 34850
lq = 2.3

[[industries.top]]
naics = "31-33"
slug = "31-33"
title = "Manufacturing"
level = "Sector"
employment = 30570
medianWage = 41490
lq = 0.99

[[industries.top]]
naics = "53"
slug = "53"
title = "Real Estate and Rental and Leasing"
level = "Sector"
employment = 26370
medianWage = 36280
lq = 4.59

[[industries.top]]
naics = "56"
slug = "56"
title = "Administrative and Support and Waste Management and Remediation Services"
level = "Sector"
employment = 26320
medianWage = 37820
lq = 1.2

[[industries.top]]
naics = "48-49"
slug = "48-49"
title = "Transportation and Warehousing"
level = "Sector"
employment = 24950
medianWage = 39710
lq = 1.39

[[industries.top]]
naics = "42"
slug = "42"
title = "Wholesale Trade"
level = "Sector"
employment = 8600
medianWage = 38520
lq = 0.59

[[industries.top]]
naics = "561320"
slug = "561320"
title = "Temporary Help Services"
level = "National industry"
employment = 5520
medianWage = 33340
lq = 0.86

[[industries.top]]
naics = "11"
slug = "11"
title = "Agriculture, Forestry, Fishing and Hunting"
level = "Sector"
employment = 2090
medianWage = 37230
lq = 2.04

[[industries.top]]
naics = "71"
slug = "71"
title = "Arts, Entertainment, and Recreation"
level = "Sector"
employment = 1450
medianWage = 26000
lq = 0.23

[[industries.top]]
naics = "54"
slug = "54"
title = "Professional, Scientific, and Technical Services"
level = "Sector"
employment = 1300
medianWage = 43920
lq = 0.05

[[industries.top]]
naics = "23"
slug = "23"
title = "Construction"
level = "Sector"
employment = 950
medianWage = 43570
lq = 0.05

[[industries.concentrated]]
naics = "81"
slug = "81"
title = "Other Services (except Public Administration)"
level = "Sector"
employment = 155340
lq = 14.47

[[industries.concentrated]]
naics = "53"
slug = "53"
title = "Real Estate and Rental and Leasing"
level = "Sector"
employment = 26370
lq = 4.59

[[industries.concentrated]]
naics = "44-45"
slug = "44-45"
title = "Retail Trade"
level = "Sector"
employment = 86960
lq = 2.3

[[industries.concentrated]]
naics = "423820"
slug = "423820"
title = "Farm and Garden Machinery and Equipment Merchant Wholesalers"
level = "National industry"
employment = 610
lq = 2.2

[[industries.concentrated]]
naics = "11"
slug = "11"
title = "Agriculture, Forestry, Fishing and Hunting"
level = "Sector"
employment = 2090
lq = 2.04

[[industries.concentrated]]
naics = "48-49"
slug = "48-49"
title = "Transportation and Warehousing"
level = "Sector"
employment = 24950
lq = 1.39

[[industries.concentrated]]
naics = "56"
slug = "56"
title = "Administrative and Support and Waste Management and Remediation Services"
level = "Sector"
employment = 26320
lq = 1.2

[[industries.concentrated]]
naics = "31-33"
slug = "31-33"
title = "Manufacturing"
level = "Sector"
employment = 30570
lq = 0.99

[aiOutlook]
teleworkable = false
usageTasks = []

[aiOutlook.index]
value = 9
percentile = 5
band = "Low"
version = "ai-exposure-index-v1"
componentCount = 3

[[aiOutlook.index.components]]
percentile = 4
source = "felten_aioe"

[[aiOutlook.index.components]]
percentile = 15
source = "openai_gpts_are_gpts"

[[aiOutlook.index.components]]
percentile = 7
source = "microsoft_working_with_ai"

[aiOutlook.freyHistorical]
source = "frey"
label = "Computerization probability (Frey & Osborne, 2013)"
value = 0.37
percentile = 42
band = "Moderate"
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 = 0.05555555555555555
beta = 0.08333333333333333
gamma = 0.1111111111111111

[aiOutlook.bls]
growthPercent = 3.9
growthPercentile = 63
direction = "About average"
annualOpeningsThousands = 56.2
annualOpeningsPercentile = 91
employment2024Thousands = 410.1
employment2034Thousands = 426.2

[[aiOutlook.exposure]]
source = "felten_aioe"
label = "Overall AI exposure (Felten et al.)"
value = -1.629897
percentile = 4
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 = 0.1111111111111111
percentile = 15
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 = 0.03875246813904561
percentile = 7
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 = "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"

[counts]
tasks = 20
skills = 32
capabilities = 120
tools = 6
relatedRoles = 20

[source]
dataset = "gold.onet_role_starter_surface"
version = "30.3"
generatedAt = "2026-06-02T21:00:32.945303+00:00"
contentHash = "b601c27e00a654e1"

[[tasks]]
text = "Rinse objects and place them on drying racks or use cloth, squeegees, or air compressors to dry surfaces."
type = "Core"
iwa = "4.A.3.a.1.c"

[[tasks]]
text = "Apply paints, dyes, polishes, reconditioners, waxes, or masking materials to vehicles to preserve, protect, or restore color or condition."
type = "Core"
iwa = "4.A.3.a.2.ag"

[[tasks]]
text = "Clean and polish vehicle windows."
type = "Core"
iwa = "4.A.3.a.1.c"

[[tasks]]
text = "Drive vehicles to or from workshops or customers' workplaces or homes."
type = "Core"
iwa = "4.A.3.a.4.a"

[[tasks]]
text = "Scrub, scrape, or spray machine parts, equipment, or vehicles, using scrapers, brushes, clothes, cleaners, disinfectants, insecticides, acid, abrasives, vacuums, or hoses."
type = "Core"
iwa = "4.A.3.a.1.c"

[[tasks]]
text = "Clean the plastic work inside cars, using paintbrushes."
type = "Supplemental"
iwa = "4.A.3.a.1.c"

[[tasks]]
text = "Inspect parts, equipment, or vehicles for cleanliness, damage, and compliance with standards or regulations."
type = "Core"
iwa = "4.A.1.b.2.d"

[[tasks]]
text = "Mix cleaning solutions, abrasive compositions, or other compounds, according to formulas."
type = "Core"
iwa = "4.A.3.a.1.a"

[[tasks]]
text = "Disassemble and reassemble machines or equipment or remove and reattach vehicle parts or trim, using hand tools."
type = "Supplemental"
iwa = "4.A.3.a.2.d"

[[tasks]]
text = "Maintain inventories of supplies."
type = "Core"
iwa = "4.A.4.c.3.e"

[[tasks]]
text = "Pre-soak or rinse machine parts, equipment, or vehicles by immersing objects in cleaning solutions or water, manually or using hoists."
type = "Core"
iwa = "4.A.3.a.1.c"

[[tasks]]
text = "Turn valves or disconnect hoses to eliminate water, cleaning solutions, or vapors from machinery or tanks."
type = "Core"
iwa = "4.A.3.a.3.b"

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

[[activities]]
name = "Clean machinery or equipment."
iwa = "4.A.3.a.1.c"

[[activities]]
name = "Clean vehicles or vehicle components."
iwa = "4.A.3.a.1.c"

[[activities]]
name = "Mix substances or compounds needed for work activities."
iwa = "4.A.3.a.1.a"

[[activities]]
name = "Operate industrial equipment."
iwa = "4.A.3.a.3.f"

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

[[activities]]
name = "Control pumps or pumping equipment."
iwa = "4.A.3.a.3.b"

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

[[activities]]
name = "Monitor engine operation or functioning."
iwa = "4.A.1.a.2.a"

[[activities]]
name = "Report vehicle or equipment malfunctions."
iwa = "4.A.4.a.2.g"

[[activities]]
name = "Install parts, assemblies, or attachments in transportation or material handling equipment."
iwa = "4.A.3.a.2.d"

[[activities]]
name = "Connect hoses to equipment or machinery."
iwa = "4.A.3.a.2.ah"

[[activities]]
name = "Acquire supplies or equipment."
iwa = "4.A.4.c.3.e"

[[activities]]
name = "Apply protective or decorative finishes to workpieces or products."
iwa = "4.A.3.a.2.ag"

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

[[activities]]
name = "Remove debris or damaged materials."
iwa = "4.A.3.a.1.e"

[[activities]]
name = "Shovel materials."
iwa = "4.A.3.a.1.g"

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

[[capabilities]]
name = "Near Vision"
family = "ability"
value = 3.62

[[capabilities]]
name = "Customer and Personal Service"
family = "knowledge"
value = 3.54

[[capabilities]]
name = "English Language"
family = "knowledge"
value = 3.33

[[capabilities]]
name = "Manual Dexterity"
family = "ability"
value = 3.25

[[capabilities]]
name = "Extent Flexibility"
family = "ability"
value = 3.25

[[capabilities]]
name = "Transportation"
family = "knowledge"
value = 3.14

[[capabilities]]
name = "Multilimb Coordination"
family = "ability"
value = 3.12

[[capabilities]]
name = "Operation and Control"
family = "transferable_skill"
value = 3

[[capabilities]]
name = "Quality Control Analysis"
family = "transferable_skill"
value = 3

[[capabilities]]
name = "Problem Sensitivity"
family = "ability"
value = 3

[[capabilities]]
name = "Finger Dexterity"
family = "ability"
value = 3

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

[[capabilities]]
name = "Trunk Strength"
family = "ability"
value = 3

[[capabilities]]
name = "Stamina"
family = "ability"
value = 3

[[capabilities]]
name = "Administration and Management"
family = "knowledge"
value = 2.9

[[capabilities]]
name = "Operations Monitoring"
family = "transferable_skill"
value = 2.88

[[capabilities]]
name = "Oral Comprehension"
family = "ability"
value = 2.88

[[capabilities]]
name = "Deductive Reasoning"
family = "ability"
value = 2.88

[[capabilities]]
name = "Arm-Hand Steadiness"
family = "ability"
value = 2.88

[[capabilities]]
name = "Public Safety and Security"
family = "knowledge"
value = 2.86

[[capabilities]]
name = "Production and Processing"
family = "knowledge"
value = 2.83

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

[[capabilities]]
name = "Time Management"
family = "transferable_skill"
value = 2.75

[[capabilities]]
name = "Oral Expression"
family = "ability"
value = 2.75

[[capabilities]]
name = "Information Ordering"
family = "ability"
value = 2.75

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

[[capabilities]]
name = "Speech Recognition"
family = "ability"
value = 2.75

[[capabilities]]
name = "Mechanical"
family = "knowledge"
value = 2.64

[[capabilities]]
name = "Speaking"
family = "essential_skill"
value = 2.62

[[capabilities]]
name = "Speech Clarity"
family = "ability"
value = 2.62

[[capabilities]]
name = "Education and Training"
family = "knowledge"
value = 2.55

[[capabilities]]
name = "Active Listening"
family = "essential_skill"
value = 2.5

[[capabilities]]
name = "Inductive Reasoning"
family = "ability"
value = 2.5

[[capabilities]]
name = "Mathematics"
family = "knowledge"
value = 2.46

[[capabilities]]
name = "Chemistry"
family = "knowledge"
value = 2.41

[[capabilities]]
name = "Personnel and Human Resources"
family = "knowledge"
value = 2.4

[[capabilities]]
name = "Service Orientation"
family = "transferable_skill"
value = 2.38

[[capabilities]]
name = "Category Flexibility"
family = "ability"
value = 2.38

[[capabilities]]
name = "Dynamic Strength"
family = "ability"
value = 2.38

[[capabilities]]
name = "Far Vision"
family = "ability"
value = 2.38

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

[[tools]]
example = "Microsoft Windows"
category = "Operating system software"
hot = true
inDemand = false

[[tools]]
example = "Bella FSM Auto Detailing Service Software"
category = "Data base user interface and query software"
hot = false
inDemand = false

[[tools]]
example = "BookFresh"
category = "Calendar and scheduling software"
hot = false
inDemand = false

[[tools]]
example = "Green Cloud KleanTRAC"
category = "Data base user interface and query software"
hot = false
inDemand = false

[[tools]]
example = "Inventory tracking software"
category = "Inventory management software"
hot = false
inDemand = false

[[tools]]
example = "Thoughtful Systems Scheduling Manager for Auto Detailing"
category = "Calendar and scheduling software"
hot = false
inDemand = false

[[workContext]]
name = "In an Enclosed Vehicle or Operate Enclosed Equipment"
value = 4.94

[[workContext]]
name = "Exposed to Contaminants"
value = 4.77

[[workContext]]
name = "Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets"
value = 4.65

[[workContext]]
name = "Spend Time Making Repetitive Motions"
value = 4.43

[[workContext]]
name = "Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls"
value = 4.38

[[workContext]]
name = "Indoors, Not Environmentally Controlled"
value = 4.28

[[workContext]]
name = "Freedom to Make Decisions"
value = 4.24

[[workContext]]
name = "Time Pressure"
value = 4.2

[[workContext]]
name = "Spend Time Standing"
value = 4.18

[[workContext]]
name = "Determine Tasks, Priorities and Goals"
value = 4.1

[[workContext]]
name = "Face-to-Face Discussions with Individuals and Within Teams"
value = 4.05

[[workContext]]
name = "Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable"
value = 3.96

[[workContext]]
name = "Spend Time Walking or Running"
value = 3.94

[[workContext]]
name = "Outdoors, Under Cover"
value = 3.87

[[workContext]]
name = "Exposed to Very Hot or Cold Temperatures"
value = 3.85

[[workContext]]
name = "Importance of Being Exact or Accurate"
value = 3.82

[[workContext]]
name = "Spend Time Bending or Twisting Your Body"
value = 3.77

[[workContext]]
name = "Work With or Contribute to a Work Group or Team"
value = 3.72

[[workContext]]
name = "Health and Safety of Other Workers"
value = 3.66

[[workContext]]
name = "Contact With Others"
value = 3.57

[[workContext]]
name = "Work Outcomes and Results of Other Workers"
value = 3.49

[[workContext]]
name = "Impact of Decisions on Co-workers or Company Results"
value = 3.35

[[workContext]]
name = "Physical Proximity"
value = 3.23

[[workContext]]
name = "Exposed to Hazardous Conditions"
value = 3.16

[[workContext]]
name = "Spend Time Kneeling, Crouching, Stooping, or Crawling"
value = 3.14

[[workContext]]
name = "Frequency of Decision Making"
value = 3.14

[[workContext]]
name = "Exposed to Cramped Work Space, Awkward Positions"
value = 3.12

[[workContext]]
name = "Importance of Repeating Same Tasks"
value = 3.12

[[workContext]]
name = "Consequence of Error"
value = 3.04

[[workContext]]
name = "Coordinate or Lead Others in Accomplishing Work Activities"
value = 2.9

[[workContext]]
name = "Outdoors, Exposed to All Weather Conditions"
value = 2.89

[[workContext]]
name = "Telephone Conversations"
value = 2.81

[[workContext]]
name = "Exposed to Hazardous Equipment"
value = 2.73

[[workContext]]
name = "Conflict Situations"
value = 2.71

[[workContext]]
name = "Level of Competition"
value = 2.61

[[workContext]]
name = "In an Open Vehicle or Operating Equipment"
value = 2.6

[[workContext]]
name = "Indoors, Environmentally Controlled"
value = 2.54

[[workContext]]
name = "Exposed to Minor Burns, Cuts, Bites, or Stings"
value = 2.51

[[workContext]]
name = "Wear Specialized Protective or Safety Equipment such as Breathing Apparatus, Safety Harness, Full Protection Suits, or Radiation Protection"
value = 2.49

[[workContext]]
name = "Deal With External Customers or the Public in General"
value = 2.45

[[personFit]]
name = "Realistic"
family = "career_interest_type"
value = 7

[[personFit]]
name = "Physical/Manual Labor"
family = "specific_interest_area"
value = 5.77

[[personFit]]
name = "Conventional"
family = "career_interest_type"
value = 4.04

[[personFit]]
name = "Transportation/Machine Operation"
family = "specific_interest_area"
value = 2.49

[[personFit]]
name = "Dependability"
family = "work_style"
value = 1.88

[[personFit]]
name = "Attention to Detail"
family = "work_style"
value = 1.76

[[personFit]]
name = "Mechanics/Electronics"
family = "specific_interest_area"
value = 1.65

[[personFit]]
name = "Personal Service"
family = "specific_interest_area"
value = 1.43

[[personFit]]
name = "Engineering"
family = "specific_interest_area"
value = 1.26

[[personFit]]
name = "Investigative"
family = "career_interest_type"
value = 1.15

[[personFit]]
name = "Sales"
family = "specific_interest_area"
value = 1.12

[[personFit]]
name = "Nature/Outdoors"
family = "specific_interest_area"
value = 1.11

[[personFit]]
name = "Construction/Woodwork"
family = "specific_interest_area"
value = 1.09

[[personFit]]
name = "Agriculture"
family = "specific_interest_area"
value = 1.08

[[personFit]]
name = "Management/Administration"
family = "specific_interest_area"
value = 1.08

[[personFit]]
name = "Applied Arts and Design"
family = "specific_interest_area"
value = 1.05

[[relatedRoles]]
socCode = "51-6011.00"
slug = "role-51-6011-00"
title = "Laundry and Dry-Cleaning Workers"
tier = "Primary-Short"

[[relatedRoles]]
socCode = "51-9192.00"
slug = "role-51-9192-00"
title = "Cleaning, Washing, and Metal Pickling Equipment Operators and Tenders"
tier = "Primary-Short"

[[relatedRoles]]
socCode = "37-2011.00"
slug = "role-37-2011-00"
title = "Janitors and Cleaners, Except Maids and Housekeeping Cleaners"
tier = "Primary-Short"

[[relatedRoles]]
socCode = "47-4071.00"
slug = "role-47-4071-00"
title = "Septic Tank Servicers and Sewer Pipe Cleaners"
tier = "Primary-Short"

[[relatedRoles]]
socCode = "49-9043.00"
slug = "role-49-9043-00"
title = "Maintenance Workers, Machinery"
tier = "Primary-Short"

[[relatedRoles]]
socCode = "51-9124.00"
slug = "role-51-9124-00"
title = "Coating, Painting, and Spraying Machine Setters, Operators, and Tenders"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "53-7063.00"
slug = "role-53-7063-00"
title = "Machine Feeders and Offbearers"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "51-9012.00"
slug = "role-51-9012-00"
title = "Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "49-9031.00"
slug = "role-49-9031-00"
title = "Home Appliance Repairers"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "35-9021.00"
slug = "role-35-9021-00"
title = "Dishwashers"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "51-9022.00"
slug = "role-51-9022-00"
title = "Grinding and Polishing Workers, Hand"
tier = "Supplemental"

[[relatedRoles]]
socCode = "51-9051.00"
slug = "role-51-9051-00"
title = "Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders"
tier = "Supplemental"

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

[[aiSignals]]
source = "frey_osborne"
label = "Computerization probability"
score = 0.37
scale = "0-1 probability"
release = "2013-baseline-2016-employment-snapshot"

[[aiSignals]]
source = "felten_aioe"
label = "AI occupational exposure"
score = -1.629897
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"

[[aiSignals]]
source = "felten_image_generation_aioe"
label = "Image generation occupational exposure"
score = -1.417647
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"

[[aiSignals]]
source = "felten_language_modeling_aioe"
label = "Language modeling occupational exposure"
score = -1.535339
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"
