... Chinese literature, or other language(s)/literature(s) • Background in and demonstrated ... annotation tools. - Record of peer-reviewed publications or technical contributions in NLP ...
... Chinese literature, or other language(s)/literature(s) • Background in and demonstrated ... annotation tools. - Record of peer-reviewed publications or technical contributions in NLP ...
Chinese Annotation information
See Pasadena, MD salary details
$17.47 is the 25th percentile. Wages below this are outliers.
$15.62 - $19.17
48% of jobs
The median wage is $19.67 / hr.
$19.17 - $22.72
15% of jobs
$24.85 is the 75th percentile. Wages above this are outliers.
$22.72 - $26.27
21% of jobs
$26.27 - $29.82
7% of jobs
$29.82 - $33.36
1% of jobs
$33.36 - $36.91
1% of jobs
$36.91 - $40.46
0% of jobs
$40.46 - $44.01
0% of jobs
$44.01 - $47.56
0% of jobs
$47.56 - $51.11
3% of jobs
$51.11 - $54.66
4% of jobs
$15
$24
$54
How much do chinese annotation jobs pay per hour?
As of Aug 22, 2026, the average hourly pay for chinese annotation in Pasadena, MD is $24.78, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $25.87 per hour, depending on experience, location, and employer.
What is Chinese annotation?
Chinese annotation is the process of labeling, tagging, or marking up Chinese language data—such as text, audio, or images—for use in training artificial intelligence and machine learning models. This work often involves identifying parts of speech, entities, sentiment, or translating and transcribing spoken Chinese. Annotators need to have strong proficiency in the Chinese language and a good understanding of linguistic nuances to ensure high-quality, accurate data. Chinese annotation is vital for improving natural language processing applications like chatbots, translation tools, and voice recognition systems.
What are the key skills and qualifications needed to thrive as a Chinese annotation specialist, and why are they important?
To thrive as a Chinese Annotation Specialist, you need strong proficiency in written Chinese, attention to linguistic details, and a background in linguistics or a related field. Familiarity with annotation tools, data labeling platforms, and sometimes basic programming or scripting is commonly required. Excellent communication, time management, and a keen eye for accuracy help specialists excel in this role. These skills ensure high-quality, consistent data labeling essential for developing reliable AI and machine learning models.
What are some common challenges faced by Chinese annotation specialists when working with multilingual datasets, and how can they be addressed?
Chinese Annotation specialists often encounter challenges such as handling language nuances, regional dialects, and context-specific meanings within multilingual datasets. Ensuring consistency in labeling and understanding subtle differences in word usage can be demanding. These challenges are typically addressed through thorough training, clear annotation guidelines, and regular team discussions to resolve ambiguities. Collaboration with linguists and native speakers also helps maintain accuracy and quality in annotations.
What is the difference between Chinese Annotation vs Data Labeling?
| Aspect | Chinese Annotation | Data Labeling |
|---|---|---|
| Required Credentials | Basic understanding of Chinese language and annotation tools | General knowledge of labeling techniques, sometimes specific to data types |
| Work Environment | Data annotation platforms, remote or office-based | Data annotation platforms, remote or office-based |
| Industry Usage | Natural language processing, AI training for Chinese language models | Machine learning, AI training across various data types and languages |
| Search & Comparison Intent | Understanding specific language annotation roles | Broader data labeling roles across industries |
Chinese Annotation focuses on labeling Chinese language data, primarily for NLP applications. Data Labeling is a broader role involving tagging various data types, including images, audio, and text, across multiple languages. While Chinese Annotation is specialized, Data Labeling covers a wider range of data preparation tasks for AI models.
What job categories do people searching Chinese Annotation jobs in Pasadena, MD look for?
The top searched job categories for Chinese Annotation jobs in Pasadena, MD are:
What cities near Pasadena, MD are hiring for Chinese Annotation jobs?
Cities near Pasadena, MD with the most Chinese Annotation job openings:
ARLIS Computational Linguistics with Security Clearance
College Park, MD • On-site
Other
Posted 19 days ago
University Of Maryland, Baltimore rating
7.7
Based on 13 frontline employees who took The Breakroom Quiz
262nd of 621 rated colleges and universities
Job description
Organization Summary
The Applied Research Laboratory for Intelligence and Security (ARLIS), based at the University of Maryland College Park, was established in 2018 under the auspices of the Office of the Under Secretary of Defense for Intelligence (USDI) to be a strategic asset for research and development in social systems, autonomy and augmentation, and advanced computing. One of only 15 designated Department of Defense University Affiliated Research Centers (UARCs) in the nation and the only UARC focused on supporting the intelligence community, ARLIS conducts both unclassified and classified research spanning from basic to applied system development and works to serve the US Government as an independent and objective trusted agent. The University of Maryland Applied Research Lab for Intelligence and Security (ARLIS) is seeking qualified applicants with experience in linguistics, computational linguistics and natural language processing (NLP). This is a full-time position. Successful candidates will contribute to a portfolio of ongoing government-sponsored projects. Key Responsibilities
- Conduct applied research in computational linguistics, NLP, and linguistic data modeling, including text analytics, entity recognition, and multilingual corpus development.
- Design and evaluate algorithms and workflows for linguistic and cultural data processing.
- Develop and maintain NLP pipelines and tools using Python and associated libraries (e.g., spaCy, scikit-learn, NLTK, Pandas, NumPy).
- Collaborate with interdisciplinary teams spanning AI, data science, and cognitive modeling.
- Author research reports, publications, and proposals in support of ongoing ARLIS projects.
- Engage with U.S. Government sponsors to translate research insights into operational applications.
Must be able to obtain a U.S. security clearance. If selected, you must meet the requirements for access to classified information and will be subject to a government security clearance investigation that includes criminal and credit history checks, as well as verification of U.S. citizenship, birth, education, employment, and military history. Minimum Qualifications
• Master’s or doctoral degree in linguistics, computational linguistics, or language/literature such as English literature, Chinese, Chinese literature, or other language(s)/literature(s)
• Background in and demonstrated proficiency with computational linguistics/natural language processing (NLP), regardless of degree area, such as through the application of NLP to problems in candidate’s area of expertise
• Minimum intermediate knowledge of Python for all-purpose use/application to a variety of problems (1+ years of regular use for NLP, data science, general scripting, etc. and comfort with all commonly used aspects of the language); 2+ years of regular use for professional applications/advanced knowledge preferred
• Previous experience with a variety of common Python packages and Python tasks preferred (e.g., Pandas, Numpy, general web requests/scripted API utilization, scikit-learn, spaCy, and/or similar) Preferred Qualifications
- Two (2) or more years of professional Python development experience.
- Experience with multilingual or cross-cultural language processing, including Mandarin Chinese or other non-English languages.
- Knowledge of Chinese cultural norms and linguistic structures.
- Prior experience supporting DoD, IC, or federal research programs.
- Experience with machine translation, corpus linguistics, or linguistic annotation tools.
- Record of peer-reviewed publications or technical contributions in NLP, linguistics, or language technology. Knowledge, Skills, and Abilities
- Strong grounding in linguistic theory, computational methods, and applied data science.
- Ability to prototype and deploy NLP workflows efficiently using Python-based tools.
- Effective written and verbal communication skills for technical and sponsor audiences.
- Collaborative mindset and ability to integrate with multidisciplinary teams.
- Commitment to responsible AI and ethical research practices. Physical Demands
Work is performed in an office or hybrid research environment. Occasional travel may be required for sponsor meetings or technical exchanges.
The Applied Research Laboratory for Intelligence and Security (ARLIS), based at the University of Maryland College Park, was established in 2018 under the auspices of the Office of the Under Secretary of Defense for Intelligence (USDI) to be a strategic asset for research and development in social systems, autonomy and augmentation, and advanced computing. One of only 15 designated Department of Defense University Affiliated Research Centers (UARCs) in the nation and the only UARC focused on supporting the intelligence community, ARLIS conducts both unclassified and classified research spanning from basic to applied system development and works to serve the US Government as an independent and objective trusted agent. The University of Maryland Applied Research Lab for Intelligence and Security (ARLIS) is seeking qualified applicants with experience in linguistics, computational linguistics and natural language processing (NLP). This is a full-time position. Successful candidates will contribute to a portfolio of ongoing government-sponsored projects. Key Responsibilities
- Conduct applied research in computational linguistics, NLP, and linguistic data modeling, including text analytics, entity recognition, and multilingual corpus development.
- Design and evaluate algorithms and workflows for linguistic and cultural data processing.
- Develop and maintain NLP pipelines and tools using Python and associated libraries (e.g., spaCy, scikit-learn, NLTK, Pandas, NumPy).
- Collaborate with interdisciplinary teams spanning AI, data science, and cognitive modeling.
- Author research reports, publications, and proposals in support of ongoing ARLIS projects.
- Engage with U.S. Government sponsors to translate research insights into operational applications.
Must be able to obtain a U.S. security clearance. If selected, you must meet the requirements for access to classified information and will be subject to a government security clearance investigation that includes criminal and credit history checks, as well as verification of U.S. citizenship, birth, education, employment, and military history. Minimum Qualifications
• Master’s or doctoral degree in linguistics, computational linguistics, or language/literature such as English literature, Chinese, Chinese literature, or other language(s)/literature(s)
• Background in and demonstrated proficiency with computational linguistics/natural language processing (NLP), regardless of degree area, such as through the application of NLP to problems in candidate’s area of expertise
• Minimum intermediate knowledge of Python for all-purpose use/application to a variety of problems (1+ years of regular use for NLP, data science, general scripting, etc. and comfort with all commonly used aspects of the language); 2+ years of regular use for professional applications/advanced knowledge preferred
• Previous experience with a variety of common Python packages and Python tasks preferred (e.g., Pandas, Numpy, general web requests/scripted API utilization, scikit-learn, spaCy, and/or similar) Preferred Qualifications
- Two (2) or more years of professional Python development experience.
- Experience with multilingual or cross-cultural language processing, including Mandarin Chinese or other non-English languages.
- Knowledge of Chinese cultural norms and linguistic structures.
- Prior experience supporting DoD, IC, or federal research programs.
- Experience with machine translation, corpus linguistics, or linguistic annotation tools.
- Record of peer-reviewed publications or technical contributions in NLP, linguistics, or language technology. Knowledge, Skills, and Abilities
- Strong grounding in linguistic theory, computational methods, and applied data science.
- Ability to prototype and deploy NLP workflows efficiently using Python-based tools.
- Effective written and verbal communication skills for technical and sponsor audiences.
- Collaborative mindset and ability to integrate with multidisciplinary teams.
- Commitment to responsible AI and ethical research practices. Physical Demands
Work is performed in an office or hybrid research environment. Occasional travel may be required for sponsor meetings or technical exchanges.
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Company size
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Headquarters location
Baltimore, MD, US
Year founded
1807