Hydrogeologists study how water moves through soil and rock, mapping aquifers and assessing groundwater quality and availability. They design and oversee monitoring wells, model contaminant plumes, evaluate sites for construction or waste disposal, and support municipalities, mining companies, and environmental agencies in managing water resources. Their work blends fieldwork—drilling, sampling, and testing—with laboratory analysis and computer modeling to predict how water and pollutants will behave underground over time.
| Entry level | $52,000 |
| Median | $85,000 |
| Senior | $120,000 |
| Top 10% | $150,000 |
| Job growth | +5% |
| Professionals in the USA | 0.04 million |
| Typical hours/week | 42 hrs |
| Remote work share | 10% |
| Annual job openings | 3,300/yr |
| Demand | Moderate |
AI is enhancing hydrogeology by improving groundwater modeling, data analysis, and predictive simulations, but the field's reliance on fieldwork, site-specific judgment, and physical sampling limits full automation. Hydrogeologists increasingly use AI as a tool for interpreting complex datasets and running scenario models, freeing time for interpretation and decision-making. The physical, regulatory, and consultative nature of the work keeps human expertise central.
Automation exposure: Routine data processing, groundwater flow modeling calculations, report drafting, and analysis of sensor/well data can be increasingly automated with AI and machine learning tools.
The human edge: AI cannot conduct physical fieldwork like drilling supervision, aquifer testing, or sample collection, nor can it navigate complex regulatory negotiations, interpret ambiguous geological contexts, or build client and stakeholder trust in contamination or water rights disputes.
Figures are estimates for exploration — verify current data with BLS.gov.