entityType = "role"
schemaVersion = "role.v1"
slug = "role-17-3029-00"
socCode = "17-3029.00"
title = "Engineering Technologists and Technicians, Except Drafters, All Other"
summary = "All engineering technologists and technicians, except drafters, not listed separately."
aliases = ["Agricultural Engineering Technician", "Agricultural Engineering Technicians", "Agricultural Engineering Technologist", "Air Analyst", "Air Tester", "Biomedical Engineering Aide", "Biomedical Engineering Technician", "Biomedical Engineering Technologist", "Blueprint Engineer", "Chemical Engineering Technician", "Chemical Engineering Technologist", "Drawing Checker"]
tasks = []
emergingTasks = []
activities = []
capabilities = []
skills = []
tools = []
workContext = []
personFit = []
relatedRoles = []

[preparation]
educationDistribution = []

[educationLevel]
category = "Associate's degree"
slug = "associate-s-degree"

[market]
medianWage = 77390
meanWage = 79740
pct10Wage = 47010
pct25Wage = 59700
pct75Wage = 97760
pct90Wage = 114630
employment = 64410
areaTitle = "U.S."

[industries]
count = 22

[[industries.top]]
naics = "54"
slug = "54"
title = "Professional, Scientific, and Technical Services"
level = "Sector"
employment = 19500
medianWage = 70520
lq = 4.33

[[industries.top]]
naics = "31-33"
slug = "31-33"
title = "Manufacturing"
level = "Sector"
employment = 17150
medianWage = 68010
lq = 3.22

[[industries.top]]
naics = "541330"
slug = "541330"
title = "Engineering Services"
level = "National industry"
employment = 4810
medianWage = 65790
lq = 9.96

[[industries.top]]
naics = "541380"
slug = "541380"
title = "Testing Laboratories and Services"
level = "National industry"
employment = 4580
medianWage = 63340
lq = 64.34

[[industries.top]]
naics = "56"
slug = "56"
title = "Administrative and Support and Waste Management and Remediation Services"
level = "Sector"
employment = 1460
medianWage = 66920
lq = 0.39

[[industries.top]]
naics = "61"
slug = "61"
title = "Educational Services"
level = "Sector"
employment = 1380
medianWage = 63000
lq = 0.24

[[industries.top]]
naics = "55"
slug = "55"
title = "Management of Companies and Enterprises"
level = "Sector"
employment = 1360
medianWage = 77840
lq = 1.16

[[industries.top]]
naics = "561320"
slug = "561320"
title = "Temporary Help Services"
level = "National industry"
employment = 1040
medianWage = 65360
lq = 0.94

[[industries.top]]
naics = "48-49"
slug = "48-49"
title = "Transportation and Warehousing"
level = "Sector"
employment = 1030
medianWage = 83620
lq = 0.33

[[industries.top]]
naics = "42"
slug = "42"
title = "Wholesale Trade"
level = "Sector"
employment = 950
medianWage = 66870
lq = 0.38

[[industries.top]]
naics = "21"
slug = "21"
title = "Mining, Quarrying, and Oil and Gas Extraction"
level = "Sector"
employment = 750
medianWage = 86450
lq = 3.13

[[industries.top]]
naics = "22"
slug = "22"
title = "Utilities"
level = "Sector"
employment = 730
medianWage = 100100
lq = 3.02

[[industries.concentrated]]
naics = "541380"
slug = "541380"
title = "Testing Laboratories and Services"
level = "National industry"
employment = 4580
lq = 64.34

[[industries.concentrated]]
naics = "541330"
slug = "541330"
title = "Engineering Services"
level = "National industry"
employment = 4810
lq = 9.96

[[industries.concentrated]]
naics = "221113"
slug = "221113"
title = "Nuclear Electric Power Generation"
level = "National industry"
employment = 100
lq = 6.45

[[industries.concentrated]]
naics = "221112"
slug = "221112"
title = "Fossil Fuel Electric Power Generation"
level = "National industry"
employment = 130
lq = 4.37

[[industries.concentrated]]
naics = "54"
slug = "54"
title = "Professional, Scientific, and Technical Services"
level = "Sector"
employment = 19500
lq = 4.33

[[industries.concentrated]]
naics = "31-33"
slug = "31-33"
title = "Manufacturing"
level = "Sector"
employment = 17150
lq = 3.22

[[industries.concentrated]]
naics = "21"
slug = "21"
title = "Mining, Quarrying, and Oil and Gas Extraction"
level = "Sector"
employment = 750
lq = 3.13

[[industries.concentrated]]
naics = "22"
slug = "22"
title = "Utilities"
level = "Sector"
employment = 730
lq = 3.02

[aiOutlook]
teleworkable = false
usageTasks = []

[aiOutlook.index]
value = 53
percentile = 52
band = "Moderate"
version = "ai-exposure-index-v1"
componentCount = 3

[[aiOutlook.index.components]]
percentile = 53
source = "felten_aioe"

[[aiOutlook.index.components]]
percentile = 37
source = "openai_gpts_are_gpts"

[[aiOutlook.index.components]]
percentile = 69
source = "microsoft_working_with_ai"

[aiOutlook.freyHistorical]
source = "frey"
label = "Computerization probability (Frey & Osborne, 2013)"
value = 0.24
percentile = 36
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 = 0.11111111111111112
beta = 0.24444444444444446
gamma = 0.37777777777777777

[aiOutlook.bls]
growthPercent = 1.5
growthPercentile = 36
direction = "About average"
annualOpeningsThousands = 5.7
annualOpeningsPercentile = 52
employment2024Thousands = 67.3
employment2034Thousands = 68.3

[[aiOutlook.exposure]]
source = "felten_aioe"
label = "Overall AI exposure (Felten et al.)"
value = 0.1941278
percentile = 53
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 = 0.37777777777777777
percentile = 37
band = "Moderate"
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 = 0.20419052720041778
percentile = 69
band = "High"
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 = 0
skills = 0
capabilities = 0
tools = 0
relatedRoles = 0

[source]
dataset = "gold.onet_role_starter_surface"
version = "30.3"
generatedAt = "2026-06-02T21:00:32.945303+00:00"
contentHash = "5af6e6e7e247c802"

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

[[careerClusters]]
cluster = "Arts, Entertainment, & Design"
slug = "arts-entertainment-design"

[[careerClusters]]
cluster = "Construction"
slug = "construction"

[[careerClusters]]
cluster = "Energy & Natural Resources"
slug = "energy-natural-resources"

[[careerClusters]]
cluster = "Public Service & Safety"
slug = "public-service-safety"

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

[[studyPrograms]]
title = "Engineering/Engineering-Related Technologies/Technicians"
slug = "engineering-engineering-related-technologies-technicians"

[[studyPrograms]]
title = "Military Technologies and Applied Sciences"
slug = "military-technologies-and-applied-sciences"

[[aiSignals]]
source = "frey_osborne"
label = "Computerization probability"
score = 0.24
scale = "0-1 probability"
release = "2013-baseline-2016-employment-snapshot"

[[aiSignals]]
source = "felten_aioe"
label = "AI occupational exposure"
score = 0.1941278
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"

[[aiSignals]]
source = "felten_image_generation_aioe"
label = "Image generation occupational exposure"
score = 0.6988024
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"

[[aiSignals]]
source = "felten_language_modeling_aioe"
label = "Language modeling occupational exposure"
score = -0.0792918
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"
