BLS रोज़गार पूर्वानुमान तालिका के 831 विस्तृत व्यवसायों के आधार पर। मान NEM (नेशनल एम्प्लॉयमेंट मैट्रिक्स) कोड के स्तर पर दिया जाता है, इसलिए एक ही NEM कोड वाले व्यवसायों को वही बैंड मिलता है
जेनरेटिव AI एक्सपोजर सूचकांक, प्रकाशित रूप में 0–1
ISCO-08 यूनिट समूह — समान कोड वाले सभी व्यवसायों को यही मान मिलता है
यह इस साइट की गणना है, ILO द्वारा प्रकाशित आँकड़ा नहीं: इस साइट द्वारा ILO डेटासेट से जोड़े गए 1,012 व्यवसायों में से 92% इस मान के बराबर या उससे अधिक हैं।
BLS की श्रेणी सापेक्ष रैंक है, निरपेक्ष स्तर नहीं, और यह प्रथम-हस्त माप भी नहीं है: यह कई प्रकाशित अध्ययनों में व्यवसाय की पर्सेंटाइल रैंकों को चार बैंडों में बांटती है। यह रोज़गार या वेतन का पूर्वानुमान नहीं है, न अपनाए जाने की संभावना, और यह स्वचालन और संवर्धन में अंतर नहीं करती।
Follow recipes to produce food products of specified flavor, texture, clarity, bouquet, or color.Details
51-3092
0.042176.6
Formulate or modify recipes for specific kinds of food products.Details
51-3092
0.008715.9
Record production and test data for each food product batch, such as the ingredients used, temperature, test results, and time cycle.Details
51-3092
0.00234.1
Grade food products according to government regulations or according to type, color, bouquet, and moisture content.Details
51-3092
0.00183.4
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. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
Task
βE1 + 0.5 × E2
Record production and test data for each food product batch, such as the ingredients used, temperature, test results, and time cycle.Details
O*NET Task ID 4919
1.0
Determine mixing sequences, based on knowledge of temperature effects and of the solubility of specific ingredients.Details
O*NET Task ID 4929
1.0
Formulate or modify recipes for specific kinds of food products.Details
O*NET Task ID 4936
0.5
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®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page
व्यावसायिक जानकारी
आईएलओ व्यावसायिक विवरण
Food and Related Products Machine Operators
खाद्य और संबंधित उत्पाद मशीन संचालक
स्वयं अनूदित
स्वयं अनूदित — यह आधिकारिक ISCO शब्दावली नहीं है (ILO द्वारा समीक्षित नहीं)।
Food and related machine operators set, operate and attend machinery used to slaughter animals, trim meat from carcasses, and bake, freeze, heat, crush, mix, blend and otherwise process foodstuffs, beverages and tobacco leaves.
कार्य
(a) operating and monitoring machinery used to restrain, stun, slaughter animals and to trim carcasses into standard meat and fish cuts;
(b) setting, operating and attending machinery and ovens to mix, bake and otherwise prepare bread and flour confectionery products;
(c) operating machinery to crush, mix, malt, cook and ferment grains and fruits to produce beer, wines, malt liquors, vinegar, yeast and related products;
(d) attending equipment to make jam, toffee, cheese, processed cheese, margarine, syrup, ice, pasta, ice-cream, sausages, chocolate, maize starch, edible fats and dextrin;
(e) operating equipment to cool, heat, dry, roast, blanch, pasteurize, smoke, sterilize, freeze, evaporate and concentrate foodstuffs and liquids used in food processing;
(f) mixing, pulping, grinding, blending and separating foodstuffs and liquids with churning, pressing, sieving, grinding and filtering equipment;
(g) processing tobacco leaves by machine to make cigarettes, cigars, pipe and other tobacco products.
उदाहरण व्यवसाय
Bakery products machine operator · Bread production machine operator · Chocolate production machine operator · Cigarette production machine operator · Cigar production machine operator · Dairy products machine operator · Fish processing machine operator · Meat processing machine operator · Milk processing machine operator
अप्रत्यक्ष मानचित्रण — यह व्यवसाय नियम-आधारित फ़ॉलबैक द्वारा ISCO इकाई समूह से जुड़ा है।
Hydrogenation machine operators control equipment to process base oils for manufacture of margarine and shortening products.
pasta operatorESCO 8160.46
Pasta operators manufacture dry pasta products. They unload raw ingredients from storage silos and ingredient delivery systems. These operators mix, press, extrude as to reach desired drying levels of pasta.
coffee grinderESCO 8160.22
Coffee grinders operate grinding machines to grind coffee beans to specified fineness.
candy machine operatorESCO 8160.11
Candy machine operators tend machines that mix candy ingredients. They tend machines that weigh, measure, and mix ingredients. They form soft candies by spreading candy onto cooling and warming slabs cutting them manually or mechanically. They cast candies in moulds or by machine that extrudes candy.
blending plant operatorESCO 8160.6
Blending plant operators control equipment to weigh and mix vegetable oils used in products such as salad oil and margarines. They tend pump oils to perform the blending according to specific formulas. They draw off samples of mixed oil to examine its texture and colour and based on that make adjustments to blending processes.
sauce production operatorESCO 8160.49
Sauce production operators process, produce and manufacture sauces made from fruits, vegetables, oils and vinegars. They operate machinery and equipment for activities such as mixing, pasteurising and packaging sauces.
brew house operatorESCO 8160.7
Brew house operators monitor the processes of mashing, lautering and boiling of raw materials. They make sure that the brewing vessels are clean correctly and timely. They supervise the work in the brew house and operate the brew house equipment to deliver brews of good quality within the specified time.
centrifuge operatorESCO 8160.14
Centrifuge operators tend centrifugal machines that separate impurities from food materials aimed to be further processed as to achieve finished foodstuffs.
chilling operatorESCO 8160.15
Chilling operators perform various processes and tend specific machines for manufacturing prepared meals and dishes. They apply chilling, sealing, and freezing methods to foodstuffs for non-immediate consumption.
sugar refinery operatorESCO 8160.52
Sugar refinery operators tend and control refinery equipment to produce sugars and related products from raw sugar or other raw materials like corn starch.
cocoa press operatorESCO 8160.21
Cocoa press operators tend one or more hydraulic cocoa presses to remove specified amounts of cocoa butter (natural oil of cocoa bean) from chocolate liquor.
coffee roasterESCO 8160.23
Coffee roasters control gas fired roasters to dry coffee beans. They dump coffee beans into roasting ovens and once roasted, they compare colour of roasting beans against specifications. They perform cooling of the beans by operating mechanical blowers.
स्रोत:European Commission, DG EMPL — ESCO API 2026-08-08 (bridge v1.2.1)
ESCO reuse terms and the modification notice are in Credits.
Shown in the original Korean. This dataset is published under KOGL Type 4, which prohibits derivative works including translation, so the text is reproduced unaltered.
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Knowledge
식품생산(96) · 상품 제조 및 공정(79) · 기계(66) · 생물(54) · 철학과 신학(34)
Work environment
서서 근무(91) · 위험한 장비 노출(86) · 경미한 화상, 자상, 찔림 등 노출(84) · 몸을 구부리거나 비틀기(81) · 반복적인 신체행동, 정신적 활동(80)
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음료 제조 관련 기계 조작원 · 곡물가공 제품 기계 조작원 · 제분 및 도정 관련 기계 조작원 · 과실 및 채소가공 관련 기계 조작원
The KNOW occupations and KECO codes listed here were linked to this page's occupation by this site; this is not a correspondence defined by the Korea Employment Information Service or the Ministry of Employment and Labor.
Projected change: +6.5%
Median wage: $42K
lowest $31Kmedian wage across 825 detailed occupations, BLS EP 2025–35highest $559K
Employment: 177K
Typical entry-level education: High school diploma or equivalent
