entityType = "role"
schemaVersion = "role.v1"
slug = "role-51-9192-00"
socCode = "51-9192.00"
title = "Cleaning, Washing, and Metal Pickling Equipment Operators and Tenders"
summary = "Operate or tend machines to wash or clean products, such as barrels or kegs, glass items, tin plate, food, pulp, coal, plastic, or rubber, to remove impurities."
aliases = ["Clean in Places Operator (CIP Operator)", "Sanitation Technician", "Sanitation Worker", "Sanitizer", "Anodizer", "Filler Operator", "Parts Cleaner", "Tub Wash Operator", "Tub Washer", "Wash Crew Person", "Acid Dipper", "Agitator"]
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 = "Some College Courses"
percentage = 3.89

[[preparation.educationDistribution]]
label = "Associate's Degree (or other 2-year degree)"
percentage = 3.89

[[preparation.educationDistribution]]
label = "Post-Secondary Certificate"
percentage = 0.73

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

[market]
medianWage = 41460
meanWage = 43380
pct10Wage = 32770
pct25Wage = 37140
pct75Wage = 48280
pct90Wage = 56590
employment = 13890
areaTitle = "U.S."

[industries]
count = 13

[[industries.top]]
naics = "31-33"
slug = "31-33"
title = "Manufacturing"
level = "Sector"
employment = 10970
medianWage = 42120
lq = 9.54

[[industries.top]]
naics = "56"
slug = "56"
title = "Administrative and Support and Waste Management and Remediation Services"
level = "Sector"
employment = 900
medianWage = 36200
lq = 1.11

[[industries.top]]
naics = "42"
slug = "42"
title = "Wholesale Trade"
level = "Sector"
employment = 750
medianWage = 42600
lq = 1.38

[[industries.top]]
naics = "561320"
slug = "561320"
title = "Temporary Help Services"
level = "National industry"
employment = 720
medianWage = 35000
lq = 3.02

[[industries.top]]
naics = "21"
slug = "21"
title = "Mining, Quarrying, and Oil and Gas Extraction"
level = "Sector"
employment = 320
medianWage = 51420
lq = 6.19

[[industries.top]]
naics = "11"
slug = "11"
title = "Agriculture, Forestry, Fishing and Hunting"
level = "Sector"
employment = 300
medianWage = 38460
lq = 7.87

[[industries.top]]
naics = "48-49"
slug = "48-49"
title = "Transportation and Warehousing"
level = "Sector"
employment = 250
medianWage = 47130
lq = 0.38

[[industries.top]]
naics = "332710"
slug = "332710"
title = "Machine Shops"
level = "National industry"
employment = 240
medianWage = 39350
lq = 10.26

[[industries.top]]
naics = "81"
slug = "81"
title = "Other Services (except Public Administration)"
level = "Sector"
employment = 140
medianWage = 37090
lq = 0.35

[[industries.top]]
naics = "54"
slug = "54"
title = "Professional, Scientific, and Technical Services"
level = "Sector"
employment = 70
medianWage = 43380

[[industries.top]]
naics = "23"
slug = "23"
title = "Construction"
level = "Sector"
medianWage = 47400

[[industries.top]]
naics = "44-45"
slug = "44-45"
title = "Retail Trade"
level = "Sector"
medianWage = 30590

[[industries.concentrated]]
naics = "332710"
slug = "332710"
title = "Machine Shops"
level = "National industry"
employment = 240
lq = 10.26

[[industries.concentrated]]
naics = "31-33"
slug = "31-33"
title = "Manufacturing"
level = "Sector"
employment = 10970
lq = 9.54

[[industries.concentrated]]
naics = "11"
slug = "11"
title = "Agriculture, Forestry, Fishing and Hunting"
level = "Sector"
employment = 300
lq = 7.87

[[industries.concentrated]]
naics = "21"
slug = "21"
title = "Mining, Quarrying, and Oil and Gas Extraction"
level = "Sector"
employment = 320
lq = 6.19

[[industries.concentrated]]
naics = "561320"
slug = "561320"
title = "Temporary Help Services"
level = "National industry"
employment = 720
lq = 3.02

[[industries.concentrated]]
naics = "42"
slug = "42"
title = "Wholesale Trade"
level = "Sector"
employment = 750
lq = 1.38

[[industries.concentrated]]
naics = "56"
slug = "56"
title = "Administrative and Support and Waste Management and Remediation Services"
level = "Sector"
employment = 900
lq = 1.11

[[industries.concentrated]]
naics = "48-49"
slug = "48-49"
title = "Transportation and Warehousing"
level = "Sector"
employment = 250
lq = 0.38

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

[aiOutlook.index]
value = 13
percentile = 9
band = "Low"
version = "ai-exposure-index-v1"
componentCount = 3

[[aiOutlook.index.components]]
percentile = 13
source = "felten_aioe"

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

[[aiOutlook.index.components]]
percentile = 12
source = "microsoft_working_with_ai"

[aiOutlook.freyHistorical]
source = "frey"
label = "Computerization probability (Frey & Osborne, 2013)"
value = 0.81
percentile = 65
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 = 0.10526315789473684
beta = 0.10526315789473684
gamma = 0.10526315789473684

[aiOutlook.bls]
growthPercent = 3.6
growthPercentile = 59
direction = "About average"
annualOpeningsThousands = 1.6
annualOpeningsPercentile = 23
employment2024Thousands = 14.6
employment2034Thousands = 15.2

[[aiOutlook.exposure]]
source = "felten_aioe"
label = "Overall AI exposure (Felten et al.)"
value = -1.141885
percentile = 13
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 = 0.10526315789473684
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 = 0.053246649330657383
percentile = 12
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 = "Examine and inspect machines to detect malfunctions."
usagePercent = 0.002464986915027793
importance = 3.81

[[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 = 11
skills = 33
capabilities = 120
tools = 2
relatedRoles = 20

[source]
dataset = "gold.onet_role_starter_surface"
version = "30.3"
generatedAt = "2026-06-02T21:00:32.945303+00:00"
contentHash = "7c6c22c4ccd9eb15"

[[tasks]]
text = "Add specified amounts of chemicals to equipment at required times to maintain solution levels and concentrations."
type = "Core"
iwa = "4.A.3.a.2.ag"

[[tasks]]
text = "Observe machine operations, gauges, or thermometers, and adjust controls to maintain specified conditions."
type = "Core"
iwa = "4.A.1.a.2.a"

[[tasks]]
text = "Set controls to regulate temperature and length of cycles, and start conveyors, pumps, agitators, and machines."
type = "Core"
iwa = "4.A.3.a.2.i"

[[tasks]]
text = "Draw samples for laboratory analysis, or test solutions for conformance to specifications, such as acidity or specific gravity."
type = "Supplemental"
iwa = "4.A.1.b.2.c"

[[tasks]]
text = "Adjust, clean, and lubricate mechanical parts of machines, using hand tools and grease guns."
type = "Supplemental"
iwa = "4.A.3.a.1.c"

[[tasks]]
text = "Drain, clean, and refill machines or tanks at designated intervals, using cleaning solutions or water."
type = "Core"
iwa = "4.A.3.a.1.c"

[[tasks]]
text = "Operate or tend machines to wash and remove impurities from items such as barrels or kegs, glass products, tin plate surfaces, dried fruit, pulp, animal stock, coal, manufactured articles, plastic, or rubber."
type = "Core"
iwa = "4.A.3.a.3.f"

[[tasks]]
text = "Record gauge readings, materials used, processing times, or test results in production logs."
type = "Core"
iwa = "4.A.3.b.6.h"

[[tasks]]
text = "Examine and inspect machines to detect malfunctions."
type = "Core"
iwa = "4.A.1.b.2.g"

[[tasks]]
text = "Load machines with objects to be processed and unload them after cleaning, placing them on conveyors or racks."
type = "Supplemental"
iwa = "4.A.3.a.1.f"

[[tasks]]
text = "Measure, weigh, or mix cleaning solutions, using measuring tanks, calibrated rods or suction tubes."
type = "Core"
iwa = "4.A.1.b.3.a"

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

[[activities]]
name = "Apply solutions to production equipment."
iwa = "4.A.3.a.2.ag"

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

[[activities]]
name = "Measure ingredients or substances to be used in production processes."
iwa = "4.A.1.b.3.a"

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

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

[[activities]]
name = "Collect samples of materials or products for testing."
iwa = "4.A.3.a.2.b"

[[activities]]
name = "Monitor instruments to ensure proper production conditions."
iwa = "4.A.1.a.2.a"

[[activities]]
name = "Adjust temperature controls of ovens or other heating equipment."
iwa = "4.A.3.a.2.i"

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

[[activities]]
name = "Inspect production equipment."
iwa = "4.A.1.b.2.g"

[[activities]]
name = "Record operational or production data."
iwa = "4.A.3.b.6.h"

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

[[activities]]
name = "Load materials into production equipment."
iwa = "4.A.3.a.1.f"

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

[[capabilities]]
name = "Production and Processing"
family = "knowledge"
value = 3.93

[[capabilities]]
name = "Operation and Control"
family = "transferable_skill"
value = 3.25

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

[[capabilities]]
name = "Operations Monitoring"
family = "transferable_skill"
value = 3.12

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

[[capabilities]]
name = "Perceptual Speed"
family = "ability"
value = 3.12

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

[[capabilities]]
name = "Control Precision"
family = "ability"
value = 3.12

[[capabilities]]
name = "English Language"
family = "knowledge"
value = 3.01

[[capabilities]]
name = "Category Flexibility"
family = "ability"
value = 3

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

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

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

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

[[capabilities]]
name = "Active Listening"
family = "essential_skill"
value = 2.88

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

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

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

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

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

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

[[capabilities]]
name = "Selective Attention"
family = "ability"
value = 2.88

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

[[capabilities]]
name = "Auditory Attention"
family = "ability"
value = 2.88

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

[[capabilities]]
name = "Public Safety and Security"
family = "knowledge"
value = 2.77

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

[[capabilities]]
name = "Social Perceptiveness"
family = "transferable_skill"
value = 2.75

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

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

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

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

[[capabilities]]
name = "Psychology"
family = "knowledge"
value = 2.72

[[capabilities]]
name = "Judgment and Decision Making"
family = "transferable_skill"
value = 2.62

[[capabilities]]
name = "Static Strength"
family = "ability"
value = 2.62

[[capabilities]]
name = "Gross Body Coordination"
family = "ability"
value = 2.62

[[capabilities]]
name = "Depth Perception"
family = "ability"
value = 2.62

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

[[workContext]]
name = "Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets"
value = 5

[[workContext]]
name = "Spend Time Standing"
value = 4.7

[[workContext]]
name = "Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable"
value = 4.44

[[workContext]]
name = "Spend Time Walking or Running"
value = 4.35

[[workContext]]
name = "Face-to-Face Discussions with Individuals and Within Teams"
value = 4.25

[[workContext]]
name = "Work With or Contribute to a Work Group or Team"
value = 4.11

[[workContext]]
name = "Time Pressure"
value = 4.09

[[workContext]]
name = "Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls"
value = 3.87

[[workContext]]
name = "Contact With Others"
value = 3.69

[[workContext]]
name = "Pace Determined by Speed of Equipment"
value = 3.61

[[workContext]]
name = "Health and Safety of Other Workers"
value = 3.59

[[workContext]]
name = "Impact of Decisions on Co-workers or Company Results"
value = 3.53

[[workContext]]
name = "Spend Time Making Repetitive Motions"
value = 3.44

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

[[workContext]]
name = "Indoors, Not Environmentally Controlled"
value = 3.35

[[workContext]]
name = "Exposed to Very Hot or Cold Temperatures"
value = 3.33

[[workContext]]
name = "Exposed to Contaminants"
value = 3.32

[[workContext]]
name = "Freedom to Make Decisions"
value = 3.25

[[workContext]]
name = "Frequency of Decision Making"
value = 3.23

[[workContext]]
name = "Importance of Being Exact or Accurate"
value = 3.2

[[workContext]]
name = "Indoors, Environmentally Controlled"
value = 3.15

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

[[workContext]]
name = "Consequence of Error"
value = 3.02

[[workContext]]
name = "Spend Time Bending or Twisting Your Body"
value = 2.98

[[workContext]]
name = "Coordinate or Lead Others in Accomplishing Work Activities"
value = 2.97

[[workContext]]
name = "Exposed to Hazardous Conditions"
value = 2.85

[[workContext]]
name = "Written Letters and Memos"
value = 2.84

[[workContext]]
name = "Work Outcomes and Results of Other Workers"
value = 2.76

[[workContext]]
name = "Exposed to Minor Burns, Cuts, Bites, or Stings"
value = 2.68

[[workContext]]
name = "Spend Time Kneeling, Crouching, Stooping, or Crawling"
value = 2.62

[[workContext]]
name = "Dealing With Unpleasant, Angry, or Discourteous People"
value = 2.6

[[workContext]]
name = "Wear Specialized Protective or Safety Equipment such as Breathing Apparatus, Safety Harness, Full Protection Suits, or Radiation Protection"
value = 2.57

[[workContext]]
name = "Outdoors, Exposed to All Weather Conditions"
value = 2.53

[[workContext]]
name = "Conflict Situations"
value = 2.5

[[workContext]]
name = "Exposed to Cramped Work Space, Awkward Positions"
value = 2.49

[[workContext]]
name = "Degree of Automation"
value = 2.44

[[workContext]]
name = "Physical Proximity"
value = 2.29

[[workContext]]
name = "Exposed to Hazardous Equipment"
value = 2.14

[[workContext]]
name = "Spend Time Climbing Ladders, Scaffolds, or Poles"
value = 2.14

[[workContext]]
name = "Level of Competition"
value = 2.11

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

[[personFit]]
name = "Conventional"
family = "career_interest_type"
value = 4.41

[[personFit]]
name = "Physical/Manual Labor"
family = "specific_interest_area"
value = 4

[[personFit]]
name = "Dependability"
family = "work_style"
value = 2.19

[[personFit]]
name = "Mechanics/Electronics"
family = "specific_interest_area"
value = 2.03

[[personFit]]
name = "Attention to Detail"
family = "work_style"
value = 1.94

[[personFit]]
name = "Transportation/Machine Operation"
family = "specific_interest_area"
value = 1.73

[[personFit]]
name = "Cautiousness"
family = "work_style"
value = 1.72

[[personFit]]
name = "Investigative"
family = "career_interest_type"
value = 1.68

[[personFit]]
name = "Engineering"
family = "specific_interest_area"
value = 1.63

[[personFit]]
name = "Physical Science"
family = "specific_interest_area"
value = 1.24

[[personFit]]
name = "Culinary Art"
family = "specific_interest_area"
value = 1.23

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

[[personFit]]
name = "Agriculture"
family = "specific_interest_area"
value = 1.13

[[personFit]]
name = "Management/Administration"
family = "specific_interest_area"
value = 1.11

[[personFit]]
name = "Health Care Service"
family = "specific_interest_area"
value = 1.1

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

[[relatedRoles]]
socCode = "51-9023.00"
slug = "role-51-9023-00"
title = "Mixing and Blending Machine Setters, Operators, and Tenders"
tier = "Primary-Short"

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

[[relatedRoles]]
socCode = "51-6061.00"
slug = "role-51-6061-00"
title = "Textile Bleaching and Dyeing Machine Operators and Tenders"
tier = "Primary-Short"

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

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

[[relatedRoles]]
socCode = "51-9193.00"
slug = "role-51-9193-00"
title = "Cooling and Freezing Equipment Operators and Tenders"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "51-8091.00"
slug = "role-51-8091-00"
title = "Chemical Plant and System Operators"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "51-9021.00"
slug = "role-51-9021-00"
title = "Crushing, Grinding, and Polishing Machine Setters, Operators, and Tenders"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "51-4191.00"
slug = "role-51-4191-00"
title = "Heat Treating Equipment Setters, Operators, and Tenders, Metal and Plastic"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "51-9041.00"
slug = "role-51-9041-00"
title = "Extruding, Forming, Pressing, and Compacting Machine Setters, Operators, and Tenders"
tier = "Supplemental"

[[relatedRoles]]
socCode = "51-9011.00"
slug = "role-51-9011-00"
title = "Chemical Equipment Operators and Tenders"
tier = "Supplemental"

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

[[aiSignals]]
source = "frey_osborne"
label = "Computerization probability"
score = 0.81
scale = "0-1 probability"
release = "2013-baseline-2016-employment-snapshot"

[[aiSignals]]
source = "felten_aioe"
label = "AI occupational exposure"
score = -1.141885
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"

[[aiSignals]]
source = "felten_image_generation_aioe"
label = "Image generation occupational exposure"
score = -1.118031
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"

[[aiSignals]]
source = "felten_language_modeling_aioe"
label = "Language modeling occupational exposure"
score = -1.124215
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"
