Skip to content
Singulariki

Lifeguards, Ski Patrol, and Other Recreational Protective Service Workers

Occupation · SOC 33-9092.00

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

Also called: Lifeguard · Ocean Lifeguard · Pool Attendant · Ski Patroller · Beach Attendant · Beach Lifeguard · Marine Safety Officer · Ocean Lifeguard Specialist · Pool Lifeguard · Ski Patrol Paramedic · Aquatics Coordinator · Aquatics Lifeguard

Job family: Protective Service Occupations

Take this to your AI
Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-33-9092-00/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.

15th-percentile task overlap — yet about 42,700 openings a year (+5.8% 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) Low 11th 0.1
AI assistant applicability (Microsoft) Low 6th 0.0

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.1), and including AI-powered software (γ 0.1). 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 0.7 · 56th percentile among occupations · Moderate

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.

Maintain quality of pool water by testing chemical levels. 0.2%

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 · +5.8% by 2034
Projected annual openings 42,700
Employment 2024 → 2034 149,700 → 158,400

“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.

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 15 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Knowledge

Customer and Personal Service 4.0
Public Safety and Security 3.6
English Language 3.5
Education and Training 3.1
Medicine and Dentistry 3.0
Psychology 3.0

Abilities

Problem Sensitivity 4.0
Oral Expression 3.5
Far Vision 3.5
Oral Comprehension 3.3
Selective Attention 3.3
Speech Clarity 3.3
Deductive Reasoning 3.1
Flexibility of Closure 3.1
Speech Recognition 3.1
Inductive Reasoning 3.0
Information Ordering 3.0
Speed of Closure 3.0
Perceptual Speed 3.0
Time Sharing 3.0
Trunk Strength 3.0
Stamina 3.0
Near Vision 3.0
Static Strength 2.9
Gross Body Coordination 2.9
Written Comprehension 2.8
Multilimb Coordination 2.8

Essential skills

Monitoring 3.8
Speaking 3.5
Active Listening 3.1
Learning Strategies 3.1
Critical Thinking 3.0
Reading Comprehension 2.9
Active Learning 2.8

Transferable skills

Social Perceptiveness 3.4
Service Orientation 3.3
Coordination 3.0
Complex Problem Solving 3.0
Judgment and Decision Making 3.0
Instructing 2.8

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 Outlook Electronic mail software Hot technology
Microsoft PowerPoint Presentation software Hot technology
Microsoft Word Word processing software Hot technology
GroupMe Instant messaging software
Microsoft Publisher Desktop publishing 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.

Work With or Contribute to a Work Group or Team 4.6
Face-to-Face Discussions with Individuals and Within Teams 4.5
Contact With Others 4.5
Health and Safety of Other Workers 4.2
E-Mail 4.2
Frequency of Decision Making 4.1
Impact of Decisions on Co-workers or Company Results 4.1
Consequence of Error 4.1
Physical Proximity 4.0
Deal With External Customers or the Public in General 3.9
Indoors, Environmentally Controlled 3.9
Freedom to Make Decisions 3.8
Outdoors, Exposed to All Weather Conditions 3.7
Determine Tasks, Priorities and Goals 3.7
Importance of Being Exact or Accurate 3.6
Telephone Conversations 3.5
Exposed to Very Hot or Cold Temperatures 3.5
Exposed to Disease or Infections 3.5
Dealing With Unpleasant, Angry, or Discourteous People 3.4
Indoors, Not Environmentally Controlled 3.4
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 3.4
Work Outcomes and Results of Other Workers 3.4
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 3.3
Coordinate or Lead Others in Accomplishing Work Activities 3.2
Spend Time Sitting 3.2
Exposed to Contaminants 3.1
Outdoors, Under Cover 3.1
Spend Time Standing 3.1
Conflict Situations 3.0
Exposed to Extremely Bright or Inadequate Lighting Conditions 3.0
Time Pressure 3.0
Spend Time Walking or Running 3.0
Exposed to Minor Burns, Cuts, Bites, or Stings 2.9
Importance of Repeating Same Tasks 2.8
Exposed to Hazardous Conditions 2.8
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 2.6
Spend Time Making Repetitive Motions 2.6
Exposed to Cramped Work Space, Awkward Positions 2.5
Level of Competition 2.4
Public Speaking 2.4

How to get in

Job zone
Zone 2 — Job Zone 1-2: Very Little to Some Preparation Needed
Education
Usually requires a high school diploma or GED, though some occupations may not.
Typical entry-level education
No formal educational credential · BLS, the typical path — not a requirement
Related experience
Some occupations may need little or no previous experience; others require several months to a year of experience. For example, landscaping and groundskeeping workers might require very little training or previous experience, while agricultural equipment operators can benefit from on-the job training.
Preparation level
SVP (Below 6.0) — 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.

Less than a High School Diploma 39.2%
High School Diploma 21.1%
Post-Secondary Certificate 17.3%
Associate's Degree (or other 2-year degree) 16.1%
Some College Courses 5.0%
Bachelor's Degree 1.2%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Career interests (Holland / RIASEC)

Realistic 6.3
Social 4.2
Conventional 3.4
Enterprising 2.9

Work styles

Dependability 6.0
Integrity 5.0
Cautiousness 4.0
Cooperation 3.0
Self-Control 2.6

Interest areas

Protective Service 5.3
Athletics 4.6
Physical/Manual Labor 4.5
Health Care Service 3.7
Nature/Outdoors 3.5
Teaching/Education 2.9
Personal Service 2.9

Wages & employment

U.S. · annual wages (BLS OEWS)

$25k10th$29k25th$34kMedian$38k75th$45k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
150k2024158k2034 (proj.)+5.8% · About average
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $24,860
25th percentile $28,840
Median (50th) $33,720
75th percentile $37,750
90th percentile $44,600
People employed 143,590

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
Arts, Entertainment, and Recreation · Sector 48,790 $31,840
Fitness and Recreational Sports Centers · National industry 29,880 $31,200
Other Services (except Public Administration) · Sector 19,290 $31,060
Accommodation and Food Services · Sector 7,140 $36,330
Educational Services · Sector 6,750 $32,650
Health Care and Social Assistance · Sector 2,240 $32,740
Real Estate and Rental and Leasing · Sector 1,540 $36,170
Casino Hotels · National industry 840 $34,480
Temporary Help Services · National industry 500 $33,990
Management of Companies and Enterprises · Sector $26,680
Administrative and Support and Waste Management and Remediation Services · Sector $31,770
Offices of Physical, Occupational and Speech Therapists, and Audiologists · National industry $35,680

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
Fitness and Recreational Sports Centers · National industry 50.9× 29,880
Arts, Entertainment, and Recreation · Sector 19.83× 48,790
Other Services (except Public Administration) · Sector 4.68× 19,290
Casino Hotels · National industry 2.68× 840
Real Estate and Rental and Leasing · Sector 0.7× 1,540
Accommodation and Food Services · Sector 0.54× 7,140
Educational Services · Sector 0.53× 6,750
Temporary Help Services · National industry 0.2× 500

Part of the Public Service & Safety career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Lifeguards, Ski Patrol, and Other Recreational Protective Service Workers sits at the 15th percentile of AI task-overlap and the 2nd percentile of median pay, placed here against 12 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Lifeguards, Ski Patrol, and Other Recreational Protective Service Workers Firefighters Emergency Medical Technicians First-Line Supervisors of Firefighting and Prevention Workers Forest Fire Inspectors and Prevention Specialists Security Guards Occupational Health and Safety Technicians Recreation Workers First-Line Supervisors of Entertainment and Recreation Workers, Except Gambling Services AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

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 Lifeguards, Ski Patrol, and Other Recreational Protective Service Workers — 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.

Paths in

How people typically prepare for this work.

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

Lifeguards, Ski Patrol, and Other Recreational Protective Service Workers show 15th-percentile AI task overlap — and about 42,700 annual U.S. openings

  • Lifeguards, Ski Patrol, and Other Recreational Protective Service Workers rank in the 15th percentile (Low 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 42,700 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 (+5.8%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $33,720, across about 143,590 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Lifeguards, Ski Patrol, and Other Recreational Protective Service Workers show 15th-percentile AI task overlap — and about 42,700 annual U.S. openings

• Lifeguards, Ski Patrol, and Other Recreational Protective Service Workers rank in the 15th percentile (Low 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 42,700 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 (+5.8%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $33,720, across about 143,590 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Lifeguards, Ski Patrol, and Other Recreational Protective Service Workers". https://singulariki.com/roles/role-33-9092-00
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.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Lifeguards, Ski Patrol, and Other Recreational Protective Service Workers." 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-33-9092-00

APA

Singulariki. (2026). Lifeguards, Ski Patrol, and Other Recreational Protective Service Workers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-33-9092-00

BibTeX
@misc{singulariki-role-33-9092-00,
  title  = {Lifeguards, Ski Patrol, and Other Recreational Protective Service Workers},
  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-33-9092-00}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.

Embed this chart

Paste this into any page. It links back here for attribution.