entityType = "role"
schemaVersion = "role.v1"
slug = "role-51-3092-00"
socCode = "51-3092.00"
title = "Food Batchmakers"
summary = "Set up and operate equipment that mixes or blends ingredients used in the manufacturing of food products. Includes candy makers and cheese makers."
aliases = ["Batching Operator", "Blender", "Mixer", "Mixer Operator", "Brewing Technician", "Compounder", "Dosier Operator", "Dough Scaler", "Mix Technician", "Syrup Maker", "Almond Paste Mixer", "Back of House Team Member"]
emergingTasks = []

[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 = 37.83

[[preparation.educationDistribution]]
label = "Some College Courses"
percentage = 26.74

[[preparation.educationDistribution]]
label = "Post-Secondary Certificate"
percentage = 21.51

[[preparation.educationDistribution]]
label = "Less than a High School Diploma"
percentage = 13.91

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

[market]
medianWage = 40790
meanWage = 42830
pct10Wage = 30850
pct25Wage = 35340
pct75Wage = 49010
pct90Wage = 57800
employment = 171660
areaTitle = "U.S."

[industries]
count = 11

[[industries.top]]
naics = "31-33"
slug = "31-33"
title = "Manufacturing"
level = "Sector"
employment = 145060
medianWage = 43980
lq = 10.21

[[industries.top]]
naics = "56"
slug = "56"
title = "Administrative and Support and Waste Management and Remediation Services"
level = "Sector"
employment = 8910
medianWage = 35230
lq = 0.89

[[industries.top]]
naics = "561320"
slug = "561320"
title = "Temporary Help Services"
level = "National industry"
employment = 8740
medianWage = 35220
lq = 2.96

[[industries.top]]
naics = "72"
slug = "72"
title = "Accommodation and Food Services"
level = "Sector"
employment = 7130
medianWage = 33360
lq = 0.45

[[industries.top]]
naics = "42"
slug = "42"
title = "Wholesale Trade"
level = "Sector"
employment = 5320
medianWage = 38170
lq = 0.79

[[industries.top]]
naics = "44-45"
slug = "44-45"
title = "Retail Trade"
level = "Sector"
employment = 4110
medianWage = 36350
lq = 0.24

[[industries.top]]
naics = "722511"
slug = "722511"
title = "Full-Service Restaurants"
level = "National industry"
employment = 620
medianWage = 40280
lq = 0.1

[[industries.top]]
naics = "48-49"
slug = "48-49"
title = "Transportation and Warehousing"
level = "Sector"
employment = 600
medianWage = 38810
lq = 0.07

[[industries.top]]
naics = "62"
slug = "62"
title = "Health Care and Social Assistance"
level = "Sector"
employment = 130
medianWage = 37930
lq = 0.01

[[industries.top]]
naics = "11"
slug = "11"
title = "Agriculture, Forestry, Fishing and Hunting"
level = "Sector"
medianWage = 35110

[[industries.top]]
naics = "55"
slug = "55"
title = "Management of Companies and Enterprises"
level = "Sector"
medianWage = 29600

[[industries.concentrated]]
naics = "31-33"
slug = "31-33"
title = "Manufacturing"
level = "Sector"
employment = 145060
lq = 10.21

[[industries.concentrated]]
naics = "561320"
slug = "561320"
title = "Temporary Help Services"
level = "National industry"
employment = 8740
lq = 2.96

[[industries.concentrated]]
naics = "56"
slug = "56"
title = "Administrative and Support and Waste Management and Remediation Services"
level = "Sector"
employment = 8910
lq = 0.89

[[industries.concentrated]]
naics = "42"
slug = "42"
title = "Wholesale Trade"
level = "Sector"
employment = 5320
lq = 0.79

[[industries.concentrated]]
naics = "72"
slug = "72"
title = "Accommodation and Food Services"
level = "Sector"
employment = 7130
lq = 0.45

[[industries.concentrated]]
naics = "44-45"
slug = "44-45"
title = "Retail Trade"
level = "Sector"
employment = 4110
lq = 0.24

[[industries.concentrated]]
naics = "722511"
slug = "722511"
title = "Full-Service Restaurants"
level = "National industry"
employment = 620
lq = 0.1

[[industries.concentrated]]
naics = "48-49"
slug = "48-49"
title = "Transportation and Warehousing"
level = "Sector"
employment = 600
lq = 0.07

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

[aiOutlook.index]
value = 25
percentile = 22
band = "Low"
version = "ai-exposure-index-v1"
componentCount = 3

[[aiOutlook.index.components]]
percentile = 38
source = "felten_aioe"

[[aiOutlook.index.components]]
percentile = 17
source = "openai_gpts_are_gpts"

[[aiOutlook.index.components]]
percentile = 19
source = "microsoft_working_with_ai"

[aiOutlook.freyHistorical]
source = "frey"
label = "Computerization probability (Frey & Osborne, 2013)"
value = 0.7
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 = 0.10256410256410256
beta = 0.11538461538461538
gamma = 0.1282051282051282

[aiOutlook.bls]
growthPercent = 6.9
growthPercentile = 85
direction = "About average"
annualOpeningsThousands = 24.2
annualOpeningsPercentile = 81
employment2024Thousands = 173.5
employment2034Thousands = 185.4

[[aiOutlook.exposure]]
source = "felten_aioe"
label = "Overall AI exposure (Felten et al.)"
value = -0.3791114
percentile = 38
band = "Moderate"
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 = 0.1282051282051282
percentile = 17
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 = 0.07307398833113297
percentile = 19
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 = "Follow recipes to produce food products of specified flavor, texture, clarity, bouquet, or color."
usagePercent = 0.042110193131724795
importance = 4.56

[[aiOutlook.usageTasks]]
task = "Formulate or modify recipes for specific kinds of food products."
usagePercent = 0.008730161990723432
importance = 4.28

[[aiOutlook.usageTasks]]
task = "Record production and test data for each food product batch, such as the ingredients used, temperature, test results, and time cycle."
usagePercent = 0.0022595713387754766
importance = 4.77

[[aiOutlook.usageTasks]]
task = "Grade food products according to government regulations or according to type, color, bouquet, and moisture content."
usagePercent = 0.0018487401862708444
importance = 4.33

[[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 = 2
taskCount = 3
totalSample = 103
autonomyMedian = 3.5
dominantCollaboration = "directive"
automationShare = 26.25
augmentationShare = 18.75
release = "2026-01-15-v4-plus-2025-03-27-v2"

[[aiPlaybook.collaboration]]
label = "directive"
percent = 26.25

[[aiPlaybook.collaboration]]
label = "task iteration"
percent = 18.75

[[aiPlaybook.useCase]]
label = "personal"
percent = 87.5

[[aiPlaybook.delegatedTasks]]
task = "Follow recipes to produce food products of specified flavor, texture, clarity, bouquet, or color."
usagePercent = 0.0043005375671959
collaboration = "directive"
autonomyMedian = 4
sampleCount = 43

[[aiPlaybook.delegatedTasks]]
task = "Formulate or modify recipes for specific kinds of food products."
usagePercent = 0.0037004625578197278
collaboration = "task iteration"
autonomyMedian = 3
sampleCount = 37

[[aiPlaybook.boundaryTasks]]
task = "Follow recipes to produce food products of specified flavor, texture, clarity, bouquet, or color."
humanNeededPercent = 100
sampleCount = 43

[[aiPlaybook.boundaryTasks]]
task = "Formulate or modify recipes for specific kinds of food products."
humanNeededPercent = 94.5945945945946
sampleCount = 37

[[aiPlaybook.seedPrompts]]
prompt = "Do this for me: follow recipes to produce food products of specified flavor, texture, clarity, bouquet, or color. Give me a finished draft I can review and adjust."
collaboration = "directive"

[[aiPlaybook.seedPrompts]]
prompt = "Let's work through this together, step by step: formulate or modify recipes for specific kinds of food products. I'll give feedback as we go."
collaboration = "task iteration"

[counts]
tasks = 25
skills = 31
capabilities = 120
tools = 3
relatedRoles = 20

[source]
dataset = "gold.onet_role_starter_surface"
version = "30.3"
generatedAt = "2026-06-02T21:00:32.945303+00:00"
contentHash = "011840687e9f3fc9"

[[tasks]]
text = "Record production and test data for each food product batch, such as the ingredients used, temperature, test results, and time cycle."
type = "Core"
iwa = "4.A.3.b.6.h"

[[tasks]]
text = "Clean and sterilize vats and factory processing areas."
type = "Core"
iwa = "4.A.3.a.1.c"

[[tasks]]
text = "Test food product samples for moisture content, acidity level, specific gravity, or butter-fat content, and continue processing until desired levels are reached."
type = "Supplemental"
iwa = "4.A.1.b.2.f"

[[tasks]]
text = "Set up, operate, and tend equipment that cooks, mixes, blends, or processes ingredients in the manufacturing of food products, according to formulas or recipes."
type = "Core"
iwa = "4.A.3.a.3.f"

[[tasks]]
text = "Mix or blend ingredients, according to recipes, using a paddle or an agitator, or by controlling vats that heat and mix ingredients."
type = "Core"
iwa = "4.A.3.a.3.f"

[[tasks]]
text = "Inspect vats after cleaning to ensure that fermentable residue has been removed."
type = "Supplemental"
iwa = "4.A.1.b.2.g"

[[tasks]]
text = "Follow recipes to produce food products of specified flavor, texture, clarity, bouquet, or color."
type = "Core"
iwa = "4.A.3.a.3.f"

[[tasks]]
text = "Give directions to other workers who are assisting in the batchmaking process."
type = "Core"
iwa = "4.A.4.b.4.j"

[[tasks]]
text = "Select and measure or weigh ingredients, using English or metric measures and balance scales."
type = "Core"
iwa = "4.A.1.b.3.a"

[[tasks]]
text = "Press switches and turn knobs to start, adjust, and regulate equipment, such as beaters, extruders, discharge pipes, and salt pumps."
type = "Core"
iwa = "4.A.3.a.3.f"

[[tasks]]
text = "Fill processing or cooking containers, such as kettles, rotating cookers, pressure cookers, or vats, with ingredients, by opening valves, by starting pumps or injectors, or by hand."
type = "Supplemental"
iwa = "4.A.3.a.1.f"

[[tasks]]
text = "Determine mixing sequences, based on knowledge of temperature effects and of the solubility of specific ingredients."
type = "Core"
iwa = "4.A.2.b.1.d"

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

[[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 = "Clean work areas."
iwa = "4.A.3.a.1.c"

[[activities]]
name = "Sterilize food cooking or processing equipment."
iwa = "4.A.3.a.1.c"

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

[[activities]]
name = "Watch operating equipment to detect malfunctions."
iwa = "4.A.1.a.2.a"

[[activities]]
name = "Notify others of equipment repair or maintenance needs."
iwa = "4.A.4.a.2.g"

[[activities]]
name = "Operate cooking, baking, or other food preparation equipment."
iwa = "4.A.3.a.3.f"

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

[[activities]]
name = "Select production input materials."
iwa = "4.A.2.b.1.j"

[[activities]]
name = "Determine food production methods."
iwa = "4.A.2.b.1.d"

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

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

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

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

[[activities]]
name = "Inspect food products."
iwa = "4.A.1.b.2.f"

[[activities]]
name = "Evaluate quality of food ingredients or prepared foods."
iwa = "4.A.2.a.1.e"

[[activities]]
name = "Package products for storage or shipment."
iwa = "4.A.3.a.2.ap"

[[activities]]
name = "Move products, materials, or equipment between work areas."
iwa = "4.A.3.a.1.j"

[[activities]]
name = "Shape clay or dough to create products."
iwa = "4.A.3.a.2.g"

[[capabilities]]
name = "Public Safety and Security"
family = "knowledge"
value = 4.29

[[capabilities]]
name = "Food Production"
family = "knowledge"
value = 4.26

[[capabilities]]
name = "Production and Processing"
family = "knowledge"
value = 4.21

[[capabilities]]
name = "Information Ordering"
family = "ability"
value = 3.62

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

[[capabilities]]
name = "Education and Training"
family = "knowledge"
value = 3.57

[[capabilities]]
name = "English Language"
family = "knowledge"
value = 3.47

[[capabilities]]
name = "Operations Monitoring"
family = "transferable_skill"
value = 3.25

[[capabilities]]
name = "Oral Comprehension"
family = "ability"
value = 3.25

[[capabilities]]
name = "Administration and Management"
family = "knowledge"
value = 3.15

[[capabilities]]
name = "Mechanical"
family = "knowledge"
value = 3.15

[[capabilities]]
name = "Reading Comprehension"
family = "essential_skill"
value = 3.12

[[capabilities]]
name = "Critical Thinking"
family = "essential_skill"
value = 3.12

[[capabilities]]
name = "Mathematics"
family = "knowledge"
value = 3.12

[[capabilities]]
name = "Written Comprehension"
family = "ability"
value = 3.12

[[capabilities]]
name = "Problem Sensitivity"
family = "ability"
value = 3.12

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

[[capabilities]]
name = "Computers and Electronics"
family = "knowledge"
value = 3.09

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

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

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

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

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

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

[[capabilities]]
name = "Perceptual Speed"
family = "ability"
value = 3

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

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

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

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

[[capabilities]]
name = "Administrative"
family = "knowledge"
value = 2.91

[[capabilities]]
name = "Customer and Personal Service"
family = "knowledge"
value = 2.9

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

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

[[capabilities]]
name = "Complex Problem Solving"
family = "transferable_skill"
value = 2.88

[[capabilities]]
name = "Judgment and Decision Making"
family = "transferable_skill"
value = 2.88

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

[[tools]]
example = "Plex Systems Plex Manufacturing Cloud"
category = "Enterprise resource planning ERP software"
hot = false
inDemand = false

[[workContext]]
name = "Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets"
value = 4.85

[[workContext]]
name = "Face-to-Face Discussions with Individuals and Within Teams"
value = 4.55

[[workContext]]
name = "Spend Time Standing"
value = 4.38

[[workContext]]
name = "Pace Determined by Speed of Equipment"
value = 4.29

[[workContext]]
name = "Importance of Being Exact or Accurate"
value = 4.25

[[workContext]]
name = "Work With or Contribute to a Work Group or Team"
value = 4.22

[[workContext]]
name = "Time Pressure"
value = 4.19

[[workContext]]
name = "Health and Safety of Other Workers"
value = 4.17

[[workContext]]
name = "Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls"
value = 4.15

[[workContext]]
name = "Importance of Repeating Same Tasks"
value = 4.09

[[workContext]]
name = "Physical Proximity"
value = 3.91

[[workContext]]
name = "Work Outcomes and Results of Other Workers"
value = 3.88

[[workContext]]
name = "Spend Time Making Repetitive Motions"
value = 3.86

[[workContext]]
name = "Indoors, Environmentally Controlled"
value = 3.79

[[workContext]]
name = "Contact With Others"
value = 3.74

[[workContext]]
name = "Coordinate or Lead Others in Accomplishing Work Activities"
value = 3.73

[[workContext]]
name = "Freedom to Make Decisions"
value = 3.7

[[workContext]]
name = "Impact of Decisions on Co-workers or Company Results"
value = 3.67

[[workContext]]
name = "Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable"
value = 3.61

[[workContext]]
name = "Spend Time Walking or Running"
value = 3.32

[[workContext]]
name = "Exposed to Contaminants"
value = 3.27

[[workContext]]
name = "Consequence of Error"
value = 3.22

[[workContext]]
name = "Spend Time Bending or Twisting Your Body"
value = 3.19

[[workContext]]
name = "Exposed to Hazardous Equipment"
value = 2.88

[[workContext]]
name = "Level of Competition"
value = 2.78

[[workContext]]
name = "Degree of Automation"
value = 2.77

[[workContext]]
name = "Frequency of Decision Making"
value = 2.76

[[workContext]]
name = "Determine Tasks, Priorities and Goals"
value = 2.76

[[workContext]]
name = "Exposed to Very Hot or Cold Temperatures"
value = 2.59

[[workContext]]
name = "Spend Time Kneeling, Crouching, Stooping, or Crawling"
value = 2.46

[[workContext]]
name = "Telephone Conversations"
value = 2.39

[[workContext]]
name = "Indoors, Not Environmentally Controlled"
value = 2.36

[[workContext]]
name = "Public Speaking"
value = 2.32

[[workContext]]
name = "Exposed to Hazardous Conditions"
value = 2.25

[[workContext]]
name = "Spend Time Climbing Ladders, Scaffolds, or Poles"
value = 2.03

[[workContext]]
name = "Spend Time Keeping or Regaining Balance"
value = 2

[[workContext]]
name = "Written Letters and Memos"
value = 1.99

[[workContext]]
name = "Deal With External Customers or the Public in General"
value = 1.99

[[workContext]]
name = "Wear Specialized Protective or Safety Equipment such as Breathing Apparatus, Safety Harness, Full Protection Suits, or Radiation Protection"
value = 1.87

[[workContext]]
name = "Exposed to Minor Burns, Cuts, Bites, or Stings"
value = 1.85

[[personFit]]
name = "Realistic"
family = "career_interest_type"
value = 6.09

[[personFit]]
name = "Conventional"
family = "career_interest_type"
value = 4.65

[[personFit]]
name = "Physical/Manual Labor"
family = "specific_interest_area"
value = 3.68

[[personFit]]
name = "Culinary Art"
family = "specific_interest_area"
value = 2.95

[[personFit]]
name = "Mechanics/Electronics"
family = "specific_interest_area"
value = 2.76

[[personFit]]
name = "Enterprising"
family = "career_interest_type"
value = 2.62

[[personFit]]
name = "Dependability"
family = "work_style"
value = 2.59

[[personFit]]
name = "Attention to Detail"
family = "work_style"
value = 2.41

[[personFit]]
name = "Engineering"
family = "specific_interest_area"
value = 2.2

[[personFit]]
name = "Investigative"
family = "career_interest_type"
value = 2.11

[[personFit]]
name = "Artistic"
family = "career_interest_type"
value = 1.91

[[personFit]]
name = "Mathematics/Statistics"
family = "specific_interest_area"
value = 1.82

[[personFit]]
name = "Cautiousness"
family = "work_style"
value = 1.82

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

[[personFit]]
name = "Physical Science"
family = "specific_interest_area"
value = 1.74

[[personFit]]
name = "Management/Administration"
family = "specific_interest_area"
value = 1.71

[[relatedRoles]]
socCode = "51-3093.00"
slug = "role-51-3093-00"
title = "Food Cooking Machine Operators and Tenders"
tier = "Primary-Short"

[[relatedRoles]]
socCode = "51-3091.00"
slug = "role-51-3091-00"
title = "Food and Tobacco Roasting, Baking, and Drying Machine 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 = "51-9012.00"
slug = "role-51-9012-00"
title = "Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders"
tier = "Primary-Short"

[[relatedRoles]]
socCode = "51-3011.00"
slug = "role-51-3011-00"
title = "Bakers"
tier = "Primary-Short"

[[relatedRoles]]
socCode = "45-2041.00"
slug = "role-45-2041-00"
title = "Graders and Sorters, Agricultural Products"
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 = "51-9192.00"
slug = "role-51-9192-00"
title = "Cleaning, Washing, and Metal Pickling Equipment Operators and Tenders"
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 = "51-9041.00"
slug = "role-51-9041-00"
title = "Extruding, Forming, Pressing, and Compacting Machine Setters, Operators, and Tenders"
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 = "51-9051.00"
slug = "role-51-9051-00"
title = "Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders"
tier = "Supplemental"

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

[[studyPrograms]]
title = "Agriculture, Agriculture Operations, and Related Sciences"
slug = "agriculture-agriculture-operations-and-related-sciences"

[[aiSignals]]
source = "frey_osborne"
label = "Computerization probability"
score = 0.7
scale = "0-1 probability"
release = "2013-baseline-2016-employment-snapshot"

[[aiSignals]]
source = "felten_aioe"
label = "AI occupational exposure"
score = -0.3791114
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"

[[aiSignals]]
source = "felten_image_generation_aioe"
label = "Image generation occupational exposure"
score = -0.6487997
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"

[[aiSignals]]
source = "felten_language_modeling_aioe"
label = "Language modeling occupational exposure"
score = -0.4268211
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"
