entityType = "role"
schemaVersion = "role.v1"
slug = "role-35-2011-00"
socCode = "35-2011.00"
title = "Cooks, Fast Food"
summary = "Prepare and cook food in a fast food restaurant with a limited menu. Duties of these cooks are limited to preparation of a few basic items and normally involve operating large-volume single-purpose cooking equipment."
aliases = ["Cook", "Grill Cook", "Line Cook", "Pizza Cook", "Deep Fat Fryer Operator", "Fast Food Cook", "Fry Cook", "Fryer", "Pizza Maker", "Prep Cook (Preparatory Cook)", "Fast Food Fry Cook", "Fast Food Worker"]
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 = 57.98

[[preparation.educationDistribution]]
label = "Less than a High School Diploma"
percentage = 42.02

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

[market]
medianWage = 30160
meanWage = 31140
pct10Wage = 22370
pct25Wage = 26540
pct75Wage = 35710
pct90Wage = 38980
employment = 668230
areaTitle = "U.S."

[industries]
count = 17

[[industries.top]]
naics = "72"
slug = "72"
title = "Accommodation and Food Services"
level = "Sector"
employment = 647470
medianWage = 30140
lq = 10.5

[[industries.top]]
naics = "722511"
slug = "722511"
title = "Full-Service Restaurants"
level = "National industry"
employment = 37330
medianWage = 29990
lq = 1.61

[[industries.top]]
naics = "44-45"
slug = "44-45"
title = "Retail Trade"
level = "Sector"
employment = 14500
medianWage = 30730
lq = 0.21

[[industries.top]]
naics = "71"
slug = "71"
title = "Arts, Entertainment, and Recreation"
level = "Sector"
employment = 2490
medianWage = 34320
lq = 0.22

[[industries.top]]
naics = "56"
slug = "56"
title = "Administrative and Support and Waste Management and Remediation Services"
level = "Sector"
employment = 1230
medianWage = 33280
lq = 0.03

[[industries.top]]
naics = "31-33"
slug = "31-33"
title = "Manufacturing"
level = "Sector"
employment = 910
medianWage = 36180
lq = 0.02

[[industries.top]]
naics = "561320"
slug = "561320"
title = "Temporary Help Services"
level = "National industry"
employment = 830
medianWage = 33280
lq = 0.07

[[industries.top]]
naics = "713940"
slug = "713940"
title = "Fitness and Recreational Sports Centers"
level = "National industry"
employment = 400
medianWage = 18860
lq = 0.15

[[industries.top]]
naics = "42"
slug = "42"
title = "Wholesale Trade"
level = "Sector"
employment = 370
medianWage = 31650
lq = 0.01

[[industries.top]]
naics = "61"
slug = "61"
title = "Educational Services"
level = "Sector"
employment = 270
medianWage = 37030
lq = 0

[[industries.top]]
naics = "721120"
slug = "721120"
title = "Casino Hotels"
level = "National industry"
employment = 240
medianWage = 42090
lq = 0.16

[[industries.top]]
naics = "62"
slug = "62"
title = "Health Care and Social Assistance"
level = "Sector"
employment = 180
medianWage = 31690
lq = 0

[[industries.concentrated]]
naics = "72"
slug = "72"
title = "Accommodation and Food Services"
level = "Sector"
employment = 647470
lq = 10.5

[[industries.concentrated]]
naics = "722511"
slug = "722511"
title = "Full-Service Restaurants"
level = "National industry"
employment = 37330
lq = 1.61

[[industries.concentrated]]
naics = "71"
slug = "71"
title = "Arts, Entertainment, and Recreation"
level = "Sector"
employment = 2490
lq = 0.22

[[industries.concentrated]]
naics = "44-45"
slug = "44-45"
title = "Retail Trade"
level = "Sector"
employment = 14500
lq = 0.21

[[industries.concentrated]]
naics = "721120"
slug = "721120"
title = "Casino Hotels"
level = "National industry"
employment = 240
lq = 0.16

[[industries.concentrated]]
naics = "713940"
slug = "713940"
title = "Fitness and Recreational Sports Centers"
level = "National industry"
employment = 400
lq = 0.15

[[industries.concentrated]]
naics = "561320"
slug = "561320"
title = "Temporary Help Services"
level = "National industry"
employment = 830
lq = 0.07

[[industries.concentrated]]
naics = "56"
slug = "56"
title = "Administrative and Support and Waste Management and Remediation Services"
level = "Sector"
employment = 1230
lq = 0.03

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

[aiOutlook.index]
value = 32
percentile = 30
band = "Low"
version = "ai-exposure-index-v1"
componentCount = 3

[[aiOutlook.index.components]]
percentile = 29
source = "felten_aioe"

[[aiOutlook.index.components]]
percentile = 3
source = "openai_gpts_are_gpts"

[[aiOutlook.index.components]]
percentile = 65
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
beta = 0
gamma = 0

[aiOutlook.bls]
growthPercent = -13.5
growthPercentile = 3
direction = "Declining"
annualOpeningsThousands = 82.1
annualOpeningsPercentile = 94
employment2024Thousands = 669.5
employment2034Thousands = 579.2

[[aiOutlook.exposure]]
source = "felten_aioe"
label = "Overall AI exposure (Felten et al.)"
value = -0.7131837
percentile = 29
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
percentile = 3
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 = 0.19112757614108203
percentile = 65
band = "Moderate"
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 = "Read food order slips or receive verbal instructions as to food required by patron, and prepare and cook food according to instructions."
usagePercent = 0.02187675887087166
importance = 4.63

[[aiOutlook.usageTasks]]
task = "Prepare dough, following recipe."
usagePercent = 0.0030812336437847413
importance = 4.49

[[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 = 5
taskCount = 6
totalSample = 767
autonomyMedian = 4
dominantCollaboration = "directive"
automationShare = 40.74
augmentationShare = 45.8
release = "2026-01-15-v4-plus-2025-03-27-v2"

[[aiPlaybook.collaboration]]
label = "directive"
percent = 38.48

[[aiPlaybook.collaboration]]
label = "learning"
percent = 23.7

[[aiPlaybook.collaboration]]
label = "task iteration"
percent = 22.1

[[aiPlaybook.collaboration]]
label = "feedback loop"
percent = 2.26

[[aiPlaybook.useCase]]
label = "personal"
percent = 98.27

[[aiPlaybook.delegatedTasks]]
task = "Prepare specialty foods such as pizzas, fish and chips, sandwiches, and tacos, following specific methods that usually require short preparation time."
usagePercent = 0.025003125390673835
collaboration = "directive"
autonomyMedian = 4
sampleCount = 250

[[aiPlaybook.delegatedTasks]]
task = "Wash, cut, and prepare foods designated for cooking."
usagePercent = 0.018502312789098637
collaboration = "directive"
autonomyMedian = 4
sampleCount = 185

[[aiPlaybook.delegatedTasks]]
task = "Read food order slips or receive verbal instructions as to food required by patron, and prepare and cook food according to instructions."
usagePercent = 0.0150018752344043
collaboration = "directive"
autonomyMedian = 4
sampleCount = 150

[[aiPlaybook.delegatedTasks]]
task = "Measure ingredients required for specific food items being prepared."
usagePercent = 0.010901362670333791
collaboration = "directive"
autonomyMedian = 3
sampleCount = 109

[[aiPlaybook.delegatedTasks]]
task = "Prepare dough, following recipe."
usagePercent = 0.005700712589073635
collaboration = "learning"
autonomyMedian = 4
sampleCount = 57

[[aiPlaybook.boundaryTasks]]
task = "Prepare specialty foods such as pizzas, fish and chips, sandwiches, and tacos, following specific methods that usually require short preparation time."
humanNeededPercent = 100
sampleCount = 250

[[aiPlaybook.boundaryTasks]]
task = "Wash, cut, and prepare foods designated for cooking."
humanNeededPercent = 100
sampleCount = 185

[[aiPlaybook.boundaryTasks]]
task = "Measure ingredients required for specific food items being prepared."
humanNeededPercent = 100
sampleCount = 109

[[aiPlaybook.boundaryTasks]]
task = "Read food order slips or receive verbal instructions as to food required by patron, and prepare and cook food according to instructions."
humanNeededPercent = 99.33333333333333
sampleCount = 150

[[aiPlaybook.boundaryTasks]]
task = "Prepare dough, following recipe."
humanNeededPercent = 98.24561403508771
sampleCount = 57

[[aiPlaybook.seedPrompts]]
prompt = "Do this for me: prepare specialty foods such as pizzas, fish and chips, sandwiches, and tacos, following specific methods that usually require short preparation time. Give me a finished draft I can review and adjust."
collaboration = "directive"

[[aiPlaybook.seedPrompts]]
prompt = "Do this for me: wash, cut, and prepare foods designated for cooking. Give me a finished draft I can review and adjust."
collaboration = "directive"

[[aiPlaybook.seedPrompts]]
prompt = "Do this for me: read food order slips or receive verbal instructions as to food required by patron, and prepare and cook food according to instructions. Give me a finished draft I can review and adjust."
collaboration = "directive"

[[aiPlaybook.seedPrompts]]
prompt = "Do this for me: measure ingredients required for specific food items being prepared. Give me a finished draft I can review and adjust."
collaboration = "directive"

[[aiPlaybook.seedPrompts]]
prompt = "Teach me how to prepare dough, following recipe, then check my work as I try it myself."
collaboration = "learning"

[counts]
tasks = 19
skills = 34
capabilities = 120
tools = 7
relatedRoles = 20

[source]
dataset = "gold.onet_role_starter_surface"
version = "30.3"
generatedAt = "2026-06-02T21:00:32.945303+00:00"
contentHash = "58d149f5b3b44f99"

[[tasks]]
text = "Order and take delivery of supplies."
type = "Core"
iwa = "4.A.4.c.3.e"

[[tasks]]
text = "Cook the exact number of items ordered by each customer, working on several different orders simultaneously."
type = "Core"
iwa = "4.A.3.a.2.c"

[[tasks]]
text = "Operate large-volume cooking equipment, such as grills, deep-fat fryers, or griddles."
type = "Core"
iwa = "4.A.3.a.2.c"

[[tasks]]
text = "Prepare specialty foods, such as pizzas, fish and chips, sandwiches, or tacos, following specific methods that usually require short preparation time."
type = "Core"
iwa = "4.A.3.a.2.c"

[[tasks]]
text = "Wash, cut, and prepare foods designated for cooking."
type = "Core"
iwa = "4.A.3.a.2.c"

[[tasks]]
text = "Prepare and serve beverages, such as coffee or fountain drinks."
type = "Core"
iwa = "4.A.3.a.1.o"

[[tasks]]
text = "Clean food preparation areas, cooking surfaces, and utensils."
type = "Core"
iwa = "4.A.3.a.1.c"

[[tasks]]
text = "Read food order slips or receive verbal instructions as to food required by patron, and prepare and cook food according to instructions."
type = "Core"
iwa = "4.A.3.a.2.c"

[[tasks]]
text = "Serve orders to customers at windows, counters, or tables."
type = "Core"
iwa = "4.A.3.a.1.o"

[[tasks]]
text = "Clean, stock, and restock workstations and display cases."
type = "Core"
iwa = "4.A.3.a.2.ak"

[[tasks]]
text = "Maintain sanitation, health, and safety standards in work areas."
type = "Core"
iwa = "4.A.3.a.1.c"

[[tasks]]
text = "Cook and package batches of food, such as hamburgers or fried chicken, prepared to order or kept warm until sold."
type = "Core"
iwa = "4.A.3.a.2.c"

[[emergingTasks]]
text = "Take out garbage."

[[activities]]
name = "Clean food preparation areas, facilities, or equipment."
iwa = "4.A.3.a.1.c"

[[activities]]
name = "Cook foods."
iwa = "4.A.3.a.2.c"

[[activities]]
name = "Check quality of foods or supplies."
iwa = "4.A.1.b.2.f"

[[activities]]
name = "Process customer bills or payments."
iwa = "4.A.4.c.1.c"

[[activities]]
name = "Take customer orders."
iwa = "4.A.4.c.1.c"

[[activities]]
name = "Prepare foods for cooking or serving."
iwa = "4.A.3.a.2.c"

[[activities]]
name = "Measure ingredients."
iwa = "4.A.1.b.3.a"

[[activities]]
name = "Serve food or beverages."
iwa = "4.A.3.a.1.o"

[[activities]]
name = "Stock serving stations or dining areas with food or supplies."
iwa = "4.A.3.a.2.ak"

[[activities]]
name = "Prepare breads or doughs."
iwa = "4.A.3.a.2.c"

[[activities]]
name = "Coordinate timing of food production activities."
iwa = "4.A.4.b.4.j"

[[activities]]
name = "Prepare hot or cold beverages."
iwa = "4.A.3.a.2.c"

[[activities]]
name = "Mix ingredients."
iwa = "4.A.3.a.1.a"

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

[[capabilities]]
name = "Oral Comprehension"
family = "ability"
value = 3.62

[[capabilities]]
name = "Administration and Management"
family = "knowledge"
value = 3.34

[[capabilities]]
name = "Transportation"
family = "knowledge"
value = 3.26

[[capabilities]]
name = "Communications and Media"
family = "knowledge"
value = 3.2

[[capabilities]]
name = "Customer and Personal Service"
family = "knowledge"
value = 3.13

[[capabilities]]
name = "Public Safety and Security"
family = "knowledge"
value = 3.13

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

[[capabilities]]
name = "Near Vision"
family = "ability"
value = 3.12

[[capabilities]]
name = "English Language"
family = "knowledge"
value = 3.08

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

[[capabilities]]
name = "Service Orientation"
family = "transferable_skill"
value = 3

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

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

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

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

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

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

[[capabilities]]
name = "Manual Dexterity"
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 = "Speaking"
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 = "Economics and Accounting"
family = "knowledge"
value = 2.69

[[capabilities]]
name = "Reading Comprehension"
family = "essential_skill"
value = 2.62

[[capabilities]]
name = "Critical Thinking"
family = "essential_skill"
value = 2.62

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

[[capabilities]]
name = "Time Sharing"
family = "ability"
value = 2.62

[[capabilities]]
name = "Arm-Hand Steadiness"
family = "ability"
value = 2.62

[[capabilities]]
name = "Time Management"
family = "transferable_skill"
value = 2.5

[[capabilities]]
name = "Stamina"
family = "ability"
value = 2.5

[[capabilities]]
name = "Sales and Marketing"
family = "knowledge"
value = 2.48

[[capabilities]]
name = "Active Learning"
family = "essential_skill"
value = 2.38

[[capabilities]]
name = "Judgment and Decision Making"
family = "transferable_skill"
value = 2.38

[[capabilities]]
name = "Written Expression"
family = "ability"
value = 2.38

[[capabilities]]
name = "Inductive Reasoning"
family = "ability"
value = 2.38

[[capabilities]]
name = "Production and Processing"
family = "knowledge"
value = 2.31

[[capabilities]]
name = "Computers and Electronics"
family = "knowledge"
value = 2.3

[[capabilities]]
name = "Persuasion"
family = "transferable_skill"
value = 2.25

[[capabilities]]
name = "Administrative"
family = "knowledge"
value = 2.25

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

[[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 Word"
category = "Word processing software"
hot = true
inDemand = false

[[tools]]
example = "Aldelo Systems Aldelo for Restaurants Pro"
category = "Point of sale POS software"
hot = false
inDemand = false

[[tools]]
example = "Foodman Home-Delivery"
category = "Point of sale POS software"
hot = false
inDemand = false

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

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

[[workContext]]
name = "Face-to-Face Discussions with Individuals and Within Teams"
value = 4.93

[[workContext]]
name = "Spend Time Standing"
value = 4.37

[[workContext]]
name = "Consequence of Error"
value = 3.9

[[workContext]]
name = "Importance of Being Exact or Accurate"
value = 3.9

[[workContext]]
name = "Work With or Contribute to a Work Group or Team"
value = 3.87

[[workContext]]
name = "Impact of Decisions on Co-workers or Company Results"
value = 3.75

[[workContext]]
name = "Dealing With Unpleasant, Angry, or Discourteous People"
value = 3.68

[[workContext]]
name = "Physical Proximity"
value = 3.58

[[workContext]]
name = "Telephone Conversations"
value = 3.56

[[workContext]]
name = "Deal With External Customers or the Public in General"
value = 3.54

[[workContext]]
name = "Frequency of Decision Making"
value = 3.49

[[workContext]]
name = "Public Speaking"
value = 3.41

[[workContext]]
name = "Contact With Others"
value = 3.27

[[workContext]]
name = "Health and Safety of Other Workers"
value = 3.27

[[workContext]]
name = "Time Pressure"
value = 3.26

[[workContext]]
name = "Coordinate or Lead Others in Accomplishing Work Activities"
value = 3.16

[[workContext]]
name = "Work Outcomes and Results of Other Workers"
value = 3.15

[[workContext]]
name = "Exposed to Very Hot or Cold Temperatures"
value = 3.15

[[workContext]]
name = "Freedom to Make Decisions"
value = 3.09

[[workContext]]
name = "Indoors, Environmentally Controlled"
value = 2.97

[[workContext]]
name = "Conflict Situations"
value = 2.94

[[workContext]]
name = "Exposed to Minor Burns, Cuts, Bites, or Stings"
value = 2.6

[[workContext]]
name = "Spend Time Making Repetitive Motions"
value = 2.42

[[workContext]]
name = "Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets"
value = 2.42

[[workContext]]
name = "Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls"
value = 2.37

[[workContext]]
name = "Level of Competition"
value = 2.28

[[workContext]]
name = "Dealing with Violent or Physically Aggressive People"
value = 2.27

[[workContext]]
name = "Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable"
value = 2.27

[[workContext]]
name = "Determine Tasks, Priorities and Goals"
value = 2.19

[[workContext]]
name = "Degree of Automation"
value = 2.18

[[workContext]]
name = "Spend Time Walking or Running"
value = 2.11

[[workContext]]
name = "Importance of Repeating Same Tasks"
value = 2.1

[[workContext]]
name = "Pace Determined by Speed of Equipment"
value = 2.05

[[workContext]]
name = "Spend Time Bending or Twisting Your Body"
value = 1.87

[[workContext]]
name = "Written Letters and Memos"
value = 1.83

[[workContext]]
name = "Indoors, Not Environmentally Controlled"
value = 1.73

[[workContext]]
name = "Exposed to Cramped Work Space, Awkward Positions"
value = 1.64

[[workContext]]
name = "E-Mail"
value = 1.63

[[workContext]]
name = "Spend Time Kneeling, Crouching, Stooping, or Crawling"
value = 1.54

[[workContext]]
name = "Exposed to Disease or Infections"
value = 1.43

[[personFit]]
name = "Realistic"
family = "career_interest_type"
value = 6.33

[[personFit]]
name = "Conventional"
family = "career_interest_type"
value = 4.32

[[personFit]]
name = "Physical/Manual Labor"
family = "specific_interest_area"
value = 3.61

[[personFit]]
name = "Enterprising"
family = "career_interest_type"
value = 3.36

[[personFit]]
name = "Social"
family = "career_interest_type"
value = 2.42

[[personFit]]
name = "Culinary Art"
family = "specific_interest_area"
value = 2.23

[[personFit]]
name = "Dependability"
family = "work_style"
value = 2.06

[[personFit]]
name = "Artistic"
family = "career_interest_type"
value = 1.85

[[personFit]]
name = "Personal Service"
family = "specific_interest_area"
value = 1.81

[[personFit]]
name = "Sales"
family = "specific_interest_area"
value = 1.65

[[personFit]]
name = "Management/Administration"
family = "specific_interest_area"
value = 1.44

[[personFit]]
name = "Investigative"
family = "career_interest_type"
value = 1.38

[[personFit]]
name = "Attention to Detail"
family = "work_style"
value = 1.38

[[personFit]]
name = "Human Resources"
family = "specific_interest_area"
value = 1.32

[[personFit]]
name = "Mechanics/Electronics"
family = "specific_interest_area"
value = 1.29

[[personFit]]
name = "Stress Tolerance"
family = "work_style"
value = 1.29

[[relatedRoles]]
socCode = "35-2015.00"
slug = "role-35-2015-00"
title = "Cooks, Short Order"
tier = "Primary-Short"

[[relatedRoles]]
socCode = "35-2014.00"
slug = "role-35-2014-00"
title = "Cooks, Restaurant"
tier = "Primary-Short"

[[relatedRoles]]
socCode = "35-2021.00"
slug = "role-35-2021-00"
title = "Food Preparation Workers"
tier = "Primary-Short"

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

[[relatedRoles]]
socCode = "35-2012.00"
slug = "role-35-2012-00"
title = "Cooks, Institution and Cafeteria"
tier = "Primary-Short"

[[relatedRoles]]
socCode = "35-3023.00"
slug = "role-35-3023-00"
title = "Fast Food and Counter Workers"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "51-3021.00"
slug = "role-51-3021-00"
title = "Butchers and Meat Cutters"
tier = "Primary-Long"

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

[[relatedRoles]]
socCode = "35-3023.01"
slug = "role-35-3023-01"
title = "Baristas"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "51-3092.00"
slug = "role-51-3092-00"
title = "Food Batchmakers"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "35-2013.00"
slug = "role-35-2013-00"
title = "Cooks, Private Household"
tier = "Supplemental"

[[relatedRoles]]
socCode = "35-1011.00"
slug = "role-35-1011-00"
title = "Chefs and Head Cooks"
tier = "Supplemental"

[[careerClusters]]
cluster = "Hospitality, Events, & Tourism"
slug = "hospitality-events-tourism"

[[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 = -0.7131837
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"

[[aiSignals]]
source = "felten_image_generation_aioe"
label = "Image generation occupational exposure"
score = -1.511315
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"

[[aiSignals]]
source = "felten_language_modeling_aioe"
label = "Language modeling occupational exposure"
score = -0.3906226
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"
