# Slaughterers and Meat Packers

> Perform nonroutine or precision functions involving the preparation of large portions of meat. Work may include specialized slaughtering tasks, cutting standard or premium cuts of meat for marketing, making sausage, or wrapping meats. Work typically occurs in slaughtering, meat packing, or wholesale establishments.

- **SOC code:** 51-3023.00
- **Canonical URL:** https://singulariki.com/roles/role-51-3023-00
- **Also known as:** Boning Room Worker, Meat Packer, Meat Processor, Meat Wrapper, Meat Packager, Saw Man, Side Puller, Wrapper
- **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):
- Remove bones, and cut meat into standard cuts in preparation for marketing.
- Sever jugular veins to drain blood and facilitate slaughtering.
- Tend assembly lines, performing a few of the many cuts needed to process a carcass.
- Shackle hind legs of animals to raise them for slaughtering or skinning.
- Slit open, eviscerate, and trim carcasses of slaughtered animals.
- Stun animals prior to slaughtering.
- Skin sections of animals or whole animals.
- Cut, trim, skin, sort, and wash viscera of slaughtered animals to separate edible portions from offal.
- Shave or singe and defeather carcasses, and wash them in preparation for further processing or packaging.
- Trim head meat, and sever or remove parts of animals' heads or skulls.
- Saw, split, or scribe carcasses into smaller portions to facilitate handling.
- Grind meat into hamburger, and into trimmings used to prepare sausages, luncheon meats, and other meat products.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Arm-Hand Steadiness _(ability)_
- Customer and Personal Service _(knowledge)_
- Food Production _(knowledge)_
- Finger Dexterity _(ability)_
- Production and Processing _(knowledge)_
- Manual Dexterity _(ability)_
- Near Vision _(ability)_
- English Language _(knowledge)_
- Control Precision _(ability)_
- Static Strength _(ability)_
- Trunk Strength _(ability)_
- Oral Comprehension _(ability)_

**Skills in demand:**
- Finger Dexterity _(Common Skill)_
- English Language _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Information Ordering _(Specialized Skill)_
- Mathematics _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Active Listening _(Common Skill)_
- Social Perceptiveness _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Visualization _(Specialized Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- AccountMate Software AccountMate
- AgInfoLink Meat Inventory Tracking System MITS
- Integrated Management Systems Food Connex Cloud
- RFID software
- Second Foundation NaviMeat
- Traceability software

## AI exposure & outlook

- **AI task-overlap index:** 8th percentile (Low) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 1st percentile (Low) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 3rd percentile (Low) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 32nd percentile (Low) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 51st percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 2.2% growth (About average); 8.4k annual openings; 69.6k → 71.2k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $39,790; 67,500 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/
- **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-51-3023-00_