Train workers in farming, forestry, or hunting techniques.
Detailed work activity
Train workers in farming, forestry, or hunting techniques. is a detailed work activity in O*NET — a concrete unit of work shared across 2 occupations and seen in 4 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 4 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 0 (0%) 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 tree felling or bucking, operation of tractors or loading machines, yarding or loading techniques, or safety regulations. · First-Line Supervisors of Farming, Fishing, and Forestry Workers · importance 4.3 · no direct exposure
- Train workers in spawning, rearing, cultivating, and harvesting methods, and in the use of equipment. · First-Line Supervisors of Farming, Fishing, and Forestry Workers · importance 4.2 · no direct exposure
- Train workers in techniques such as planting, harvesting, weeding, or insect identification and in the use of safety measures. · First-Line Supervisors of Farming, Fishing, and Forestry Workers · importance 4.1 · no direct exposure
- Teach or guide individuals or groups unfamiliar with specific hunting methods or types of prey. · Fishing and Hunting Workers · importance 3.7 · no direct exposure
Occupations that perform this
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.
Cite this page
Singulariki. "Train workers in farming, forestry, or hunting techniques.." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/detailed-activities/train-workers-in-farming-forestry-or-hunting-techniques
Singulariki. (2026). Train workers in farming, forestry, or hunting techniques.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/detailed-activities/train-workers-in-farming-forestry-or-hunting-techniques
@misc{singulariki-train-workers-in-farming-forestry-or-hunting-techniques,
title = {Train workers in farming, forestry, or hunting techniques.},
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-workers-in-farming-forestry-or-hunting-techniques}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.