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Rare and Precious Metal Smelting Workers

How to become a Rare Earth Materials Production Operator

Official Chinese title (2022 occupational classification): 稀土材料生产工

Also called: Rare Earth Polishing Powder Operator, Rare Earth Phosphor Operator, Rare Earth Hydrogen Storage Materials Operator, Rare Earth Catalyst Operator, Rare Earth Permanent Magnet Operator, Rare Earth Magnet Alloy Rapid Quench Operator, Rare Earth Magnet Pressing Operator

Processes and synthesises rare earth metals, alloys and compounds into polishing powders, phosphors, hydrogen storage materials, permanent magnets and other functional rare earth materials.

Main tasks

Pay · AI and this job

Who does this work

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Questions people ask

How much does a Rare Earth Materials Production Operator earn in China?

Across China, the median pay of enterprise employees is CN¥68,000 a year (Ministry of Human Resources and Social Security (MOHRSS), 2025). The public sector and the self-employed are not covered. It is the figure for the mid group Metal Smelting and Rolling Workers. In Guangzhou alone it is CN¥81,955 a year (2025).

Will AI change the work of a Rare Earth Materials Production Operator?

Generative AI can do relatively little of this work, by the ILO's global estimate.

Sources

Sources: Occupational Classification of the People's Republic of China (2022 edition, public consultation draft), Ministry of Human Resources and Social Security, State Administration for Market Regulation and National Bureau of Statistics; Ministry of Human Resources and Social Security, 2025 enterprise pay survey information; Guangzhou Human Resources and Social Security Bureau, 2025 labour market wage prices; National Bureau of Statistics of China (www.stats.gov.cn), 2020 Population Census yearbook; Ministry of Education, vocational education major profiles (2022 revision) and undergraduate major catalogue (2025); Ministry of Human Resources and Social Security, national vocational qualifications catalogue (2021); O*NET interest scores (CC BY 4.0); ILO global generative AI exposure index (CC BY 4.0). Figures processed by Peernovo. English text, translations and the matching of occupations to ISCO-08, majors, degree fields and qualifications by Peernovo.

Descriptions and tasks are Peernovo's own words, written from the facts in the Occupational Classification of the People's Republic of China (2022 edition). Job titles and work types are the classification's own.

Updated 5 October 2026