# Amusement and Recreation Attendants

> Perform a variety of attending duties at amusement or recreation facility. May schedule use of recreation facilities, maintain and provide equipment to participants of sporting events or recreational pursuits, or operate amusement concessions and rides.

- **SOC code:** 39-3091.00
- **Canonical URL:** https://singulariki.com/roles/role-39-3091-00
- **Also known as:** Golf Course Ranger, Recreation Attendant, Ride Operator, Ski Lift Operator, Activities Attendant, Coaster Attendant, Golf Course Starter, Recreation Aide
- **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):
- Sell tickets and collect fees from customers.
- Provide information about facilities, entertainment options, and rules and regulations.
- Keep informed of shut-down and emergency evacuation procedures.
- Direct patrons to rides, seats, or attractions.
- Monitor activities to ensure adherence to rules and safety procedures, or arrange for the removal of unruly patrons.
- Record details of attendance, sales, receipts, reservations, or repair activities.
- Provide assistance to patrons entering or exiting amusement rides, boats, or ski lifts, or mounting or dismounting animals.
- Clean sporting equipment, vehicles, rides, booths, facilities, or grounds.
- Inspect equipment to detect wear and damage and perform minor repairs, adjustments, or maintenance tasks, such as oiling parts.
- Verify, collect, or punch tickets before admitting patrons to venues, such as amusement parks and rides.
- Fasten safety devices for patrons, or provide them with directions for fastening devices.
- Maintain inventories of equipment, storing and retrieving items and assembling and disassembling equipment as necessary.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Customer and Personal Service _(knowledge)_
- Speech Clarity _(ability)_
- Oral Comprehension _(ability)_
- Oral Expression _(ability)_
- English Language _(knowledge)_
- Problem Sensitivity _(ability)_
- Speech Recognition _(ability)_
- Speaking _(essential_skill)_
- Public Safety and Security _(knowledge)_
- Service Orientation _(transferable_skill)_
- Active Listening _(essential_skill)_
- Social Perceptiveness _(transferable_skill)_

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

**Tools & technology:**
- Facebook _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft Windows _(hot technology)_
- Microsoft Word _(hot technology)_
- Adobe PageMaker
- Database software
- Microsoft Internet Explorer

## AI exposure & outlook

- **AI task-overlap index:** 48th percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 34th percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 27th percentile (Low) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 86th percentile (High) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 59th 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); 102.4k annual openings; 392.3k → 405.5k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $30,490; 371,590 employed.

## How people actually use AI here

Anthropic Economic Index — measured AI conversations mapped to this occupation's tasks:

- **Automation vs augmentation:** 40% automation, 53% augmentation (usage-weighted).
- **Autonomy median:** 3.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** directive.

**Tasks most handed to AI here:**
- Provide information about facilities, entertainment options, and rules and regulations. _(1.3% of measured AI use; directive)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me provide information about facilities, entertainment options, and rules and regulations.

## 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-39-3091-00_