# Animal Control Workers

> Handle animals for the purpose of investigations of mistreatment, or control of abandoned, dangerous, or unattended animals.

- **SOC code:** 33-9011.00
- **Canonical URL:** https://singulariki.com/roles/role-33-9011-00
- **Also known as:** ACO (Animal Control Officer), Animal Enforcement Officer, Animal Park Code Enforcement Officer, Animal Services Officer, Animal Attendant, Animal Cruelty Investigator, Animal Instructor Officer, Animal Ordinance Enforcement Officer
- **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):
- Write reports of activities, and maintain files of impoundments and dispositions of animals.
- Investigate reports of animal attacks or animal cruelty, interviewing witnesses, collecting evidence, and writing reports.
- Examine animals for injuries or malnutrition, and arrange for any necessary medical treatment.
- Contact animal owners to inform them that their pets are at animal holding facilities.
- Educate the public about animal welfare, and animal control laws and regulations.
- Remove captured animals from animal-control service vehicles and place animals in shelter cages or other enclosures.
- Capture and remove stray, uncontrolled, or abused animals from undesirable conditions, using nets, nooses, or tranquilizer darts as necessary.
- Answer inquiries from the public concerning animal control operations.
- Prepare for prosecutions related to animal treatment, and give evidence in court.
- Supply animals with food, water, and personal care.
- Issue warnings or citations in connection with animal-related offenses, or contact police to report violations and request arrests.
- Euthanize rabid, unclaimed, or severely injured animals.

**Emerging tasks** (O*NET):
- Deliver educational presentations on wildlife topics, such as animal safety, at schools and community events.
- Pick up deceased animals from roadways and dispose of the animal carcasses.
- Testify at court hearings when citations are contested.
- Transport injured or ill wildlife to rescues.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Public Safety and Security _(knowledge)_
- Law and Government _(knowledge)_
- English Language _(knowledge)_
- Customer and Personal Service _(knowledge)_
- Oral Expression _(ability)_
- Problem Sensitivity _(ability)_
- Oral Comprehension _(ability)_
- Active Listening _(essential_skill)_
- Administrative _(knowledge)_
- Speaking _(essential_skill)_
- Deductive Reasoning _(ability)_
- Critical Thinking _(essential_skill)_

**Skills in demand:**
- English Language _(Common Skill)_
- Active Listening _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Telecommunications _(Specialized Skill)_
- Biology _(Specialized Skill)_
- Writing _(Common Skill)_
- Time Management _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Social Perceptiveness _(Common Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- Microsoft Access _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft SharePoint _(hot technology)_
- Microsoft Visio _(hot technology)_
- Microsoft Windows _(hot technology)_
- Microsoft Word _(hot technology)_
- SAP software _(hot technology)_
- Animal Shelter Manager
- ARK Software Ark Shelter Software

## AI exposure & outlook

- **AI task-overlap index:** 46th percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 32nd percentile (Low) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 40th percentile (Moderate) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 68th percentile (High) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 33rd percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 3.9% growth (About average); 1.3k annual openings; 12.2k → 12.7k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $45,830; 11,790 employed.

## How people actually use AI here

Anthropic Economic Index — measured AI conversations mapped to this occupation's tasks:

- **Automation vs augmentation:** 22% automation, 13% augmentation (usage-weighted).
- **Autonomy median:** 3.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** none.

**Tasks most handed to AI here:**
- Answer inquiries from the public concerning animal control operations. _(1.5% of measured AI use; none)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me answer inquiries from the public concerning animal control operations.

## 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-33-9011-00_