Ranked #92 safest from AI among all Japanese occupations
Very lowLowModerateHighVery high
How AI is changing this job
A written analysis for this occupation is being prepared.
AI replacement risk compares the parts of a job that are easy to hand to AI or software (processing information, documentation, repetitive computer work) with the parts that are hard to automate (physical work, working closely with people, judgment in unpredictable settings), using the MHLW job tag survey on work activities, work context, skills and knowledge. The result is a relative position among all occupations in the country, scaled to 0–100%. Methodology →
Skills, education and requirements for 産業廃棄物処理技術者
Key skills
Active Listening
3.8
Instructing
3.7
Equipment Maintenance
3.6
Operation and Control
3.5
Repairing
3.5
Speaking
3.5
Operations Monitoring
3.5
Troubleshooting
3.4
Skill levels from the MHLW job tag worker survey.
Key knowledge areas
Mechanical
1.5
Public Safety and Security
1.5
Chemistry
1.5
Administrative
1.4
Customer and Personal Service
1.2
Education and Training
1.1
Personnel and Human Resources
1.0
Engineering and Technology
1.0
What the work involves
Repairing and Maintaining Mechanical EquipmentEvaluating Information to Determine Compliance with StandardsMonitoring Processes, Materials, or SurroundingsOrganizing, Planning, and Prioritizing WorkControlling Machines and ProcessesOperating Vehicles, Mechanized Devices, or EquipmentUpdating and Using Relevant KnowledgeMaking Decisions and Solving Problems
Important abilities
Problem SensitivityStaminaStatic StrengthDeductive ReasoningReaction TimeInformation Ordering
Licenses and certifications (Japan)
環境計量士
公害防止管理者
一般廃棄物処理施設技術管理士
特別管理産業廃棄物管理責任者
Related qualifications listed on job tag (names in Japanese). Some are mandatory, others recommended.
Education of workers
Training before entry
Related work experience
Difficulty of entry: ★★★☆☆ Moderate (from education, training, experience, licenses)
Pay and employment figures are national statistics. Projected pay, outlook scores and AI replacement risk are estimates from the Shigoto Zukan model, not guarantees. To request a correction, use the contact form. How to read the data
Sources: Basic Survey on Wage Structure (2025), Population Census and Hello Work employment statistics as published on the MHLW job tag site (retrieved Nov 1, 2026); Occupational Information Database (JILPT). Pay ranges, projections and scores are Shigoto Zukan estimates.