환경 복원 계획가
생명·물리·사회과학직Environmental Restoration Planners
- O*NET-SOC 코드
- 19-2041.02
Collaborate with field and biology staff to oversee the implementation of restoration projects and to develop new products. Process and synthesize complex scientific data into practical strategies for restoration, monitoring or management.
한국어 직업명은 AI Changing Work의 번역입니다. 과업 문장과 원천 값은 공표된 영문 그대로 표시합니다.
AI 노출도
- 데이터 출처: BLS발행 시점: 2026-08
매우 높음· 상대
낮음4단계 상대 범주매우 높음직업군 단위 값
척도 · 모수 · 출처
4단계 상대 범주 (낮음 / 보통 / 높음 / 매우 높음)
BLS 고용전망 표의 세부직업 831개 기준. 값은 NEM(전국고용매트릭스) 코드 단위로 부여되므로, 같은 NEM 코드를 쓰는 직업은 같은 밴드를 받습니다
- 데이터 출처: Anthropic발행 시점: 2026-03
0.055
0.000여기 실린 값의 범위0.745직업군 단위 값
척도 · 모수 · 출처
관측 노출 지수, 발행된 그대로 0–1
O*NET 과업 매핑 기준
SOC 2018 직업 단위로 발행된 값이며, 같은 SOC 2018 코드를 가진 O*NET 직업은 모두 이 값을 받습니다
- 데이터 출처: ILO발행 시점: 2025
0.38
0.09여기 실린 값의 범위0.70직업군 단위 값
척도 · 모수 · 출처
생성형 AI 노출 지수, 발행된 그대로 0–1
ISCO-08 직업군 단위로 발행된 값입니다. 미국 노동통계국(BLS)의 공식 교차표(ISCO-08→2010 SOC, 2010 SOC→2018 SOC)를 그대로 적용해 이 직업에 연결했으며, 연결은 전부 또는 일부 대응입니다
이 원천이 어떤 종류의 값인가
BLS 범주는 절대 수준이 아니라 상대 순위이며, 1차 측정도 아닙니다. 여러 선행 연구가 매긴 직업별 백분위 순위를 4단계로 묶은 값입니다. 고용·임금 예측도, 도입 확률도 아니며 자동화와 증강을 구분하지 않습니다.
AI 노출도 (OpenAI 루브릭)
평가 과업 23개 · β ≥ 0.5 인 과업 22개 (95.7%)
β = 직접 노출(E1) + 0.5 × 도구 활용 시 노출(E2). 원본 저장소의 정의를 따릅니다.
- 원천 단위: O*NET 27.2 과업 → O*NET 31.0 직업 코드
- 채점된 과업이 모두 O*NET 31.0 과업 목록에 있습니다.
- 출처
- OpenAI "GPTs are GPTs" exposure rubric
- 판
- gh-main-0471612
- 라이선스
- MIT License, Copyright (c) 2024 OpenAI
과업
O*NET® 31.0 Database의 과업 문장입니다. 핵심(Core) 과업을 먼저 보입니다.
| 과업 | 유형 | β (OpenAI) |
|---|---|---|
| Notify regulatory or permitting agencies of deviations from implemented remediation plans. | 핵심 | 1 |
| Develop environmental restoration project schedules and budgets. | 핵심 | 0.5 |
| Develop and communicate recommendations for landowners to maintain or restore environmental conditions. | 핵심 | 0.5 |
| Create diagrams to communicate environmental remediation planning, using geographic information systems (GIS), computer-aided design (CAD), or other mapping or diagramming software. | 핵심 | 0.5 |
| Apply for permits required for the implementation of environmental remediation projects. | 핵심 | 0.5 |
| Review existing environmental remediation designs. | 핵심 | 0.5 |
| Supervise and provide technical guidance, training, or assistance to employees working in the field to restore habitats. | 핵심 | 0 |
| Provide technical direction on environmental planning to energy engineers, biologists, geologists, or other professionals working to develop restoration plans or strategies. | 핵심 | 0.5 |
| Plan or supervise environmental studies to achieve compliance with environmental regulations in construction, modification, operation, acquisition, or divestiture of facilities such as power plants. | 핵심 | 0.5 |
| Inspect active remediation sites to ensure compliance with environmental or safety policies, standards, or regulations. | 핵심 | 0.5 |
| Plan environmental restoration projects, using biological databases, environmental strategies, and planning software. | 핵심 | 0.5 |
| Identify short- and long-term impacts of environmental remediation activities. | 핵심 | 0.5 |
| Identify environmental mitigation alternatives, ensuring compliance with applicable standards, laws, or regulations. | 핵심 | 0.5 |
| Create environmental models or simulations, using geographic information system (GIS) data and knowledge of particular ecosystems or ecological regions. | 핵심 | 0.5 |
| Conduct feasibility and cost-benefit studies for environmental remediation projects. | 핵심 | 0.5 |
| Conduct environmental impact studies to examine the ecological effects of pollutants, disease, human activities, nature, and climate change. | 핵심 | 0.5 |
| Communicate findings of environmental studies or proposals for environmental remediation to other restoration professionals. | 핵심 | 0.5 |
| Collect and analyze data to determine environmental conditions and restoration needs. | 핵심 | 0.5 |
| Develop natural resource management plans, using knowledge of environmental planning or state and federal environmental regulatory requirements. | 핵심 | 0.5 |
| Develop environmental management or restoration plans for sites with power transmission lines, natural gas pipelines, fuel refineries, geothermal plants, wind farms, or solar farms. | 핵심 | 0.5 |
| Create habitat management or restoration plans, such as native tree restoration and weed control. | 핵심 | 0.5 |
| Conduct site assessments to certify a habitat or to ascertain environmental damage or restoration needs. | 핵심 | 0.5 |
| Write grants to obtain funding for restoration projects. | 핵심 | 1 |
직업 정보
출처와 귀속
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: 19-2041.02 Environmental Restoration Planners
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.