# Lifeguards, Ski Patrol, and Other Recreational Protective Service Workers

> Monitor recreational areas, such as pools, beaches, or ski slopes, to provide assistance and protection to participants.

- **SOC code:** 33-9092.00
- **Canonical URL:** https://singulariki.com/roles/role-33-9092-00
- **Also known as:** Lifeguard, Ocean Lifeguard, Pool Attendant, Ski Patroller, Beach Attendant, Beach Lifeguard, Marine Safety Officer, Ocean Lifeguard Specialist
- **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):
- Patrol or monitor recreational areas, such as trails, slopes, or swimming areas, on foot, in vehicles, or from towers.
- Rescue distressed persons, using rescue techniques and equipment.
- Contact emergency medical personnel in case of serious injury.
- Examine injured persons and administer first aid or cardiopulmonary resuscitation, if necessary, using training and medical supplies and equipment.
- Warn recreational participants of inclement weather, unsafe areas, or illegal conduct.
- Maintain quality of pool water by testing chemical levels.
- Complete and maintain records of weather and beach conditions, emergency medical treatments performed, and other relevant incident information.
- Observe activities in assigned areas, using binoculars, to detect hazards, disturbances, or safety infractions.
- Operate underwater recovery units.
- Instruct participants in skiing, swimming, or other recreational activities and provide safety precaution information.
- Inspect recreational equipment, such as rope tows, T-bars, J-bars, or chair lifts, for safety hazards and damage or wear.
- Provide assistance with staff selection, training, and supervision.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Customer and Personal Service _(knowledge)_
- Problem Sensitivity _(ability)_
- Monitoring _(essential_skill)_
- Public Safety and Security _(knowledge)_
- Speaking _(essential_skill)_
- Oral Expression _(ability)_
- Far Vision _(ability)_
- English Language _(knowledge)_
- Social Perceptiveness _(transferable_skill)_
- Service Orientation _(transferable_skill)_
- Oral Comprehension _(ability)_
- Selective Attention _(ability)_

**Skills in demand:**
- English Language _(Common Skill)_
- Social Perceptiveness _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Learning Strategies _(Specialized Skill)_
- Deductive Reasoning _(Common Skill)_
- Active Listening _(Common Skill)_
- Microsoft Word _(Common Skill)_
- Microsoft PowerPoint _(Common Skill)_
- Microsoft Outlook _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- Information Ordering _(Specialized Skill)_
- Inductive Reasoning _(Common Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Word _(hot technology)_
- GroupMe
- Microsoft Publisher

## AI exposure & outlook

- **AI task-overlap index:** 15th percentile (Low) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 36th percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 11th percentile (Low) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 6th percentile (Low) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 56th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 5.8% growth (About average); 42.7k annual openings; 149.7k → 158.4k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $33,720; 143,590 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

---
_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-33-9092-00_