Career card

Locker Room, Coatroom, and Dressing Room Attendants

Also called: Ladies Locker Room Attendant, Locker Attendant, Locker Room Attendant, Spa Attendant

Provide personal items to patrons or customers in locker rooms, dressing rooms, or coatrooms.

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Median pay BLS, 2025$36,300
Openings a year BLS, 2025–354,000
Typical education to start BLSHigh school diploma or equivalent
AI exposure BLS, Aug 2026 Moderate
Projected job growth BLS, 2025–35 +6.4%

What the data says: AI could halve the time on 5 of its 23 rated tasks, and jobs are projected to grow 6.4% by 2035. How to think about this →

About this projection

BLS builds AI into its projections where the research supports it: “BLS generally applies adjustments based on this research conservatively, where there is convincing evidence for a change.”

It also notes a limit: “BLS projection methods are not designed to capture extremely rapid technological change.”

On its AI exposure groups, BLS says exposure “does not imply job loss.”

Recent conditions

  • In 2024, 7.6% of people in this work were unemployed, against 3.8% across all occupations Census ACS 2024, all workers in the Census group “Other entertainment attendants and related workers”
  • From Sep 2025 to Aug 2026, 11.1 hires for every 10 job openings in arts, entertainment, and recreation, which employs about 43% of people in this work, against 7.3 across all industries BLS JOLTS One box per opening, filled for each hire; hires beyond the openings are added in a lighter shade. Higher can mean openings get filled, or that people leave often; lower, that jobs go unfilled, or hiring is slow.

How to read these

Pay compared with all occupations BLS median wages Pays more than 5% of 825 occupations
lowest-paidhighest-paid

Median pay by state BLS OEWS May 2025, state estimates

$22k$51knot published

Median pay in every state
StateMedianMiddle half earnJobs
Alabama$26,440$24,960 to $27,96060
Alaska$26,350$25,380 to $30,720150
Arizona$36,400$34,200 to $39,380650
Arkansas$27,180$26,000 to $27,30050
California$46,560$38,580 to $56,4902,620
Colorado$37,690$35,530 to $48,63080
Connecticut$40,260$35,410 to $48,170110
District of Columbia$50,440$43,440 to $54,28040
Florida$35,290$30,770 to $38,0601,030
Georgia$33,430$29,550 to $38,03090
Hawaii$51,100$47,450 to $56,050190
Illinois$38,890$35,360 to $54,040800
Indiana$26,320$25,100 to $38,06090
Iowa$23,720$23,050 to $26,330280
Kansas$28,520$25,690 to $35,92080
Maine$35,620$35,050 to $36,49090
Maryland$38,840$36,630 to $42,870320
Massachusetts$40,770$35,790 to $44,450190
Michigan$29,640$26,600 to $34,9101,170
Minnesota$29,710$27,850 to $32,560390
Missouri$30,680$28,600 to $37,010540
Montana$50,370$26,700 to $51,31030
Nevada$36,620$31,810 to $38,090510
New Hampshire$34,330$33,950 to $37,610not published
New Jersey$36,650$33,450 to $43,280300
New York$37,420$34,300 to $41,0302,250
North Carolina$33,140$26,340 to $36,990340
Ohio$28,960$26,030 to $36,350480
Oklahoma$21,590$18,200 to $27,630200
Oregon$37,520$35,520 to $37,520not published
Pennsylvania$38,460$28,450 to $55,050580
Rhode Island$41,250$36,440 to $51,44070
South Carolina$33,250$24,960 to $40,570140
Texas$34,100$31,190 to $37,810590
Utah$23,660$22,640 to $28,070190
Virginia$38,010$33,510 to $45,750120
Washington$47,500$39,260 to $52,45060
Wisconsin$28,540$26,730 to $34,160260

Nationally: $36,300. Shades run from the lowest state median to the highest; a territory below that range takes the lightest. How to read this

How AI touches the work

What AI could speed up, task by task, and where people already use it.

AI could halve the time on 5 of its 23 rated tasks

1 · AI alone could halve the time 4 · AI + software built on it could 18 · Not much 1 · Not rated
AI ratingIts main tasks Share of Claude conversations
May 2026
Not much Clean facilities such as floors or locker rooms. Not published
Not much Collect soiled linen or clothing for laundering. Not published
Not much Check supplies to ensure adequate availability, and order new supplies when necessary. Not published
Not much Refer guest problems or complaints to supervisors. Not published
AI + software Provide towels and sheets to clients in public baths, steam rooms, and restrooms. Not published
Not much Monitor patrons' facility use to ensure that rules and regulations are followed, and safety and order are maintained. Not published
See all 24 tasks
Not much Maintain a lost-and-found collection. Not published
Not much Clean and polish footwear, using brushes, sponges, cleaning fluid, polishes, waxes, liquid or sole dressing, and daubers. Not published
AI + software Report and document safety hazards, potentially hazardous conditions, and unsafe practices and procedures. under 0.01%
Not much Assign dressing room facilities, locker space, or clothing containers to patrons of athletic or bathing establishments. Not published
AI alone Answer customer inquiries or explain cost, availability, policies, and procedures of facilities. 0.56%
Not much Maintain inventories of clothing or uniforms, accessories, equipment, or linens. Not published
Not much Issue gym clothes, uniforms, towels, athletic equipment, and special athletic apparel. Not published
Not much Operate washing machines and dryers to clean soiled apparel and towels. Not published
Not much Procure beverages, food, and other items as requested. Not published
Not much Provide assistance to patrons by performing duties such as opening doors or carrying bags. Not published
Not much Activate emergency action plans and administer first aid, as necessary. Not published
Not much Store personal possessions for patrons, issue claim checks for articles stored, and return articles on receipt of checks. Not published
Not much Operate controls that regulate temperatures or room environments. Not published
AI + software Attend to needs of athletic teams in clubhouses. Not published
Not much Provide or arrange for services such as clothes pressing, cleaning, or repair. Not published
AI + software Stencil identifying information on equipment. Not published
Not rated Maintain or repair athletic equipment. Not published
Not much Set up various apparatus or athletic equipment. Not published

Ordered by how important O*NET's respondents rate each task (1 to 5) times the share who say it is part of their job. The ordering is ours. 2 of the 24 have a published share of Claude conversations; “not published” means too few conversations for Anthropic to publish a figure.

Where people already use AI

The tasks above say what AI could speed up. This shows what people are using it for. Its 24 tasks fall under 20 work activities that many occupations share, and Microsoft counted how often each one came up in 200,000 conversations with its Copilot assistant in 2024.

Tasks AI could speed up5 of 23 rated tasksEloundou et al. ratings (2023)
Its activities among the 50 people ask AI for help with most5 of 20 activities
  • #3 Respond to customer problems or inquiries
  • #12 Explain regulations, policies, or procedures
  • #19 Provide general assistance to others, such as customers, patrons, or motorists
  • and 2 more, in the table below
Microsoft Copilot (2024), ranked among all 332 activities. The cut-off of 50 is ours.
Work activity This occupation's tasks under it People asked AI for help
in 10,000 conversations
AI did it for them
in 10,000 conversations
Distribute materials, supplies, or resources 1.10#229 12#62
Respond to customer problems or inquiries 879#3 1,565#1
Maintain facilities or equipment 7.62#106 1.58#138
Clean workpieces, finished products, or other objects 4.02#145 1.20#155
Clean tools, equipment, facilities, or work areas 3.36#158 1.16#157
Move materials, equipment, or supplies 0.65#261 0.09#272
Explain regulations, policies, or procedures 131#12 119#15
Provide general assistance to others, such as customers, patrons, or motorists 102#19 1,104#4
Show all 20 activities
Assist others to access additional services or resources 72#24 327#7
Purchase goods or services 47#36 0.39#220
Set up equipment 20#58 4.69#95
Coordinate with others to resolve problems 14#75 5.59#81
Monitor individual behavior or performance 5.87#114 1.22#153
Prepare reports of operational or procedural activities 4.23#140 2.99#113
Mark materials or objects for identification 3.28#160 0.80#172
Repair tools or equipment 1.87#202 0.18#246
Monitor resources or inventories 1.38#220 0.44#214
Replenish inventories of materials, equipment, or products 0.43#276 0.10#268
Stock supplies or products 0.28#288 0.02#305
Administer emergency medical treatment 0.27#290 0.02#310
Task: AI alone Task: AI + software Task: not much #: rank among all 332 activities Microsoft measured (#1 = most common; activities that never came up share last place, shown as “tied”)
Where the two sources differ: “Distribute materials, supplies, or resources” holds 1 task rated AI + software, yet people asked AI for help with it in 1.10 of every 10,000 conversations, #229 of 332.

How people in this work use Claude

What people in this work made with Claude % of conversations

  • An explanation or answer41%
  • Advice or a recommendation11%
  • An email or message6%
  • An analysis or summary2%
  • A document or report1%

How they worked with Claude

65% handed the task off35% worked on it together

18% of these conversations were about work. Anthropic Economic Index, May 2026.

How to read this

Work activities come from O*NET, which links every task to the broader activities it involves. Microsoft's figures are for the activity across everyone who used Copilot, not for locker room, coatroom, and dressing room attendants specifically. Copilot is a general chat assistant; dedicated coding tools are not included, so programming help is under-counted here. Activities are listed by how many of this occupation's tasks fall under them.

The task ratings say whether AI could halve the time a task takes: on its own (“AI alone”), or with software built on it (“AI + software”). They were made by people in 2023 (Eloundou et al.). Claude's share is the task's share of all Claude.ai conversations in May 2026; Anthropic doesn't publish a task with too few conversations. None of these add up to the BLS exposure group, which combines five research measures.

More in the Guide: task ratings · task order · work activities · Copilot figures · Claude

High exposure doesn't mean fewer jobs

BLS projects most occupations in its two most exposed groups to grow: 141 of 206 rated Very high and 165 of 206 rated High. Each dot is one of the 831 occupations BLS rates.

AI exposure and projected job growth, 831 occupationsLow exposure: 134 of 213 occupations projected to grow. Moderate exposure: 151 of 206 occupations projected to grow. High exposure: 165 of 206 occupations projected to grow. Very high exposure: 141 of 206 occupations projected to grow.-20%-15%-10%-5%0%+5%+10%+15%+20%+25%Low134 of 213 growingModerate151 of 206 growingHigh165 of 206 growingVery high141 of 206 growing11 occupations outside −20% to +25% are drawn at the edge. Click a dot to see that occupation.Locker room, coatroom, and dressing room attendants: +6.4%Locker Room, Coatroom, and Dressing Room AttendantsAI exposure and projected job growth, 831 occupationsLow exposure: 134 of 213 occupations projected to grow. Moderate exposure: 151 of 206 occupations projected to grow. High exposure: 165 of 206 occupations projected to grow. Very high exposure: 141 of 206 occupations projected to grow.-20%-15%-10%-5%0%+5%+10%+15%+20%+25%Low134 of 213Moderate151 of 206High165 of 206Very high141 of 20611 occupations outside −20% to +25% are drawn at the edge. Tap a dot.Locker room, coatroom, and dressing room attendants: +6.4%Locker Room, Coatroom, and Dressing Room Attendants

Career moves into and out of this occupation

From moves between occupations found in online resumes, 2002–2016. Career changes only: a first job after school isn't a move.

Where people moved next

of 15,864 moves out

  1. 1 Retail Salespersons Very high -0.3% 5%
  2. 2 Customer Service Representatives Very high -5.3% 4%
  3. 3 Cashiers High -6.5% 4%
  4. 4 Waiters and Waitresses Moderate +2.0% 3%
  5. 5 Managers, All Other (2010 group) an older group BLS has since split; no exposure group today 3%

Where people moved in from

of 12,521 moves in

  1. 1 Cashiers High -6.5% 6%
  2. 2 Retail Salespersons Very high -0.3% 5%
  3. 3 Waiters and Waitresses Moderate +2.0% 5%
  4. 4 Customer Service Representatives Very high -5.3% 4%
  5. 5 Fast Food and Counter Workers Moderate +5.8% 3%

Resumes over-represent younger, white-collar job-seekers and moves into management. Schubert, Stansbury and Taska (resume data).

Education and training for the occupation

Education people in it hold

O*NET survey of workers in this occupation

  • 20% less than high school
  • 64% high school
  • 1% some college
  • 4% associate's
  • 11% research doctorate

O*NET 31.0 survey of workers in this occupation · 28 people answered.

Census survey (American Community Survey)

  • 17% less than high school
  • 29% high school
  • 29% some college
  • 7% associate's
  • 16% bachelor's
  • 2% master's

Census ACS 2024, all workers in the Census group “Other entertainment attendants and related workers” · 3,124 people surveyed.

Why the two can differ

O*NET asks about 20 people in each occupation, which makes its shares uncertain, but it reports the exact occupation and counts certificates. The Census survey reaches thousands, but it groups some occupations together and counts degrees only. More in the Guide

Median pay by highest degree full-time, year-round · Census ACS 2024, all workers in the Census group “Other entertainment attendants and related workers”

Jobs that require a credential BLS Occupational Requirements Survey 2023

<10% this occupation

45.3% all occupations

By kindThis occupationAll occupations
a licensenot published
a certificationnot published
an educational certificatenot published

Share of jobs whose employer requires it. BLS doesn't say which credential. How to read this

Look up certifications, training and licenses U.S. Department of Labor

These open in a new tab and send only the occupation's public code. More in the Guide

See where your own career could go Start by uploading your resume Browse careers

BLS AI exposure categories (Aug 2026) · BLS Employment Projections 2025–35 · O*NET 31.0 · Task ratings: Eloundou et al., Science (2024) · Microsoft "Working with AI" v1.1 · Anthropic Economic Index (2026-06-26) · Schubert, Stansbury and Taska · NCES CIP–SOC · Census ACS 2024 · BLS JOLTS

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