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 →Range Managers
Occupation · SOC 19-1031.02
Research or study range land management practices to provide sustained production of forage, livestock, and wildlife.
Also called: Natural Resource Specialist · Range Technician · Rangeland Management Specialist · Resource Manager · Conservationist · Land Management Supervisor · Natural Resource Manager · Range Management Specialist · Rangeland Technician · Refuge Manager · Forestry and Wildlife Manager · Natural Resource Management Specialist
Job family: Life, Physical, and Social Science Occupations
Take this to your AI
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-19-1031-02/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.
- About average employment outlook (+3.4% by 2034)
- 2,500 openings/yr
- Moderate AI exposure
- Median pay $67,950/yr
- Work is mostly on-site (not teleworkable)
- A reversal from 2013 — rated low automation risk then (12th), high AI task-overlap now (53rd)
53rd-percentile task overlap — yet about 2,500 openings a year (+3.4% 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 | 50th | 0.1 | |
| LLM task exposure, γ (OpenAI / Eloundou) Moderate | 59th | 0.7 | |
| AI assistant applicability (Microsoft) Moderate | 52nd | 0.2 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), with simple added tooling (β 0.4), and including AI-powered software (γ 0.7). 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 0.0 · 12th percentile among occupations · Low
Job outlook
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +3.4% by 2034 |
| Projected annual openings | 2,500 |
| Employment 2024 → 2034 | 28,500 → 29,500 |
“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.
Range Managers sits at the 74th percentile of 427
occupations on the global GenAI task-exposure gradient
— exposure rose from 2023 to 2025. Each dot is one occupation; the
ringed one is this work. Exposure is task overlap, not automation or jobs lost.
38% mean task exposure (2025)
74th percentile of 427 placed occupations
+3 pts shift 2023 → 2025
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Environmental Protection Professionals · 2133 | 38% | Minimal |
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 17 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
- Regulate grazing, such as by issuing permits and checking for compliance with standards, and help ranchers plan and organize grazing systems to manage, improve, protect, and maximize the use of rangelands. Core · importance 4.2
- Manage forage resources through fire, herbicide use, or revegetation to maintain a sustainable yield from the land. Core · importance 4.1
- Coordinate with federal land managers and other agencies and organizations to manage and protect rangelands. Core · importance 4.0
- Maintain soil stability and vegetation for non-grazing uses, such as wildlife habitats and outdoor recreation. Core · importance 3.9
- Measure and assess vegetation resources for biological assessment companies, environmental impact statements, and rangeland monitoring programs. Core · importance 3.9
- Study grazing patterns to determine number and kind of livestock that can be most profitably grazed and to determine the best grazing seasons. Core · importance 3.8
- Offer advice to rangeland users on water management, forage production methods, and control of brush. Core · importance 3.8
- Plan and direct construction and maintenance of range improvements, such as fencing, corrals, stock-watering reservoirs, and soil-erosion control structures. Core · importance 3.7
- Mediate agreements among rangeland users and preservationists as to appropriate land use and management. Core · importance 3.7
- Study rangeland management practices and research range problems to provide sustained production of forage, livestock, and wildlife. Core · importance 3.7
- Tailor conservation plans to landowners' goals, such as livestock support, wildlife, or recreation. Core · importance 3.6
- Develop technical standards and specifications used to manage, protect, and improve the natural resources of range lands and related grazing lands. Core · importance 3.6
- Plan and implement revegetation of disturbed sites. Core · importance 3.4
- Develop methods for protecting range from fire and rodent damage and for controlling poisonous plants. Supplemental · importance 3.4
- Study forage plants and their growth requirements to determine varieties best suited to particular range. Core · importance 3.1
- Develop new and improved instruments and techniques for activities, such as range reseeding. Supplemental · importance 2.9
- Manage private livestock operations. Supplemental
Emerging tasks
Newer responsibilities O*NET has flagged as growing for this occupation.
- Apply herbicide to eliminate harmful plants.
Work activities
- Determine operational compliance with regulations or standards.
- Manage agricultural or forestry operations.
- Issue permits or other legal documents.
- Confer with others to conduct or arrange operational activities.
- Communicate with government agencies.
- Measure environmental characteristics.
- Develop plans to manage natural or renewable resources.
- Mediate disputes.
- Research livestock management methods.
- Advise others about land management or conservation.
- Plan natural resources conservation or restoration programs.
- Develop environmental sustainability plans or projects.
- Research crop management methods.
- Develop agricultural methods.
Knowledge, skills & abilities
O*NET importance rating, from 1 (not important) to 5 (extremely important).
Essential skills
| Active Listening | 4.0 | |
| Reading Comprehension | 3.9 | |
| Speaking | 3.8 | |
| Critical Thinking | 3.8 | |
| Monitoring | 3.6 | |
| Writing | 3.3 | |
| Active Learning | 3.3 |
Abilities
| Written Comprehension | 4.0 | |
| Oral Expression | 4.0 | |
| Oral Comprehension | 3.9 | |
| Written Expression | 3.9 | |
| Problem Sensitivity | 3.9 | |
| Deductive Reasoning | 3.8 | |
| Inductive Reasoning | 3.8 | |
| Near Vision | 3.5 | |
| Speech Clarity | 3.5 | |
| Information Ordering | 3.4 | |
| Far Vision | 3.4 | |
| Speech Recognition | 3.4 | |
| Fluency of Ideas | 3.3 | |
| Originality | 3.3 | |
| Category Flexibility | 3.3 |
Knowledge
| Biology | 4.0 | |
| English Language | 3.8 | |
| Geography | 3.6 | |
| Law and Government | 3.5 | |
| Administration and Management | 3.5 | |
| Administrative | 3.5 | |
| Customer and Personal Service | 3.4 | |
| Public Safety and Security | 3.3 | |
| Computers and Electronics | 3.1 | |
| Education and Training | 3.1 | |
| Mathematics | 3.1 |
Transferable skills
| Complex Problem Solving | 3.6 | |
| Judgment and Decision Making | 3.6 | |
| Coordination | 3.5 | |
| Negotiation | 3.3 | |
| Systems Analysis | 3.3 | |
| Social Perceptiveness | 3.1 | |
| Systems Evaluation | 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.
Showing the top 40 of 41.
Tools & technology
Showing the top 40 of 52.
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: Agriculture, Agriculture Operations, and Related Sciences , Biological and Biomedical Sciences , Multi/Interdisciplinary Studies , 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 | 80.3% | |
| Associate's Degree (or other 2-year degree) | 9.7% | |
| Master's Degree | 9.2% | |
| Post-Baccalaureate Certificate | 0.8% |
Interests & work styles
The interests and personal qualities O*NET associates with people who do this work.
Interest areas
| Agriculture | 6.7 | |
| Nature/Outdoors | 6.4 | |
| Life Science | 4.5 | |
| Management/Administration | 3.5 | |
| Public Speaking | 2.6 | |
| Physical/Manual Labor | 2.5 | |
| Mathematics/Statistics | 2.4 | |
| Politics | 2.3 | |
| Physical Science | 2.2 |
Career interests (Holland / RIASEC)
| Realistic | 5.8 | |
| Investigative | 5.0 | |
| Enterprising | 4.4 | |
| Conventional | 3.7 | |
| Social | 2.4 |
Work styles
| Dependability | 2.3 | |
| Integrity | 2.1 |
Wages & employment
U.S. · annual wages (BLS OEWS)
| 10th percentile | $45,260 |
| 25th percentile | $53,190 |
| Median (50th) | $67,950 |
| 75th percentile | $87,980 |
| 90th percentile | $107,720 |
| People employed | 25,590 |
Wages and employment are reported by BLS for the broader occupation group this specialty belongs to (SOC 19-1031), not for the specialty alone.
Industries that employ this occupation
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Other Services (except Public Administration) · Sector | 5,250 | $62,940 |
| Professional, Scientific, and Technical Services · Sector | 1,170 | $72,010 |
| Educational Services · Sector | 830 | $64,110 |
| Arts, Entertainment, and Recreation · Sector | 330 | $49,980 |
| Engineering Services · National industry | 270 | $76,020 |
| Testing Laboratories and Services · National industry | 90 | $66,330 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 50 | $76,990 |
| Real Estate and Rental and Leasing · Sector | — | $77,590 |
Where this work is most concentrated
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Other Services (except Public Administration) · Sector | 7.15× | 5,250 |
| Engineering Services · National industry | 1.41× | 270 |
| Arts, Entertainment, and Recreation · Sector | 0.75× | 330 |
| Professional, Scientific, and Technical Services · Sector | 0.65× | 1,170 |
| Educational Services · Sector | 0.37× | 830 |
Related occupations
Part of the Energy & Natural Resources and Public Service & Safety career clusters.
- Conservation Scientists · 19-1031.00 Compare →
- Environmental Restoration Planners · 19-2041.02 Compare →
- Foresters · 19-1032.00 Compare →
- Soil and Plant Scientists · 19-1013.00 Compare →
- Industrial Ecologists · 19-2041.03 Compare →
- Water Resource Specialists · 11-9121.02 Compare →
- Environmental Scientists and Specialists, Including Health · 19-2041.00 Compare →
- Zoologists and Wildlife Biologists · 19-1023.00 Compare →
- First-Line Supervisors of Farming, Fishing, and Forestry Workers · 45-1011.00 Compare →
- Park Naturalists · 19-1031.03 Compare →
- Forest and Conservation Technicians · 19-4071.00 Compare →
- Forest and Conservation Workers · 45-4011.00 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 Range Managers — 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
- Agriculture, Agriculture Operations, and Related Sciences · field of study
- Biological and Biomedical Sciences · field of study
Zoom out
On the global GenAI exposure gradient this work sits around the 74th percentile of 427 international occupations.
Write a report on thisheadline · factoids · citation
Range Managers show 53rd-percentile AI task overlap — and about 2,500 annual U.S. openings
- Range Managers rank in the 53rd 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 2,500 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 about average (+3.4%) from 2024 to 2034.BLS Employment Projections 2024–34
- Median annual pay is $67,950, across about 25,590 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Range Managers show 53rd-percentile AI task overlap — and about 2,500 annual U.S. openings • Range Managers rank in the 53rd 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 2,500 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 about average (+3.4%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $67,950, across about 25,590 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Range Managers". https://singulariki.com/roles/role-19-1031-02 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
- 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. "Range Managers." 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; 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-19-1031-02
APA
Singulariki. (2026). Range Managers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-19-1031-02
BibTeX
@misc{singulariki-role-19-1031-02,
title = {Range Managers},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; 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-19-1031-02}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.