entityType = "role"
schemaVersion = "role.v1"
slug = "role-19-4099-00"
socCode = "19-4099.00"
title = "Life, Physical, and Social Science Technicians, All Other"
summary = "All life, physical, and social science technicians not listed separately."
aliases = ["Assistant Oceanographer", "Biomedical Instrument Technician", "City Planning Aide", "Colorist", "Data Reduction Technician", "Excavator", "Gamma Facilities Operator", "Gamma Ray Operator", "Hot Cell Technician", "Hydrographer", "Laboratory Assistant", "Laboratory Technician"]
tasks = []
emergingTasks = []
activities = []
capabilities = []
skills = []
tools = []
workContext = []
personFit = []
relatedRoles = []

[preparation]
educationDistribution = []

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

[market]
medianWage = 60130
meanWage = 64640
pct10Wage = 37310
pct25Wage = 46270
pct75Wage = 77990
pct90Wage = 101870
employment = 71400
areaTitle = "U.S."

[industries]
count = 24

[[industries.top]]
naics = "61"
slug = "61"
title = "Educational Services"
level = "Sector"
employment = 21830
medianWage = 60130
lq = 3.46

[[industries.top]]
naics = "54"
slug = "54"
title = "Professional, Scientific, and Technical Services"
level = "Sector"
employment = 16840
medianWage = 62460
lq = 3.38

[[industries.top]]
naics = "31-33"
slug = "31-33"
title = "Manufacturing"
level = "Sector"
employment = 8800
medianWage = 62990
lq = 1.49

[[industries.top]]
naics = "56"
slug = "56"
title = "Administrative and Support and Waste Management and Remediation Services"
level = "Sector"
employment = 5980
medianWage = 46750
lq = 1.43

[[industries.top]]
naics = "561320"
slug = "561320"
title = "Temporary Help Services"
level = "National industry"
employment = 5050
medianWage = 46270
lq = 4.11

[[industries.top]]
naics = "62"
slug = "62"
title = "Health Care and Social Assistance"
level = "Sector"
employment = 4050
medianWage = 59370
lq = 0.38

[[industries.top]]
naics = "541380"
slug = "541380"
title = "Testing Laboratories and Services"
level = "National industry"
employment = 2040
medianWage = 48470
lq = 25.85

[[industries.top]]
naics = "42"
slug = "42"
title = "Wholesale Trade"
level = "Sector"
employment = 1210
medianWage = 60980
lq = 0.43

[[industries.top]]
naics = "541330"
slug = "541330"
title = "Engineering Services"
level = "National industry"
employment = 1180
medianWage = 72900
lq = 2.2

[[industries.top]]
naics = "55"
slug = "55"
title = "Management of Companies and Enterprises"
level = "Sector"
employment = 730
medianWage = 64720
lq = 0.56

[[industries.top]]
naics = "52"
slug = "52"
title = "Finance and Insurance"
level = "Sector"
employment = 670
medianWage = 61600
lq = 0.23

[[industries.top]]
naics = "541720"
slug = "541720"
title = "Research and Development in the Social Sciences and Humanities"
level = "National industry"
employment = 570
medianWage = 51010
lq = 20.25

[[industries.concentrated]]
naics = "541380"
slug = "541380"
title = "Testing Laboratories and Services"
level = "National industry"
employment = 2040
lq = 25.85

[[industries.concentrated]]
naics = "541720"
slug = "541720"
title = "Research and Development in the Social Sciences and Humanities"
level = "National industry"
employment = 570
lq = 20.25

[[industries.concentrated]]
naics = "561320"
slug = "561320"
title = "Temporary Help Services"
level = "National industry"
employment = 5050
lq = 4.11

[[industries.concentrated]]
naics = "61"
slug = "61"
title = "Educational Services"
level = "Sector"
employment = 21830
lq = 3.46

[[industries.concentrated]]
naics = "54"
slug = "54"
title = "Professional, Scientific, and Technical Services"
level = "Sector"
employment = 16840
lq = 3.38

[[industries.concentrated]]
naics = "541330"
slug = "541330"
title = "Engineering Services"
level = "National industry"
employment = 1180
lq = 2.2

[[industries.concentrated]]
naics = "31-33"
slug = "31-33"
title = "Manufacturing"
level = "Sector"
employment = 8800
lq = 1.49

[[industries.concentrated]]
naics = "56"
slug = "56"
title = "Administrative and Support and Waste Management and Remediation Services"
level = "Sector"
employment = 5980
lq = 1.43

[aiOutlook]
teleworkable = true
usageTasks = []

[aiOutlook.index]
value = 70
percentile = 70
band = "High"
version = "ai-exposure-index-v1"
componentCount = 3

[[aiOutlook.index.components]]
percentile = 59
source = "felten_aioe"

[[aiOutlook.index.components]]
percentile = 95
source = "openai_gpts_are_gpts"

[[aiOutlook.index.components]]
percentile = 56
source = "microsoft_working_with_ai"

[aiOutlook.freyHistorical]
source = "frey"
label = "Computerization probability (Frey & Osborne, 2013)"
value = 0.61
percentile = 52
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 = 0.0967741935483871
beta = 0.5483870967741935
gamma = 1

[aiOutlook.bls]
growthPercent = 3.5
growthPercentile = 58
direction = "About average"
annualOpeningsThousands = 10.6
annualOpeningsPercentile = 65
employment2024Thousands = 83.2
employment2034Thousands = 86.2

[[aiOutlook.exposure]]
source = "felten_aioe"
label = "Overall AI exposure (Felten et al.)"
value = 0.4501044
percentile = 59
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 = 1
percentile = 95
band = "High"
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 = 0.16353393404198527
percentile = 56
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.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 = "c0e18d5c935ec92c"

[[careerClusters]]
cluster = "Education"
slug = "education"

[[studyPrograms]]
title = "Homeland Security, Law Enforcement, Firefighting and Related Protective Services"
slug = "homeland-security-law-enforcement-firefighting-and-related-protective-services"

[[studyPrograms]]
title = "Physical Sciences"
slug = "physical-sciences"

[[studyPrograms]]
title = "Science Technologies/Technicians"
slug = "science-technologies-technicians"

[[studyPrograms]]
title = "Social Sciences"
slug = "social-sciences"

[[aiSignals]]
source = "frey_osborne"
label = "Computerization probability"
score = 0.61
scale = "0-1 probability"
release = "2013-baseline-2016-employment-snapshot"

[[aiSignals]]
source = "felten_aioe"
label = "AI occupational exposure"
score = 0.4501044
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"

[[aiSignals]]
source = "felten_image_generation_aioe"
label = "Image generation occupational exposure"
score = 1.0026
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"

[[aiSignals]]
source = "felten_language_modeling_aioe"
label = "Language modeling occupational exposure"
score = 0.176155
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"
