Highway maintenance workers Highway Maintenance Workers
職業代碼: 47-4051（SOC） 非技術移民職業 總體 6.4/10
Responsible for maintenance of highways, municipal roads, rural roads, airport runways, and rights-of-way areas, including repairing damaged pavement, fixing barriers, signs, and snow fences, as well as mowing, clearing shrubs, or snow removal.
評分 · 總體 6.4/10i
In the AI era: what happens to Highway maintenance workers
Highway maintenance workers will face the dual impact of automation and AI enhancement: repetitive manual tasks (e.g., road patching, weeding) may be replaced by automated equipment, but on-site judgment, emergency response, and complex repairs still rely on human experience. The role is undergoing structural adjustment rather than wholesale elimination.
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Partially replaced manual inspection and repair of road cracks and potholes, reducing frequency of manual patrols and fixes.
↗ 數據來源 -
Replaced manual drawing of road markings (e.g., lane lines, arrows), improving accuracy and efficiency, reducing demand for manual line painters.
↗ 數據來源 -
Replaces some manual measurement and operation in tasks such as road leveling, gutter maintenance, and subgrade compaction, reducing labor needs through automated control systems.
↗ 數據來源 -
Replaces manual snow removal in small areas like highway service areas and toll booths, but not yet used for main road snow removal.
↗ 數據來源 -
Replaced some manual road inspections and defect identification tasks, using AI to automatically detect and classify damage, reducing the workload of foot patrols.
↗ 數據來源 -
Replaces some manual labor and inspection tasks in road base compaction, using AI to automatically adjust vibration frequency and amplitude, but requires operator supervision.
- Using an automatic pothole repair robot to fill cracks and potholes.
- Use drones for road condition inspection and damage identification
- Optimizing snow removal and mowing routes via AI scheduling systems
- Operation of automatic barrier cleaning and line marking equipment
- Basic data entry and report generation (autonomous vehicle sensor data)
- Use AR headset to access road disease diagnostic information and repair guidance
- Use AI predictive maintenance system to plan maintenance priorities and timing
- Remote monitoring of road conditions and adjustment of work plans via digital twin platform
- Use AI to optimize snow removal resource allocation and personnel scheduling
- Combine CCTV and sensor data to detect and respond to sudden hazards (e.g., rockfalls) in real time
- On-site judgment and process adjustment for complex road surface structure repairs
- Rapid decision-making and coordination in emergency response (e.g., cleanup after traffic accidents)
- Manual troubleshooting and on-site repair of equipment failures in severe weather
- Real-time communication and collaboration with traffic management and emergency departments
- Experience in identifying and handling non-standard pavement distress (e.g., deep settlement).
- Operate and maintain automated road repair and inspection equipment
- Use GIS and digital twin tools for road condition analysis.
- basic programming skills (PLC or robot control interface)
- Drone operation and data interpretation (FAA Part 107)
- AR-assisted maintenance system usage
- Data analysis and predictive maintenance planning.
Entry-level positions are narrowing as autonomous road repair robots, smart inspection drones, and other equipment begin taking on basic labor; employers prefer candidates capable of operating and maintaining automated equipment, and purely manual jobs are decreasing.
It is recommended to transition from pure physical labor to 'automated equipment operation and maintenance + on-site management'. In the short term, learn drone inspection and smart repair equipment operation; in the medium term, master AI-based maintenance decision systems and digital twin platforms; in the long term, advance to smart maintenance technical supervisor, responsible for developing maintenance rules for new infrastructure such as autonomous vehicle lanes.
薪資
| 經驗 | 年薪 (USD) | |
|---|---|---|
| 初級（0-3年） | $34,000 ~ $42,000 | Starting salary is low, usually includes overtime pay. |
| 中級（3-7年） | $42,000 ~ $53,000 | Salary rises with experience; requires CDL |
| Senior (7+ years) | $53,000 ~ $65,000 | Foreman or supervisor can earn higher; some states have union wage standards |
教育路徑
| 階段 | 時長 | 費用 (USD) |
|---|---|---|
| High school diploma or equivalent | 4年 | $0~$0 |
| On-the-job training | 1-2 years | $0~$5,000 |
資格
| 學歷 | 發證機構 | |
|---|---|---|
| Commercial Driver's License (CDL) | State motor vehicle department | 必需 |
| Road safety certificate | National Highway Traffic Safety Administration or state departments of transportation | 可選 |
移民
非技術移民職業. Visa pathways depend on matching the specific duties to the right petition category; refer to the latest USCIS rules and the relevant category.
適合對象
- Outdoor manual labor suited to people who adapt to various weather conditions
- Individuals with mechanical operation experience or willingness to learn heavy equipment operation
- People seeking stable government or public utility jobs.
- Those aiming for high salary or fast promotion
- Those sensitive to high physical demands and harsh working conditions
職業前景
Typically start with basic maintenance work, gain experience, and advance to foreman or supervisor roles. Some workers can move to heavy equipment operation, road construction management, or traffic safety inspection. Long-term experience can lead to management positions in public works departments.
U.S. employment prospects are stable, driven by infrastructure investment and aging roads. According to BLS data, employment growth from 2023-2033 is about 4%, about as fast as the average for all occupations. Federal and state highway projects continue to provide jobs, but economic fluctuations may affect government budgets.
成長領域：
Infrastructure InvestmentRoad MaintenanceSnow Removal ServicesPublic Works
常見問題
數據來源
Salary ranges are estimates aggregated from public listings on Indeed, Glassdoor, ERI SalaryExpert and the U.S. Bureau of Labor Statistics (BLS OEWS); employment and demand outlook cite the BLS Occupational Outlook and O*NET; visa and migration details follow the latest USCIS work-visa (H-1B / O-1 / L-1) and employment-based green-card (EB-2 / EB-3, incl. DOL PERM labor certification) rules. Figures are indicative only — always refer to the latest official sources.