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Hydrologic Technicians

Occupation · SOC 19-4044.00

Collect and organize data concerning the distribution and circulation of ground and surface water, and data on its physical, chemical, and biological properties. Measure and report on flow rates and ground water levels, maintain field equipment, collect water samples, install and collect sampling equipment, and process samples for shipment to testing laboratories. May collect data on behalf of hydrologists, engineers, developers, government agencies, or agriculture.

Also called: Field Technician (Field Tech) · GIS Technician (Geographic Information System Technician) · Groundwater Monitoring Technician · Hydro Operator · Hydrographer · Hydrography Technician · Hydrologic Aid · Hydrologic Technician

Job family: Life, Physical, and Social Science Occupations

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A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-19-4044-00/context.md directly.

AI work map

A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.

73rd-percentile task overlap — yet about 400 openings a year (-2.1% projected, BLS) . What exposure means →

AI & job outlook

What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.

Exposure to current AI

Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.

Measure Rank vs all occupations Percentile Score
LLM task exposure, γ (OpenAI / Eloundou) High 67th 0.8
AI assistant applicability (Microsoft) High 76th 0.2

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.2), with simple added tooling (β 0.5), and including AI-powered software (γ 0.8). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

Outlook Declining · -2.1% by 2034
Projected annual openings 400
Employment 2024 → 2034 3,100 → 3,000

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

Tasks

All 16 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Work activities

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Tools & technology

Example Category
Adobe Acrobat Document management software Hot technology
ESRI ArcGIS software Geographic information system Hot technology
Microsoft Access Data base user interface and query software Hot technology
Microsoft Active Server Pages ASP Web platform development software Hot technology
Microsoft Excel Spreadsheet software Hot technology
Microsoft Office software Office suite software Hot technology
Microsoft Outlook Electronic mail software Hot technology
Microsoft PowerPoint Presentation software Hot technology
Microsoft Windows Operating system software Hot technology
Microsoft Word Word processing software Hot technology
Geographic information system GIS systems Geographic information system In demand
Datasurge GEOPRO Analytical or scientific software
Delft GeoSystems MStab Analytical or scientific software
Email software Electronic mail software
ESRI ArcInfo Geographic information system
ESRI ArcView Geographic information system
GEO-SLOPE SEEP/W Analytical or scientific software
Geographic information system GIS software Geographic information system
Mitre Software GSLOPE Analytical or scientific software
Salix Applied Earthcare Erosion Draw Analytical or scientific software
State Soil Geographic STATSGO Database Data base user interface and query software

How to get in

Job zone
Zone 3 — Job Zone Three: Medium Preparation Needed
Education
Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree.
Typical entry-level education
Associate's degree · BLS, the typical path — not a requirement
Related experience
Previous work-related skill, knowledge, or experience is required for these occupations. For example, an electrician must have completed three or four years of apprenticeship or several years of vocational training, and often must have passed a licensing exam, in order to perform the job.
Preparation level
SVP (6.0 to < 7.0) — total schooling plus on-the-job experience.

What to study: Physical Sciences , Science Technologies/Technicians . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Career interests (Holland / RIASEC)

Realistic 5.5
Conventional 5.3
Investigative 4.9

Interest areas

Physical Science 5.3
Nature/Outdoors 5.2
Mathematics/Statistics 3.9
Engineering 3.9
Physical/Manual Labor 3.0
Life Science 2.5
Mechanics/Electronics 2.5
Information Technology 2.3
Agriculture 2.2

Work styles

Dependability 3.0
Attention to Detail 2.6
Cautiousness 2.0
Intellectual Curiosity 2.0

Wages & employment

U.S. · annual wages (BLS OEWS)

$40k10th$47k25th$59kMedian$80k75th$94k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
3k20243k2034 (proj.)-2.1% · Declining
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $40,330
25th percentile $47,450
Median (50th) $58,570
75th percentile $79,790
90th percentile $94,310
People employed 2,940

Industries that employ this occupation

Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.

Industry Workers National median pay
Professional, Scientific, and Technical Services · Sector 480 $48,170
Utilities · Sector 160 $82,190
Testing Laboratories and Services · National industry 140 $46,840
Hydroelectric Power Generation · National industry 130 $78,170
Educational Services · Sector 80 $48,560
Other Services (except Public Administration) · Sector 60 $43,070
Manufacturing · Sector 50 $52,430
Engineering Services · National industry $45,690

Where this work is most concentrated

Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).

Industry Concentration Workers
Hydroelectric Power Generation · National industry 996.75× 130
Testing Laboratories and Services · National industry 43.09× 140
Utilities · Sector 14.48× 160
Professional, Scientific, and Technical Services · Sector 2.34× 480

Part of the Agriculture and Energy & Natural Resources career clusters.

Exposure quadrant: AI task-overlap percentile vs Median pay Hydrologic Technicians sits at the 73rd percentile of AI task-overlap and the 44th percentile of median pay, placed here against 12 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Hydrologic Technicians Geological Technicians, Except Hydrologic Technicians Environmental Science and Protection Technicians, Including Health Conservation Scientists Geodetic Surveyors Hydrologists Surveying and Mapping Technicians Water Resource Specialists Environmental Scientists and Specialists, Including Health Water/Wastewater Engineers Environmental Engineers AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

Options the data surfaces for Hydrologic Technicians — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Write a report on thisheadline · factoids · citation

Hydrologic Technicians show 73rd-percentile AI task overlap — and about 400 annual U.S. openings

  • Hydrologic Technicians rank in the 73rd percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
  • The occupation is projected to see about 400 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
  • BLS projects employment to be declining (-2.1%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $58,570, across about 2,940 U.S. workers.BLS OEWS (May 2024)
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Hydrologic Technicians show 73rd-percentile AI task overlap — and about 400 annual U.S. openings

• Hydrologic Technicians rank in the 73rd percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE)
• The occupation is projected to see about 400 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34)
• BLS projects employment to be declining (-2.1%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $58,570, across about 2,940 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Hydrologic Technicians". https://singulariki.com/roles/role-19-4044-00
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.

AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom

Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Hydrologic Technicians." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/roles/role-19-4044-00

APA

Singulariki. (2026). Hydrologic Technicians. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-19-4044-00

BibTeX
@misc{singulariki-role-19-4044-00,
  title  = {Hydrologic Technicians},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-19-4044-00}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.

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