# Park Naturalists

> Plan, develop, and conduct programs to inform public of historical, natural, and scientific features of national, state, or local park.

- **SOC code:** 19-1031.03
- **Canonical URL:** https://singulariki.com/roles/role-19-1031-03
- **Also known as:** Naturalist, Park Guide, Park Naturalist, Park Ranger, Environmental Education Specialist, Environmental Educator, Interpretive Naturalist, Natural Resource Educator
- **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):
- Provide visitor services, such as explaining regulations, answering visitor requests, needs and complaints, and providing information about the park and surrounding areas.
- Assist with operations of general facilities, such as visitor centers.
- Confer with park staff to determine subjects and schedules for park programs.
- Conduct field trips to point out scientific, historic, and natural features of parks, forests, historic sites, or other attractions.
- Plan and organize public events at the park.
- Prepare and present illustrated lectures and interpretive talks about park features.
- Plan, organize and direct activities of seasonal staff members.
- Perform emergency duties to protect human life, government property, and natural features of park.
- Train staff on park programs.
- Develop environmental educational programs and curricula for schools.
- Construct historical, scientific, and nature visitor-center displays.
- Research stories regarding the area's natural history or environment.

**Emerging tasks** (O*NET):
- Train staff and volunteers on park programs.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Customer and Personal Service _(knowledge)_
- Speaking _(essential_skill)_
- Oral Expression _(ability)_
- Speech Clarity _(ability)_
- Education and Training _(knowledge)_
- Oral Comprehension _(ability)_
- Reading Comprehension _(essential_skill)_
- Active Listening _(essential_skill)_
- English Language _(knowledge)_
- Writing _(essential_skill)_
- Social Perceptiveness _(transferable_skill)_
- Written Comprehension _(ability)_

**Skills in demand:**
- Reading Comprehension _(Common Skill)_
- Active Listening _(Common Skill)_
- English Language _(Common Skill)_
- Writing _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Social Perceptiveness _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Biology _(Specialized Skill)_
- Information Ordering _(Specialized Skill)_
- Inductive Reasoning _(Common Skill)_
- Learning Strategies _(Specialized Skill)_

**Tools & technology:**
- Microsoft Office software _(hot technology, in demand)_
- Adobe Acrobat _(hot technology)_
- Facebook _(hot technology)_
- Microsoft Active Server Pages ASP _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Word _(hot technology)_
- Adobe PageMaker
- Email software
- Mapping software
- MicroFocus GroupWise

## AI exposure & outlook

- **AI task-overlap index:** 57th percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 50th percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 71st percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 52nd percentile (Moderate) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 12th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 3.4% growth (About average); 2.5k annual openings; 28.5k → 29.5k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $67,950; 25,590 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/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **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-19-1031-03_