Tree Trimmers and Pruners
Building and Grounds Cleaning and Maintenance Occupations- O*NET-SOC-Code
- 37-3013.00
Using sophisticated climbing and rigging techniques, cut away dead or excess branches from trees or shrubs to maintain right-of-way for roads, sidewalks, or utilities, or to improve appearance, health, and value of tree. Prune or treat trees or shrubs using handsaws, hand pruners, clippers, and power pruners. Works off the ground in the tree canopy and may use truck-mounted lifts.
Berufsbezeichnungen und Aufgabenbeschreibungen werden wie veröffentlicht auf Englisch angezeigt. Beschriftungen, einschließlich der Aufgabenarten, sind übersetzt.
KI-Exposition
- Datenquelle: BLSVeröffentlicht: 2026-08
Niedrig· relativ
NiedrigVier relative BänderSehr hochWert auf Berufsgruppenebene
Skala, Bezugsmenge und Quelle
Vier relative Bänder (Niedrig / Mittel / Hoch / Sehr hoch)
831 detaillierte Berufe in der BLS-Beschäftigungsprojektionstabelle. Der Wert wird je Code der National Employment Matrix (NEM) vergeben, daher erhalten Berufe mit demselben NEM-Code dasselbe Band
- Datenquelle: AnthropicVeröffentlicht: 2026-03
0.000
0.000Spannweite der hier geführten Werte0.745Skala, Bezugsmenge und Quelle
Index der beobachteten Exposition, 0–1 wie veröffentlicht
Auf O*NET-Aufgaben abgebildet
Veröffentlicht je SOC-2018-Beruf; jeder O*NET-Beruf mit demselben SOC-2018-Code erhält diesen Wert
- Datenquelle: ILOVeröffentlicht: 2025
0.18
0.09Spannweite der hier geführten Werte0.70Wert auf Berufsgruppenebene
Skala, Bezugsmenge und Quelle
Index der Exposition gegenüber generativer KI, 0–1 wie veröffentlicht
Veröffentlicht je ISCO-08-Berufsgattung. Mit diesem Beruf ganz oder teilweise verknüpft durch Anwendung der Umsteigeschlüssel des U.S. Bureau of Labor Statistics (ISCO-08 zu SOC 2010, SOC 2010 zu SOC 2018) in veröffentlichter Form
Welche Art von Wert diese Quelle veröffentlicht
Die Kategorie von BLS ist ein relativer Rang und kein absolutes Niveau, und sie ist keine eigene Messung: Sie fasst die Perzentilränge des Berufs aus mehreren veröffentlichten Studien in vier Bänder zusammen. Sie ist weder eine Beschäftigungs- oder Lohnprognose noch eine Einführungswahrscheinlichkeit und unterscheidet nicht zwischen Automatisierung und Augmentierung.
KI-Exposition (OpenAI-Rubrik)
26 bewertete Aufgaben · 2 Aufgaben mit β ≥ 0,5 (7.7%)
β = direkte Exposition (E1) + 0,5 × Exposition bei verfügbaren Werkzeugen (E2), gemäß der Definition des Quell-Repositorys.
- Quelleinheit: Aufgaben aus O*NET 27.2 → Berufscode aus O*NET 31.0
- 2 bewertete Aufgaben stehen nicht in der Aufgabenliste von O*NET 31.0; ihre Werte bleiben wie für O*NET 27.2 veröffentlicht.
- Quelle
- OpenAI "GPTs are GPTs" exposure rubric
- Ausgabe
- gh-main-0471612
- Lizenz
- MIT License, Copyright (c) 2024 OpenAI
Aufgaben
Aufgabenbeschreibungen aus der O*NET® 31.0 Database, Kernaufgaben zuerst.
| Aufgabe | Art | β (OpenAI) |
|---|---|---|
| Supervise others engaged in tree trimming work and train lower-level employees. | Kern | 0 |
| Operate boom trucks, loaders, stump chippers, brush chippers, tractors, power saws, trucks, sprayers, and other equipment and tools. | Kern | 0 |
| Climb trees, using climbing hooks and belts, or climb ladders to gain access to work areas. | Kern | 0 |
| Clean, sharpen, and lubricate tools and equipment. | Kern | 0 |
| Cut away dead and excess branches from trees, or clear branches around power lines, using climbing equipment or buckets of extended truck booms, or chainsaws, hooks, handsaws, shears, and clippers. | Kern | 0 |
| Trim, top, and reshape trees to achieve attractive shapes or to remove low-hanging branches. | Kern | 0 |
| Hoist tools and equipment to tree trimmers, and lower branches with ropes or block and tackle. | Kern | 0 |
| Operate shredding and chipping equipment, and feed limbs and brush into the machines. | Kern | 0 |
| Load debris and refuse onto trucks and haul it away for disposal. | Kern | 0 |
| Inspect trees to determine if they have diseases or pest problems. | Kern | 0 |
| Cable, brace, tie, bolt, stake, and guy trees and branches to provide support. | Kern | 0 |
| Collect debris and refuse from tree trimming and removal operations into piles, using shovels, rakes, or other tools. | Kern | 0 |
| Provide information to the public regarding trees, such as advice on tree care. | Kern | 1 |
| Clear sites, streets, and grounds of woody and herbaceous materials, such as tree stumps and fallen trees and limbs. | Kern | 0 |
| Trim jagged stumps, using saws or pruning shears. | Kern | 0 |
| Prune, cut down, fertilize, and spray trees as directed by tree surgeons. | Ergänzend | 0 |
| Remove broken limbs from wires, using hooked extension poles. | Ergänzend | 0 |
| Transplant and remove trees and shrubs, and prepare trees for moving. | Ergänzend | 0 |
| Spray trees to treat diseased or unhealthy trees, including mixing chemicals and calibrating spray equipment. | Ergänzend | 0 |
| Plan and develop budgets for tree work, and estimate the monetary value of trees. | Ergänzend | 0,5 |
| Water, root-feed, and fertilize trees. | Ergänzend | 0 |
| Apply tar or other protective substances to cut surfaces or seal surfaces and to protect them from fungi and insects. | Ergänzend | 0 |
| Scrape decayed matter from cavities in trees and fill holes with cement to promote healing and to prevent further deterioration. | Ergänzend | 0 |
| Split logs or wooden blocks into bolts, pickets, posts, or stakes, using hand tools such as ax wedges, sledgehammers, and mallets. | Ergänzend | 0 |
Berufsinformationen
Quellen und Namensnennung
This page includes information from the O*NET® 31.0 Database (https://www.onetcenter.org/database.html) by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/). O*NET® is a trademark of USDOL/ETA. AI Changing Work has modified all or some of this information: the O*NET-SOC code, title and task statements are reproduced in English without change; task-type labels are shown in the page's language and tasks are listed core first; any Korean occupation title shown on the Korean-language page is AI Changing Work's translation; any KSCO-8 unit groups linked to this occupation were paired with it by AI Changing Work's judgment, and the relation labels and statuses are AI Changing Work's additions. USDOL/ETA has not approved, endorsed, or tested these modifications.
Any AI exposure figures on this page are published by third parties, not by AI Changing Work, and none is part of the O*NET information. OpenAI publishes task-level scores (MIT License) for O*NET 27.2 task statements; each is shown next to the O*NET 31.0 task statement with the same task ID, whose wording can differ from the 27.2 statement that was scored. OpenAI also publishes occupation-level scores for O*NET-SOC codes in the same release, and any such score is shown on the O*NET occupation with the same code. Anthropic publishes an observed exposure index in the Anthropic Economic Index (CC-BY), and the U.S. Bureau of Labor Statistics publishes relative AI exposure categories (public domain); both are published per SOC code, and each value is shown on every O*NET occupation with that code. The International Labour Organization publishes a generative AI exposure index in ILO Working Paper 140 (CC BY 4.0) for ISCO-08 unit groups; AI Changing Work links those groups to O*NET occupations by applying the U.S. Bureau of Labor Statistics ISCO-08 to 2010 SOC and 2010 SOC to 2018 SOC crosswalks as published, without case-by-case selection, and these crosswalks match many groups only in part. Where several unit groups are linked, each group's published value is listed, and any summary shows only the lowest and highest of those values with the number of groups; no exposure figure is averaged or recalculated. Any employment figures are published by the U.S. Bureau of Labor Statistics for the SOC group containing this occupation. Each source is credited where its figures are shown.
O*NET OnLine: 37-3013.00 Tree Trimmers and Pruners
KSCO 코드·명칭: 한국표준직업분류(제8차 개정) — 통계청 고시 제2024-328호 (2024-07-01 고시, 2025-01-01 시행). 저작권법 제7조 제2호의 고시 항목이다. 명칭 표기(가운뎃점·띄어쓰기)는 해설서 2차 정오 반영판의 표기를 따랐으며, 고시 항목표와는 18개 명칭에서 가운뎃점 글리프나 띄어쓰기만 다르다. 통계청은 2025년 10월 국가데이터처로 개편되었다. 이 페이지의 KSCO 연결은 통계청·국가데이터처의 공식 연계표가 아니다.