# Forest Fire Inspectors and Prevention Specialists

> Enforce fire regulations, inspect forest for fire hazards, and recommend forest fire prevention or control measures. May report forest fires and weather conditions.

- **SOC code:** 33-2022.00
- **Canonical URL:** https://singulariki.com/roles/role-33-2022-00
- **Also known as:** Fire Management Officer, Fire Prevention Technician, Forest Officer, Forest Patrolman, Fire Operations Forester, Fire Prevention Officer, Fire Technician, Forestry Patrolman
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Relay messages about emergencies, accidents, locations of crew and personnel, and fire hazard conditions.
- Estimate sizes and characteristics of fires, and report findings to base camps by radio or telephone.
- Conduct wildland firefighting training.
- Direct crews working on firelines during forest fires.
- Locate forest fires on area maps, using azimuth sighters and known landmarks.
- Extinguish smaller fires with portable extinguishers, shovels, and axes.
- Patrol assigned areas, looking for forest fires, hazardous conditions, and weather phenomena.
- Compile and report meteorological data, such as temperature, relative humidity, wind direction and velocity, and types of cloud formations.
- Examine and inventory firefighting equipment, such as axes, fire hoses, shovels, pumps, buckets, and fire extinguishers, to determine amount and condition.
- Educate the public about fire safety and prevention.
- Direct maintenance and repair of firefighting equipment, or requisition new equipment.
- Maintain records and logbooks.

**Emerging tasks** (O*NET):
- Operate drones to monitor and assess fire conditions, track fire progress, and identify safe access points for firefighters.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Administration and Management _(knowledge)_
- Critical Thinking _(essential_skill)_
- Oral Expression _(ability)_
- Problem Sensitivity _(ability)_
- Oral Comprehension _(ability)_
- Customer and Personal Service _(knowledge)_
- Speaking _(essential_skill)_
- Coordination _(transferable_skill)_
- Education and Training _(knowledge)_
- Personnel and Human Resources _(knowledge)_
- Public Safety and Security _(knowledge)_
- Active Listening _(essential_skill)_

**Skills in demand:**
- Critical Thinking _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Active Listening _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Complex Problem Solving _(Common Skill)_
- English Language _(Common Skill)_
- Instructing _(Specialized Skill)_
- Geography _(Specialized Skill)_
- Writing _(Common Skill)_
- Time Management _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Reading Comprehension _(Common Skill)_

**Tools & technology:**
- Amazon Web Services AWS CloudFormation _(hot technology)_
- Amazon Web Services AWS software _(hot technology)_
- Ansible software _(hot technology)_
- Docker _(hot technology)_
- Facebook _(hot technology)_
- Git _(hot technology)_
- Kubernetes _(hot technology)_
- Linux _(hot technology)_
- Microsoft Active Server Pages ASP _(hot technology)_
- Microsoft Azure software _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_

## AI exposure & outlook

- **AI task-overlap index:** 26th percentile (Low) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 42nd percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 33rd percentile (Low) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 10th percentile (Low) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 23rd percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 14.6% growth (Growing fast); 0.3k annual openings; 2.9k → 3.3k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $52,380; 2,780 employed.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-33-2022-00_