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Full Time Linguistic Annotation information

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$45K

$58.4K

$97.5K

How much do full time linguistic annotation jobs pay per year?

As of Jul 6, 2026, the average yearly pay for full time linguistic annotation in the United States is $58,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,500.00 and $58,000.00 per year, depending on experience, location, and employer.

What are full time linguistic annotation jobs?

Full time linguistic annotation jobs involve analyzing, labeling, and categorizing language data to help train and improve natural language processing (NLP) systems, like speech recognition or machine translation. Linguistic annotators work with large datasets of text or audio, tagging elements like syntax, semantics, or sentiment according to specific guidelines. These roles require strong language skills, attention to detail, and often knowledge of linguistics or computational linguistics. Full time positions may be found at tech companies, research institutions, or linguistic data service providers.

What are the key skills and qualifications needed to thrive as a Full Time Linguistic Annotation Specialist, and why are they important?

To thrive as a Full Time Linguistic Annotation Specialist, you need a strong background in linguistics, excellent language proficiency, and attention to detail, often supported by a relevant degree or coursework. Familiarity with annotation tools, data labeling platforms, and basic scripting or database systems is typically required. Strong analytical thinking, teamwork, and clear communication skills help you effectively interpret data and collaborate with project teams. These skills are essential to ensure high-quality, consistent labeled data that supports the development of accurate natural language processing and AI models.

What are some common challenges faced by linguistic annotators in a full-time role, and how are these typically addressed within teams?

Full-time linguistic annotators often encounter challenges such as maintaining consistency across large datasets, understanding nuanced language phenomena, and keeping up with evolving annotation guidelines. Teams typically address these issues through regular training sessions, detailed documentation, and collaborative review processes. Open communication and feedback loops are also encouraged, allowing annotators to clarify ambiguities and share best practices, which helps ensure high-quality and reliable annotations.

What is the difference between Full Time Linguistic Annotation vs Data Labeling Specialist?

AspectFull Time Linguistic AnnotationData Labeling Specialist
CredentialsTypically requires linguistics or language-related degreesOften requires general technical or data-related training
Work EnvironmentOffice or remote, focused on language dataOffice or remote, focused on various data types
Industry UsageUsed in AI, NLP, speech recognition projectsUsed across AI, computer vision, and data science projects
Search & Comparison IntentOften searched by linguists or language specialistsOften searched by data science or AI professionals

Full Time Linguistic Annotation involves detailed language data work, often requiring linguistic expertise, while Data Labeling Specialists focus on broader data types with more general training. Both roles support AI development but differ in specialization and credentials.

More about Full Time Linguistic Annotation jobs
What cities are hiring for Full Time Linguistic Annotation jobs? Cities with the most Full Time Linguistic Annotation job openings:
What are the most commonly searched types of Linguistic Annotation jobs? The most popular types of Linguistic Annotation jobs are:
What states have the most Full Time Linguistic Annotation jobs? States with the most job openings for Full Time Linguistic Annotation jobs include:
What job categories do people searching Full Time Linguistic Annotation jobs look for? The top searched job categories for Full Time Linguistic Annotation jobs are:
Full Time Linguistic Annotation jobs near you
Infographic showing various Full Time Linguistic Annotation job openings in the United States as of July 2026, with employment types broken down into 14% Locum Tenens, 18% Full Time, 16% Part Time, 18% Contract, 32% Nights, and 2% Summer. Highlights an 34% Physical, and 66% Remote job distribution, with an average salary of $58,415 per year, or $28.1 per hour.
Project Perseus \u007C Speech & Voice AI Analyst - Arabic Speakers

Project Perseus \u007C Speech & Voice AI Analyst - Arabic Speakers

Welo Data

Seattle, WA • On-site

$26 - $28/hr

Full-time

Posted 4 days ago

Be an early applicant

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 Arabic 
  • 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.