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The rug cleaner who moved into the high-value work

$55,730top of the range in Hawaii · middle $34,890 / yr
AI augments this role

Rug Cleaners in the United States earn a median of $34,890 a year. Pay starts near $27,440. Pay reaches $55,730 at the top of the range in Hawaii, the best-paying state for this work among those with at least 500 people in the job.

Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025 (Laundry and Dry-Cleaning Workers, SOC 51-6011). Last checked 9 September 2026.

Entry level
$27,440
Top of the range · Hawaii
$55,730
Education
High school diploma + training
Lower disruption Higher exposure AI augments this role
Entry · $27,440 Top of range · $55,730 (Hawaii) Middle $34,890

Wages — U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025 (Laundry and Dry-Cleaning Workers). Top of the range is the highest state-level figure among states with at least 500 people in the job. AI-impact rating is PayCrunch's editorial assessment. Updated September 2026.

🆕 New & Trending AI Tools for Rug CleanerReviewed September 2026

We track new AI-tool launches every week and refresh this list — here’s what’s gaining traction for Rug Cleaner work right now.

Housecall Pro AINEWPaid / see site

Field-service software with AI inbox, review timing, and estimate assist used by residential service shops.

How a Rug Cleaner uses it: draft customer replies, build a line-item quote, and keep the book of cleans moving

Workiz AINEWPaid / see site

Field-service software with an AI receptionist that answers and books calls.

How a Rug Cleaner uses it: never miss a booking call — AI answers, quotes, and schedules while you are on a job

NotebookLMNEWFree / $7.99 mo

Google tool that answers questions grounded only in the documents you give it — with citations.

How a Rug Cleaner uses it: load SDS sheets or a restoration protocol and ask process questions that stay on the document

ChatGPTFree / $20 mo

AI assistant for estimates, checklists, and customer updates in plain language.

How a Rug Cleaner uses it: draft a scope, price a room or job, or write a chemical-use note — then follow the product label

JobberPaid / see site

Field-service platform with AI assist for quoting, scheduling, and invoicing mobile jobs.

How a Rug Cleaner uses it: book recurring cleans, send reminders, and invoice from the van

Canva AIFree / $13 mo

Design platform with AI text-to-image, writing, and one-click layouts.

How a Rug Cleaner uses it: make before-and-after posts and simple flyers without a designer

ClaudeFree / $20 mo

AI assistant known for careful writing, long-document analysis, and coding.

How a Rug Cleaner uses it: analyze big reports or spreadsheets and turn messy notes into clean, finished writing

Google GeminiFree / $20 mo

Google's AI assistant, built into Gmail, Docs, and Search.

How a Rug Cleaner uses it: draft and reply inside Google Workspace and research without leaving the page

Microsoft CopilotFree / $30 mo

AI built into Word, Excel, PowerPoint, Outlook, and Teams.

How a Rug Cleaner uses it: write documents, build spreadsheets, and summarize meetings inside Office

Wool, water, and the plant

A rug cleaner spends the day inside a plant, not on a living-room pitch. Trucks roll up with rolls from the route. Walk-in customers arrive with a single oriental they have owned for years. Your job is to take that textile from dirty to ready for the floor again, and to send it home without a new problem you created. The room smells like wet wool, dust, and detergent. Racks hold rugs that are drying. A table or a pit is where the wash happens. Someone is always tagging, someone is always watching a dye that might run, and someone is on the phone because a customer wants to know if the rug will be back before a party.

Plant work is physical and fussy at the same time. A large hand-knotted wool rug is awkward to move, easy to damage at the fringe, and slow to dry if the room is humid. A cheap tufted synthetic can hide a different kind of trouble: a backing that falls apart once it is wet, or a color that was never meant to meet water. Silk and viscose ask for a slower hand. You learn to tell those fibers apart before anyone turns a hose on them. The people who last in this job are the ones who can lift, who can stand for a full shift, and who still stop when a tag says the rug is delicate.

The plant is a chain of stations. Intake writes down what came in and photographs damage that was already there. Dusting pulls loose soil out before a wash turns that soil into mud. Washing is the middle of the day. Drying takes the time it takes, and rushing it is how a rug leaves with a smell. Finishing is the last look: fringe, edges, and whether the rug lies flat enough to go back on a truck. None of that is a chemistry lecture. It is a sequence the shop already runs, and a new cleaner learns it beside someone who has ruined a rug once and refuses to ruin a second.

The day the rug arrives

Morning starts with the board of jobs, not with a grand speech. Route drivers dump rolls. Each rug needs a tag that matches the customer, the room it came from, and the complaint. Pet odor, a flood, a red drink, a bleach spot the owner already tried to fix: those notes matter more than a slogan on the truck. You look at construction. Hand-knotted, machine-woven, and tufted rugs do not behave the same way once they are wet. You look at fiber. You look at the fringe and the binding. You write what you see before the rug goes near water, because a customer will remember a hole that was there and will also remember a hole that was not.

Through the middle of the shift you are at the wash, then at the drying room, then back at the wash because another roll came in. Coworkers trade jobs when a rug needs two people. A lead walks the racks and pulls anything that still feels damp or still smells wrong. Afternoon is often the quality pass and the phone. You tell a customer the truth when a stain is in the fiber and a wash will lighten it without erasing it. You tell them when a rug should go to a repair specialist for fringe or a rebinding instead of through your wash. That honesty is part of the craft. A plant that promises miracles loses the rug and the account.

The day ends when the dry rugs are groomed, rolled, and staged for delivery, and when the wet ones are safe on the racks with air moving. You clean the pit or the table so the next shift does not inherit your soil. You fix tags that came loose. You leave a note the morning crew can read. People who treat the plant like a laundromat, tossing everything into one process, do not last. People who treat each rug as someone else's property do. The work is repetitive until a silk, a faded antique, or a soaked rental unit shows up, and then the whole floor slows down on purpose.

A certificate from IICRC

Most cities do not hand a rug cleaner a personal licence the way they license a plumber. The credential employers actually recognize comes from the Institute of Inspection, Cleaning and Restoration Certification, usually called IICRC. It is a private certification body, not a state board. The rug cleaning certification shows you have studied fiber identification, soil, and plant methods with an approved school and then earned the mark IICRC grants. It proves you can talk about a rug in the language of the trade, and that you prepared instead of only copying the person next to you. It does not replace good judgment on a wet antique, and it does not make you the owner of the plant.

People prepare by taking an IICRC-approved class, working the plant while they study, and sitting the exam the institute requires. Bring the certificate you finished, not a class you only watched a coworker attend. Shops also like a related cleaning certificate if your plant does wall-to-wall work on the side, but the rug mark is the one that matches this job. Read the current path on the institute's own site, iicrc.org, because course names shift and a blog recap goes stale. A business licence for the company is a separate piece of paper. Ask whether the shop holds it, and whether your name needs to be on anything before you drive a route truck.

The certificate follows the plant

IICRC certification shows study and a completed exam. A city work card is a separate document. Confirm what your shop and your town expect before you count the credential as permission to run a route alone.

Who gets the job

Plants hire people who can be trusted with property they cannot replace. In an interview, talk about a rug you handled carefully, a mistake you caught before delivery, and a time you asked for help instead of guessing on a fiber. Owners listen for that pause. They have paid for bleached wool and for a fringe that went into a machine. A clean driving record matters if the job includes pickups. So does showing up when the drying room is behind, because a late rug is a lost account even when the wash was perfect. You do not need a speech about passion for textiles. You need proof you will follow a tag.

New hires often start as helpers: moving rugs, tagging, dusting, and watching. Say you want that seat if you have never run a wash. Pretending you have cleaned silk when you have only vacuumed apartments is how you get fired in the first month. If you have IICRC training, say exactly which certificate you hold and what you have done since. Ask what a normal day is, who checks your work, and which rugs stay with a lead until you have been trained. A serious plant answers. A shop that says everyone figures it out on the truck is telling you the customer will be the one who finds the error.

From the wash floor to the front counter

The path inside a plant is short and visible. Helpers move rugs and learn fibers. Technicians run the wash and the drying room and talk to customers about realistic results. A lead sets the order of jobs, trains the new person, and stops a rug that should never have been wetted. Some people move to the counter and the route, because they are better at explaining damage than at standing in a pit. Some stay on the floor and become the person everyone calls when an antique comes in. A few open a small plant of their own once they can carry the rent, the insurance, and a reputation. All of those are real versions of the same career.

Promotion follows trust. The lead is the one who documents pre-existing damage and who can teach a helper why two rugs that look alike cannot share a process. If you want that role, ask to own a straightforward wool job from intake through delivery, including the phone call. If you want the counter, sit with the person who writes estimates and learn how the shop says no. Geography matters less here than reputation. A cleaner who moves cities can carry an IICRC certificate and still needs to learn how that plant dries rugs, because humidity and equipment change the day even when the credential stays the same.

Pay in the laundry series

Rug and plant pay is reported inside a broader occupation. These figures are Occupational Employment and Wage Statistics, May 2025, for Laundry and Dry-Cleaning Workers. Use them as the map for this job, and keep that series name in this part of the conversation only. The entry wage is $27,440. The national median is $34,890. The gap between those two is $7,450. If a helper offer sits near $27,440, that $7,450 is the distance you are trying to close once you can wash, dry, and talk to a customer without a lead standing over the tag.

Hawaii holds the high end of the published range, $55,730. That high end differs from a state median. It is the top of the range published for Hawaii, and it is a different statistic from typical pay. The gap from the national median to that high end is $20,840. I would mention $55,730 only when the role, the cost of living conversation, and the market actually sit at that far end. For a normal plant job, the median is the everyday comparison. Washington posts the highest median, $39,590, which sits $4,700 above the national median of $34,890. Aiming at Washington's median differs from quoting Hawaii's range top.

Other medians cluster tightly. Oregon is $37,800. California is $37,790. Colorado is $37,680. Minnesota is $37,580. All of them sit above the national median, and none of them is close to Hawaii's $55,730 high end. The lowest median is in Puerto Rico, $22,630. The spread from Washington's median to Puerto Rico's median is $16,960. If you are comparing two job offers, compare medians with medians. If someone waves Hawaii's high end at a Colorado helper job, they are mixing two statistics. Colorado's median of $37,680 is the figure that belongs next to a typical offer in that state.

Bringing numbers to the conversation

Walk in with three numbers written down: the entry wage of $27,440, the national median of $34,890, and the median for the state where the plant actually sits. If that state is Washington, the median is $39,590. If it is Oregon, $37,800. If it is California, $37,790. If it is Colorado, $37,680. If it is Minnesota, $37,580. If the state is missing from this set, stay with $34,890 and the $7,450 step up from entry. Do not borrow Hawaii's $55,730 to fill a silence, and do not borrow Puerto Rico's $22,630 to talk a wage down when you work somewhere else. The $16,960 gap explains how far state medians can sit apart. That spread stays a comparison between places, rather than a raise you can demand from one shop by subtraction.

Tie the ask to work the plant can see. A helper who only moves rolls is nearer $27,440. A technician who can identify fiber, run the wash, and explain a stain that will not disappear is arguing toward $34,890, and in a high-median state toward that state's median. The $4,700 difference between the national median and Washington's median is a location fact, not a personal bonus. Lead duty, route driving, and opening the plant are the duties that support a number above typical pay. Put those duties in the offer. A hallway promise that you will "get to the top" differs from a wage written in the offer. Hawaii's high end remains the far published figure, $20,840 above the national median, and it should stay in that sentence.

Before you accept, read the offer out loud next to the median that matches the plant's state. Ask what changes the wage: a finished IICRC certificate, solo wash duty, customer calls, or a lead shift. Ask when that review happens. Keep the certificate talk separate from the dollar talk so you do not blur a private credential into a number the Bureau did not publish. If the offer is under $27,440 and the job expects you to wash unsupervised, say so with the entry figure in front of you. If the offer is already at the state median, the next ask is a duty you can name, measured against the published range rather than against a guess you heard from a route driver. That is a clean conversation, and plant owners respect it more than a speech.

The top of Rug Cleaner pay — and how to get there with AI

$55,730what Rug Cleaner pay reaches in Hawaii

Highest state-level top-of-range annual wage for Laundry and Dry-Cleaning Workers, among states with at least 500 people in the job. U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025.

And the role it leads to — Cleaning, Washing, and Metal Pickling Equipment Operators and Tenders — reaches $62,830 in Ohio.

$27,440entry$34,890middle$55,730top end

A rug cleaner running volume wash and fold and a rug cleaner handling hand-knotted wool for a designer sit at opposite ends of this range while doing recognisably the same steps.

Sorting articles by colour, fabric, dirt content and required cleaning technique, setting the detergent, bleach and starch volumes at the machine, running extractors and driers, then marking each piece with its identifying code is the same discipline whichever plant you stand in. What changes is what walks through the door. Antique and hand-woven rugs, water damage restoration for insurers, and resort and interior design accounts are priced per piece on skill and risk. Bulk contract work is priced per pound. Learning fibre and dye behaviour is what moves you between those worlds, and a phone camera plus a careful record of results is most of the evidence you need.

Your playbook, by where you are now

Just startingGet faultless on the basics

  1. Learn to identify fibre and construction by hand before you read a label, since that judgment decides every setting afterwards.
  2. Test for dye bleed on anything coloured and unknown, and write down what you found.
  3. Run the machines to a written recipe, recording detergent, bleach and additive volumes per fabric class instead of pouring by habit.
  4. Clean machine filters and lubricate equipment on schedule, because a breakdown mid-cycle on a valuable piece is the expensive kind of mistake.
  5. Mark and code every article on receipt so nothing is ever searched for.

What proves it: Six months with no dye bleed, shrinkage or misplaced piece on your work.

Realistic span: the first year

A few years inBuild a specialty and prove it

  1. Pick one specialty and train in it formally, whether hand-knotted wool, silk, natural fibre matting or water damage restoration.
  2. Photograph every piece before and after, with a note of construction, soil type and what you did.
  3. Keep your own record in Microsoft Excel of turnaround, rewash rate and any piece that came back, since specialty clients buy on reliability.
  4. Read the point of sale history in Cents or Curbside Laundries Wash and Fold POS Software to see which services carry the plant.
  5. Have Claude draft the plain-language condition report you give a customer with a fragile piece, then correct the fibre and treatment details yourself.

What proves it: A photographed portfolio of specialty pieces with the method recorded for each.

Realistic span: years two to five

ExperiencedWork where the pieces are worth more

  1. Target plants and employers whose work is priced per piece, restoration firms, dedicated rug plants and high-end residential services.
  2. Build relationships with interior designers, auction houses and insurance adjusters, all of whom need someone they trust with irreplaceable items.
  3. Learn to write the condition and risk assessment that lets a client accept a piece may not fully recover.
  4. Weigh geography as well; Hawaii pays this occupation the most, with resort, humidity and salt exposure creating steady specialty demand.
  5. Aim at running the cleaning equipment operation itself if you want the step above the floor, where pay follows the plant rather than the hour.

What proves it: A specialty book of work coming to you by name rather than through the counter.

Realistic span: six years onward

The next 90 days

Over the next ninety days, document twenty pieces properly. For each one write the fibre, the construction, the soil, the dye test result, the exact settings and additives you used, the drying method, and how it came out, with photographs before and after. Choose the hardest twenty you get near, not the easiest. Then take that record to two places: your own plant manager, and one specialty or restoration operation in your area. Ask the second what they would want to see from someone applying. Rug cleaners who can show documented results on difficult pieces get offered the difficult pieces, and difficult pieces are what the top of this range is paid for.

Wage figures: BLS OEWS, May 2025. The playbook is PayCrunch editorial guidance, not a guarantee of pay or placement.

Careers related to Rug Cleaner

Similar pay, same field

Where this can lead

Every figure is the national median from the U.S. Bureau of Labor Statistics (OEWS) shown on that role’s own page.

Never used AI before? Start here (2 minutes).

Open ChatGPT or Gemini with the camera and photograph a rug. The money in this trade is in fine hand-knotted rugs, and the first skill is knowing what you're holding. Snap the pile, the back (the knots), the fringe, and any signature, and ask the AI to help identify origin, likely fiber, and construction, a starting point you then confirm with a physical fiber and colorfastness test.

Learn for free: study rug-identification and washing techniques on YouTube, read up on IICRC rug-cleaning standards, and set up a Google Business Profile so designers and homeowners find you. Never trust an AI ID alone before you put water and chemistry on a valuable rug.

The one rule, forever: AI fiber and dye identification is an educated guess, not a lab test, and the wrong chemistry destroys an irreplaceable rug. Always confirm fiber with a physical burn or fiber test and check every dye for colorfastness (a wet-cloth bleed test) before immersion; wool, silk, and natural dyes demand pH-neutral, low-heat handling. When in doubt on a valuable antique, test discreetly or decline, you own the damage.
The plays — exact steps, exact prompts

Do these in order. Each one is copy-paste ready. You do not need to know anything about AI going in.

1
Identify and price fine rugs with AI vision
Why this pays: A hand-knotted wool or silk Oriental cleans for many times the per-square-foot rate of a synthetic area rug. Correctly identifying what's on your bench is how you price by value and stop leaving money on the floor.
ChatGPT (Vision)Google GeminiGoogle Lens
1
Photograph the pile, the back and knots, the fringe, and any signature; upload to ChatGPT or Gemini for a first read on origin and construction.
2
Get an identification hypothesis and the tests to confirm it.
Copy-paste this prompt
Look at these photos of an area rug (pile, back, fringe, edges). Help me identify likely origin or type, hand-knotted vs. machine-made, probable fiber (wool/silk/synthetic), and knot-density clues. List what physical tests I should run to confirm before cleaning, and what cleaning cautions apply to this type of rug.
This is a starting hypothesis only, always confirm fiber with a burn test and dyes with a colorfastness test before washing.
3
Price by value and difficulty, not just size; an accurate ID justifies a premium quote and protects you on delicate rugs.
What you'll haveValue-based pricing on fine rugs, the shift that lifts you toward $55,730 and beyond.
2
Build a pickup-and-delivery plant service
Why this pays: In-home cleaning caps your price; a pickup, full-immersion wash, and delivery service commands two to four times more per rug and serves a wider area. AI runs the logistics and customer flow.
JobberHousecall ProChatGPT
1
Use Jobber or Housecall Pro to book pickups, track each rug through your process, and automate delivery scheduling and payment.
2
Automate white-glove customer updates.
Copy-paste this prompt
Write a set of automated customer text and email messages for a rug pickup-and-cleaning service: (1) pickup confirmation, (2) 'rug received, here's your estimate and timeline', (3) 'ready for delivery', and (4) a post-delivery review request. Warm, professional, under 350 characters each.
Automating the updates makes a small operation feel white-glove, which is exactly what fine-rug clients pay for.
3
Have AI build a simple intake and condition-report checklist so every rug is documented before you touch it.
What you'll haveA higher-priced plant service with the logistics handled, more rugs, more margin.
3
Win interior-designer and dealer referrals
Why this pays: Designers and rug dealers send a steady stream of high-value work. Landing a few referral relationships is worth more than any ad, recurring premium rugs instead of one-off cleans.
ChatGPTCanvaInstagram
1
Build a short portfolio of before/after fine-rug results and use Canva to make it look premium.
2
Reach out to local designers and dealers.
Copy-paste this prompt
Write a short, professional outreach message introducing my fine-rug cleaning and restoration service to local interior designers and rug dealers. Emphasize careful hand-washing, fiber-safe methods, insurance, and reliable pickup and delivery. Include a one-line follow-up I can send a week later.
Designers protect their reputation, so lead with care, insurance, and reliability, not price.
3
Post before/after transformations on Instagram, tag local design accounts, and let AI write the captions.
What you'll haveA referral pipeline of high-value rugs from people who send repeat work.
4
Teach rug care to justify premium pricing
Why this pays: Educated clients understand why hand-washing a wool rug costs more than a machine carpet clean. Content marketing pre-sells your premium and builds authority that draws better clients.
ChatGPTCapCutCanva
1
Turn common questions (moth prevention, spills, pet stains on wool, off-season storage) into short videos and posts.
2
Batch a month of genuinely useful content.
Copy-paste this prompt
Give me 10 short-form video ideas and scripts (under 45 seconds each) that teach homeowners how to care for wool and Oriental area rugs, each ending with why professional hand-washing matters. Make them specific and genuinely useful, not salesy.
Useful education builds trust; edit the clips in CapCut and keep the advice accurate for delicate fibers.
3
Repurpose the scripts into a printable care card you leave with every delivered rug, designed in Canva.
What you'll haveAuthority that pre-justifies premium pricing and keeps clients coming back.
5
Get found for high-intent local searches
Why this pays: 'Oriental rug cleaning near me' is a high-value search. Ranking free on Google and holding strong reviews wins the affluent clients who don't shop on price.
Google Business ProfilePodiumChatGPT
1
Optimize your Google Business Profile for terms like 'Oriental' and 'area rug cleaning' with photos of fine-rug work; have AI write the description and services.
2
Publish locally targeted posts and descriptions.
Copy-paste this prompt
Write 5 Google Business Profile posts and 8 service descriptions for a fine-rug cleaning business targeting searches like 'wool rug cleaning', 'Oriental rug cleaning near me', and 'antique rug restoration'. Keep each specific and locally relevant to [city].
Match the exact phrases affluent clients search; request reviews via Podium right after delivery.
3
Reply to every review with an AI-drafted response to climb the local rankings.
What you'll haveTop local visibility for the searches that bring high-value rugs to your door.
Your 12-month sequence to the top of the range

How the plays above stack into a path from median pay toward the $55,730 tier.

Month 1
Learn rug ID with AI vision plus physical tests, set up Google Business Profile, and photograph every rug for a portfolio.
Months 2-3
Add pickup-and-delivery with Jobber or Housecall Pro and start value-based pricing on hand-knotted rugs.
Months 3-6
Court interior designers and dealers and post before/after content weekly.
Months 6-12
Build recurring referral relationships and raise prices as your fine-rug reputation grows.
Year 2
Run a specialized rug plant known for fine and antique work, the top of the pay band.
Gear for this job

As an Amazon Associate, PayCrunch earns from qualifying purchases. Links to books and tools are for the job on this page; we only recommend what we’d use in the work.

Niland / Elam, Fundamentals of Industrial Hygiene, 7th ed.

Same live NSC Jan 2021 FIH already on industrial-hygienist / health-inspector / asbestos-removal-worker / environmental-health-specialist / mold-remediation-specialist / automotive-painter / floor-sander / insulation-worker / painter / stucco-mason / landscaper / pest-control-technician / sandblaster / golf-course-superintendent / landscape-foreman / tile-cleaner / environmental-inspector / dry-cleaner / pressure-washer-technician (ASIN 0879123567). This leftover page is BLS Laundry and Dry-Cleaning Workers (SOC 51-6011); play 1 is Identify and price fine rugs with AI; one-rule is AI fiber and dye identification is an educated guess, not a lab test, and the wrong chemistry destroys an irreplaceable rug; confirm fiber with a physical burn or fiber test and check every dye for colorfastness before immersion. Occupational-hygiene instructional text for leftover fiber / dye / chemistry / SDS work — not leftover Gould as the lead (that is gutter-installer / garage-door-installer / drapery-installer / septic-tank-installer) and not leftover CIH as an exam dump. Confirm 0879123567. Live page HTTP 200, no PC_GEAR / amazon.com/dp / tag=paycrunch-20 at 2026-09-18 2:10 AM PT. Source page: pest-control-technician.

What Rug Cleaners earn by state

These are the Bureau of Labor Statistics’ own figures for Laundry and Dry-Cleaning Workers, state by state — not a cost-of-living adjustment applied to the national number. Only states employing at least 500 people in the occupation are shown, because a state median drawn from a handful of workers is noise rather than a signal.

Washington
$39,590
highest of them · +13% vs the national median
Puerto Rico
$22,630
lowest of the 50 states and territories that qualify · -35% vs the national median
The same job pays $16,960 more a year at the median in Washington than in Puerto Rico — 75% higher. That gap is what the Bureau measured, before any question of what it costs to live in either place. The top-of-range figure quoted at the head of this page, $55,730, is a different statistic in a different place: it is the 90th-percentile wage in Hawaii. The state that pays the typical worker most and the state where the best-paid go highest are not always the same one.
Washington$39,590Oregon$37,800California$37,790Colorado$37,680Minnesota$37,580Massachusetts$37,490North Dakota$37,470Maine$37,380

Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025, SOC 51-6011. 50 states and territories clear the 500-employee reporting floor for this occupation; those below it are left out rather than shown with a wide error band.

Free data. Use any of it.

PayCrunch publishes verified, BLS-sourced salary + AI-playbook data on 1,000+ professions — free, no signup.

Frequently asked
Will AI replace rug cleaners?
No, cleaning a hand-knotted silk rug is delicate physical work no machine does. AI helps you identify, price, and market fine rugs so you earn like a specialist instead of a commodity carpet cleaner.
Can I trust AI to identify a rug?
Only as a first guess. Confirm fiber with a burn or fiber test and dye colorfastness before any wash, a wrong call can ruin an irreplaceable rug you'll be liable for.
Do I need a plant to earn more?
It helps: pickup and full-immersion washing commands far more than in-home cleaning. Start with pickup-and-delivery and a dedicated wash space, then grow the operation.
How does AI actually increase my pay?
It sharpens rug identification so you price by value, runs your logistics and marketing, and wins designer referrals, moving you from synthetic-carpet rates to fine-rug rates.
What's the fastest premium to add?
Fine hand-knotted and antique rugs. Learn to identify and safely wash wool and silk and market to designers; that specialization is where $55,730-plus lives.
Methodology & sources
  • Salary (median, 10th, top of the range) — U.S. Bureau of Labor Statistics, OEWS.
  • By state — the Bureau of Labor Statistics’ own state medians, limited to states employing at least 500 people in the occupation. No cost-of-living arithmetic is applied to a wage anywhere on this page.
  • The plays — PayCrunch's own step-by-step guidance using publicly available AI tools. Tool names/URLs are real and current as of August 2026; prompts written to work as-is. Verify any professional output before relying on it.

Sources