Aircraft Service Attendants
Transportation and Material Moving Occupations- O*NET-SOC code
- 53-6032.00
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.
- Data source: BLSPublished: 2026-08
Low· relative
LowFour relative bandsVery highGroup-level value
Scale, basis and source
Four relative bands (Low / Moderate / High / Very high)
831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band
- Data source: ILOPublished: 2025
0.13–0.21· 2 ISCO-08 groups
Scale, basis and source
Generative AI exposure index, 0–1 as published
Published per ISCO-08 unit group. Linked to this occupation, wholly or in part, by applying U.S. Bureau of Labor Statistics crosswalks (ISCO-08 to 2010 SOC, 2010 SOC to 2018 SOC) as published
- Data source: OpenAIPublished: 2023
0.111
0.000Range of values carried here0.844Scale, basis and source
What kind of figure this source publishes
The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.
ILO value for each linked ISCO-08 group
- ISCO-08 9331Hand and Pedal Vehicle Drivers0.21
- ISCO-08 9332Drivers of Animal-drawn Vehicles and Machinery0.13
Task-level exposure
Show 15 hidden tasks18 rated tasks · 3 tasks with β ≥ 0.5 (16.7%)
β = direct exposure (E1) + 0.5 × exposure when tools are available (E2), per the source repository's definition.
- Source unit: O*NET 27.2 tasks → O*NET 31.0 occupation code
- 7 rated tasks are not in the O*NET 31.0 task list; their scores are kept as published for O*NET 27.2.
- Source
- OpenAI "GPTs are GPTs" exposure rubric
- Release
- gh-main-0471612
- License
- MIT License, Copyright (c) 2024 OpenAI
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime.
| Task (O*NET 27.2) | βE1 + 0.5 × E2 |
|---|---|
Complete forms describing tasks completed.O*NET Task ID 23836 | 1.0 |
Radio to flight dispatchers or other personnel to discuss incoming or outgoing aircraft.O*NET Task ID 23844 | 1.0 |
Inspect aircraft components to locate cracks, breaks, leaks, or other problems.O*NET Task ID 23840 | 0.5 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Eloundou et al. (2023): see full notices on the Credits page
All O*NET 31.0 task statements (11)
All O*NET 31.0 task statements for this occupation (English, as published; task type core or supplemental). Exposure values are not listed here; they are in the table above, next to each task statement as worded in the O*NET version each source used.
| Task (O*NET 31.0) | Type |
|---|---|
| Complete forms describing tasks completed. | Core |
| Guide aircraft to designated areas using hand signals, batons, or other methods. | Core |
| Radio to flight dispatchers or other personnel to discuss incoming or outgoing aircraft. | Core |
| Apply de-icing fluid to aircraft from baskets lifted by truck-mounted cranes. | Supplemental |
| Climb ladders to reach aircraft surfaces to be cleaned. | Supplemental |
| Empty aircraft lavatory systems or refill them with sanitizer fluid. | Supplemental |
| Inspect aircraft components to locate cracks, breaks, leaks, or other problems. | Supplemental |
| Load baggage or cargo for crew or passengers. | Supplemental |
| Refill aircraft potable water tanks. | Supplemental |
| Refuel aircraft using hoses connected to fuel trucks. | Supplemental |
| Tow aircraft to gates or hangars using tugs, tractors, or other vehicles. | Supplemental |
0.79/ 3· Robot exposure index
Scale, basis and source
Each physical task is graded 0–3 by the setting in which robots that have been deployed, sold or demonstrated could do it (0 none · 1 purpose-built robot settings such as a fenced machine cell or a bottling line · 2 structured facilities such as a hospital pharmacy or a container port · 3 unstructured settings such as a private home or a construction site), and the grades are averaged by share of working time
Physical tasks among this occupation's O*NET 29.3 tasks
Anthropic estimated the grades and time shares with Claude Opus 5 using web search, as of 2026.
The robot exposure index is a different measure from the AI exposure figures on this site and cannot be added to or compared with them. It does not measure actual adoption or cost, and 0 also covers occupations with no physical tasks.
Tier of each physical task
Robot environment tiers (E0–E3)
E0 noneDetails
Rated not doable by robots that have been deployed, sold or demonstrated, even in a purpose-built setting
E1 purpose-built robot settingsDetails
Rated doable in a setting built around the machine, such as a fenced machine cell or a bottling line
E2 structured facilitiesDetails
Rated doable in a human work facility that an institution keeps to a working standard, such as a hospital pharmacy or a container port
E3 unstructured settingsDetails
Rated doable in a setting that no institution keeps to a working standard, such as a private home or a construction site
Only tasks classified as physical are listed; other tasks have no tier in the source.
| Task (O*NET 29.3) | Robot environment tier |
|---|---|
| Apply de-icing fluid to aircraft from baskets lifted by truck-mounted cranes. | E1 purpose-built robot settings |
| Change aircraft oil, coolant, or other fluids. | E1 purpose-built robot settings |
| Clean aircraft interiors by picking up waste, wiping down windows, or vacuuming. | E1 purpose-built robot settings |
| Climb ladders to reach aircraft surfaces to be cleaned. | E1 purpose-built robot settings |
| De-grease aircraft exteriors. | E1 purpose-built robot settings |
| Empty aircraft lavatory systems or refill them with sanitizer fluid. | E1 purpose-built robot settings |
| Inspect aircraft components to locate cracks, breaks, leaks, or other problems. | E1 purpose-built robot settings |
| Load baggage or cargo for crew or passengers. | E0 none |
| Mix cleaning compounds or solutions. | E1 purpose-built robot settings |
| Polish aircraft exteriors. | E1 purpose-built robot settings |
| Refill aircraft potable water tanks. | E1 purpose-built robot settings |
| Refuel aircraft using hoses connected to fuel trucks. | E1 purpose-built robot settings |
| Remove exhaust stains from aircraft using cleaning fluids. | E1 purpose-built robot settings |
| Tow aircraft to gates or hangars using tugs, tractors, or other vehicles. | E1 purpose-built robot settings |
| Wash the aircraft exteriors using lifts, cranes, detergent, or other equipment. | E1 purpose-built robot settings |
Occupation information
Employment outlook (BLS)
- Employment, 2025
- 31K
- Projected employment, 2035
- 33K
- Change (2025–35)
- +5.6%
- Median annual wage, 2025
- $40,450
- Typical education needed for entry
- High school diploma or equivalent
Korea classification links (KSCO)
Links from the current release of the Korea Occupation Direct Crosswalk v1.1, made by AI Changing Work. Relation values are read from the O*NET-SOC occupation side.
| KSCO code | KSCO title | Relation | Status |
|---|---|---|---|
| 95310 | 주유원 | Related, not a match | confirmed |
Relation and status definitions(kr-direct v1.1)
ILO occupational description
AI Changing Work links the ISCO-08 unit groups below to this occupation by applying the U.S. Bureau of Labor Statistics crosswalks (2018 SOC to 2010 SOC, 2010 SOC to ISCO-08) as published, without case-by-case selection; each link may be whole or partial.
- ISCO-08 9331Hand and Pedal Vehicle Drivers
- ISCO-08 9332Drivers of Animal-drawn Vehicles and Machinery
Sources: ILO ISCO-08 — details: Credits
ESCO occupational vocabulary
Each entry below is matched to this occupation in the published ESCO-O*NET Crosswalk (version 1, 2022). The match types are that crosswalk's; the wording is AI Changing Work's.
- aircraft fuel system operatorESCO 8332.1This occupation is broader
Aircraft fuel system operators maintain fuel distribution systems and ensure the refuelling of planes.
Source: European Commission, DG EMPL — ESCO API 2026-08-08 (bridge v1.2.1)
License: CC BY 4.0 (EU Reuse Notice)
ESCO reuse terms and the modification notice are in Credits.
France classification links (ROME)
AI Changing Work's links between this occupation and ROME 4.0 job profiles, judged with AI models. Relations are read from this occupation's side. Links marked “provisional” were adopted on the judgments of two judges from the same model family (Claude) alone, or by an operator rule applied to their judgments, so they rest on weaker evidence than confirmed links.
| ROME code | ROME title (French) | Relation |
|---|---|---|
| N2203 | Agent / Agente d'opérations sur piste | Related, not a matchprovisional |
| N4114 | Conducteur livreur avitailleur / Conductrice livreuse avitailleuse en carburant | Related, not a matchprovisional |
Source: France Travail — Répertoire Opérationnel des Métiers et des Emplois (ROME 4.0), version 61, last updated 15 June 2026 (https://www.data.gouv.fr/datasets/repertoire-operationnel-des-metiers-et-des-emplois-rome). Licence Ouverte 2.0.
ROME codes and titles are reproduced unchanged; the links to O*NET-SOC occupations are AI Changing Work's own judgment and are not a France Travail correspondence.
(AI Changing Work link release: fr-direct v1)
Spain classification links (CNO-11)
AI Changing Work's links between this occupation and CNO-11 occupations, judged with AI models. Relations are read from this occupation's side.
| CNO-11 code | CNO-11 title (Spanish) | Relation |
|---|---|---|
| 9811 | Peones del transporte de mercancías y descargadores | Related, not a match |
Source: Instituto Nacional de Estadística (INE), National Classification of Occupations 2011 (CNO-11, Royal Decree 1591/2010) — www.ine.es · Licensed CC BY 4.0. CNO-11 codes and Spanish titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not an INE correspondence.
(AI Changing Work link release: es-direct v1)
Germany classification links (KldB)
AI Changing Work's links between this occupation and KldB occupations, judged with AI models. Relations are read from this occupation's side.
| KldB code | KldB title (German) | Relation |
|---|---|---|
| 51122 | Berufe im technischen Luftverkehrsbetrieb - fachlich ausgerichtete Tätigkeiten | This occupation is narrower |
Source: © Statistik der Bundesagentur für Arbeit — Klassifikation der Berufe 2010 – überarbeitete Fassung 2020, https://statistik.arbeitsagentur.de. KldB codes and titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own mapping (eigene Zuordnung) and are not a Bundesagentur für Arbeit correspondence.
(AI Changing Work link release: de-direct v1)
Japan classification links (JSCO)
AI Changing Work's links between this occupation and JSCO occupations, judged with AI models. Relations are read from this occupation's side.
| JSCO code | JSCO title (Japanese) | Relation |
|---|---|---|
| 639 | 他に分類されない輸送従事者 | This occupation is narrowerprovisional |
| 719 | その他の清掃従事者 | Related, not a matchprovisional |
Source: Ministry of Internal Affairs and Communications (MIC), Japan Standard Occupational Classification (Dec. 2009, MIC Notification No. 555). JSCO codes and Japanese titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not a MIC correspondence.
(AI Changing Work link release: jp-direct v1)
Sources, licenses and AI Changing Work's modification and translation notices for this page: Credits & sources