Laundry and Dry-Cleaning Workers Laundry and Dry-Cleaning Workers
Kode pekerjaan: 51-6011（SOC） Bukan pekerjaan migrasi terampil Keseluruhan 5.8/10
Operate or tend washing or dry-cleaning machines to clean or dry-clean items such as clothing, leather, blankets, etc., including stain removers and dyers.
Peringkat · Keseluruhan 5.8/10i
In the AI era: what happens to Laundry and Dry-Cleaning Workers
Laundry and dry-cleaning workers face medium-to-high automation risk; routine tasks (sorting, adding chemicals, loading/unloading) are easily replaced by robots/smart equipment, but fine work like stain treatment still relies on humans; entry-level positions will shrink significantly.
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Replaces some manual management tasks in laundry and dry cleaning workers' order receiving and sorting, garment classification, machine scheduling, and customer notification.
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Replaced manual folding tasks for laundry workers, including folding and stacking common items like T-shirts, pants, and towels.
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Replaced the work of laundry workers in sorting clothes by material and selecting washing procedures, reducing the need for manual judgment and machine setup.
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Replaces order management, customer communication, and some logistics coordination tasks in laundry and dry cleaning, but washing and dry cleaning operations still require manual work.
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Replaced some decision-making for laundry workers in adjusting detergent amount and water temperature based on load and stain level, but machine operation still requires human input.
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Partially replaces the work of laundry workers in receiving dirty clothes, recording customer information, and sorting clothes; the dry-cleaning process still requires manual monitoring.
- Sorting clothes by color/fabric (achievable with AI vision + robotic arm)
- Load clothes into washing/dry-cleaning machines and add detergent (automatic dosing + robotic arm)
- Start machine and monitor process (PLC/IoT automatic control)
- Remove clothing from machines and check for cleanliness (visual inspection)
- Manage inventory and tags (RFID + software systems)
- AI-assisted stain identification and specialized treatment recommendations
- Smart scheduling system optimizes laundry/dry cleaning process order
- Machine predictive maintenance alerts reduce downtime
- Customer self-service kiosks reduce front desk workload
- Experience with physical/chemical treatment of special stains (blood, ink, red wine, etc.)
- Judgment on hand-care of delicate fabrics (silk, cashmere, etc.)
- Communicate special requirements with customers and adjust processes
- Rapid troubleshooting and manual repair when handling mechanical faults
- Mastering AI-assisted stain recognition software (e.g., SpotClean AI)
- Learn basic maintenance and programming of robots and automation equipment
- Enhance knowledge of advanced fabric care and dyeing
- Learn customer service and communication skills (transition to account management)
- Familiar with smart laundry management systems (e.g., LaundryHub)
- Learn business data analysis (to optimize operational efficiency)
Entry-level positions (e.g., sorting, loading/unloading, simple operations) are most impacted by automation; self-service laundry and smart dry-cleaning kiosks will reduce demand for low-skilled labor, and entry-level job numbers are expected to decline.
Consider transitioning to textile care specialist or smart laundry system operator: learn AI detection and fault diagnosis, master basic robot programming, obtain advanced fabric care certification. Future roles include managing smart laundry plants or focusing on high-value services like special fabric treatment.
Gaji
| Pengalaman | Tahunan (USD) | |
|---|---|---|
| Pemula (0-3 tahun) | $22,000 ~ $28,000 | Hourly wage about $11-13 USD |
| Menengah (3-7 tahun) | $28,000 ~ $35,000 | Including experience and skill enhancement |
| Senior (7+ years) | $35,000 ~ $45,000 | Supervisor or technical specialist |
Jalur Pendidikan
| Tahap | Durasi | Biaya (USD) |
|---|---|---|
| High school diploma or equivalent | 0 years | $0~$0 |
| On-the-job training | 1-3 months. | $0~$500 |
Kualifikasi
| Kualifikasi | Penerbit | |
|---|---|---|
| On-the-job training | Employer | Wajib |
| High school diploma or equivalent | High school | Opsional |
Migrasi
Bukan pekerjaan migrasi terampil. Visa pathways depend on matching the specific duties to the right petition category; refer to the latest USCIS rules and the relevant category.
Cocok untuk
- Those who enjoy hands-on work and can accept repetitive tasks
- Those not allergic to chemical cleaners and detail-oriented
- Job seekers hoping to gain employment quickly after short-term training
- Those seeking high salary and career advancement opportunities
- People sensitive to chemicals or who dislike monotonous work
Prospek karir
Usually start as entry-level operators, gain experience and may advance to team leader or supervisor, or transition to equipment maintenance or start a small laundry business. Requires continuous learning of new washing techniques and environmental regulations.
The U.S. Bureau of Labor Statistics projects little or no change in employment for this occupation from 2023 to 2033, with about 3,700 job openings annually, mainly due to automation replacing simple washing tasks, but demand remains for high-end dry cleaning and custom services.
Area pertumbuhan：
Moderate declineAutomation impactEco-friendly detergentsCustom garment care
FAQ
Sumber data
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.