# 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.
- **Entity Type:** role
- **Schema Version:** role.v1
- **Soc Code:** 51-3023.00
- **Summary:** 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.

## Aliases

- Boning Room Worker
- Meat Packer
- Meat Processor
- Meat Wrapper
- Meat Packager
- Saw Man
- Side Puller
- Wrapper
- Animal Killer
- Animal Sticker
- Animal Stunner
- Beef Killer

## Tasks

| Text | Type | Iwa |
| --- | --- | --- |
| Remove bones, and cut meat into standard cuts in preparation for marketing. | Supplemental | 4.A.3.a.2.c |
| Sever jugular veins to drain blood and facilitate slaughtering. | Supplemental | 4.A.3.a.2.ac |
| Tend assembly lines, performing a few of the many cuts needed to process a carcass. | Supplemental | 4.A.3.a.2.c |
| Shackle hind legs of animals to raise them for slaughtering or skinning. | Supplemental | 4.A.3.a.2.ac |
| Slit open, eviscerate, and trim carcasses of slaughtered animals. | Supplemental | 4.A.3.a.2.c |
| Stun animals prior to slaughtering. | Supplemental | 4.A.3.a.2.ac |
| Skin sections of animals or whole animals. | Supplemental | 4.A.3.a.2.ac |
| Cut, trim, skin, sort, and wash viscera of slaughtered animals to separate edible portions from offal. | Supplemental | 4.A.3.a.1.h |
| Shave or singe and defeather carcasses, and wash them in preparation for further processing or packaging. | Supplemental | 4.A.3.a.1.h |
| Trim head meat, and sever or remove parts of animals' heads or skulls. | Supplemental | 4.A.3.a.2.c |
| Saw, split, or scribe carcasses into smaller portions to facilitate handling. | Supplemental | 4.A.3.a.2.ac |
| Grind meat into hamburger, and into trimmings used to prepare sausages, luncheon meats, and other meat products. | Supplemental | 4.A.3.a.2.c |

## Emerging Tasks


## Activities

| Name | Iwa |
| --- | --- |
| Cut meat products. | 4.A.3.a.2.c |
| Clean materials to prepare them for production. | 4.A.3.a.1.h |
| Process animal carcasses. | 4.A.3.a.2.ac |
| Slaughter animals. | 4.A.3.a.2.ac |
| Prepare meat products for sale or consumption. | 4.A.3.a.2.c |

## Capabilities

| Name | Family | Value |
| --- | --- | --- |
| Arm-Hand Steadiness | ability | 3.75 |
| Customer and Personal Service | knowledge | 3.62 |
| Food Production | knowledge | 3.43 |
| Finger Dexterity | ability | 3.38 |
| Production and Processing | knowledge | 3.29 |
| Manual Dexterity | ability | 3.25 |
| Near Vision | ability | 3.25 |
| English Language | knowledge | 3.12 |
| Control Precision | ability | 3.12 |
| Static Strength | ability | 3.12 |
| Trunk Strength | ability | 3.12 |
| Oral Comprehension | ability | 3 |
| Oral Expression | ability | 2.88 |
| Problem Sensitivity | ability | 2.88 |
| Multilimb Coordination | ability | 2.88 |
| Extent Flexibility | ability | 2.88 |
| Law and Government | knowledge | 2.79 |
| Speaking | essential_skill | 2.75 |
| Information Ordering | ability | 2.75 |
| Category Flexibility | ability | 2.75 |
| Reaction Time | ability | 2.75 |
| Speech Recognition | ability | 2.75 |
| Mathematics | knowledge | 2.69 |
| Active Listening | essential_skill | 2.62 |
| Deductive Reasoning | ability | 2.62 |
| Inductive Reasoning | ability | 2.62 |
| Selective Attention | ability | 2.62 |
| Dynamic Strength | ability | 2.62 |
| Speech Clarity | ability | 2.62 |
| Administrative | knowledge | 2.5 |
| Stamina | ability | 2.5 |
| Administration and Management | knowledge | 2.47 |
| Sales and Marketing | knowledge | 2.41 |
| Public Safety and Security | knowledge | 2.39 |
| Critical Thinking | essential_skill | 2.38 |
| Social Perceptiveness | transferable_skill | 2.38 |
| Wrist-Finger Speed | ability | 2.38 |
| Monitoring | essential_skill | 2.25 |
| Operations Monitoring | transferable_skill | 2.25 |
| Perceptual Speed | ability | 2.25 |

## Skills

| Name | Type |
| --- | --- |
| 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 |
| Depth Perception | Common Skill |
| Time Management | Common Skill |
| Learning Strategies | Specialized Skill |
| Active Learning | Common Skill |
| Biology | Specialized Skill |
| Systems Analysis | Specialized Skill |
| Reading Comprehension | Common Skill |
| Instructing | Specialized Skill |
| Foreign Language | Common Skill |
| Complex Problem Solving | Common Skill |
| Chemistry | Specialized Skill |
| Writing | Common Skill |
| Negotiation | Common Skill |
| Physics | Specialized Skill |
| Geography | Specialized Skill |
| Psychology | Specialized Skill |
| Equipment Selection | Specialized Skill |
| Equipment Maintenance | Specialized Skill |
| Telecommunications | Specialized Skill |
| Installation | Specialized Skill |
| Accounting Software | Specialized Skill |

## Tools

| Example | Category | Hot | In Demand |
| --- | --- | --- | --- |
| Microsoft Excel | Spreadsheet software | yes | no |
| Microsoft Office software | Office suite software | yes | no |
| AccountMate Software AccountMate | Accounting software | no | no |
| AgInfoLink Meat Inventory Tracking System MITS | Inventory management software | no | no |
| Integrated Management Systems Food Connex Cloud | Enterprise resource planning ERP software | no | no |
| RFID software | Inventory management software | no | no |
| Second Foundation NaviMeat | Enterprise resource planning ERP software | no | no |
| Traceability software | Inventory management software | no | no |

## Work Context

| Name | Value |
| --- | --- |
| Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets | 4.84 |
| Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls | 4.66 |
| Work With or Contribute to a Work Group or Team | 4.56 |
| Spend Time Standing | 4.34 |
| Spend Time Making Repetitive Motions | 4.28 |
| Pace Determined by Speed of Equipment | 4.2 |
| Indoors, Environmentally Controlled | 4.17 |
| Face-to-Face Discussions with Individuals and Within Teams | 4.12 |
| Contact With Others | 3.93 |
| Health and Safety of Other Workers | 3.93 |
| Physical Proximity | 3.9 |
| Importance of Being Exact or Accurate | 3.79 |
| Exposed to Minor Burns, Cuts, Bites, or Stings | 3.65 |
| Coordinate or Lead Others in Accomplishing Work Activities | 3.55 |
| Consequence of Error | 3.53 |
| Determine Tasks, Priorities and Goals | 3.43 |
| Work Outcomes and Results of Other Workers | 3.4 |
| Deal With External Customers or the Public in General | 3.3 |
| Exposed to Very Hot or Cold Temperatures | 3.15 |
| Freedom to Make Decisions | 3.12 |
| Spend Time Bending or Twisting Your Body | 3.07 |
| Importance of Repeating Same Tasks | 3.07 |
| Wear Specialized Protective or Safety Equipment such as Breathing Apparatus, Safety Harness, Full Protection Suits, or Radiation Protection | 3.05 |
| Exposed to Hazardous Equipment | 3.03 |
| Level of Competition | 3 |
| Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable | 2.97 |
| Time Pressure | 2.97 |
| Frequency of Decision Making | 2.87 |
| Exposed to Contaminants | 2.86 |
| Impact of Decisions on Co-workers or Company Results | 2.78 |
| Written Letters and Memos | 2.31 |
| Spend Time Walking or Running | 2.22 |
| Public Speaking | 2.1 |
| Dealing With Unpleasant, Angry, or Discourteous People | 2.06 |
| Telephone Conversations | 2.05 |
| Exposed to High Places | 2.05 |
| Indoors, Not Environmentally Controlled | 1.97 |
| Degree of Automation | 1.9 |
| Exposed to Extremely Bright or Inadequate Lighting Conditions | 1.74 |
| Exposed to Cramped Work Space, Awkward Positions | 1.72 |

## Preparation

- **Job Zone:** 2
- **Job Zone Name:** Job Zone 1-2: Very Little to Some Preparation Needed
- **Education:** Usually requires a high school diploma or GED, though some occupations may not.
- **Experience:** Some occupations may need little or no previous experience; others require several months to a year of experience. For example, landscaping and groundskeeping workers might require very little training or previous experience, while agricultural equipment operators can benefit from on-the job training.
- **Svp Range:** (Below 6.0)

### Education Distribution

| Label | Percentage |
| --- | --- |
| High School Diploma | 60.8 |
| Less than a High School Diploma | 28.63 |
| Some College Courses | 10.57 |

## Person Fit

| Name | Family | Value |
| --- | --- | --- |
| Realistic | career_interest_type | 6.62 |
| Physical/Manual Labor | specific_interest_area | 6.16 |
| Conventional | career_interest_type | 3.53 |
| Investigative | career_interest_type | 2.24 |
| Enterprising | career_interest_type | 2.12 |
| Agriculture | specific_interest_area | 2 |
| Attention to Detail | work_style | 1.81 |
| Dependability | work_style | 1.76 |
| Social | career_interest_type | 1.67 |
| Culinary Art | specific_interest_area | 1.46 |
| Stress Tolerance | work_style | 1.43 |
| Transportation/Machine Operation | specific_interest_area | 1.4 |
| Artistic | career_interest_type | 1.31 |
| Life Science | specific_interest_area | 1.23 |
| Management/Administration | specific_interest_area | 1.17 |
| Cautiousness | work_style | 1.17 |

## Related Roles

| Soc Code | Slug | Title | Tier |
| --- | --- | --- | --- |
| 51-3022.00 | role-51-3022-00 | Meat, Poultry, and Fish Cutters and Trimmers | Primary-Short |
| 51-3021.00 | role-51-3021-00 | Butchers and Meat Cutters | Primary-Short |
| 45-2093.00 | role-45-2093-00 | Farmworkers, Farm, Ranch, and Aquacultural Animals | Primary-Short |
| 45-2041.00 | role-45-2041-00 | Graders and Sorters, Agricultural Products | Primary-Short |
| 35-2021.00 | role-35-2021-00 | Food Preparation Workers | Primary-Short |
| 45-2021.00 | role-45-2021-00 | Animal Breeders | Primary-Long |
| 53-7064.00 | role-53-7064-00 | Packers and Packagers, Hand | Primary-Long |
| 35-2014.00 | role-35-2014-00 | Cooks, Restaurant | Primary-Long |
| 51-3091.00 | role-51-3091-00 | Food and Tobacco Roasting, Baking, and Drying Machine Operators and Tenders | Primary-Long |
| 45-2092.00 | role-45-2092-00 | Farmworkers and Laborers, Crop, Nursery, and Greenhouse | Primary-Long |
| 19-1011.00 | role-19-1011-00 | Animal Scientists | Supplemental |
| 51-9111.00 | role-51-9111-00 | Packaging and Filling Machine Operators and Tenders | Supplemental |

## Career Clusters

| Cluster | Slug |
| --- | --- |
| Agriculture | agriculture |

## Education Level

- **Category:** No formal educational credential

## Study Programs

| Title | Slug |
| --- | --- |
| Culinary, Entertainment, and Personal Services | culinary-entertainment-and-personal-services |

## Market

- **Median Wage:** 39790
- **Mean Wage:** 40710
- **Pct10Wage:** 31470
- **Pct25Wage:** 35940
- **Pct75Wage:** 45930
- **Pct90Wage:** 49460
- **Employment:** 67500
- **Area Title:** U.S.

## Industries


### Top

| Naics | Slug | Title | Level | Employment | Median Wage | Lq |
| --- | --- | --- | --- | --- | --- | --- |
| 31-33 | 31-33 | Manufacturing | Sector | 62270 | 40120 | 11.14 |
| 44-45 | 44-45 | Retail Trade | Sector | 2050 | 33610 | 0.3 |
| 42 | 42 | Wholesale Trade | Sector | 1700 | 37560 | 0.64 |
| 56 | 56 | Administrative and Support and Waste Management and Remediation Services | Sector | 1300 | 34410 | 0.33 |
| 561320 | 561320 | Temporary Help Services | National industry | 1010 | 34410 | 0.87 |

### Concentrated

| Naics | Slug | Title | Level | Employment | Lq |
| --- | --- | --- | --- | --- | --- |
| 31-33 | 31-33 | Manufacturing | Sector | 62270 | 11.14 |
| 561320 | 561320 | Temporary Help Services | National industry | 1010 | 0.87 |
| 42 | 42 | Wholesale Trade | Sector | 1700 | 0.64 |
| 56 | 56 | Administrative and Support and Waste Management and Remediation Services | Sector | 1300 | 0.33 |
| 44-45 | 44-45 | Retail Trade | Sector | 2050 | 0.3 |
- **Count:** 5

## Ai Signals

| Source | Label | Score | Scale | Release |
| --- | --- | --- | --- | --- |
| frey_osborne | Computerization probability | 0.6 | 0-1 probability | 2013-baseline-2016-employment-snapshot |
| felten_aioe | AI occupational exposure | -1.834668 | relative exposure score | 2021-plus-generative-ai-workbooks |
| felten_image_generation_aioe | Image generation occupational exposure | -2.529332 | relative exposure score | 2021-plus-generative-ai-workbooks |
| felten_language_modeling_aioe | Language modeling occupational exposure | -1.542946 | relative exposure score | 2021-plus-generative-ai-workbooks |

## Ai Outlook


### Index

- **Value:** 12
- **Percentile:** 8
- **Band:** Low
- **Version:** ai-exposure-index-v1

#### Components

| Percentile | Source |
| --- | --- |
| 1 | felten_aioe |
| 3 | openai_gpts_are_gpts |
| 32 | microsoft_working_with_ai |
- **Component Count:** 3

### Exposure

| Source | Label | Value | Percentile | Band | Note |
| --- | --- | --- | --- | --- | --- |
| felten_aioe | Overall AI exposure (Felten et al.) | -1.834668 | 1 | Low | How much this job's abilities overlap with what AI systems can do, across many AI capabilities. A relative research score, not a forecast of job loss. |
| eloundou_gamma | LLM task exposure, γ (OpenAI / Eloundou) | 0 | 3 | Low | Share of this job's tasks where a large language model plus simple tools could cut the time to do them by at least half. γ is capped at 1.0 and many jobs reach that ceiling, so treat a top score as 'in the top group', not a precise rank. |
| microsoft_applicability | AI assistant applicability (Microsoft) | 0.10491209560631853 | 32 | Low | How applicable today's AI assistants are to this job's activities, measured from real Microsoft Copilot conversations. Applicability is not the same as replacement. |

### Frey Historical

- **Source:** frey
- **Label:** Computerization probability (Frey & Osborne, 2013)
- **Value:** 0.6
- **Percentile:** 51
- **Band:** Moderate
- **Note:** A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.
- **Teleworkable:** no

### Eloundou

- **Alpha:** 0
- **Beta:** 0
- **Gamma:** 0

### Usage Tasks


### Bls

- **Growth Percent:** 2.2
- **Growth Percentile:** 43
- **Direction:** About average
- **Annual Openings Thousands:** 8.4
- **Annual Openings Percentile:** 59
- **Employment2024Thousands:** 69.6
- **Employment2034Thousands:** 71.2

### Sources

| Source | Version |
| --- | --- |
| bls_employment_projections | 2024-2034 |
| dingel_neiman | dingel-neiman-workathome |
| felten_aioe | felten-raj-seamans-aioe |
| frey_osborne | frey-osborne-automation |
| microsoft_working_with_ai | working-with-ai |
| openai_gpts_are_gpts | gpts-are-gpts |

## Counts

- **Tasks:** 14
- **Skills:** 33
- **Capabilities:** 120
- **Tools:** 8
- **Related Roles:** 20

## Source

- **Dataset:** gold.onet_role_starter_surface
- **Version:** 30.3
- **Generated At:** 2026-06-02T21:00:32.945303+00:00
- **Content Hash:** 87a44e13dfd42440