Occupations/35-9011.00
Dining Room and Cafeteria Attendants and Bartender Helpers
Facilitate food service. Clean tables; remove dirty dishes; replace soiled table linens; set tables; replenish supply of clean linens, silverware, glassware, and dishes; supply service bar with food; and serve items such as water, condiments, and coffee to patrons.
Usually a high school diploma, plus some experience or short training.
AI automation risk
50%
Mixed exposure
Human characteristics
27%
Fewer uniquely human demands
Task orientation
49%
Mixed exposure
A day in this job
- Mostly routine
Scrape and stack dirty dishes and carry dishes and other tableware to kitchens for cleaning.
- Mostly routine
Set tables with clean linens, condiments, or other supplies.
- Task
Run cash registers.
The tasks we can read here lean routine. That sits next to the AI risk rank — it is not a forecast that the job disappears.
Core tasks
- 01Run cash registers.
- 02Serve ice water, coffee, rolls, or butter to patrons.
- 03Scrape and stack dirty dishes and carry dishes and other tableware to kitchens for cleaning.
- 04Wipe tables or seats with dampened cloths or replace dirty tablecloths.
- 05Set tables with clean linens, condiments, or other supplies.
- 06Greet and seat customers.
Model drivers (O*NET 1–5)
- Repeating same tasks2.25
- Degree of automation1.69
- Time sitting1.27
- Originality (ability)2.00
- Conflict situations2.96
- Hands-on objects/tools4.52
- Outdoors / weather1.31
- Disease exposure1.73
- Decision freedom3.12
Top abilities
- Trunk Strength3.50
- Stamina3.12
- Manual Dexterity3.12
- Arm-Hand Steadiness3.12
- Static Strength3.00
- Speech Recognition3.00
- Speech Clarity3.00
- Oral Expression3.00
Essential skills
- Reading Comprehension2.38
- Active Listening3.00
- Writing2.00
- Speaking2.88
- Mathematics1.88
- Science1.00
- Critical Thinking2.75
- Active Learning2.12
- Learning Strategies2.00
- Monitoring2.88
CIP matches
No schools in this geography
This extract covers 99 campuses. Widen the location filter to State or National, or pick a nearby city in the dataset.
