Automotive and Watercraft Service Attendants
Transportation and Material Moving Occupations- O*NET-SOC code
- 53-6031.00
Service automobiles, buses, trucks, boats, and other automotive or marine vehicles with fuel, lubricants, and accessories. Collect payment for services and supplies. May lubricate vehicle, change motor oil, refill antifreeze, or replace lights or other accessories, such as windshield wiper blades or fan belts. May repair or replace tires.
- 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: AnthropicPublished: 2026-03
0.000
0.000Range of values carried here0.745Scale, basis and source
Observed exposure index, 0–1 as published
Mapped onto O*NET tasks
Published per SOC 2018 occupation; every O*NET occupation with the same SOC 2018 code carries this value
- Data source: ILOPublished: 2025
0.24
0.09Range of values carried here0.70Group-level value
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
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.
Task-level exposure
Show 15 hidden tasks15 rated tasks · 3 tasks with β ≥ 0.5 (20.0%)
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
- 1 rated task is not in the O*NET 31.0 task list; its score is 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
| Task (O*NET 20.1) | Claude.aiRaw / share % |
|---|---|
Test and charge batteries.53-6031.00 | 0.0098100.0 |
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. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task (O*NET 27.2) | βE1 + 0.5 × E2 |
|---|---|
Prepare daily reports of fuel, oil, and accessory sales.O*NET Task ID 10714 | 1.0 |
Provide customers with information about local roads or highways.O*NET Task ID 10718 | 1.0 |
Maintain customer records and follow up periodically with telephone, mail, or personal reminders of services due.O*NET Task ID 10723 | 1.0 |
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®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page
All O*NET 31.0 task statements (14)
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 |
|---|---|
| Collect cash payments from customers, and make change or charge purchases to customers' credit cards, providing customers with receipts. | Core |
| Clean parking areas, offices, restrooms, or equipment, and remove trash. | Core |
| Perform minor repairs, such as adjusting brakes, replacing spark plugs, or changing engine oil or filters. | Core |
| Order stock, and price and shelve incoming goods. | Core |
| Rotate, test, and repair or replace tires. | Core |
| Grease and lubricate vehicles or specified units, such as springs, universal joints, or steering knuckles, using grease guns or spray lubricants. | Core |
| Sell and install accessories, such as batteries, windshield wiper blades, fan belts, bulbs, or headlamps. | Core |
| Check tire pressure and levels of fuel, motor oil, transmission, radiator, battery, or other fluids, adding air or fluids as required. | Core |
| Activate fuel pumps and fill fuel tanks of vehicles with gasoline or diesel fuel to specified levels. | Supplemental |
| Prepare daily reports of fuel, oil, and accessory sales. | Supplemental |
| Provide customers with information about local roads or highways. | Supplemental |
| Maintain customer records and follow up periodically with telephone, mail, or personal reminders of services due. | Supplemental |
| Test and charge batteries. | Supplemental |
| Clean windshields. | Supplemental |
1.57/ 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 |
|---|---|
| Collect cash payments from customers, and make change or charge purchases to customers' credit cards, providing customers with receipts. | E2 structured facilities |
| Clean parking areas, offices, restrooms, or equipment, and remove trash. | E2 structured facilities |
| Perform minor repairs, such as adjusting brakes, replacing spark plugs, or changing engine oil or filters. | E0 none |
| Order stock, and price and shelve incoming goods. | E1 purpose-built robot settings |
| Rotate, test, and repair or replace tires. | E1 purpose-built robot settings |
| Grease and lubricate vehicles or specified units, such as springs, universal joints, or steering knuckles, using grease guns or spray lubricants. | E1 purpose-built robot settings |
| Sell and install accessories, such as batteries, windshield wiper blades, fan belts, bulbs, or headlamps. | E0 none |
| Check tire pressure and levels of fuel, motor oil, transmission, radiator, battery, or other fluids, adding air or fluids as required. | E1 purpose-built robot settings |
| Activate fuel pumps and fill fuel tanks of vehicles with gasoline or diesel fuel to specified levels. | E2 structured facilities |
| Test and charge batteries. | E1 purpose-built robot settings |
| Clean windshields. | E1 purpose-built robot settings |
Occupation information
Employment outlook (BLS)
- Employment, 2025
- 102K
- Projected employment, 2035
- 106K
- Change (2025–35)
- +3.8%
- Median annual wage, 2025
- $35,670
- Typical education needed for entry
- No formal educational credential
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 | Same scope | 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 5245Service Station Attendants
The definition, tasks and examples below are the ILO's description of that unit group, not of this occupation.
Service station attendants sell fuel, lubricants and other automotive products and provide services such as fuelling, cleaning, lubricating and performing minor repairs to motor vehicles.
Tasks
- (a) filling fuel tanks and containers to level specified by customer;
- (b) checking and replenishing air pressure in vehicle tyres, and oil and other vehicle fluid levels;
- (c) washing vehicle windscreens and windows;
- (d) performing minor repair work to vehicles such as replacing tyres, light bulbs and windscreen wiper blades;
- (e) maintaining and operating automatic car wash facilities;
- (f) collecting payments from customers for purchases;
- (g) cleaning petrol pumps and surrounding driveway, shop and facilities;
- (h) undertaking stock control and preparing reports on fuel, oil, accessories and other items sold.
Example occupations
Marina attendant · Service station attendant
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.
- greaserESCO 7233.6This occupation is broader
Greasers make sure industrial machines are properly lubricated to maintain operations. They use grease guns to oil machines. Greasers also perform basic maintenance and repair duties.
- roadside vehicle technicianESCO 7231.6This occupation is broader
Roadside vehicle technicians perform onsite repairs, tests and maintenance to roadside vehicles. They locate and travel to customers' vehicles to provide services such as tyre replacements and engine repairs.
- vehicle maintenance attendantESCO 7231.8This occupation is broader
Vehicle maintenance attendants execute basic tasks such as changing oil, changing filters, changing spark plugs at a vehicle maintenance station.
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 |
|---|---|---|
| D1511 | Opérateur / Opératrice de station service | Overlapping, not the sameprovisional |
| N3207 | Agent / Agente de port de plaisance | Related, not a match |
| D1303 | Responsable de station-service | Related, not a matchprovisional |
| I1604 | Mécanicien / Mécanicienne automobile | Related, not a matchprovisional |
| I1611 | Préparateur / Préparatrice de véhicules automobiles | 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 |
|---|---|---|
| 5430 | Expendedores de gasolineras | Same scopeprovisional |
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 |
|---|---|---|
| 62282 | Berufe im Verkauf (sonstige spezifische Tätigkeitsangabe) - fachlich ausgerichtete Tätigkeiten | This occupation is narrower |
| 62101 | Berufe im Verkauf (ohne Produktspezialisierung) - Helfer-/Anlerntätigkeiten | Related, not a match |
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 |
|---|---|---|
| 323 | 販売店員 | This occupation is narrower |
| 553 | 自動車整備・修理従事者 | Related, not a match |
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