entityType = "role"
schemaVersion = "role.v1"
slug = "role-51-6011-00"
socCode = "51-6011.00"
title = "Laundry and Dry-Cleaning Workers"
summary = "Operate or tend washing or dry-cleaning machines to wash or dry-clean industrial or household articles, such as cloth garments, suede, leather, furs, blankets, draperies, linens, rugs, and carpets. Includes spotters and dyers of these articles."
aliases = ["Laundry Aide", "Laundry Attendant", "Laundry Housekeeper", "Laundry Worker", "Dry Cleaner", "Laundry Assistant", "Laundry Technician", "Personal Clothing Laundry Aide", "Spotter", "Assorter", "Bag Hanger", "Bag Washer"]
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 = "Less than a High School Diploma"
percentage = 65.22

[[preparation.educationDistribution]]
label = "High School Diploma"
percentage = 34.16

[[preparation.educationDistribution]]
label = "Post-Secondary Certificate"
percentage = 0.62

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

[market]
medianWage = 33800
meanWage = 33990
pct10Wage = 26270
pct25Wage = 29530
pct75Wage = 36760
pct90Wage = 42370
employment = 195360
areaTitle = "U.S."

[industries]
count = 22

[[industries.top]]
naics = "81"
slug = "81"
title = "Other Services (except Public Administration)"
level = "Sector"
employment = 96930
medianWage = 33650
lq = 17.28

[[industries.top]]
naics = "72"
slug = "72"
title = "Accommodation and Food Services"
level = "Sector"
employment = 41560
medianWage = 33800
lq = 2.3

[[industries.top]]
naics = "62"
slug = "62"
title = "Health Care and Social Assistance"
level = "Sector"
employment = 32630
medianWage = 34070
lq = 1.11

[[industries.top]]
naics = "56"
slug = "56"
title = "Administrative and Support and Waste Management and Remediation Services"
level = "Sector"
employment = 14260
medianWage = 33290
lq = 1.25

[[industries.top]]
naics = "561320"
slug = "561320"
title = "Temporary Help Services"
level = "National industry"
employment = 5070
medianWage = 33290
lq = 1.51

[[industries.top]]
naics = "53"
slug = "53"
title = "Real Estate and Rental and Leasing"
level = "Sector"
employment = 2920
medianWage = 34530
lq = 0.97

[[industries.top]]
naics = "721120"
slug = "721120"
title = "Casino Hotels"
level = "National industry"
employment = 2380
medianWage = 34160
lq = 5.57

[[industries.top]]
naics = "71"
slug = "71"
title = "Arts, Entertainment, and Recreation"
level = "Sector"
employment = 1270
medianWage = 35360
lq = 0.38

[[industries.top]]
naics = "31-33"
slug = "31-33"
title = "Manufacturing"
level = "Sector"
employment = 550
medianWage = 38910
lq = 0.03

[[industries.top]]
naics = "42"
slug = "42"
title = "Wholesale Trade"
level = "Sector"
employment = 420
medianWage = 32670
lq = 0.05

[[industries.top]]
naics = "61"
slug = "61"
title = "Educational Services"
level = "Sector"
employment = 380
medianWage = 36440
lq = 0.02

[[industries.top]]
naics = "55"
slug = "55"
title = "Management of Companies and Enterprises"
level = "Sector"
employment = 370
medianWage = 33320
lq = 0.1

[[industries.concentrated]]
naics = "81"
slug = "81"
title = "Other Services (except Public Administration)"
level = "Sector"
employment = 96930
lq = 17.28

[[industries.concentrated]]
naics = "721120"
slug = "721120"
title = "Casino Hotels"
level = "National industry"
employment = 2380
lq = 5.57

[[industries.concentrated]]
naics = "72"
slug = "72"
title = "Accommodation and Food Services"
level = "Sector"
employment = 41560
lq = 2.3

[[industries.concentrated]]
naics = "561320"
slug = "561320"
title = "Temporary Help Services"
level = "National industry"
employment = 5070
lq = 1.51

[[industries.concentrated]]
naics = "56"
slug = "56"
title = "Administrative and Support and Waste Management and Remediation Services"
level = "Sector"
employment = 14260
lq = 1.25

[[industries.concentrated]]
naics = "62"
slug = "62"
title = "Health Care and Social Assistance"
level = "Sector"
employment = 32630
lq = 1.11

[[industries.concentrated]]
naics = "53"
slug = "53"
title = "Real Estate and Rental and Leasing"
level = "Sector"
employment = 2920
lq = 0.97

[[industries.concentrated]]
naics = "623210"
slug = "623210"
title = "Residential Intellectual and Developmental Disability Facilities"
level = "National industry"
employment = 310
lq = 0.63

[aiOutlook]
teleworkable = false
usageTasks = []

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

[[aiOutlook.index.components]]
percentile = 16
source = "felten_aioe"

[[aiOutlook.index.components]]
percentile = 10
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 = 0.71
percentile = 58
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 = 0.025
beta = 0.05
gamma = 0.07500000000000001

[aiOutlook.bls]
growthPercent = 5.4
growthPercentile = 77
direction = "About average"
annualOpeningsThousands = 31.9
annualOpeningsPercentile = 85
employment2024Thousands = 202.6
employment2034Thousands = 213.5

[[aiOutlook.exposure]]
source = "felten_aioe"
label = "Overall AI exposure (Felten et al.)"
value = -1.054399
percentile = 16
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 = 0.07500000000000001
percentile = 10
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 = 0.04460238616493181
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.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 = 23
skills = 35
capabilities = 120
tools = 11
relatedRoles = 20

[source]
dataset = "gold.onet_role_starter_surface"
version = "30.3"
generatedAt = "2026-06-02T21:00:32.945303+00:00"
contentHash = "cb13958946183533"

[[tasks]]
text = "Load articles into washers or dry-cleaning machines, or direct other workers to perform loading."
type = "Core"
iwa = "4.A.3.a.1.h"

[[tasks]]
text = "Start washers, dry cleaners, driers, or extractors, and turn valves or levers to regulate machine processes and the volume of soap, detergent, water, bleach, starch, and other additives."
type = "Core"
iwa = "4.A.3.a.1.h"

[[tasks]]
text = "Apply bleaching powders to spots and spray them with steam to remove stains from fabrics that do not respond to other cleaning solvents."
type = "Supplemental"
iwa = "4.A.3.a.1.h"

[[tasks]]
text = "Operate extractors and driers, or direct their operation."
type = "Core"
iwa = "4.A.3.a.1.h"

[[tasks]]
text = "Sort and count articles removed from dryers, and fold, wrap, or hang them."
type = "Core"
iwa = "4.A.1.b.2.f"

[[tasks]]
text = "Remove items from washers or dry-cleaning machines, or direct other workers to do so."
type = "Core"
iwa = "4.A.3.a.2.an"

[[tasks]]
text = "Clean machine filters, and lubricate equipment."
type = "Core"
iwa = "4.A.3.a.1.c"

[[tasks]]
text = "Examine and sort into lots articles to be cleaned, according to color, fabric, dirt content, and cleaning technique required."
type = "Core"
iwa = "4.A.1.b.2.j"

[[tasks]]
text = "Determine spotting procedures and proper solvents, based on fabric and stain types."
type = "Supplemental"
iwa = "4.A.2.b.1.j"

[[tasks]]
text = "Spray steam, water, or air over spots to flush out chemicals, dry material, raise naps, or brighten colors."
type = "Supplemental"
iwa = "4.A.3.a.1.h"

[[tasks]]
text = "Receive and mark articles for laundry or dry cleaning with identifying code numbers or names, using hand or machine markers."
type = "Core"
iwa = "4.A.1.b.1.a"

[[tasks]]
text = "Pre-soak, sterilize, scrub, spot-clean, and dry contaminated or stained articles, using neutralizer solutions and portable machines."
type = "Supplemental"
iwa = "4.A.3.a.1.h"

[[activities]]
name = "Mark products, workpieces, or equipment with identifying information."
iwa = "4.A.1.b.1.a"

[[activities]]
name = "Operate garment treatment equipment."
iwa = "4.A.3.a.1.h"

[[activities]]
name = "Apply water or solutions to fabrics or apparel."
iwa = "4.A.3.a.1.h"

[[activities]]
name = "Count finished products or workpieces."
iwa = "4.A.1.b.2.f"

[[activities]]
name = "Sort materials or products for processing, storing, shipping, or grading."
iwa = "4.A.2.a.2.b"

[[activities]]
name = "Inspect garments for defects, damage, or stains."
iwa = "4.A.1.b.2.j"

[[activities]]
name = "Direct operational or production activities."
iwa = "4.A.4.b.4.j"

[[activities]]
name = "Mix substances to create chemical solutions."
iwa = "4.A.3.a.1.a"

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

[[activities]]
name = "Lubricate production equipment."
iwa = "4.A.3.b.5.a"

[[activities]]
name = "Remove products or workpieces from production equipment."
iwa = "4.A.3.a.2.an"

[[activities]]
name = "Select equipment, materials, or supplies for cleaning or maintenance activities."
iwa = "4.A.2.b.1.j"

[[activities]]
name = "Mount materials or workpieces onto production equipment."
iwa = "4.A.3.a.2.f"

[[activities]]
name = "Compare physical characteristics of materials or products to specifications or standards."
iwa = "4.A.1.b.2.j"

[[activities]]
name = "Test chemical or physical characteristics of materials or products."
iwa = "4.A.1.b.2.c"

[[activities]]
name = "Smooth garments with irons, presses, or steamers."
iwa = "4.A.3.a.3.f"

[[activities]]
name = "Immerse objects or workpieces in cleaning or coating solutions."
iwa = "4.A.3.a.2.m"

[[capabilities]]
name = "Arm-Hand Steadiness"
family = "ability"
value = 3.25

[[capabilities]]
name = "Customer and Personal Service"
family = "knowledge"
value = 3.2

[[capabilities]]
name = "Production and Processing"
family = "knowledge"
value = 3.1

[[capabilities]]
name = "Active Listening"
family = "essential_skill"
value = 3

[[capabilities]]
name = "Monitoring"
family = "essential_skill"
value = 3

[[capabilities]]
name = "Oral Comprehension"
family = "ability"
value = 3

[[capabilities]]
name = "Oral Expression"
family = "ability"
value = 3

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

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

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

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

[[capabilities]]
name = "English Language"
family = "knowledge"
value = 2.97

[[capabilities]]
name = "Public Safety and Security"
family = "knowledge"
value = 2.94

[[capabilities]]
name = "Speaking"
family = "essential_skill"
value = 2.88

[[capabilities]]
name = "Social Perceptiveness"
family = "transferable_skill"
value = 2.88

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

[[capabilities]]
name = "Time Management"
family = "transferable_skill"
value = 2.88

[[capabilities]]
name = "Problem Sensitivity"
family = "ability"
value = 2.88

[[capabilities]]
name = "Information Ordering"
family = "ability"
value = 2.88

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

[[capabilities]]
name = "Multilimb Coordination"
family = "ability"
value = 2.88

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

[[capabilities]]
name = "Speech Clarity"
family = "ability"
value = 2.88

[[capabilities]]
name = "Mathematics"
family = "knowledge"
value = 2.81

[[capabilities]]
name = "Reading Comprehension"
family = "essential_skill"
value = 2.75

[[capabilities]]
name = "Critical Thinking"
family = "essential_skill"
value = 2.75

[[capabilities]]
name = "Operation and Control"
family = "transferable_skill"
value = 2.75

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

[[capabilities]]
name = "Written Comprehension"
family = "ability"
value = 2.75

[[capabilities]]
name = "Deductive Reasoning"
family = "ability"
value = 2.75

[[capabilities]]
name = "Inductive Reasoning"
family = "ability"
value = 2.75

[[capabilities]]
name = "Category Flexibility"
family = "ability"
value = 2.75

[[capabilities]]
name = "Selective Attention"
family = "ability"
value = 2.75

[[capabilities]]
name = "Visual Color Discrimination"
family = "ability"
value = 2.75

[[capabilities]]
name = "Administration and Management"
family = "knowledge"
value = 2.69

[[capabilities]]
name = "Active Learning"
family = "essential_skill"
value = 2.62

[[capabilities]]
name = "Coordination"
family = "transferable_skill"
value = 2.5

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

[[capabilities]]
name = "Instructing"
family = "transferable_skill"
value = 2.38

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

[[skills]]
name = "Geography"
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 Windows"
category = "Operating system software"
hot = true
inDemand = false

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

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

[[tools]]
example = "Curbside Laundries Wash and Fold POS Software"
category = "Point of sale POS software"
hot = false
inDemand = false

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

[[tools]]
example = "Property management system PMS software"
category = "Data base user interface and query software"
hot = false
inDemand = false

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

[[tools]]
example = "Wash-Dry-Fold POS"
category = "Point of sale POS software"
hot = false
inDemand = false

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

[[workContext]]
name = "Spend Time Standing"
value = 4.62

[[workContext]]
name = "Health and Safety of Other Workers"
value = 4.26

[[workContext]]
name = "Spend Time Making Repetitive Motions"
value = 4.13

[[workContext]]
name = "Pace Determined by Speed of Equipment"
value = 4.12

[[workContext]]
name = "Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets"
value = 4.09

[[workContext]]
name = "Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls"
value = 3.99

[[workContext]]
name = "Importance of Being Exact or Accurate"
value = 3.93

[[workContext]]
name = "Time Pressure"
value = 3.91

[[workContext]]
name = "Face-to-Face Discussions with Individuals and Within Teams"
value = 3.85

[[workContext]]
name = "Work Outcomes and Results of Other Workers"
value = 3.74

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

[[workContext]]
name = "Spend Time Walking or Running"
value = 3.68

[[workContext]]
name = "Indoors, Environmentally Controlled"
value = 3.5

[[workContext]]
name = "Impact of Decisions on Co-workers or Company Results"
value = 3.49

[[workContext]]
name = "Level of Competition"
value = 3.43

[[workContext]]
name = "Spend Time Bending or Twisting Your Body"
value = 3.39

[[workContext]]
name = "Degree of Automation"
value = 3.27

[[workContext]]
name = "Contact With Others"
value = 3.23

[[workContext]]
name = "Exposed to Disease or Infections"
value = 3.19

[[workContext]]
name = "Determine Tasks, Priorities and Goals"
value = 3.18

[[workContext]]
name = "Physical Proximity"
value = 3.12

[[workContext]]
name = "Importance of Repeating Same Tasks"
value = 3.07

[[workContext]]
name = "Exposed to Contaminants"
value = 2.99

[[workContext]]
name = "Freedom to Make Decisions"
value = 2.92

[[workContext]]
name = "Frequency of Decision Making"
value = 2.83

[[workContext]]
name = "Coordinate or Lead Others in Accomplishing Work Activities"
value = 2.82

[[workContext]]
name = "Dealing With Unpleasant, Angry, or Discourteous People"
value = 2.57

[[workContext]]
name = "Deal With External Customers or the Public in General"
value = 2.49

[[workContext]]
name = "Spend Time Kneeling, Crouching, Stooping, or Crawling"
value = 2.3

[[workContext]]
name = "Wear Specialized Protective or Safety Equipment such as Breathing Apparatus, Safety Harness, Full Protection Suits, or Radiation Protection"
value = 2.3

[[workContext]]
name = "Spend Time Keeping or Regaining Balance"
value = 2.14

[[workContext]]
name = "Exposed to Hazardous Conditions"
value = 2.13

[[workContext]]
name = "Conflict Situations"
value = 2.09

[[workContext]]
name = "Telephone Conversations"
value = 2.03

[[workContext]]
name = "Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable"
value = 2.01

[[workContext]]
name = "Exposed to Very Hot or Cold Temperatures"
value = 1.93

[[workContext]]
name = "Consequence of Error"
value = 1.92

[[workContext]]
name = "Exposed to Minor Burns, Cuts, Bites, or Stings"
value = 1.89

[[workContext]]
name = "Public Speaking"
value = 1.8

[[workContext]]
name = "Indoors, Not Environmentally Controlled"
value = 1.69

[[personFit]]
name = "Realistic"
family = "career_interest_type"
value = 6.38

[[personFit]]
name = "Physical/Manual Labor"
family = "specific_interest_area"
value = 5.07

[[personFit]]
name = "Conventional"
family = "career_interest_type"
value = 4.26

[[personFit]]
name = "Dependability"
family = "work_style"
value = 2.16

[[personFit]]
name = "Mechanics/Electronics"
family = "specific_interest_area"
value = 2

[[personFit]]
name = "Transportation/Machine Operation"
family = "specific_interest_area"
value = 1.77

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

[[personFit]]
name = "Enterprising"
family = "career_interest_type"
value = 1.54

[[personFit]]
name = "Personal Service"
family = "specific_interest_area"
value = 1.46

[[personFit]]
name = "Social"
family = "career_interest_type"
value = 1.36

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

[[personFit]]
name = "Accounting"
family = "specific_interest_area"
value = 1.2

[[personFit]]
name = "Artistic"
family = "career_interest_type"
value = 1.18

[[personFit]]
name = "Management/Administration"
family = "specific_interest_area"
value = 1.17

[[personFit]]
name = "Cautiousness"
family = "work_style"
value = 1.17

[[personFit]]
name = "Health Care Service"
family = "specific_interest_area"
value = 1.16

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

[[relatedRoles]]
socCode = "51-6021.00"
slug = "role-51-6021-00"
title = "Pressers, Textile, Garment, and Related Materials"
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 = "51-6031.00"
slug = "role-51-6031-00"
title = "Sewing Machine Operators"
tier = "Primary-Short"

[[relatedRoles]]
socCode = "51-9123.00"
slug = "role-51-9123-00"
title = "Painting, Coating, and Decorating Workers"
tier = "Primary-Short"

[[relatedRoles]]
socCode = "51-6061.00"
slug = "role-51-6061-00"
title = "Textile Bleaching and Dyeing Machine 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 = "37-2012.00"
slug = "role-37-2012-00"
title = "Maids and Housekeeping Cleaners"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "51-9031.00"
slug = "role-51-9031-00"
title = "Cutters and Trimmers, Hand"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "53-7064.00"
slug = "role-53-7064-00"
title = "Packers and Packagers, Hand"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "51-9111.00"
slug = "role-51-9111-00"
title = "Packaging and Filling Machine Operators and Tenders"
tier = "Supplemental"

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

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

[[aiSignals]]
source = "frey_osborne"
label = "Computerization probability"
score = 0.71
scale = "0-1 probability"
release = "2013-baseline-2016-employment-snapshot"

[[aiSignals]]
source = "felten_aioe"
label = "AI occupational exposure"
score = -1.054399
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"

[[aiSignals]]
source = "felten_image_generation_aioe"
label = "Image generation occupational exposure"
score = -1.346116
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"

[[aiSignals]]
source = "felten_language_modeling_aioe"
label = "Language modeling occupational exposure"
score = -0.8894878
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"
