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Forest and Conservation Technicians

Life, Physical, and Social Science · SOC 19-4071

2.2% AI Exposure — Medium
$54,560
Median Annual Salary
Average
O*NET Outlook
Proj. Annual Openings
30,410
Employment (OEWS 2025)
+8.1%/yr
Empl. growth (2019–2025)
98/100
AI Resiliency Score

AI exposure from the Anthropic Economic Index (2025); salary from BLS; skills from O*NET. See /sources.

Decision card

Career Evidence Passport

SOC 19-4071 evidence across exposure, wages, projections, postings, certified LCAs, skills, and transitions.

Proxy / seed data labeledDescriptive-only
SOC exposure
2.2%
Medium · Anthropic AEI
Automation friction
34/100
Low friction; broad SOC seed ORS job-requirements coverage.
Wages
$54,560
No H-1B offered-wage row for this SOC.
Projected openings
BLS EP 2024–2034; employment change -3.2%.
Observed/proxy demand
0
FY2025 certified LCAs; 614 postings in 2025.

Skill evidence

Active ListeningCritical ThinkingReading ComprehensionSpeakingJudgment and Decision Making
  • H-1B values are certified Labor Condition Applications, not visa approvals.
  • Job postings are seed-static / seed-derived; treat as provider-ready proxy coverage until observed provider data is wired in.
  • Transition matches are directional skill-overlap context, not placement guarantees.
  • This release is a FutureGrid broad-SOC seed derived from public BLS ORS requirement concepts and categories, not direct occupation-level ORS survey estimates. It describes job requirements, not worker ability, AI capability, or displacement probability. Automation friction is a FutureGrid derived score and should be read alongside exposure, demand, wage, and projection signals.

Best transitions from here

Explore all pathways

Lower AI-exposure roles that reuse your skills, ranked by a transition score (skills that transfer, safety gain, pay and retraining effort).

AI Exposure Analysis

AI Exposure2.2%
AI Resiliency98/100
Exposure BandMedium
Sector Avg. Exposure9.7%

Across AI measures

Multiple exposure lenses for this occupation.

27.5%
Consensus
Actual adoption · Anthropic2.2%
AI capability · OpenAI32.7%
AI ability · AIOE47.7%
Automation baseline (2013) · Frey & Osborne42%

AI could do ~32.7% of this role but only ~2.2% is currently done with AI — a large capability-vs-adoption gap.

Top Skills

1.Active Listening
2.Critical Thinking
3.Reading Comprehension
4.Speaking
5.Judgment and Decision Making

H-1B Visa Sponsorship Demand

View full H-1B trends →

Certified H-1B Labor Condition Applications naming this occupation, FY2016–FY2025. A descriptive high-skill labor-demand signal — employer filings, not visa approvals or individual outcomes. Note: one LCA can cover multiple worker positions.

3
Decade Total (Certified LCAs)
0
FY2025 Volume
0% of all H-1B filings in FY2025
$0
Median Offered Wage (Latest Year)
#579 of 776
Rank by Total Volume
H-1B filing volume, FY2016–FY2025

O*NET occupation profile

What this work involves

Provide technical assistance regarding the conservation of soil, water, forests, or related natural resources. May compile data pertaining to size, content, condition, and other characteristics of forest tracts under the direction of foresters, or train and lead forest workers in forest propagation and fire prevention and suppression. May assist conservation scientists in managing, improving, and protecting rangelands and wildlife habitats.

Common titles: Biological Science Aide, Forest Technician, Forestry Aide, Forestry Technician (Forestry Tech), Resource Technician, Timber Appraiser

Representative Tasks

  • Thin and space trees and control weeds and undergrowth, using manual tools and chemicals, or supervise workers performing these tasks.
  • Train and lead forest and conservation workers in seasonal activities, such as planting tree seedlings, putting out forest fires, and maintaining recreational facilities.
  • Provide information about, and enforce, regulations, such as those concerning environmental protection, resource utilization, fire safety, and accident prevention.
  • Patrol park or forest areas to protect resources and prevent damage.
  • Map forest tract data using digital mapping systems.

Detailed Work Activities

  • Record research or operational data.
  • Cultivate land.
  • Manage agricultural or forestry operations.
  • Supervise scientific or technical personnel.
  • Train personnel in technical or scientific procedures.

Tools & Technologies

ESRI ArcGIS software · hotMicrosoft Access · hotMicrosoft PowerPoint · hotGeographic information system GIS systemsAllegro LandmarkAssisi CompilerAssisi ForestBen Meadows Yeoman ExpeditionCorel PresentationESRI ArcView

Employment Projections & AI Exposure

15
Occupations Shown
12.1%
Avg AI Exposure
8
Bright Outlook
Horizontal bar chart showing occupations with the highest projected annual openings. Each bar length represents annual projected openings. Color uses a gradient from violet (lower) to cyan (higher). Summary statistics are shown above the chart.

Employment & Wage Trend

BLS OEWS, 2019–2025


Occupation Employment & Wage TrendMulti-year BLS OEWS history for SOC 19-4071: 2019 — employment: 19,060, median wage: $45,500; 2020 — employment: 30,150, median wage: $38,940; 2021 — employment: 30,440, median wage: $39,290; 2022 — employment: 29,120, median wage: $41,520; 2023 — employment: 28,740, median wage: $51,880; 2025 — employment: 30,410, median wage: $54,560.

Source: U.S. Bureau of Labor Statistics Occupational Employment and Wage Statistics (OEWS). See /sources.

Sector Comparison

MetricThis CareerSector Average
AI Exposure2.2%9.7%
OutlookAverage37% Bright
Median Salary$54,560N/A
AI Resiliency98/100N/A