# Animal Trainers

> Train animals for riding, harness, security, performance, or obedience, or for assisting persons with disabilities. Accustom animals to human voice and contact, and condition animals to respond to commands. Train animals according to prescribed standards for show or competition. May train animals to carry pack loads or work as part of pack team.

- **SOC code:** 39-2011.00
- **Canonical URL:** https://singulariki.com/roles/role-39-2011-00
- **Also known as:** Dog Trainer, Guide Dog Mobility Instructor (GDMI), Horse Trainer, Trainer, Agility Instructor, Dog Obedience Instructor, Guide Dog Instructor, Guide Dog Trainer
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Train horses or other equines for riding, harness, show, racing, or other work, using knowledge of breed characteristics, training methods, performance standards, and the peculiarities of each animal.
- Cue or signal animals during performances.
- Talk to or interact with animals to familiarize them to human voices or contact.
- Conduct training programs to develop or maintain desired animal behaviors for competition, entertainment, obedience, security, riding, or related purposes.
- Use oral, spur, rein, or hand commands to condition horses to carry riders or to pull horse-drawn equipment.
- Retrain horses to break bad habits, such as kicking, bolting, or resisting bridling or grooming.
- Observe animals' physical conditions to detect illness or unhealthy conditions requiring medical care.
- Feed or exercise animals or provide other general care, such as cleaning or maintaining holding or performance areas.
- Train dogs in human assistance or property protection duties.
- Evaluate animals to determine their temperaments, abilities, or aptitude for training.
- Administer prescribed medications to animals.
- Keep records documenting animal health, diet, or behavior.

**Emerging tasks** (O*NET):
- Teach owners how to train their dogs.
- Teach people with visual impairments to use guide dogs.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Customer and Personal Service _(knowledge)_
- Instructing _(transferable_skill)_
- Problem Sensitivity _(ability)_
- Oral Expression _(ability)_
- Education and Training _(knowledge)_
- Speaking _(essential_skill)_
- Learning Strategies _(essential_skill)_
- Critical Thinking _(essential_skill)_
- Oral Comprehension _(ability)_
- Active Learning _(essential_skill)_
- Information Ordering _(ability)_
- Speech Clarity _(ability)_

**Skills in demand:**
- Instructing _(Specialized Skill)_
- Learning Strategies _(Specialized Skill)_
- Critical Thinking _(Common Skill)_
- Information Ordering _(Specialized Skill)_
- Active Learning _(Common Skill)_
- Psychology _(Specialized Skill)_
- Speech Recognition _(Specialized Skill)_
- Deductive Reasoning _(Common Skill)_
- Active Listening _(Common Skill)_
- English Language _(Common Skill)_
- Time Management _(Common Skill)_
- Social Perceptiveness _(Common Skill)_

**Tools & technology:**
- Atlassian JIRA _(hot technology)_
- Epic Systems _(hot technology)_
- Facebook _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Project _(hot technology)_
- Microsoft Windows _(hot technology)_
- Microsoft Word _(hot technology)_
- Oracle Database _(hot technology)_
- Oracle PeopleSoft _(hot technology)_

## AI exposure & outlook

- **AI task-overlap index:** 15th percentile (Low) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 21st percentile (Low) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 18th percentile (Low) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 14th percentile (Low) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 29th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 5.1% growth (About average); 7.1k annual openings; 47.3k → 49.8k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $38,750; 20,110 employed.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-39-2011-00_