What is the average salary for a Maintenance Workers, Machinery?

The median salary for Maintenance Workers, Machinery in the US is $45,000, ranging from $30,000 to $65,000.

What skills do Maintenance Workers, Machinerys need in 2026?

Key skills for Maintenance Workers, Machinery include: Equipment Maintenance, Troubleshooting, Repairing, Data Analysis, Technical Documentation.

Maintenance Workers, Machinery

Q: How is AI affecting Maintenance Workers, Machinery jobs?

AI impact on Maintenance Workers, Machinery is rated as Low. Maintenance Workers, Machinery are essential for keeping our world running smoothly by ensuring machines operate efficiently. It's a hands-on career where you diagnose, repair, and maintain equipment, making it a vital role in industries that rely on machinery.

AI Impact Analysis

Career Summary

Maintenance Workers, Machinery are essential for keeping our world running smoothly by ensuring machines operate efficiently. It's a hands-on career where you diagnose, repair, and maintain equipment, making it a vital role in industries that rely on machinery.

AI Impact Score

Low

Salary Data

Minimum: $30,000
Median: $45,000
Maximum: $65,000

Job Responsibilities

Dismantle machines and remove parts for repair. (AI can assist)
Reassemble machines after repair or maintenance. (AI can assist)
Record production, repair, and machine maintenance information. (AI can assist)
Lubricate machines and equipment according to procedures.
Install, replace, or change machine parts and attachments. (AI can assist)
Diagnose machine malfunctions using diagnostic tools. (AI can assist)
Perform routine maintenance checks and adjustments.

Requirements

Education: High school diploma or equivalent
Experience: On-the-job training or apprenticeship

In-Demand Skills

Equipment Maintenance High
Maintaining machinery to ensure efficient operation.
Troubleshooting High
Diagnosing and resolving equipment malfunctions.
Repairing High
Fixing damaged or malfunctioning equipment.
Data Analysis Medium
Analyzing machine performance data to identify inefficiencies and potential problems.
Technical Documentation Medium
Creating and maintaining accurate maintenance records.
Adaptability Medium
Adapting to new technologies and maintenance procedures.
Communication Medium
Communicating effectively with team members and supervisors.

Job Market Demand

AI Integration

AI Co-Pilot Tasks

AI-powered diagnostic tools pinpoint failing components.
Predictive maintenance software anticipates equipment failures.
AR/VR guides for complex repairs with step-by-step instructions.
AI optimizes maintenance schedules based on real-time data.
Automated inventory management of spare parts.
Chatbots providing instant access to equipment manuals and troubleshooting guides.
AI analyzes machine performance data to identify inefficiencies.

Automation Opportunities

Routine lubrication tasks.
Simple parts replacement.
Basic maintenance checks.
Data entry of maintenance logs.
Monitoring machine performance indicators.
Inventory tracking of common spare parts.
Generating routine maintenance reports.

New Frontiers

AI-driven predictive maintenance specialist.
Robotics maintenance engineer.
AR/VR maintenance trainer.
Data analyst for maintenance performance optimization.
Remote maintenance and diagnostics specialist.
AI-powered maintenance consulting.
Development and implementation of AI maintenance solutions.

Recommended Tools

Computerized Maintenance Management System (CMMS) Management
Software for planning, executing, and tracking maintenance activities.
Predictive Maintenance Software AI
Analyzes data to predict equipment failures and optimize maintenance schedules.
Vibration Analysis Tools Diagnostic
Identifies potential mechanical problems through vibration analysis.
Thermal Imaging Cameras Diagnostic
Detects overheating components for preventative maintenance.
Augmented Reality (AR) Overlays AI
Provides step-by-step guidance for repairs and maintenance tasks.
Hand Tools (Wrenches, Screwdrivers, etc.) Tools
Essential for dismantling and reassembling machinery.
Diagnostic Scanners Diagnostic
Identifies malfunctions in computerized systems.
Lubrication Equipment Tools
Applies lubricants to machinery to reduce friction and wear.

Risks & Considerations

Automation of Routine Tasks
AI and robotics could automate some routine maintenance tasks.
Skill Obsolescence
New technologies may require new skills that are not currently possessed.
Economic Downturns
Economic downturns may lead to job losses in manufacturing industries.
Safety Hazards
Working with heavy machinery and hazardous materials can be dangerous.
Lack of Career Advancement
Limited opportunities for career advancement in some organizations.

Career Outlook

The demand for skilled maintenance workers is expected to remain stable, with opportunities arising from technological advancements in machinery and the need for specialized maintenance skills.