Evaluate training programs, instructors, or materials.
Detailed work activity
Evaluate training programs, instructors, or materials. is a detailed work activity in O*NET — a concrete unit of work shared across 4 occupations and seen in 7 occupation-specific tasks. It rolls up into the broader work activity Evaluate programs, practices, or processes. in Judging the Qualities of Objects, Services, or People .
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 7 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 7 (100%) are flagged as directly exposed to language models (E1) or exposed via model-powered tools (E2).
The Anthropic Economic Index observes real AI use on 3 of these tasks, with a mean mapped-usage share of 0.008% per task.
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.
- Monitor, evaluate, or record training activities or program effectiveness. · Training and Development Specialists · importance 4.4 · exposure with tools
- Evaluate instructor performance and the effectiveness of training programs, providing recommendations for improvement. · Training and Development Managers · importance 4.4 · exposure with tools
- Evaluate training materials prepared by instructors, such as outlines, text, or handouts. · Training and Development Specialists · importance 4.0 · direct LLM exposure
- Implement and evaluate staff, volunteer, or community training programs. · Social and Community Service Managers · importance 3.9 · exposure with tools
- Complete laboratory projects prior to assigning them to students so that any needed modifications can be made. · Teaching Assistants, Postsecondary · importance 3.8 · direct LLM exposure
- Supervise, evaluate, or refer instructors to skill development classes. · Training and Development Specialists · importance 3.4 · exposure with tools
- Review and evaluate training and apprenticeship programs for compliance with government standards. · Training and Development Managers · importance 3.3 · exposure with tools
Occupations that perform this
- Training and Development Specialists
- Training and Development Managers
- Social and Community Service Managers
- Teaching Assistants, Postsecondary
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
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Evaluate training programs, instructors, or materials.." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/detailed-activities/evaluate-training-programs-instructors-or-materials
Singulariki. (2026). Evaluate training programs, instructors, or materials.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/detailed-activities/evaluate-training-programs-instructors-or-materials
@misc{singulariki-evaluate-training-programs-instructors-or-materials,
title = {Evaluate training programs, instructors, or materials.},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
url = {https://singulariki.com/detailed-activities/evaluate-training-programs-instructors-or-materials}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.