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Chinese Annotation Jobs in Washington (NOW HIRING)

Chinese Annotation information

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?

AspectChinese AnnotationData Labeling
Required CredentialsBasic understanding of Chinese language and annotation toolsGeneral knowledge of labeling techniques, sometimes specific to data types
Work EnvironmentData annotation platforms, remote or office-basedData annotation platforms, remote or office-based
Industry UsageNatural language processing, AI training for Chinese language modelsMachine learning, AI training across various data types and languages
Search & Comparison IntentUnderstanding specific language annotation rolesBroader 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 are popular job titles related to Chinese Annotation jobs in Washington?

For Chinese Annotation jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Chinese Annotation jobs in Washington look for?

The top searched job categories for Chinese Annotation jobs in Washington are:

What cities in Washington are hiring for Chinese Annotation jobs?

Cities in Washington with the most Chinese Annotation job openings:

Infographic showing various Chinese Annotation job openings in Washington as of June 2026, with employment types broken down into 79% Full Time, 19% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, and 4% Remote job distribution.

Project Perseus \u007C Speech & Voice AI Analyst- Simplified Chinese Speakers

Welo Data

Washington, DC

$26 - $28/hr

Full-time

Posted 10 days ago


Job description

Overview

Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.

This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs.

While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale.

We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.

Project Details
  • Job Title: Data Labeling Analyst
  • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent) 
  • Hours: Full-time, 40 hours per week
  • Employment Type: W2 Full-Time Employee
  • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
  • Pay Rate: $26 - $28/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.
What You’ll Do
  • Execute high-volume data labeling and annotation tasks across speech and voice datasets
  • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
  • Work with audio and language data, including transcription, categorization, and tagging
  • Maintain strong throughput while meeting quality expectations
  • Escalate unclear or ambiguous cases appropriately
  • Adapt to evolving guidelines and workflows as systems and requirements change
  • Support baseline data production needs for AI training pipelines
  • Contribute to team calibrations and quality alignment sessions 
What We’re Looking For
  • Native-level fluency in Simplified Chinese
  • Strong written communication skills and language fundamentals
  • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field.
  • Ability to follow detailed instructions and apply guidelines consistently
  • High attention to detail and ability to maintain accuracy in repetitive tasks
  • Comfort working in structured, process-driven environments
  • Ability to manage time effectively and maintain steady output
  • Willingness to ask questions and escalate when needed
  • Basic familiarity with AI, speech technology, or language data is a plus 
Benefits
  • Paid Vacation: 6 days
  • Paid Company Holidays: 2 days (Memorial Day and Labor Day)
  • Paid Sick Leave: accrued per applicable state law and company policy
  • Medical, Dental, and Vision Insurance (eligibility applies)
  • Health Savings Account (HSA)
  • 401(k) Retirement Plan
  • Employee Assistance Program
  • Additional voluntary benefits (life, accident, critical illness, etc.)
Onsite Perks (where applicable):
Free breakfast, lunch, and dinner
Stocked micro-kitchens with snacks and beverages
Commuter benefits, including shuttles and bike-to-work options
Unique campus features depending on location
Why This Role

This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users.

It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.


Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
 
To know more details (Click here)
 
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
 
 
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
 
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.


Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.