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Language Data Annotation Jobs (NOW HIRING)

Welo Data

Data Labeling Associate

Sunnyvale, CA · On-site

$34/hr

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide? WHAT YOU'LL DO * Execute Data labelling and annotation tasks across speech and ...

Welo Data

Data Labeling Associate

Chicago, IL · On-site

$34/hr

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide? WHAT YOU'LL DO * Execute Data labelling and annotation tasks across speech and ...

Welo Data

Data Labeling Associate

San Francisco, CA · On-site

$34/hr

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide? WHAT YOU'LL DO * Execute Data labelling and annotation tasks across speech and ...

Welo Data

Data Labeling Associate

Austin, TX · On-site

$34/hr

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide? WHAT YOU'LL DO * Execute Data labelling and annotation tasks across speech and ...

Welo Data

Data Labeling Associate

Bellevue, WA · On-site

$34/hr

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide? WHAT YOU'LL DO * Execute Data labelling and annotation tasks across speech and ...

Welo Data

Data Labeling Associate

Redmond, WA · On-site

$34/hr

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide? WHAT YOU'LL DO * Execute Data labelling and annotation tasks across speech and ...

Welo Data

Data Labeling Associate

Seattle, WA · On-site

$34/hr

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide? WHAT YOU'LL DO * Execute Data labelling and annotation tasks across speech and ...

Welo Data

Data Labeling Associate

New York, NY · On-site

$34/hr

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide? WHAT YOU'LL DO * Execute Data labelling and annotation tasks across speech and ...

Welo Data

Data Labeling Associate

Boston, MA · On-site

$34/hr

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide? WHAT YOU'LL DO * Execute Data labelling and annotation tasks across speech and ...

Expert Technology Services

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

Data Annotator & QA Reviewer - Autonomy & Robotics (Mining) - Perform manual data annotation and quality assurance (QA) review for perception and VLA (Vision-Language-Action) data, including video ...

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Language Data Annotation information

What is language data annotation?

Language Data Annotation is the process of labeling or tagging linguistic data such as text, audio, or video with relevant information to make it understandable for machines. This often involves tasks like tagging parts of speech, identifying named entities, or transcribing spoken words. The annotated data is then used to train, validate, and test language models and other AI systems, improving their ability to understand and process human language. Language data annotators play a crucial role in developing technologies like chatbots, voice assistants, and translation services.

What skills and qualifications are needed to thrive as a language data annotator?

To thrive as a Language Data Annotator, you need strong linguistic skills, attention to detail, and familiarity with language structures, often supported by a background in linguistics or a related field. Experience with annotation tools, text labeling platforms, and sometimes scripting languages like Python is typically required. Excellent communication, critical thinking, and the ability to follow complex guidelines help annotators produce high-quality, consistent data. These skills ensure that annotated datasets are accurate and reliable, which is crucial for developing effective natural language processing models.

What challenges do language data annotators face, and how can they be managed?

Language data annotators often encounter challenges such as handling ambiguous text, maintaining consistency across large datasets, and meeting tight deadlines. Ambiguity can arise from slang, idioms, or context-dependent meanings, requiring annotators to use clear guidelines and sometimes consult with team leads or linguists. Consistency is managed through regular calibration meetings and quality checks. Collaborating closely with team members and leveraging annotation tools also helps streamline workflows and uphold high-quality standards.

What is the difference between Language Data Annotation vs Data Labeling Specialist?

AspectLanguage Data AnnotationData Labeling Specialist
Primary FocusAnnotating language data such as text, speech, and transcriptsLabeling various data types including images, videos, and audio
Skills RequiredLanguage proficiency, linguistic knowledge, annotation toolsGeneral labeling tools, data understanding, attention to detail
Work EnvironmentData annotation platforms, remote or office-basedData labeling platforms, remote or office-based
Industry UsageNatural language processing, speech recognition, AI trainingComputer vision, autonomous vehicles, AI datasets

Language Data Annotation specialists focus on preparing language-related data for AI models, emphasizing linguistic accuracy. Data Labeling Specialists work across various data types, including images and videos, to help train machine learning algorithms. While both roles involve data annotation, their specific focus and skill sets differ based on data type and application.

What other helpful pages are available for Language Data Annotation?

Other pages related to Language Data Annotation:

Infographic showing various Language Data Annotation job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Data Annotation Specialist - Seattle (On Site)

Seattle, WA • On-site

Welocalize
Translation Services • 1 - 5K employees
Learn more about Welocalizeexternal

Full-time

Re-posted 19 days ago

Welocalize rating

6.5

Company rating: 6.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

340th of 500 rated business services

Job description

Job Summary:
Welo Data is looking for a skilled Data Analyst to join their team and contribute to advancing AI technologies. This role involves engaging with cutting-edge AI products, supporting machine learning models through data analysis and quality assurance.
Responsibilities:
• Test new AI products and provide actionable feedback to improve functionality and user experience.
• Conduct detailed data annotation and quality assurance of natural language datasets following established guidelines.
• Collaborate in updating and refining machine learning models to boost accuracy and effectiveness.
• Analyze data for consistency, relevancy, and alignment with project goals.
• Perform quality control to identify and report anomalies, error patterns, and discrepancies.
• Use basic data analysis methods to extract insights and support continuous improvement.
• Prepare clear and concise reports on findings, including observations on data quality, AI model performance, and user feedback.
Qualifications:
Required:
• Must have valid work authorization in the US (Welocalize does not sponsor VISAs at this time).
Preferred:
• University degree in linguistics, translation, or a related field.
• 3-5 years of professional linguistics experience.
• Strong analytical skills with the ability to detect patterns and anomalies.
• Excellent communication skills and the ability to work collaboratively in a fast-paced environment.
• Adaptability to evolving priorities and project requirements.
Company:
Welocalize provides translation supply chain management solutions that deliver market-ready, translated content. Founded in 1997, the company is headquartered in Frederick, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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