How to become a Gambling Change Persons and Booth Cashier
Official title: Gambling Change Persons and Booth Cashiers
Also called: Booth Cashier, Cage Cashier, Cashier, Casino Banker, Casino Cashier, Change Person, Slot Attendant, Slot Floor Person, Slot Technician, Vault Cashier
Exchange coins, tokens, and chips for patrons' money. May issue payoffs and obtain customer's signature on receipt. May operate a booth in the slot machine area and furnish change persons with money bank at the start of the shift, or count and audit money in drawers.
Main tasks
- Keep accurate records of monetary exchanges, authorization forms, and transaction reconciliations.
- Exchange money, credit, tickets, or casino chips and make change for customers.
- Count money and audit money drawers.
- Check identifications to verify age of players.
- Maintain cage security according to rules.
- Reconcile daily summaries of transactions to balance books.
How to become one
Typical education to start: No formal educational credential
Ways in
- Licence: A licence is required in 10 states.
Pay · Outlook · AI and this job
- Median pay: $36,220 a year The middle half earn $29,630 to $41,530.
- About 22,000 people work in this job now, and about 21,600 are projected by 2035. (-1.9%)
- People use generative AI for relatively little of this work so far. Microsoft Research rates its AI applicability as low.
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Questions people ask
How much does a Gambling Change Persons and Booth Cashier earn in the US?
Median full-time pay is $36,220 a year (U.S. Bureau of Labor Statistics). The middle half earn $29,630 to $41,530.
Is a Gambling Change Persons and Booth Cashier a growing career in the US?
Employment is projected to stay about the same by 2035: about 22,000 people now and 21,600 later (U.S. Bureau of Labor Statistics).
Do you need a degree to become a Gambling Change Persons and Booth Cashier?
Usually not. Only 14% of people in this job hold a bachelor's degree or higher.
Will AI change the work of a Gambling Change Persons and Booth Cashier?
People use generative AI for relatively little of this work so far. Microsoft Research rates its AI applicability as low.
Sources
- Microsoft Research: Working with AI: AI applicability by occupation (2025-12-22 (built on O*NET 29.0)), CC BY 4.0, retrieved 2026-10-03
- U.S. Bureau of Labor Statistics: Employment Projections (2025-35 (released 2026-08-27)), Public domain (BLS), retrieved 2026-10-03
- U.S. Bureau of Labor Statistics: Occupational Employment and Wage Statistics (May 2025), Public domain (BLS), retrieved 2026-10-03
Updated 2026-10-03
This page includes information from the O*NET 31.0 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET is a trademark of USDOL/ETA.