# Plant and System Operators, All Other

> All plant and system operators not listed separately.
- **Entity Type:** role
- **Schema Version:** role.v1
- **Soc Code:** 51-8099.00
- **Summary:** All plant and system operators not listed separately.

## Aliases

- Asphalt Plant Operator
- Batch Plant Operator
- Batch and Furnace Operator
- Batcher Operator
- Bulk Plant Operator
- Cement Boat and Barge Loader
- Charge Machine Operator
- Chief Lock Tender Operator
- Coal Pipeline Operator
- Concrete Batch Plant Operator
- Control Board Operator
- Fire Tender

## Tasks


## Emerging Tasks


## Activities


## Capabilities


## Skills


## Tools


## Work Context


## Preparation


### Education Distribution


## Person Fit


## Related Roles


## Career Clusters

| Cluster | Slug |
| --- | --- |
| Energy & Natural Resources | energy-natural-resources |

## Education Level

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

## Study Programs


## Market

- **Median Wage:** 61710
- **Mean Wage:** 64490
- **Pct10Wage:** 40250
- **Pct25Wage:** 47860
- **Pct75Wage:** 76910
- **Pct90Wage:** 92750
- **Employment:** 15950
- **Area Title:** U.S.

## Industries


### Top

| Naics | Slug | Title | Level | Employment | Median Wage | Lq |
| --- | --- | --- | --- | --- | --- | --- |
| 31-33 | 31-33 | Manufacturing | Sector | 6640 | 56980 | 5.03 |
| 21 | 21 | Mining, Quarrying, and Oil and Gas Extraction | Sector | 1760 | 61950 | 29.67 |
| 23 | 23 | Construction | Sector | 1210 | 53140 | 1.44 |
| 42 | 42 | Wholesale Trade | Sector | 1050 | 49640 | 1.68 |
| 22 | 22 | Utilities | Sector | 390 | 93150 | 6.51 |
| 54 | 54 | Professional, Scientific, and Technical Services | Sector | 240 | 90450 | 0.22 |
| 221112 | 221112 | Fossil Fuel Electric Power Generation | National industry | 150 | 128190 | 20.34 |
| 541330 | 541330 | Engineering Services | National industry | 150 | 91210 | 1.25 |
| 561320 | 561320 | Temporary Help Services | National industry | 120 | 43660 | 0.44 |
| 62 | 62 | Health Care and Social Assistance | Sector | 70 | 69290 |  |
| 61 | 61 | Educational Services | Sector | 60 | 50840 |  |
| 72 | 72 | Accommodation and Food Services | Sector | 40 | 62650 |  |

### Concentrated

| Naics | Slug | Title | Level | Employment | Lq |
| --- | --- | --- | --- | --- | --- |
| 21 | 21 | Mining, Quarrying, and Oil and Gas Extraction | Sector | 1760 | 29.67 |
| 221112 | 221112 | Fossil Fuel Electric Power Generation | National industry | 150 | 20.34 |
| 22 | 22 | Utilities | Sector | 390 | 6.51 |
| 31-33 | 31-33 | Manufacturing | Sector | 6640 | 5.03 |
| 42 | 42 | Wholesale Trade | Sector | 1050 | 1.68 |
| 23 | 23 | Construction | Sector | 1210 | 1.44 |
| 541330 | 541330 | Engineering Services | National industry | 150 | 1.25 |
| 561320 | 561320 | Temporary Help Services | National industry | 120 | 0.44 |
- **Count:** 14

## Ai Signals

| Source | Label | Score | Scale | Release |
| --- | --- | --- | --- | --- |
| frey_osborne | Computerization probability | 0.86 | 0-1 probability | 2013-baseline-2016-employment-snapshot |
| felten_aioe | AI occupational exposure | -0.6702387 | relative exposure score | 2021-plus-generative-ai-workbooks |
| felten_image_generation_aioe | Image generation occupational exposure | -0.3448496 | relative exposure score | 2021-plus-generative-ai-workbooks |
| felten_language_modeling_aioe | Language modeling occupational exposure | -0.8108405 | relative exposure score | 2021-plus-generative-ai-workbooks |

## Ai Outlook


### Index

- **Value:** 19
- **Percentile:** 16
- **Band:** Low
- **Version:** ai-exposure-index-v1

#### Components

| Percentile | Source |
| --- | --- |
| 29 | felten_aioe |
| 24 | openai_gpts_are_gpts |
| 4 | microsoft_working_with_ai |
- **Component Count:** 3

### Exposure

| Source | Label | Value | Percentile | Band | Note |
| --- | --- | --- | --- | --- | --- |
| felten_aioe | Overall AI exposure (Felten et al.) | -0.6702387 | 29 | 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) | 0.1891891891891892 | 24 | 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) | 0.02637506699890347 | 4 | 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:** 0.86
- **Percentile:** 72
- **Band:** High
- **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:** 0.0945945945945946
- **Gamma:** 0.1891891891891892

### Usage Tasks


### Bls

- **Growth Percent:** 1.6
- **Growth Percentile:** 37
- **Direction:** About average
- **Annual Openings Thousands:** 1.6
- **Annual Openings Percentile:** 23
- **Employment2024Thousands:** 16.3
- **Employment2034Thousands:** 16.6

### 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:** 0
- **Skills:** 0
- **Capabilities:** 0
- **Tools:** 0
- **Related Roles:** 0

## Source

- **Dataset:** gold.onet_role_starter_surface
- **Version:** 30.3
- **Generated At:** 2026-06-02T21:00:32.945303+00:00
- **Content Hash:** 6b7991d14d4c9b15