How to become a Synthetic Fibre Finishing Operator
Official Chinese title (2022 occupational classification): 化纤后处理工
Also called: Staple Fibre Finishing Operator, Filament Finishing Operator, Acetalisation Solution Preparation Operator, Fibre Carbonisation Plant Operator
Finishes and processes freshly spun semi finished fibre into finished synthetic fibre.
Main tasks
- Washing, acetalising, crimping, heat setting, oiling and dewatering fibre
- Drying fibre
- Drawing, winding onto packages, texturing and cutting
- Twisting yarn
- Baling finished products
- Keeping an eye on equipment and the process, clearing production faults and filling in records
- Recovering waste fibre, liquids and materials
Pay · AI and this job
- Median pay in China: CN¥73,600 a year (2025).
- Middle half: CN¥56,400 to CN¥92,900. One in ten earn less than CN¥45,000 and one in ten more than CN¥111,000.
- This is the figure for the mid group Chemical Fibre Manufacturing Workers, not for this job alone.
- National figure: wage prices of enterprise employees from the Ministry of Human Resources and Social Security (MOHRSS) enterprise pay survey. The public sector and the self-employed are not covered.
- Generative AI can do relatively little of this work, by the ILO's global estimate.
Who does this work
- The census group Chemical Fibre Manufacturing Workers holds 0.03% of everyone employed in China; 39.1% of its workers are women (2020 Census).
- 39.9% are under 35, 53.3% are 35 to 54 and 6.8% are 55 or older. The middle age band is 35 to 39.
- Census figures for the whole mid group (2020 long-form sample), not for this job alone.
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Questions people ask
How much does a Synthetic Fibre Finishing Operator earn in China?
Across China, the median pay of enterprise employees is CN¥73,600 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 Chemical Fibre Manufacturing Workers.
Will AI change the work of a Synthetic Fibre Finishing Operator?
Generative AI can do relatively little of this work, by the ILO's global estimate.
Sources
- Ministry of Human Resources and Social Security (MOHRSS): 2025 enterprise pay survey information: wage prices of enterprise employees by occupation mid group, and digital occupations (P10 to P90 annual CNY) (2025 (published 2026-07-08)), retrieved 5 October 2026
- National Bureau of Statistics of China: China Population Census Yearbook 2020, long-form tables 4-6 and 4-7 (employed by occupation mid group, sex, age) (2020 Census long form (10% sample)), retrieved 4 October 2026
- International Labour Organization, Generative AI and Jobs: A Refined Global Index of Occupational Exposure (ILO Working Paper 140, Gmyrek et al.) (ILO Working Paper 140, May 2025, Annex Table A1), CC BY 4.0, retrieved 4 October 2026
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