# Aircraft Service Attendants

> Service aircraft with fuel. May de-ice aircraft, refill water and cooling agents, empty sewage tanks, service air and oxygen systems, or clean and polish exterior.

- **SOC code:** 53-6032.00
- **Canonical URL:** https://singulariki.com/roles/role-53-6032-00
- **Also known as:** Aircraft Cleaner, Aircraft Deicer, Aircraft Detailer, Aircraft Fueler, Aircraft Refueler, Aircraft Service Attendant, Aircraft Technical Cleaner, Airfield Maintenance Equipment Operator
- **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):
- Apply de-icing fluid to aircraft from baskets lifted by truck-mounted cranes.
- Change aircraft oil, coolant, or other fluids.
- Clean aircraft interiors by picking up waste, wiping down windows, or vacuuming.
- Climb ladders to reach aircraft surfaces to be cleaned.
- Complete forms describing tasks completed.
- De-grease aircraft exteriors.
- Empty aircraft lavatory systems or refill them with sanitizer fluid.
- Guide aircraft to designated areas using hand signals, batons, or other methods.
- Inspect aircraft components to locate cracks, breaks, leaks, or other problems.
- Load baggage or cargo for crew or passengers.
- Mix cleaning compounds or solutions.
- Polish aircraft exteriors.

## Skills, tools, capabilities

**Skills in demand:**
- Microsoft Word _(Common Skill)_
- Microsoft Windows _(Common Skill)_
- Microsoft Excel _(Common Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft Windows _(hot technology)_
- Microsoft Word _(hot technology)_
- Access Software AIRPAX
- Computerized aircraft log manager CALM
- Engine analysis software
- Maintenance information databases
- Maintenance planning software
- Maintenance record software
- Supply system software
- Technical manual database software

## AI exposure & outlook

- **AI task-overlap index:** 20th percentile (Low) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **LLM task exposure, γ (OpenAI / Eloundou):** 21st percentile (Low) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 22nd percentile (Low) — source: microsoft_applicability.
- **Projected employment (BLS 2024–34):** 5.1% growth (About average); 4.3k annual openings; 28k → 29.5k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $41,540; 27,310 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/
- **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

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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-53-6032-00_