Train service staff.

Train service staff. is a detailed work activity in O*NET — a concrete unit of work shared across 14 occupations and seen in 15 occupation-specific tasks. It rolls up into the broader work activity Train others on operational or work procedures. in Training and Teaching Others .

Detailed work activities are the most granular shared layer in O*NET's work-activity hierarchy (Generalized → Intermediate → Detailed → occupation-specific task). The figures below describe how this activity shows up across the economy and what independent studies measure about AI and this kind of work — not a prediction that the work will be automated.

AI exposure

Of the 15 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 3 (20%) are flagged as directly exposed to language models (E1) or exposed via model-powered tools (E2).

Exposure estimates overlap with model capabilities — whether a model could speed the task up — not whether the work will be done by software. Observed AI use is augmentation and assistance today, not jobs replaced.

Member tasks

Occupation-specific tasks O*NET maps to this detailed work activity, most important first.

• Train workers in proper operational procedures and functions and explain company policies. · First-Line Supervisors of Personal Service Workers · importance 4.5 · no direct exposure
• Train or supervise other hairstylists, hairdressers, and assistants. · Hairdressers, Hairstylists, and Cosmetologists · importance 4.4 · no direct exposure
• Supervise, train, and evaluate residence hall staff, including resident assistants, participants in work-study programs, and other student workers. · Residential Advisors · importance 4.3 · no direct exposure
• Train new dealers. · Gambling Dealers · importance 4.2 · no direct exposure
• Inform staff of job responsibilities, performance expectations, client service standards, or corporate policies and guidelines. · Spa Managers · importance 4.0 · direct LLM exposure
• Supervise and coordinate the work activities of personnel, such as training staff members and assigning work duties. · Recreation Workers · importance 4.0 · no direct exposure
• Train staff in the use or sale of products, programs, or activities. · Spa Managers · importance 4.0 · no direct exposure
• Manage funeral home operations, including the hiring, training, or supervision of embalmers, funeral attendants, or other staff. · Morticians, Undertakers, and Funeral Arrangers · importance 3.8 · no direct exposure
• Train other guides and volunteers. · Tour Guides and Escorts · importance 3.8 · no direct exposure
• Perform general personnel functions, such as supervision, training, and scheduling. · Childcare Workers · importance 3.8 · exposure with tools
• Train workers in company procedures or policy. · Entertainment and Recreation Managers, Except Gambling · importance 3.8 · no direct exposure
• Participate in the hiring, training, scheduling, or supervision of alteration workers. · Costume Attendants · importance 3.4 · no direct exposure
• Train workers in proper operational procedures and functions and explain company policies. · First-Line Supervisors of Entertainment and Recreation Workers, Except Gambling Services · no direct exposure
• Train workers in proper operational procedures and functions and explain company policies. · First-Line Supervisors of Passenger Attendants · no direct exposure
• Train, supervise, schedule, and evaluate workers. · First-Line Supervisors of Gambling Services Workers · exposure with tools

Occupations that perform this

• First-Line Supervisors of Personal Service Workers
• Hairdressers, Hairstylists, and Cosmetologists
• Residential Advisors
• Gambling Dealers
• Spa Managers
• Recreation Workers
• Morticians, Undertakers, and Funeral Arrangers
• Tour Guides and Escorts
• Childcare Workers
• Entertainment and Recreation Managers, Except Gambling
• Costume Attendants
• First-Line Supervisors of Gambling Services Workers
• First-Line Supervisors of Entertainment and Recreation Workers, Except Gambling Services
• First-Line Supervisors of Passenger Attendants

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

Data compiled June 2, 2026. Figures are estimates, not advice.

@misc{singulariki-train-service-staff,
  title  = {Train service staff.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/detailed-activities/train-service-staff}
}