Wildland firefighters suppress and manage fires in forests, grasslands, and other natural areas. They work on hand crews, engine crews, hotshot crews, smokejumper teams, and helitack units, using hand tools, chainsaws, hoses, and controlled burns to build fire lines, extinguish hot spots, and protect structures. Employers include the U.S. Forest Service, Bureau of Land Management, National Park Service, state agencies like CAL FIRE, and private contractors.
The work is physically grueling and often means 14-day deployments, 16-hour shifts, and sleeping in remote fire camps. Pay is boosted heavily by overtime and hazard pay, and the season is long and getting longer as fire seasons expand. Many start in seasonal roles and move into permanent positions, fire management officer roles, or structural firefighting careers. The mission-driven culture and camaraderie are major draws, though burnout and health risks are real concerns.
| Entry level | $32,000 |
| Median | $58,000 |
| Senior | $85,000 |
| Top 10% | $120,000 |
| Job growth | +4% |
| Professionals in the USA | 0.03 million |
| Typical hours/week | 50 hrs |
| Remote work share | 0% |
| Annual job openings | 6,000/yr |
| Demand | 3.7 / 10 (Low) |
AI is enhancing wildland firefighting through better fire prediction, satellite and drone detection, and resource-allocation modeling, but it is not replacing the people on the fireline. The work is physically intense, unpredictable, and carried out in rugged terrain where robots and automation remain impractical.
Automation exposure: AI can automate fire-spread modeling, early detection from cameras and satellite imagery, weather analysis, drone-based mapping and reconnaissance, and logistics or dispatch optimization. Direct fireline tasks such as digging containment lines, felling trees, running hose lays, and conducting burnouts remain largely manual.
The human edge: Split-second judgment under danger, physical endurance, reading changing terrain and fire behavior in real time, teamwork and trust within crews, and ethical decision-making about risk to life cannot be replicated by AI. Operating chainsaws, pumps, and hand tools in remote, unpredictable environments requires adaptable human skill.
Figures are estimates for exploration — verify current data with BLS.gov.