entityType = "role"
schemaVersion = "role.v1"
slug = "role-53-6031-00"
socCode = "53-6031.00"
title = "Automotive and Watercraft Service Attendants"
summary = "Service automobiles, buses, trucks, boats, and other automotive or marine vehicles with fuel, lubricants, and accessories. Collect payment for services and supplies. May lubricate vehicle, change motor oil, refill antifreeze, or replace lights or other accessories, such as windshield wiper blades or fan belts. May repair or replace tires."
aliases = ["Attendant", "Fuel Dock Attendant", "Gas Attendant", "Service Station Attendant", "Dock Attendant", "Dock Hand", "Fuel Attendant", "Gas Pumper", "Marine Fuel Dock Attendant", "Auto Garage Attendant", "Auto Self Service Station Attendant", "Auto Service Station Attendant"]
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 = 58.62

[[preparation.educationDistribution]]
label = "Post-Secondary Certificate"
percentage = 22.65

[[preparation.educationDistribution]]
label = "Less than a High School Diploma"
percentage = 16.3

[[preparation.educationDistribution]]
label = "Some College Courses"
percentage = 2.43

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

[market]
medianWage = 34850
meanWage = 35800
pct10Wage = 27870
pct25Wage = 30600
pct75Wage = 38430
pct90Wage = 45240
employment = 98270
areaTitle = "U.S."

[industries]
count = 16

[[industries.top]]
naics = "44-45"
slug = "44-45"
title = "Retail Trade"
level = "Sector"
employment = 49550
medianWage = 34980
lq = 4.99

[[industries.top]]
naics = "81"
slug = "81"
title = "Other Services (except Public Administration)"
level = "Sector"
employment = 39810
medianWage = 34450
lq = 14.11

[[industries.top]]
naics = "71"
slug = "71"
title = "Arts, Entertainment, and Recreation"
level = "Sector"
employment = 2080
medianWage = 36830
lq = 1.24

[[industries.top]]
naics = "53"
slug = "53"
title = "Real Estate and Rental and Leasing"
level = "Sector"
employment = 1760
medianWage = 31740
lq = 1.17

[[industries.top]]
naics = "48-49"
slug = "48-49"
title = "Transportation and Warehousing"
level = "Sector"
employment = 1280
medianWage = 40080
lq = 0.27

[[industries.top]]
naics = "42"
slug = "42"
title = "Wholesale Trade"
level = "Sector"
employment = 940
medianWage = 34500
lq = 0.24

[[industries.top]]
naics = "56"
slug = "56"
title = "Administrative and Support and Waste Management and Remediation Services"
level = "Sector"
employment = 920
medianWage = 36770
lq = 0.16

[[industries.top]]
naics = "561320"
slug = "561320"
title = "Temporary Help Services"
level = "National industry"
employment = 250
medianWage = 32510
lq = 0.15

[[industries.top]]
naics = "23"
slug = "23"
title = "Construction"
level = "Sector"
employment = 170
medianWage = 53810
lq = 0.03

[[industries.top]]
naics = "72"
slug = "72"
title = "Accommodation and Food Services"
level = "Sector"
employment = 110
medianWage = 31790
lq = 0.01

[[industries.top]]
naics = "61"
slug = "61"
title = "Educational Services"
level = "Sector"
employment = 70
medianWage = 47410

[[industries.top]]
naics = "55"
slug = "55"
title = "Management of Companies and Enterprises"
level = "Sector"
employment = 50
medianWage = 36260

[[industries.concentrated]]
naics = "81"
slug = "81"
title = "Other Services (except Public Administration)"
level = "Sector"
employment = 39810
lq = 14.11

[[industries.concentrated]]
naics = "44-45"
slug = "44-45"
title = "Retail Trade"
level = "Sector"
employment = 49550
lq = 4.99

[[industries.concentrated]]
naics = "71"
slug = "71"
title = "Arts, Entertainment, and Recreation"
level = "Sector"
employment = 2080
lq = 1.24

[[industries.concentrated]]
naics = "53"
slug = "53"
title = "Real Estate and Rental and Leasing"
level = "Sector"
employment = 1760
lq = 1.17

[[industries.concentrated]]
naics = "48-49"
slug = "48-49"
title = "Transportation and Warehousing"
level = "Sector"
employment = 1280
lq = 0.27

[[industries.concentrated]]
naics = "42"
slug = "42"
title = "Wholesale Trade"
level = "Sector"
employment = 940
lq = 0.24

[[industries.concentrated]]
naics = "56"
slug = "56"
title = "Administrative and Support and Waste Management and Remediation Services"
level = "Sector"
employment = 920
lq = 0.16

[[industries.concentrated]]
naics = "561320"
slug = "561320"
title = "Temporary Help Services"
level = "National industry"
employment = 250
lq = 0.15

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

[aiOutlook.index]
value = 12
percentile = 8
band = "Low"
version = "ai-exposure-index-v1"
componentCount = 3

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

[[aiOutlook.index.components]]
percentile = 18
source = "openai_gpts_are_gpts"

[[aiOutlook.index.components]]
percentile = 9
source = "microsoft_working_with_ai"

[aiOutlook.freyHistorical]
source = "frey"
label = "Computerization probability (Frey & Osborne, 2013)"
value = 0.83
percentile = 68
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 = 0.13043478260869565
beta = 0.13043478260869565
gamma = 0.13043478260869565

[aiOutlook.bls]
growthPercent = -1
growthPercentile = 22
direction = "Declining"
annualOpeningsThousands = 14.4
annualOpeningsPercentile = 72
employment2024Thousands = 100
employment2034Thousands = 99

[[aiOutlook.exposure]]
source = "felten_aioe"
label = "Overall AI exposure (Felten et al.)"
value = -1.221489
percentile = 10
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 = 0.13043478260869565
percentile = 18
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 = 0.044187205186551996
percentile = 9
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.usageTasks]]
task = "Test and charge batteries."
usagePercent = 0.009757239871985013
importance = 3.78

[[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 = 3
taskCount = 3
totalSample = 130
autonomyMedian = 3
dominantCollaboration = "learning"
automationShare = 15.38
augmentationShare = 22.31
release = "2026-01-15-v4-plus-2025-03-27-v2"

[[aiPlaybook.collaboration]]
label = "learning"
percent = 22.31

[[aiPlaybook.collaboration]]
label = "directive"
percent = 15.38

[[aiPlaybook.useCase]]
label = "personal"
percent = 86.15

[[aiPlaybook.delegatedTasks]]
task = "Test and charge batteries."
usagePercent = 0.004700587573446681
collaboration = "learning"
autonomyMedian = 4
sampleCount = 47

[[aiPlaybook.delegatedTasks]]
task = "Provide customers with information about local roads or highways."
usagePercent = 0.0043005375671959
collaboration = "directive"
autonomyMedian = 3
sampleCount = 43

[[aiPlaybook.delegatedTasks]]
task = "Check air pressure in vehicle tires; and levels of fuel, motor oil, transmission, radiator, battery, and other fluids; and add air, oil, water, or other fluids, as required."
usagePercent = 0.004000500062507814
autonomyMedian = 3
sampleCount = 40

[[aiPlaybook.boundaryTasks]]
task = "Provide customers with information about local roads or highways."
humanNeededPercent = 100
sampleCount = 43

[[aiPlaybook.boundaryTasks]]
task = "Check air pressure in vehicle tires; and levels of fuel, motor oil, transmission, radiator, battery, and other fluids; and add air, oil, water, or other fluids, as required."
humanNeededPercent = 100
sampleCount = 40

[[aiPlaybook.boundaryTasks]]
task = "Test and charge batteries."
humanNeededPercent = 87.2340425531915
sampleCount = 47

[[aiPlaybook.seedPrompts]]
prompt = "Teach me how to test and charge batteries, then check my work as I try it myself."
collaboration = "learning"

[[aiPlaybook.seedPrompts]]
prompt = "Do this for me: provide customers with information about local roads or highways. Give me a finished draft I can review and adjust."
collaboration = "directive"

[[aiPlaybook.seedPrompts]]
prompt = "Help me with this part of my job: check air pressure in vehicle tires; and levels of fuel, motor oil, transmission, radiator, battery, and other fluids; and add air, oil, water, or other fluids, as required"

[counts]
tasks = 14
skills = 35
capabilities = 120
tools = 10
relatedRoles = 20

[source]
dataset = "gold.onet_role_starter_surface"
version = "30.3"
generatedAt = "2026-06-02T21:00:32.945303+00:00"
contentHash = "622c95f18feac4d0"

[[tasks]]
text = "Collect cash payments from customers, and make change or charge purchases to customers' credit cards, providing customers with receipts."
type = "Core"
iwa = "4.A.4.c.3.d"

[[tasks]]
text = "Prepare daily reports of fuel, oil, and accessory sales."
type = "Supplemental"
iwa = "4.A.3.b.6.j"

[[tasks]]
text = "Check tire pressure and levels of fuel, motor oil, transmission, radiator, battery, or other fluids, adding air or fluids as required."
type = "Core"
iwa = "4.A.1.b.3.a"

[[tasks]]
text = "Perform minor repairs, such as adjusting brakes, replacing spark plugs, or changing engine oil or filters."
type = "Core"
iwa = "4.A.3.b.4.e"

[[tasks]]
text = "Clean windshields."
type = "Supplemental"
iwa = "4.A.3.a.1.c"

[[tasks]]
text = "Clean parking areas, offices, restrooms, or equipment, and remove trash."
type = "Core"
iwa = "4.A.3.a.1.c"

[[tasks]]
text = "Order stock, and price and shelve incoming goods."
type = "Core"
iwa = "4.A.4.c.3.e"

[[tasks]]
text = "Activate fuel pumps and fill fuel tanks of vehicles with gasoline or diesel fuel to specified levels."
type = "Supplemental"
iwa = "4.A.3.a.3.b"

[[tasks]]
text = "Sell and install accessories, such as batteries, windshield wiper blades, fan belts, bulbs, or headlamps."
type = "Core"
iwa = "4.A.3.a.2.d"

[[tasks]]
text = "Grease and lubricate vehicles or specified units, such as springs, universal joints, or steering knuckles, using grease guns or spray lubricants."
type = "Core"
iwa = "4.A.3.b.4.e"

[[tasks]]
text = "Test and charge batteries."
type = "Supplemental"
iwa = "4.A.1.b.2.d"

[[tasks]]
text = "Rotate, test, and repair or replace tires."
type = "Core"
iwa = "4.A.3.b.4.e"

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

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

[[activities]]
name = "Record sales or transactions data."
iwa = "4.A.3.b.6.j"

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

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

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

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

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

[[activities]]
name = "Maintain watercraft engines or machinery."
iwa = "4.A.3.b.4.e"

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

[[activities]]
name = "Sell products or services."
iwa = "4.A.4.a.6.b"

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

[[activities]]
name = "Measure the level or depth of water or other liquids."
iwa = "4.A.1.b.3.a"

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

[[capabilities]]
name = "Customer and Personal Service"
family = "knowledge"
value = 4.64

[[capabilities]]
name = "Mechanical"
family = "knowledge"
value = 4.4

[[capabilities]]
name = "Sales and Marketing"
family = "knowledge"
value = 3.99

[[capabilities]]
name = "Administration and Management"
family = "knowledge"
value = 3.76

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

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

[[capabilities]]
name = "Mathematics"
family = "knowledge"
value = 3.27

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

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

[[capabilities]]
name = "Control Precision"
family = "ability"
value = 3.25

[[capabilities]]
name = "Trunk Strength"
family = "ability"
value = 3.25

[[capabilities]]
name = "Near Vision"
family = "ability"
value = 3.25

[[capabilities]]
name = "Active Listening"
family = "essential_skill"
value = 3.12

[[capabilities]]
name = "Speaking"
family = "essential_skill"
value = 3.12

[[capabilities]]
name = "Service Orientation"
family = "transferable_skill"
value = 3.12

[[capabilities]]
name = "Operation and Control"
family = "transferable_skill"
value = 3.12

[[capabilities]]
name = "Time Management"
family = "transferable_skill"
value = 3.12

[[capabilities]]
name = "Deductive Reasoning"
family = "ability"
value = 3.12

[[capabilities]]
name = "Information Ordering"
family = "ability"
value = 3.12

[[capabilities]]
name = "Arm-Hand Steadiness"
family = "ability"
value = 3.12

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

[[capabilities]]
name = "Static Strength"
family = "ability"
value = 3.12

[[capabilities]]
name = "Stamina"
family = "ability"
value = 3.12

[[capabilities]]
name = "Extent Flexibility"
family = "ability"
value = 3.12

[[capabilities]]
name = "Speech Recognition"
family = "ability"
value = 3.12

[[capabilities]]
name = "Critical Thinking"
family = "essential_skill"
value = 3

[[capabilities]]
name = "Coordination"
family = "transferable_skill"
value = 3

[[capabilities]]
name = "Complex Problem Solving"
family = "transferable_skill"
value = 3

[[capabilities]]
name = "Equipment Maintenance"
family = "transferable_skill"
value = 3

[[capabilities]]
name = "Repairing"
family = "transferable_skill"
value = 3

[[capabilities]]
name = "Judgment and Decision Making"
family = "transferable_skill"
value = 3

[[capabilities]]
name = "Administrative"
family = "knowledge"
value = 3

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

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

[[capabilities]]
name = "Far Vision"
family = "ability"
value = 3

[[capabilities]]
name = "Speech Clarity"
family = "ability"
value = 3

[[capabilities]]
name = "Engineering and Technology"
family = "knowledge"
value = 2.98

[[capabilities]]
name = "Education and Training"
family = "knowledge"
value = 2.98

[[capabilities]]
name = "Chemistry"
family = "knowledge"
value = 2.93

[[capabilities]]
name = "Computers and Electronics"
family = "knowledge"
value = 2.89

[[skills]]
name = "Microsoft Edge"
type = "Specialized Skill"

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

[[tools]]
example = "Apple Safari"
category = "Internet browser software"
hot = true
inDemand = true

[[tools]]
example = "Microsoft Edge"
category = "Internet browser software"
hot = true
inDemand = true

[[tools]]
example = "Mozilla Firefox"
category = "Internet browser software"
hot = true
inDemand = true

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

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

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

[[tools]]
example = "Web browser software"
category = "Internet browser software"
hot = false
inDemand = true

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

[[tools]]
example = "Software libraries"
category = "Development environment software"
hot = false
inDemand = false

[[tools]]
example = "Timekeeping software"
category = "Time accounting software"
hot = false
inDemand = false

[[workContext]]
name = "Face-to-Face Discussions with Individuals and Within Teams"
value = 4.96

[[workContext]]
name = "Telephone Conversations"
value = 4.84

[[workContext]]
name = "Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets"
value = 4.75

[[workContext]]
name = "Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls"
value = 4.72

[[workContext]]
name = "Time Pressure"
value = 4.6

[[workContext]]
name = "Spend Time Standing"
value = 4.59

[[workContext]]
name = "Exposed to Contaminants"
value = 4.57

[[workContext]]
name = "Frequency of Decision Making"
value = 4.53

[[workContext]]
name = "Contact With Others"
value = 4.51

[[workContext]]
name = "Impact of Decisions on Co-workers or Company Results"
value = 4.5

[[workContext]]
name = "Importance of Being Exact or Accurate"
value = 4.48

[[workContext]]
name = "Outdoors, Exposed to All Weather Conditions"
value = 4.45

[[workContext]]
name = "Exposed to Hazardous Equipment"
value = 4.45

[[workContext]]
name = "Deal With External Customers or the Public in General"
value = 4.41

[[workContext]]
name = "Freedom to Make Decisions"
value = 4.4

[[workContext]]
name = "Work With or Contribute to a Work Group or Team"
value = 4.13

[[workContext]]
name = "Exposed to Minor Burns, Cuts, Bites, or Stings"
value = 4.13

[[workContext]]
name = "Spend Time Walking or Running"
value = 4.07

[[workContext]]
name = "Indoors, Not Environmentally Controlled"
value = 4

[[workContext]]
name = "Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable"
value = 4

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

[[workContext]]
name = "Spend Time Kneeling, Crouching, Stooping, or Crawling"
value = 3.75

[[workContext]]
name = "Determine Tasks, Priorities and Goals"
value = 3.75

[[workContext]]
name = "Consequence of Error"
value = 3.71

[[workContext]]
name = "Health and Safety of Other Workers"
value = 3.67

[[workContext]]
name = "Dealing With Unpleasant, Angry, or Discourteous People"
value = 3.64

[[workContext]]
name = "Exposed to Very Hot or Cold Temperatures"
value = 3.55

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

[[workContext]]
name = "Conflict Situations"
value = 3.43

[[workContext]]
name = "In an Enclosed Vehicle or Operate Enclosed Equipment"
value = 3.43

[[workContext]]
name = "Physical Proximity"
value = 3.4

[[workContext]]
name = "Coordinate or Lead Others in Accomplishing Work Activities"
value = 3.34

[[workContext]]
name = "Level of Competition"
value = 3.27

[[workContext]]
name = "Outdoors, Under Cover"
value = 3.09

[[workContext]]
name = "Spend Time Bending or Twisting Your Body"
value = 3.08

[[workContext]]
name = "Exposed to Hazardous Conditions"
value = 3.01

[[workContext]]
name = "Exposed to Cramped Work Space, Awkward Positions"
value = 2.99

[[workContext]]
name = "Importance of Repeating Same Tasks"
value = 2.68

[[workContext]]
name = "E-Mail"
value = 2.59

[[workContext]]
name = "Exposed to Extremely Bright or Inadequate Lighting Conditions"
value = 2.59

[[personFit]]
name = "Realistic"
family = "career_interest_type"
value = 6.4

[[personFit]]
name = "Physical/Manual Labor"
family = "specific_interest_area"
value = 4.8

[[personFit]]
name = "Mechanics/Electronics"
family = "specific_interest_area"
value = 4.45

[[personFit]]
name = "Conventional"
family = "career_interest_type"
value = 4.37

[[personFit]]
name = "Transportation/Machine Operation"
family = "specific_interest_area"
value = 2.81

[[personFit]]
name = "Engineering"
family = "specific_interest_area"
value = 2.24

[[personFit]]
name = "Sales"
family = "specific_interest_area"
value = 2.22

[[personFit]]
name = "Enterprising"
family = "career_interest_type"
value = 2.15

[[personFit]]
name = "Dependability"
family = "work_style"
value = 2.14

[[personFit]]
name = "Social"
family = "career_interest_type"
value = 1.97

[[personFit]]
name = "Personal Service"
family = "specific_interest_area"
value = 1.88

[[personFit]]
name = "Attention to Detail"
family = "work_style"
value = 1.71

[[personFit]]
name = "Accounting"
family = "specific_interest_area"
value = 1.68

[[personFit]]
name = "Cautiousness"
family = "work_style"
value = 1.41

[[personFit]]
name = "Construction/Woodwork"
family = "specific_interest_area"
value = 1.4

[[personFit]]
name = "Integrity"
family = "work_style"
value = 1.4

[[relatedRoles]]
socCode = "49-3023.00"
slug = "role-49-3023-00"
title = "Automotive Service Technicians and Mechanics"
tier = "Primary-Short"

[[relatedRoles]]
socCode = "53-7072.00"
slug = "role-53-7072-00"
title = "Pump Operators, Except Wellhead Pumpers"
tier = "Primary-Short"

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

[[relatedRoles]]
socCode = "53-7061.00"
slug = "role-53-7061-00"
title = "Cleaners of Vehicles and Equipment"
tier = "Primary-Short"

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

[[relatedRoles]]
socCode = "49-3031.00"
slug = "role-49-3031-00"
title = "Bus and Truck Mechanics and Diesel Engine Specialists"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "49-3043.00"
slug = "role-49-3043-00"
title = "Rail Car Repairers"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "53-6032.00"
slug = "role-53-6032-00"
title = "Aircraft Service Attendants"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "49-9012.00"
slug = "role-49-9012-00"
title = "Control and Valve Installers and Repairers, Except Mechanical Door"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "51-8021.00"
slug = "role-51-8021-00"
title = "Stationary Engineers and Boiler Operators"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "47-5071.00"
slug = "role-47-5071-00"
title = "Roustabouts, Oil and Gas"
tier = "Supplemental"

[[relatedRoles]]
socCode = "49-3093.00"
slug = "role-49-3093-00"
title = "Tire Repairers and Changers"
tier = "Supplemental"

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

[[aiSignals]]
source = "frey_osborne"
label = "Computerization probability"
score = 0.83
scale = "0-1 probability"
release = "2013-baseline-2016-employment-snapshot"

[[aiSignals]]
source = "felten_aioe"
label = "AI occupational exposure"
score = -1.221489
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"

[[aiSignals]]
source = "felten_image_generation_aioe"
label = "Image generation occupational exposure"
score = -1.336295
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"

[[aiSignals]]
source = "felten_language_modeling_aioe"
label = "Language modeling occupational exposure"
score = -1.108146
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"
