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Archaeology and Cultural Heritage Conservation Professionals

How to become an Objects Conservator

Official Chinese title (2022 occupational classification): 可移动文物保护专业人员

Assesses the condition of movable cultural relics, studies their materials, making techniques and causes of damage, researches conservation materials and techniques, monitors relics and their environment, and designs conservation plans.

Main tasks

Ways in

Pay · AI and this job

Who does this work

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Questions people ask

How do I become an Objects Conservator?

Ways in include: Arts & Humanities degrees; Higher vocational college (高职专科) major: Cultural Relics Restoration and Conservation (550404); Vocational bachelor (职业本科) major: Cultural Relics Restoration and Conservation (350401).

How much does an Objects Conservator earn in China?

Across China, the median pay of enterprise employees is CN¥83,000 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 News, Publishing and Cultural Professionals. In Guangzhou alone it is CN¥112,069 a year (2025).

Will AI change the work of an Objects Conservator?

Generative AI could change some tasks in this job, 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