Market signal
Independent published positions, read together — not a forecast.
- Declining employment outlook (-2.1% by 2034)
- 400 openings/yr
- High AI exposure
- Median pay $58,570/yr
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
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-19-4044-00/context.md directly.
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.
Independent published positions, read together — not a forecast.
73rd-percentile task overlap — yet about 400 openings a year (-2.1% projected, BLS) . What exposure means →
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.
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.
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.
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.
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
What to study: Physical Sciences , Science Technologies/Technicians . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
The interests and personal qualities O*NET associates with people who do this work.
| Realistic | 5.5 | |
| Conventional | 5.3 | |
| Investigative | 4.9 |
| 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 |
| Dependability | 3.0 | |
| Attention to Detail | 2.6 | |
| Cautiousness | 2.0 | |
| Intellectual Curiosity | 2.0 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $40,330 |
| 25th percentile | $47,450 |
| Median (50th) | $58,570 |
| 75th percentile | $79,790 |
| 90th percentile | $94,310 |
| People employed | 2,940 |
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 |
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.
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for Hydrologic Technicians — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
See where this work sits in the bigger picture.
Hydrologic Technicians show 73rd-percentile AI task overlap — and about 400 annual U.S. openings
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.
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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.
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.
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
Singulariki. (2026). Hydrologic Technicians. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-19-4044-00
@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.