Parking Attendants
Transportation and Material Moving Occupations- O*NET-SOC code
- 53-6021.00
Park vehicles or issue tickets for customers in a parking lot or garage. May park or tend vehicles in environments such as a car dealership or rental car facility. May collect fee.
- Data source: BLSPublished: 2026-08
Moderate· 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
0.29
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 16 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
- 3 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
Tasks of O*NET-SOC 2010 occupation 53-6021.00 Parking Lot Attendants, linked to this occupation by the O*NET-SOC 2010 to 2019 crosswalk
| Task (O*NET 20.1) | Claude.aiRaw / share % |
|---|---|
Explain and calculate parking charges, collect fees from customers, and respond to customer complaints.53-6021.00 | 0.002861.4 |
Provide customer assistance and information, such as giving directions or handling wheelchairs.53-6021.00 | 0.001738.6 |
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 |
|---|---|
Perform personnel activities, such as supervising or scheduling employees.O*NET Task ID 20840 | 1.0 |
Inspect vehicles to detect any damage.O*NET Task ID 3196 | 0.5 |
Explain and calculate parking charges, collect fees from customers, and respond to customer complaints.O*NET Task ID 20837 | 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®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page
All O*NET 31.0 task statements (15)
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 |
|---|---|
| Take numbered tags from customers, locate vehicles, and deliver vehicles, or provide customers with instructions for locating vehicles. | Core |
| Keep parking areas clean and orderly to ensure that space usage is maximized. | Core |
| Park and retrieve automobiles for customers in parking lots, storage garages, or new car lots. | Core |
| Greet customers and open their car doors. | Core |
| Inspect vehicles to detect any damage. | Core |
| Issue ticket stubs or place numbered tags on windshields, log tags or attach tag to customers' keys, and give customers matching tags for locating parked vehicles. | Core |
| Perform cash handling tasks, such as making change, balancing and recording cash drawer, or distributing tips. | Core |
| Explain and calculate parking charges, collect fees from customers, and respond to customer complaints. | Core |
| Provide customer assistance and information, such as giving directions or handling wheelchairs. | Core |
| Call emergency responders or the proper authorities and provide motorist assistance, such as giving directions or helping jump start a stalled vehicle. | Core |
| Direct motorists to parking areas or parking spaces, using hand signals or flashlights as necessary. | Supplemental |
| Patrol parking areas to prevent vehicle damage and vehicle or property thefts. | Supplemental |
| Lift, position, and remove barricades to open or close parking areas. | Supplemental |
| Escort customers to their vehicles to ensure their safety. | Supplemental |
| Perform maintenance on cars in storage to protect tires, batteries, or exteriors from deterioration. | Supplemental |
1.03/ 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 |
|---|---|
| Take numbered tags from customers, locate vehicles, and deliver vehicles, or provide customers with instructions for locating vehicles. | E1 purpose-built robot settings |
| Keep parking areas clean and orderly to ensure that space usage is maximized. | E1 purpose-built robot settings |
| Park and retrieve automobiles for customers in parking lots, storage garages, or new car lots. | E1 purpose-built robot settings |
| Greet customers and open their car doors. | E1 purpose-built robot settings |
| Inspect vehicles to detect any damage. | E2 structured facilities |
| Issue ticket stubs or place numbered tags on windshields, log tags or attach tag to customers' keys, and give customers matching tags for locating parked vehicles. | E2 structured facilities |
| Perform cash handling tasks, such as making change, balancing and recording cash drawer, or distributing tips. | E2 structured facilities |
| Call emergency responders or the proper authorities and provide motorist assistance, such as giving directions or helping jump start a stalled vehicle. | E2 structured facilities |
| Patrol parking areas to prevent vehicle damage and vehicle or property thefts. | E2 structured facilities |
| Lift, position, and remove barricades to open or close parking areas. | E2 structured facilities |
| Escort customers to their vehicles to ensure their safety. | E2 structured facilities |
| Perform maintenance on cars in storage to protect tires, batteries, or exteriors from deterioration. | E1 purpose-built robot settings |
Occupation information
Employment outlook (BLS)
- Employment, 2025
- 139K
- Projected employment, 2035
- 142K
- Change (2025–35)
- +2%
- Median annual wage, 2025
- $35,150
- 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 |
|---|---|---|---|
| 87294 | 대리 주차원 | This occupation is broader | confirmed |
| 99231 | 주차 관리원 | This occupation is broader | confirmed |
| 99232 | 주차 안내원 | Overlapping, not the same | confirmed |
| 87292 | 렌터카 운전원 | 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 9629Elementary Workers Not Elsewhere Classified
The definition, tasks and examples below are the ILO's description of that unit group, not of this occupation.
This unit group covers elementary workers not classified elsewhere in Major Group 9: Elementary Occupations. For instance, the group includes those who issue and collect parking or admission tickets, provide personal items to patrons or customers in cloakrooms, and assist patrons at entertainment events.
Tasks
- In such cases tasks would include -
- (a) selling admission tickets and passes to patrons at entertainment events or collecting tickets, passes and tags from patrons;
- (b) examining tickets or passes to verify authenticity, using criteria such as colour and date issued;
- (c) guiding patrons to exits or providing other instructions or assistance in case of emergency;
- (d) directing patrons to restrooms, concession stands and telephones;
- (e) directing vehicle drivers to parking spaces;
- (f) patrolling parking areas in order to prevent vehicle damage and vehicle property thefts;
- (g) calculating parking charges and collecting fees from customers;
- (h) assigning dressing room facilities, locker space or clothing containers to patrons of athletic or bathing establishments.
Example occupations
Cloak room attendant · Fairground attendant · Parking attendant · Ticket collector · Usher
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.
- parking valetESCO 8322.4Same scope
Parking valets provide assistance to clients by moving their vehicles to a specific parking location. They may also help with handling clients' luggage and provide information on parking rates. Parking valets maintain a friendly attitude towards their clients and follow company policies and procedures.
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 |
|---|---|---|
| G1708 | Voiturier / Voiturière | This occupation is broaderprovisional |
| I1211 | Agent / Agente d'exploitation de stationnement | Overlapping, not the sameprovisional |
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 |
|---|---|---|
| 9490 | Otras ocupaciones elementales | This occupation is narrower |
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 |
|---|---|---|
| 53111 | Berufe im Objekt-, Werte- und Personenschutz - 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 |
|---|---|---|
| 414 | 駐車場管理人 | This occupation is narrower |
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