# Food Batchmakers

> Set up and operate equipment that mixes or blends ingredients used in the manufacturing of food products. Includes candy makers and cheese makers.
- **Entity Type:** role
- **Schema Version:** role.v1
- **Soc Code:** 51-3092.00
- **Summary:** Set up and operate equipment that mixes or blends ingredients used in the manufacturing of food products. Includes candy makers and cheese makers.

## Aliases

- Batching Operator
- Blender
- Mixer
- Mixer Operator
- Brewing Technician
- Compounder
- Dosier Operator
- Dough Scaler
- Mix Technician
- Syrup Maker
- Almond Paste Mixer
- Back of House Team Member

## Tasks

| Text | Type | Iwa |
| --- | --- | --- |
| Record production and test data for each food product batch, such as the ingredients used, temperature, test results, and time cycle. | Core | 4.A.3.b.6.h |
| Clean and sterilize vats and factory processing areas. | Core | 4.A.3.a.1.c |
| Test food product samples for moisture content, acidity level, specific gravity, or butter-fat content, and continue processing until desired levels are reached. | Supplemental | 4.A.1.b.2.f |
| Set up, operate, and tend equipment that cooks, mixes, blends, or processes ingredients in the manufacturing of food products, according to formulas or recipes. | Core | 4.A.3.a.3.f |
| Mix or blend ingredients, according to recipes, using a paddle or an agitator, or by controlling vats that heat and mix ingredients. | Core | 4.A.3.a.3.f |
| Inspect vats after cleaning to ensure that fermentable residue has been removed. | Supplemental | 4.A.1.b.2.g |
| Follow recipes to produce food products of specified flavor, texture, clarity, bouquet, or color. | Core | 4.A.3.a.3.f |
| Give directions to other workers who are assisting in the batchmaking process. | Core | 4.A.4.b.4.j |
| Select and measure or weigh ingredients, using English or metric measures and balance scales. | Core | 4.A.1.b.3.a |
| Press switches and turn knobs to start, adjust, and regulate equipment, such as beaters, extruders, discharge pipes, and salt pumps. | Core | 4.A.3.a.3.f |
| Fill processing or cooking containers, such as kettles, rotating cookers, pressure cookers, or vats, with ingredients, by opening valves, by starting pumps or injectors, or by hand. | Supplemental | 4.A.3.a.1.f |
| Determine mixing sequences, based on knowledge of temperature effects and of the solubility of specific ingredients. | Core | 4.A.2.b.1.d |

## Emerging Tasks


## Activities

| Name | Iwa |
| --- | --- |
| Record operational or production data. | 4.A.3.b.6.h |
| Monitor instruments to ensure proper production conditions. | 4.A.1.a.2.a |
| Adjust temperature controls of ovens or other heating equipment. | 4.A.3.a.2.i |
| Clean work areas. | 4.A.3.a.1.c |
| Sterilize food cooking or processing equipment. | 4.A.3.a.1.c |
| Operate mixing equipment. | 4.A.3.a.3.f |
| Watch operating equipment to detect malfunctions. | 4.A.1.a.2.a |
| Notify others of equipment repair or maintenance needs. | 4.A.4.a.2.g |
| Operate cooking, baking, or other food preparation equipment. | 4.A.3.a.3.f |
| Measure ingredients or substances to be used in production processes. | 4.A.1.b.3.a |
| Select production input materials. | 4.A.2.b.1.j |
| Determine food production methods. | 4.A.2.b.1.d |
| Load materials into production equipment. | 4.A.3.a.1.f |
| Operate pumping systems or equipment. | 4.A.3.a.3.b |
| Direct operational or production activities. | 4.A.4.b.4.j |
| Inspect production equipment. | 4.A.1.b.2.g |
| Inspect food products. | 4.A.1.b.2.f |
| Evaluate quality of food ingredients or prepared foods. | 4.A.2.a.1.e |
| Package products for storage or shipment. | 4.A.3.a.2.ap |
| Move products, materials, or equipment between work areas. | 4.A.3.a.1.j |
| Shape clay or dough to create products. | 4.A.3.a.2.g |

## Capabilities

| Name | Family | Value |
| --- | --- | --- |
| Public Safety and Security | knowledge | 4.29 |
| Food Production | knowledge | 4.26 |
| Production and Processing | knowledge | 4.21 |
| Information Ordering | ability | 3.62 |
| Near Vision | ability | 3.62 |
| Education and Training | knowledge | 3.57 |
| English Language | knowledge | 3.47 |
| Operations Monitoring | transferable_skill | 3.25 |
| Oral Comprehension | ability | 3.25 |
| Administration and Management | knowledge | 3.15 |
| Mechanical | knowledge | 3.15 |
| Reading Comprehension | essential_skill | 3.12 |
| Critical Thinking | essential_skill | 3.12 |
| Mathematics | knowledge | 3.12 |
| Written Comprehension | ability | 3.12 |
| Problem Sensitivity | ability | 3.12 |
| Control Precision | ability | 3.12 |
| Computers and Electronics | knowledge | 3.09 |
| Active Listening | essential_skill | 3 |
| Speaking | essential_skill | 3 |
| Coordination | transferable_skill | 3 |
| Operation and Control | transferable_skill | 3 |
| Oral Expression | ability | 3 |
| Category Flexibility | ability | 3 |
| Perceptual Speed | ability | 3 |
| Selective Attention | ability | 3 |
| Manual Dexterity | ability | 3 |
| Auditory Attention | ability | 3 |
| Speech Recognition | ability | 3 |
| Administrative | knowledge | 2.91 |
| Customer and Personal Service | knowledge | 2.9 |
| Writing | essential_skill | 2.88 |
| Monitoring | essential_skill | 2.88 |
| Complex Problem Solving | transferable_skill | 2.88 |
| Judgment and Decision Making | transferable_skill | 2.88 |
| Deductive Reasoning | ability | 2.88 |
| Inductive Reasoning | ability | 2.88 |
| Arm-Hand Steadiness | ability | 2.88 |
| Finger Dexterity | ability | 2.88 |
| Trunk Strength | ability | 2.88 |

## Skills

| Name | Type |
| --- | --- |
| Information Ordering | Specialized Skill |
| English Language | Common Skill |
| Reading Comprehension | Common Skill |
| Mathematics | Common Skill |
| Critical Thinking | Common Skill |
| Speech Recognition | Specialized Skill |
| Active Listening | Common Skill |
| Writing | Common Skill |
| Inductive Reasoning | Common Skill |
| Finger Dexterity | Common Skill |
| Deductive Reasoning | Common Skill |
| Complex Problem Solving | Common Skill |
| Time Management | Common Skill |
| Social Perceptiveness | Common Skill |
| Active Learning | Common Skill |
| Chemistry | Specialized Skill |
| Psychology | Specialized Skill |
| Physics | Specialized Skill |
| Visualization | Specialized Skill |
| Biology | Specialized Skill |
| Learning Strategies | Specialized Skill |
| Instructing | Specialized Skill |
| Systems Analysis | Specialized Skill |
| Negotiation | Common Skill |
| Depth Perception | Common Skill |
| Telecommunications | Specialized Skill |
| Geography | Specialized Skill |
| Equipment Selection | Specialized Skill |
| Equipment Maintenance | Specialized Skill |
| Foreign Language | Common Skill |
| Installation | Specialized Skill |

## Tools

| Example | Category | Hot | In Demand |
| --- | --- | --- | --- |
| Microsoft Office software | Office suite software | yes | no |
| Edible Software | Inventory management software | no | no |
| Plex Systems Plex Manufacturing Cloud | Enterprise resource planning ERP 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 | 4.85 |
| Face-to-Face Discussions with Individuals and Within Teams | 4.55 |
| Spend Time Standing | 4.38 |
| Pace Determined by Speed of Equipment | 4.29 |
| Importance of Being Exact or Accurate | 4.25 |
| Work With or Contribute to a Work Group or Team | 4.22 |
| Time Pressure | 4.19 |
| Health and Safety of Other Workers | 4.17 |
| Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls | 4.15 |
| Importance of Repeating Same Tasks | 4.09 |
| Physical Proximity | 3.91 |
| Work Outcomes and Results of Other Workers | 3.88 |
| Spend Time Making Repetitive Motions | 3.86 |
| Indoors, Environmentally Controlled | 3.79 |
| Contact With Others | 3.74 |
| Coordinate or Lead Others in Accomplishing Work Activities | 3.73 |
| Freedom to Make Decisions | 3.7 |
| Impact of Decisions on Co-workers or Company Results | 3.67 |
| Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable | 3.61 |
| Spend Time Walking or Running | 3.32 |
| Exposed to Contaminants | 3.27 |
| Consequence of Error | 3.22 |
| Spend Time Bending or Twisting Your Body | 3.19 |
| Exposed to Hazardous Equipment | 2.88 |
| Level of Competition | 2.78 |
| Degree of Automation | 2.77 |
| Frequency of Decision Making | 2.76 |
| Determine Tasks, Priorities and Goals | 2.76 |
| Exposed to Very Hot or Cold Temperatures | 2.59 |
| Spend Time Kneeling, Crouching, Stooping, or Crawling | 2.46 |
| Telephone Conversations | 2.39 |
| Indoors, Not Environmentally Controlled | 2.36 |
| Public Speaking | 2.32 |
| Exposed to Hazardous Conditions | 2.25 |
| Spend Time Climbing Ladders, Scaffolds, or Poles | 2.03 |
| Spend Time Keeping or Regaining Balance | 2 |
| Written Letters and Memos | 1.99 |
| Deal With External Customers or the Public in General | 1.99 |
| Wear Specialized Protective or Safety Equipment such as Breathing Apparatus, Safety Harness, Full Protection Suits, or Radiation Protection | 1.87 |
| Exposed to Minor Burns, Cuts, Bites, or Stings | 1.85 |

## 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 | 37.83 |
| Some College Courses | 26.74 |
| Post-Secondary Certificate | 21.51 |
| Less than a High School Diploma | 13.91 |

## Person Fit

| Name | Family | Value |
| --- | --- | --- |
| Realistic | career_interest_type | 6.09 |
| Conventional | career_interest_type | 4.65 |
| Physical/Manual Labor | specific_interest_area | 3.68 |
| Culinary Art | specific_interest_area | 2.95 |
| Mechanics/Electronics | specific_interest_area | 2.76 |
| Enterprising | career_interest_type | 2.62 |
| Dependability | work_style | 2.59 |
| Attention to Detail | work_style | 2.41 |
| Engineering | specific_interest_area | 2.2 |
| Investigative | career_interest_type | 2.11 |
| Artistic | career_interest_type | 1.91 |
| Mathematics/Statistics | specific_interest_area | 1.82 |
| Cautiousness | work_style | 1.82 |
| Transportation/Machine Operation | specific_interest_area | 1.77 |
| Physical Science | specific_interest_area | 1.74 |
| Management/Administration | specific_interest_area | 1.71 |

## Related Roles

| Soc Code | Slug | Title | Tier |
| --- | --- | --- | --- |
| 51-3093.00 | role-51-3093-00 | Food Cooking Machine Operators and Tenders | Primary-Short |
| 51-3091.00 | role-51-3091-00 | Food and Tobacco Roasting, Baking, and Drying Machine Operators and Tenders | Primary-Short |
| 51-9023.00 | role-51-9023-00 | Mixing and Blending Machine Setters, Operators, and Tenders | Primary-Short |
| 51-9012.00 | role-51-9012-00 | Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders | Primary-Short |
| 51-3011.00 | role-51-3011-00 | Bakers | Primary-Short |
| 45-2041.00 | role-45-2041-00 | Graders and Sorters, Agricultural Products | Primary-Long |
| 51-9193.00 | role-51-9193-00 | Cooling and Freezing Equipment Operators and Tenders | Primary-Long |
| 51-9192.00 | role-51-9192-00 | Cleaning, Washing, and Metal Pickling Equipment Operators and Tenders | Primary-Long |
| 51-9021.00 | role-51-9021-00 | Crushing, Grinding, and Polishing Machine Setters, Operators, and Tenders | Primary-Long |
| 51-9041.00 | role-51-9041-00 | Extruding, Forming, Pressing, and Compacting Machine Setters, Operators, and Tenders | Primary-Long |
| 51-9111.00 | role-51-9111-00 | Packaging and Filling Machine Operators and Tenders | Supplemental |
| 51-9051.00 | role-51-9051-00 | Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders | Supplemental |

## Career Clusters

| Cluster | Slug |
| --- | --- |
| Advanced Manufacturing | advanced-manufacturing |

## Education Level

- **Category:** High school diploma or equivalent

## Study Programs

| Title | Slug |
| --- | --- |
| Agriculture, Agriculture Operations, and Related Sciences | agriculture-agriculture-operations-and-related-sciences |

## Market

- **Median Wage:** 40790
- **Mean Wage:** 42830
- **Pct10Wage:** 30850
- **Pct25Wage:** 35340
- **Pct75Wage:** 49010
- **Pct90Wage:** 57800
- **Employment:** 171660
- **Area Title:** U.S.

## Industries


### Top

| Naics | Slug | Title | Level | Employment | Median Wage | Lq |
| --- | --- | --- | --- | --- | --- | --- |
| 31-33 | 31-33 | Manufacturing | Sector | 145060 | 43980 | 10.21 |
| 56 | 56 | Administrative and Support and Waste Management and Remediation Services | Sector | 8910 | 35230 | 0.89 |
| 561320 | 561320 | Temporary Help Services | National industry | 8740 | 35220 | 2.96 |
| 72 | 72 | Accommodation and Food Services | Sector | 7130 | 33360 | 0.45 |
| 42 | 42 | Wholesale Trade | Sector | 5320 | 38170 | 0.79 |
| 44-45 | 44-45 | Retail Trade | Sector | 4110 | 36350 | 0.24 |
| 722511 | 722511 | Full-Service Restaurants | National industry | 620 | 40280 | 0.1 |
| 48-49 | 48-49 | Transportation and Warehousing | Sector | 600 | 38810 | 0.07 |
| 62 | 62 | Health Care and Social Assistance | Sector | 130 | 37930 | 0.01 |
| 11 | 11 | Agriculture, Forestry, Fishing and Hunting | Sector |  | 35110 |  |
| 55 | 55 | Management of Companies and Enterprises | Sector |  | 29600 |  |

### Concentrated

| Naics | Slug | Title | Level | Employment | Lq |
| --- | --- | --- | --- | --- | --- |
| 31-33 | 31-33 | Manufacturing | Sector | 145060 | 10.21 |
| 561320 | 561320 | Temporary Help Services | National industry | 8740 | 2.96 |
| 56 | 56 | Administrative and Support and Waste Management and Remediation Services | Sector | 8910 | 0.89 |
| 42 | 42 | Wholesale Trade | Sector | 5320 | 0.79 |
| 72 | 72 | Accommodation and Food Services | Sector | 7130 | 0.45 |
| 44-45 | 44-45 | Retail Trade | Sector | 4110 | 0.24 |
| 722511 | 722511 | Full-Service Restaurants | National industry | 620 | 0.1 |
| 48-49 | 48-49 | Transportation and Warehousing | Sector | 600 | 0.07 |
- **Count:** 11

## Ai Signals

| Source | Label | Score | Scale | Release |
| --- | --- | --- | --- | --- |
| frey_osborne | Computerization probability | 0.7 | 0-1 probability | 2013-baseline-2016-employment-snapshot |
| felten_aioe | AI occupational exposure | -0.3791114 | relative exposure score | 2021-plus-generative-ai-workbooks |
| felten_image_generation_aioe | Image generation occupational exposure | -0.6487997 | relative exposure score | 2021-plus-generative-ai-workbooks |
| felten_language_modeling_aioe | Language modeling occupational exposure | -0.4268211 | relative exposure score | 2021-plus-generative-ai-workbooks |

## Ai Outlook


### Index

- **Value:** 25
- **Percentile:** 22
- **Band:** Low
- **Version:** ai-exposure-index-v1

#### Components

| Percentile | Source |
| --- | --- |
| 38 | felten_aioe |
| 17 | openai_gpts_are_gpts |
| 19 | microsoft_working_with_ai |
- **Component Count:** 3

### Exposure

| Source | Label | Value | Percentile | Band | Note |
| --- | --- | --- | --- | --- | --- |
| felten_aioe | Overall AI exposure (Felten et al.) | -0.3791114 | 38 | Moderate | 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) | 0.1282051282051282 | 17 | 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) | 0.07307398833113297 | 19 | 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:** 0.7
- **Percentile:** 58
- **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:** 0.10256410256410256
- **Beta:** 0.11538461538461538
- **Gamma:** 0.1282051282051282

### Usage Tasks

| Task | Usage Percent | Importance |
| --- | --- | --- |
| Follow recipes to produce food products of specified flavor, texture, clarity, bouquet, or color. | 0.042110193131724795 | 4.56 |
| Formulate or modify recipes for specific kinds of food products. | 0.008730161990723432 | 4.28 |
| Record production and test data for each food product batch, such as the ingredients used, temperature, test results, and time cycle. | 0.0022595713387754766 | 4.77 |
| Grade food products according to government regulations or according to type, color, bouquet, and moisture content. | 0.0018487401862708444 | 4.33 |
- **Usage Release:** 2026-01-15-v4-plus-2025-03-27-v2

### Bls

- **Growth Percent:** 6.9
- **Growth Percentile:** 85
- **Direction:** About average
- **Annual Openings Thousands:** 24.2
- **Annual Openings Percentile:** 81
- **Employment2024Thousands:** 173.5
- **Employment2034Thousands:** 185.4

### 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 |

## Ai Playbook

- **Trusted Task Count:** 2
- **Task Count:** 3
- **Total Sample:** 103
- **Autonomy Median:** 3.5
- **Dominant Collaboration:** directive
- **Automation Share:** 26.25
- **Augmentation Share:** 18.75

### Collaboration

| Label | Percent |
| --- | --- |
| directive | 26.25 |
| task iteration | 18.75 |

### Use Case

| Label | Percent |
| --- | --- |
| personal | 87.5 |

### Delegated Tasks

| Task | Usage Percent | Collaboration | Autonomy Median | Sample Count |
| --- | --- | --- | --- | --- |
| Follow recipes to produce food products of specified flavor, texture, clarity, bouquet, or color. | 0.0043005375671959 | directive | 4 | 43 |
| Formulate or modify recipes for specific kinds of food products. | 0.0037004625578197278 | task iteration | 3 | 37 |

### Boundary Tasks

| Task | Human Needed Percent | Sample Count |
| --- | --- | --- |
| Follow recipes to produce food products of specified flavor, texture, clarity, bouquet, or color. | 100 | 43 |
| Formulate or modify recipes for specific kinds of food products. | 94.5945945945946 | 37 |

### Seed Prompts

| Prompt | Collaboration |
| --- | --- |
| Do this for me: follow recipes to produce food products of specified flavor, texture, clarity, bouquet, or color. Give me a finished draft I can review and adjust. | directive |
| Let's work through this together, step by step: formulate or modify recipes for specific kinds of food products. I'll give feedback as we go. | task iteration |
- **Release:** 2026-01-15-v4-plus-2025-03-27-v2

## Counts

- **Tasks:** 25
- **Skills:** 31
- **Capabilities:** 120
- **Tools:** 3
- **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:** 011840687e9f3fc9