Cleaners Of Vehicles And Equipment
Cleaners Of Vehicles And Equipment turn specialized knowledge, procedures, and judgment into practical decisions or services. In the U.S. BLS reference layer, this asset maps to Cleaners of vehicles and equipment with 2024 employment of 410.1k and a 2024 median annual wage of $35,270. FermatMind treats this path as a Realistic-first career: the question is whether you can sustain schedule pressure, safety procedures, licensing, and public interaction over time.
Career Snapshot: U.S. BLS Reference
This snapshot uses the BLS 2024–2034 Occupational Projections and Worker Characteristics table as the U.S. labor-market fact layer. O*NET is used for definitions, tasks, and work-style interpretation where a data-level occupation exists.
| Occupation | Cleaners Of Vehicles And Equipment |
| BLS/SOC title | Cleaners of vehicles and equipment |
| SOC code | 53-7061 |
| O*NET code | 53-7061.00 |
| U.S. jobs in 2024 | 410.1k |
| Projected U.S. jobs in 2034 | 426.2k |
| 2024–2034 change | +16.0k |
| Projected growth | 3.9% |
| Annual openings | 56.2k |
| Median annual wage, 2024 | $35,270 |
| Entry education | No formal educational credential |
| Work experience | None |
| On-the-job training | Short-term on-the-job training |
Occupation
Cleaners Of Vehicles And Equipment
BLS/SOC title
Cleaners of vehicles and equipment
SOC code
53-7061
O*NET code
53-7061.00
U.S. jobs in 2024
410.1k
Projected U.S. jobs in 2034
426.2k
2024–2034 change
+16.0k
Projected growth
3.9%
Annual openings
56.2k
Median annual wage, 2024
$35,270
Entry education
No formal educational credential
Work experience
None
On-the-job training
Short-term on-the-job training
Secondary Locale Reference
中国大陆暂无全国统一的车辆与设备清洁工单职业官方中位薪资；国家统计局行业数据和招聘平台样本只能作为行业/岗位信号，不能理解为个人薪资预测。
| Salary data type | industry_proxy_or_job_posting_signal |
Salary data type
industry_proxy_or_job_posting_signal
How to Decide Whether This Career Fits You
RIASEC Fit
Realistic-primary means the work repeatedly rewards this core problem-solving and work-environment preference in Cleaners Of Vehicles And Equipment.
Conventional-secondary matters because the role often requires procedures, tools, coordination, evidence, clients, users, patients, learners, or teams.
Investigative-support supports the role when decisions must be explained, delivered, documented, practiced, maintained, or coordinated.
This is a career-fit interpretation, not a destiny judgment or a guaranteed match score.
- Realistic-primary
- Conventional-secondary
- Investigative-support
Personality Fit
This is not a personality diagnosis. It is a work-style interpretation that should be cross-checked with actual tasks, credentials, workplace setting, and risk tolerance.
Cleaners Of Vehicles And Equipment may fit people whose personality style supports sustained attention, feedback tolerance, and the daily work context behind the title.
- Conscientiousness helps with deadlines, documentation, safety, and follow-through.
- Openness helps when the role requires learning, interpretation, problem framing, or adaptation.
- Extraversion may help in client, public, team, teaching, service, or leadership settings, but it is not always required.
- Emotional stability matters when feedback, uncertainty, conflict, risk, or operational pressure is high.
What Does This Career Do?
Wash or otherwise clean vehicles, machinery, and other equipment. Use such materials as water, cleaning agents, brushes, cloths, and hoses. The official fact boundary for this FermatMind career asset is SOC 53-7061 and O*NET 53-7061.00. That boundary separates occupational facts from informal job titles, local market examples, and editorial interpretation. In practice, Cleaners Of Vehicles And Equipment requires people to understand the work context, follow relevant standards, coordinate with stakeholders, document or communicate results, and manage the quality and risk of their decisions. FermatMind treats this role as a work-structure decision: the key question is not whether the title sounds attractive, but whether you can sustain the daily tasks, feedback loops, training requirements, and risk boundaries described in this page.
Core Responsibilities
- Rinse objects and place them on drying racks or use cloth, squeegees, or air compressors to dry surfaces.
- Apply paints, dyes, polishes, reconditioners, waxes, or masking materials to vehicles to preserve, protect, or restore color or condition.
- Clean and polish vehicle windows.
- Drive vehicles to or from workshops or customers' workplaces or homes.
- Scrub, scrape, or spray machine parts, equipment, or vehicles, using scrapers, brushes, clothes, cleaners, disinfectants, insecticides, acid, abrasives, vacuums, or hoses.
- Inspect parts, equipment, or vehicles for cleanliness, damage, and compliance with standards or regulations.
Work Context
| Search intent | career_exploration |
| Search intent | career_fit |
| Search intent | salary_and_outlook |
| Search intent | how_to_evaluate_fit |
| Search intent | career_risk |
Search intent
career_exploration
Search intent
career_fit
Search intent
salary_and_outlook
Search intent
how_to_evaluate_fit
Search intent
career_risk
- Cleaners Of Vehicles And Equipment career
- Cleaners Of Vehicles And Equipment salary
- Cleaners Of Vehicles And Equipment job outlook
- how to become cleaners of vehicles and equipment
- Cleaners Of Vehicles And Equipment personality fit
What Skills Does the Market Signal?
- Occupation
- Cleaners Of Vehicles And Equipment
- BLS/SOC title
- Cleaners of vehicles and equipment
- SOC code
- 53-7061
- O*NET code
- 53-7061.00
- U.S. jobs in 2024
- 410.1k
- Projected U.S. jobs in 2034
- 426.2k
- 2024–2034 change
- +16.0k
- Projected growth
- 3.9%
- Annual openings
- 56.2k
- Median annual wage, 2024
- $35,270
- Entry education
- No formal educational credential
- Work experience
- None
- On-the-job training
- Short-term on-the-job training
This snapshot uses the BLS 2024–2034 Occupational Projections and Worker Characteristics table as the U.S. labor-market fact layer. O*NET is used for definitions, tasks, and work-style interpretation where a data-level occupation exists.
Adjacent Career Comparison
| Driver/operator vs Dispatcher | Operators carry out movement; dispatchers coordinate routes and timing. | People who prefer field execution |
| Passenger vs Freight | Passenger work emphasizes public contact; freight work emphasizes cargo, logistics, and compliance. | People who know their service tolerance |
| Operations vs Maintenance | Operations moves people or goods; maintenance keeps vehicles and systems safe. | People who prefer action or troubleshooting |
Driver/operator vs Dispatcher
Operators carry out movement; dispatchers coordinate routes and timing.
People who prefer field execution
Passenger vs Freight
Passenger work emphasizes public contact; freight work emphasizes cargo, logistics, and compliance.
People who know their service tolerance
Operations vs Maintenance
Operations moves people or goods; maintenance keeps vehicles and systems safe.
People who prefer action or troubleshooting
Will AI Replace This Career?
5/10
FermatMind internal AI exposure rubric
Career Risks
- This page is for career exploration. It is not an income forecast, licensing guarantee, job-placement promise, medical/legal advice, or psychological diagnosis.
This page is for career exploration. It is not an income forecast, licensing guarantee, job-placement promise, medical/legal advice, or psychological diagnosis.
Contract and Project Risks
This page is for career exploration. It is not an income forecast, licensing guarantee, job-placement promise, medical/legal advice, or psychological diagnosis.
What should you prepare next?
Build a factual brief
- Confirm the SOC/O*NET or China occupation identity.
- Review the BLS/O*NET or China public-source definition.
- List tasks, tools, work settings, and source boundaries.
Test interest fit
- Take the RIASEC/Holland test first.
- Compare with MBTI and Big Five only as secondary signals.
- Look for mismatch between interest and real work context.
Observe the job market
- Review LinkedIn, Robert Half, Hays, Zhaopin, Liepin, and employer postings as market signals only.
- Do not treat a single job posting as a national salary fact.
Practice one work sample
- Create a sample report, lesson plan, service script, inspection checklist, portfolio item, analysis, repair log, or case summary depending on the role.
Manage risk
- Identify credential, safety, income, automation, location, and schedule risks before committing.
FAQ
Is Cleaners Of Vehicles And Equipment a good fit for my personality?
It may fit if your work style matches the role's RIASEC pattern: Realistic-primary, Conventional-secondary, Investigative-support. This is not a personality diagnosis; it is a way to test whether you can sustain the daily work environment, feedback, procedures, and responsibility of Cleaners Of Vehicles And Equipment.
Is Cleaners Of Vehicles And Equipment financially stable?
The BLS exact reference for this asset is: $35,270 median annual wage and 3.9% projected growth when a BLS row exists. These are labor-market facts, not personal income guarantees; location, credentials, employer type, hours, and experience can change outcomes.
Will AI replace Cleaners Of Vehicles And Equipment?
AI may accelerate research, records, drafting, scheduling, reporting, or data tasks, but this page does not claim the occupation will or will not be replaced. The safer question is which parts of the work require human judgment, safety responsibility, relationships, or field context.
Related next pages
Sources
- BLS Occupational Projections and Worker Characteristics, 2024–2034 - U.S. employment, wage, growth, education, experience, and training fields when a mapped BLS row exists
Boundary notice
Last reviewed: 2026-05-03. Next review due: 2026-08-03.
Next step
Use RIASEC to check your career-interest structure before making a job-path decision.
Test whether your career interests fit Cleaners Of Vehicles And Equipment / 测我的职业兴趣是否适合车辆与设备清洁工