Hydrologic Technician
Structural exposure score derived from 1 independent source (OpenAI "GPTs are GPTs" (human_rating_beta)), each normalized against its own full reference population and combined by simple average, then converted to a percentile.
We have not ingested real-world usage data for this occupation yet. We show a band only where genuine data exists, rather than estimate one.
What a hydrologic technician actually does
Hydrologic technicians collect and organize data on the distribution and circulation of ground and surface water, gathering field measurements of flow rate, water level, and precipitation, and collecting water and soil samples to test for physical, chemical, or biological properties. Core tasks include maintaining and calibrating field monitoring equipment, processing samples in a lab, and preparing reports on contamination levels or environmental impacts for the hydrologist or agency staff who use that data. Sample duties often mirror the U. S.
government's own Hydrologic Technician job series (GS-1316), reflecting how much of this occupation's work happens for a federal, state, or local water-resources agency.
Most hydrologic technicians work for a government agency (the U.S. Geological Survey, a state department of natural resources, or a local water authority) or an environmental consulting firm supporting a hydrologist's own research and reporting. The role sits at Job Zone Three on O*NET's preparation scale, typically requiring vocational training or an associate degree plus 1-2 years of on-the-job field experience, with no individual license standing between a technician and the job.
Why it reads this way
Hydrologic Technician scores just 14/100 on this site's structural exposure measure, one of the lowest readings on the entire site (Low confidence — only the OpenAI pillar covers this code, AIOE's older taxonomy has no match), reflecting how closely this occupation's actual work, recording flow-rate and water-level readings, processing samples, and preparing standardized environmental data reports, resembles the structured data-collection and reporting tasks current AI handles well.
No individual license protects this occupation, and O*NET's own Job Outlook already shows real, current decline (-1% or lower through 2034), a Primary-tier government projection rather than a vendor's forward-looking claim.
Real, mature automated water-quality monitoring technology explains why that decline is plausible, not just theoretical. Remote sensor networks and Internet-of-Things telemetry now let agencies collect flow, level, and water-quality data continuously and in real time without a technician physically visiting each monitoring station, and AI-driven analysis of that sensor and remote-sensing data is now described in industry and academic coverage as one of the most actively pursued strategies for automating water information extraction.
This shifts a meaningful share of a hydrologic technician's traditional field-visit-and-manual-sample-collection role toward equipment installation and maintenance rather than routine data gathering itself, work that still needs people but fewer of them per monitoring network than manual site visits once required.
Skills this role draws on
Range source: BLS OEWS wage data via O*NET OnLine (2025 release), SOC 19-4044.00 'Hydrologic Technicians'
Average source: BLS OEWS wage data for Hydrologic Technicians (19-4044.00) via O*NET OnLine, 2025 wage data (Annual Median Wage)
Safer, skill-adjacent careers
These aren't generic "consider retraining" suggestions. Each one shares real skill or task overlap with hydrologic technician work, and each one scores meaningfully higher on our structural exposure scale, with the reasoning shown below.
Directly related field and analytical skill set applied to the same water-resources domain, but the hydrologist role sits at the scientist tier doing interpretation and research design, work automated telemetry and sensor networks assist rather than replace.
A comparable field-sampling and instrument-based technical career in a related earth-science domain, offering a similar day-to-day work style without this occupation's declining BLS growth projection.
Shares a similar environmental-data and fieldwork orientation, but backed by real federal/state statutory inspection authority this technician-tier data-collection role doesn't carry.
Hydrologic Technician scores just 14/100 (Low structural confidence — only the OpenAI pillar covers this code), one of the lowest readings on the site, reflecting how closely flow-rate/water-level recording, sample processing, and standardized environmental reporting resemble automatable data-collection work. No individual license protects this occupation, and O*NET's own Job Outlook already shows real decline (-1% or lower through 2034), a government projection rather than a forward-looking vendor claim. Real, mature automated water-quality monitoring technology explains why: remote sensor networks and IoT telemetry now collect flow, level, and water-quality data continuously without a technician physically visiting each station, and AI-driven analysis of that sensor data is described in industry and academic coverage as an actively pursued strategy for automating water information extraction. This shifts the traditional field-visit-and-manual-sampling role toward equipment maintenance rather than routine data gathering, needing fewer people per monitoring network than manual visits once required, as of 2026-09-21.
This is a researched judgment (checklist v1.2), not a statistical measurement — it sits alongside, not instead of, the structural exposure signal above. Next scheduled review: 2027-03-21.
Data sources & methodology
Salary data: BLS OEWS wage data via O*NET OnLine (2025 release), SOC 19-4044.00 'Hydrologic Technicians'. Average figure sourced separately: BLS OEWS wage data for Hydrologic Technicians (19-4044.00) via O*NET OnLine, 2025 wage data (Annual Median Wage).
Task descriptions: Based on O*NET occupational analysis (19-4044.00).
Real-world AI usage band: Microsoft's "Working with AI" study of Bing Copilot conversations mapped to O*NET tasks (arXiv 2507.07935), and corroborating data from the Anthropic Economic Index.
Growth projections: Decline (-1% or lower, 2024-2034) per O*NET's Job Outlook, ~400 projected openings driven by replacement needs rather than growing headcount (BLS Occupational Outlook Handbook / O*NET), based on BLS Occupational Outlook Handbook.