Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Fish and Game Wardens
Occupation · SOC 33-3031.00
Patrol assigned area to prevent fish and game law violations. Investigate reports of damage to crops or property by wildlife. Compile biological data.
Also called: Game Warden · Natural Resource Officer · State Game Warden · Wildlife Officer · Fisheries Enforcement Officer · State Wildlife Officer · Wildlife Conservation Officer · Community Resource Officer · Conservation Enforcement Officer · Conservation Officer · District Resource Officer · Environmental Conservation Officer
Job family: Protective Service Occupations
Take this to your AI
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-33-3031-00/context.md directly.
AI work map
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
Market signal
Independent published positions, read together — not a forecast.
- Declining employment outlook (-6.0% by 2034)
- 500 openings/yr
- Moderate AI exposure
- Median pay $68,180/yr
- Work is mostly on-site (not teleworkable)
38th-percentile task overlap — yet about 500 openings a year (-6% projected, BLS) . What exposure means →
AI & job outlook
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Exposure to current AI
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| Overall AI exposure (Felten et al.) Moderate | 36th | -0.5 | |
| LLM task exposure, γ (OpenAI / Eloundou) Moderate | 42nd | 0.5 | |
| AI assistant applicability (Microsoft) Moderate | 41st | 0.1 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.3), and including AI-powered software (γ 0.5). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.
Historical automation estimate (2013)
A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.
Frey–Osborne probability 0.1 · 26th percentile among occupations · Low
How AI is actually used in this job
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Provide advice or information to park or reserve visitors. | 0.9% |
Job outlook
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | Declining · -6.0% by 2034 |
| Projected annual openings | 500 |
| Employment 2024 → 2034 | 7,000 → 6,600 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
Where this work sits on the global GenAI gradient
The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.
Fish and Game Wardens sits at the 33rd percentile of 427
occupations on the global GenAI task-exposure gradient
— exposure eased from 2023 to 2025. Each dot is one occupation; the
ringed one is this work. Exposure is task overlap, not automation or jobs lost.
20% mean task exposure (2025)
33rd percentile of 427 placed occupations
−1 pts shift 2023 → 2025
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Protective Services Workers Not Elsewhere Classified · 5419 | 20% | Not exposed |
Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.
Tasks
All 24 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
- Patrol assigned areas by car, boat, airplane, horse, or on foot to enforce game, fish, or boating laws or to manage wildlife programs, lakes, or land. Core · importance 4.8
- Compile and present evidence for court actions. Core · importance 4.6
- Investigate hunting accidents or reports of fish or game law violations. Core · importance 4.6
- Protect and preserve native wildlife, plants, or ecosystems. Core · importance 4.5
- Issue warnings or citations and file reports as necessary. Core · importance 4.5
- Serve warrants and make arrests. Core · importance 4.3
- Provide assistance to other local law enforcement agencies as required. Core · importance 4.2
- Promote or provide hunter or trapper safety training. Core · importance 4.0
- Participate in search-and-rescue operations. Core · importance 4.0
- Arrange for disposition of fish or game illegally taken or possessed. Core · importance 4.0
- Seize equipment used in fish and game law violations. Core · importance 4.0
- Address schools, civic groups, sporting clubs, or the media to disseminate information concerning wildlife conservation and regulations. Core · importance 3.9
- Recommend revisions in hunting and trapping regulations or in animal management programs so that wildlife balances or habitats can be maintained. Core · importance 3.9
- Inspect commercial operations relating to fish or wildlife, recreation, or protected areas. Core · importance 3.9
- Survey areas and compile figures of bag counts of hunters to determine the effectiveness of control measures. Core · importance 3.8
- Collect and report information on populations or conditions of fish and wildlife in their habitats, availability of game food or cover, or suspected pollution. Core · importance 3.8
- Design or implement control measures to prevent or counteract damage caused by wildlife or people. Core · importance 3.6
- Provide advice or information to park or reserve visitors. Core · importance 3.4
- Investigate crop, property, or habitat damage or destruction or instances of water pollution to determine causes and to advise property owners of preventive measures. Core · importance 3.3
- Issue licenses, permits, or other documentation. Core · importance 3.2
- Document the extent of crop, property, or habitat damage and make financial loss estimates or compensation recommendations. Supplemental · importance 3.1
- Supervise the activities of seasonal workers. Supplemental · importance 2.9
- Perform facilities maintenance work, such as constructing or repairing structures or controlling weeds or pests. Supplemental · importance 2.9
- Participate in firefighting efforts. Supplemental · importance 2.6
Emerging tasks
Newer responsibilities O*NET has flagged as growing for this occupation.
- Operate drones for surveillance of large areas and tracking of wildlife.
Work activities
- Prepare investigation or incident reports.
- Testify at legal or legislative proceedings.
- Investigate illegal or suspicious activities.
- Investigate accidents to determine causes.
- Issue warnings or citations.
- Apprehend criminal suspects.
- Serve court ordered documents.
- Rescue people from hazardous situations.
- Arrange delivery of goods or services.
- Confiscate prohibited or dangerous items.
- Perform forest firefighting activities.
- Patrol natural areas to ensure safety or enforce regulations.
- Protect wildlife or natural areas.
- Provide safety training.
- Collaborate with law enforcement or security agencies to respond to incidents.
- Inform the public about policies, services or procedures.
- Inspect operational processes.
- Record information about environmental conditions.
- Observe individuals' activities to gather information or compile evidence.
- Supervise employees.
- Issue permits or other legal documents.
- Maintain facilities.
Knowledge, skills & abilities
O*NET importance rating, from 1 (not important) to 5 (extremely important).
Knowledge
| Law and Government | 4.6 | |
| Public Safety and Security | 4.5 | |
| Biology | 4.1 | |
| English Language | 4.1 | |
| Customer and Personal Service | 4.1 | |
| Psychology | 3.8 | |
| Geography | 3.6 | |
| Sociology and Anthropology | 3.4 | |
| Education and Training | 3.4 | |
| Administration and Management | 3.0 | |
| Administrative | 3.0 | |
| Computers and Electronics | 3.0 |
Abilities
| Oral Comprehension | 4.1 | |
| Oral Expression | 4.1 | |
| Inductive Reasoning | 4.1 | |
| Problem Sensitivity | 4.0 | |
| Speech Recognition | 3.9 | |
| Speech Clarity | 3.9 | |
| Deductive Reasoning | 3.8 | |
| Near Vision | 3.8 | |
| Far Vision | 3.8 | |
| Written Comprehension | 3.6 | |
| Written Expression | 3.5 | |
| Flexibility of Closure | 3.3 | |
| Information Ordering | 3.1 | |
| Category Flexibility | 3.1 | |
| Spatial Orientation | 3.1 |
Essential skills
| Active Listening | 3.9 | |
| Critical Thinking | 3.9 | |
| Speaking | 3.8 | |
| Reading Comprehension | 3.6 | |
| Monitoring | 3.4 | |
| Writing | 3.1 |
Transferable skills
| Judgment and Decision Making | 3.5 | |
| Social Perceptiveness | 3.4 | |
| Persuasion | 3.4 | |
| Complex Problem Solving | 3.4 | |
| Coordination | 3.3 | |
| Service Orientation | 3.1 | |
| Systems Analysis | 3.1 |
Skills in demand
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
Tools & technology
| Example | Category | |
|---|---|---|
| Microsoft Excel | Spreadsheet software | Hot technology |
| Microsoft Office software | Office suite software | Hot technology |
| Microsoft PowerPoint | Presentation software | Hot technology |
| Microsoft Word | Word processing software | Hot technology |
| Puppet | Configuration management software | Hot technology |
| Swift | Object or component oriented development software | Hot technology |
| Database software | Data base user interface and query software | |
| Global positioning system GPS software | Mobile location based services software | |
| Mapping software | Map creation software | |
| Web browser software | Internet browser software |
Work context
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
How to get in
- Job zone
- Zone 4 — Job Zone Four: Considerable Preparation Needed
- Education
- Most of these occupations require a four-year bachelor's degree, but some do not.
- Typical entry-level education
- Bachelor's degree · BLS, the typical path — not a requirement
- Related experience
- A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in accounting to be considered qualified.
- Preparation level
- SVP (7.0 to < 8.0) — total schooling plus on-the-job experience.
What to study: Natural Resources and Conservation . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Education of current workers
Share of people in this occupation at each level of education.
| Bachelor's Degree | 79.3% | |
| High School Diploma | 13.8% | |
| Associate's Degree (or other 2-year degree) | 4.4% | |
| Some College Courses | 1.9% | |
| Post-Secondary Certificate | 0.6% |
Interests & work styles
The interests and personal qualities O*NET associates with people who do this work.
Work styles
| Dependability | 7.0 | |
| Integrity | 6.0 | |
| Cautiousness | 5.0 | |
| Self-Control | 4.0 | |
| Stress Tolerance | 3.0 |
Interest areas
| Nature/Outdoors | 6.5 | |
| Protective Service | 6.3 | |
| Transportation/Machine Operation | 4.0 | |
| Life Science | 3.5 | |
| Law | 3.3 | |
| Physical/Manual Labor | 3.2 | |
| Public Speaking | 2.9 |
Career interests (Holland / RIASEC)
| Realistic | 6.4 | |
| Conventional | 4.2 | |
| Investigative | 3.9 | |
| Enterprising | 3.0 |
Wages & employment
U.S. · annual wages (BLS OEWS)
| 10th percentile | $35,670 |
| 25th percentile | $53,260 |
| Median (50th) | $68,180 |
| 75th percentile | $82,100 |
| 90th percentile | $94,470 |
| People employed | 6,420 |
Related occupations
Part of the Energy & Natural Resources and Public Service & Safety career clusters.
- Range Managers · 19-1031.02 Compare →
- Animal Control Workers · 33-9011.00 Compare →
- Conservation Scientists · 19-1031.00 Compare →
- Forest and Conservation Technicians · 19-4071.00 Compare →
- Forest and Conservation Workers · 45-4011.00 Compare →
- Forest Fire Inspectors and Prevention Specialists · 33-2022.00 Compare →
- Park Naturalists · 19-1031.03 Compare →
- Fishing and Hunting Workers · 45-3031.00 Compare →
- Environmental Compliance Inspectors · 13-1041.01 Compare →
- Police and Sheriff's Patrol Officers · 33-3051.00 Compare →
- Zoologists and Wildlife Biologists · 19-1023.00 Compare →
- Environmental Restoration Planners · 19-2041.02 Compare →
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
What you can do with this
Options the data surfaces for Fish and Game Wardens — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Skills that travel
Capabilities this work builds that are used across many other occupations.
Adjacent roles
Occupations O*NET rates as related — the nearby moves on the map.
Paths in
How people typically prepare for this work.
- Bachelor's degree · typical entry level
- Job zone 4 — Job Zone Four: Considerable Preparation Needed · preparation tier
- Natural Resources and Conservation · field of study
Zoom out
On the global GenAI exposure gradient this work sits around the 33rd percentile of 427 international occupations.
Write a report on thisheadline · factoids · citation
Fish and Game Wardens show 38th-percentile AI task overlap — and about 500 annual U.S. openings
- Fish and Game Wardens rank in the 38th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
- The occupation is projected to see about 500 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
- BLS projects employment to be declining (-6%) from 2024 to 2034.BLS Employment Projections 2024–34
- Median annual pay is $68,180, across about 6,420 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Fish and Game Wardens show 38th-percentile AI task overlap — and about 500 annual U.S. openings • Fish and Game Wardens rank in the 38th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 500 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be declining (-6%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $68,180, across about 6,420 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Fish and Game Wardens". https://singulariki.com/roles/role-33-3031-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom
Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Plain
Singulariki. "Fish and Game Wardens." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-33-3031-00
APA
Singulariki. (2026). Fish and Game Wardens. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-33-3031-00
BibTeX
@misc{singulariki-role-33-3031-00,
title = {Fish and Game Wardens},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-33-3031-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.