食品烘焙机操作员

食品准备与服务

AI暴露度

  • 数据来源: BLS发布时间: 2026-08

    低· 相对

    低四级相对区间很高

    职业群单位数值

    尺度 · 母数 · 来源

    四级相对类别(低 / 中等 / 高 / 很高)

    以BLS就业预测表中831个细分职业为基数。取值按 NEM(全国就业矩阵)代码给定,因此共用同一 NEM 代码的职业得到相同分档

    来源数据集(XLSX 文件下载)

  • 数据来源: Anthropic发布时间: 2026-03

    0.000

    0.000此处所载数值的范围0.745
    尺度 · 母数 · 来源

    观测暴露度指数,按发布原值0–1

    以O*NET任务映射为基准

    来源数据集

  • 数据来源: ILO发布时间: 2025

    0.15

    0.09此处所载数值的范围0.70

    职业群单位数值

    尺度 · 母数 · 来源

    生成式AI暴露度指数,按发布原值0–1

    ISCO-08职业小类单位 — 共用同一代码的职业取值相同

    本站计算,并非国际劳工组织发布的数值。在本站与 ILO 数据集相连的 1,012 个职业中,达到或高于此值的占 92%。

    来源数据集

该来源发布的是什么性质的数值

BLS的类别是相对排位而非绝对水平,也不是一手测量:它把多项已发表研究给出的职业百分位排名归并为四个等级。它不是就业或工资预测,不是采用概率,也不区分自动化与增强。

Task-level exposure

仅显示有暴露的工作

Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime.

TaskβE1 + 0.5 × E2
Record production data, such as weight and amount of product processed, type of product, and time and temperature of processing.

O*NET Task ID 10063

1.0
Observe, feel, taste, or otherwise examine products during and after processing to ensure conformance to standards.

O*NET Task ID 10058

0.0
Observe temperature, humidity, pressure gauges, and product samples and adjust controls, such as thermostats and valves, to maintain prescribed operating conditions for specific stages.

O*NET Task ID 10059

0.0
Operate or tend equipment that roasts, bakes, dries, or cures food items such as cocoa and coffee beans, grains, nuts, and bakery products.

O*NET Task ID 10060

0.0
Set temperature and time controls, light ovens, burners, driers, or roasters, and start equipment, such as conveyors, cylinders, blowers, driers, or pumps.

O*NET Task ID 10061

0.0
Observe flow of materials and listen for machine malfunctions, such as jamming or spillage, and notify supervisors if corrective actions fail.

O*NET Task ID 10062

0.0
Weigh or measure products, using scale hoppers or scale conveyors.

O*NET Task ID 10064

0.0
Read work orders to determine quantities and types of products to be baked, dried, or roasted.

O*NET Task ID 10065

0.0
Take product samples during or after processing for laboratory analyses.

O*NET Task ID 10066

0.0
Fill or remove product from trays, carts, hoppers, or equipment, using scoops, peels, or shovels, or by hand.

O*NET Task ID 10067

0.0
Open valves, gates, or chutes or use shovels to load or remove products from ovens or other equipment.

O*NET Task ID 10068

0.0
Clean equipment with steam, hot water, and hoses.

O*NET Task ID 10069

0.0
Clear or dislodge blockages in bins, screens, or other equipment, using poles, brushes, or mallets.

O*NET Task ID 10070

0.0
Push racks or carts to transfer products to storage, cooling stations, or the next stage of processing.

O*NET Task ID 10071

0.0
Start conveyors to move roasted grain to cooling pans and agitate grain with rakes as blowers force air through perforated bottoms of pans.

O*NET Task ID 10072

0.0
Smooth out products in bins, pans, trays, or conveyors, using rakes or shovels.

O*NET Task ID 10073

0.0
Install equipment, such as spray units, cutting blades, or screens, using hand tools.

O*NET Task ID 10074

0.0
Test products for moisture content, using moisture meters.

O*NET Task ID 10075

0.0
Signal coworkers to synchronize flow of materials.

O*NET Task ID 10076

0.0
Dump sugar dust from collectors into melting tanks and add water to reclaim sugar lost during processing.

O*NET Task ID 10077

0.0

β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.

Data sources & licenses — O*NET®, Eloundou et al. (2023): see full notices on the Credits page

职业信息