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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 Jun 16, 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 June 2026, with employment types broken down into 100% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $58,415 per year, or $28.1 per hour.
Project Perseus \u007C Data Labeling Associate - Spanish Speakers (Human-in-the-Loop AI)

Project Perseus \u007C Data Labeling Associate - Spanish Speakers (Human-in-the-Loop AI)

Welo Data

Burlingame, CA

$34/hr

Full-time

Posted 24 days ago

Job description

Overview

Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate.

This is not a traditional annotation role.

You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines.

We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders.

Project Details

  • Job Title: Data Labeling Associate
  • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston
  • 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: $34/hour
  • Contract Duration: 1-year contract with possibility of extension
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: New York City, 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
  • Evaluate AI model outputs and provide structured, high-quality feedback
  • Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes
  • Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios
  • Contribute to improving evaluation frameworks, not just executing them
  • Identify trends in model performance and communicate insights clearly
  • Participate in team discussions, calibrations, and stakeholder syncs
  • Partner with leads and cross-functional teams to refine quality standards
  • Document findings in a clear, concise, and actionable way
What We’re Looking For
  • Native-level language proficiency and a university degree (Bachelor’s or higher).
  • B2 or superior level of English.  
  • 1–2 years of professional writing experience with strong, structured writing skills
  • Ability to apply complex writing rules and guidelines consistently
  • Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience
  • Strong critical thinking and attention to detail
  • Ability to make sound judgment calls in ambiguous situations
  • Naturally curious about AI, technology, and how systems behave
  • Comfortable speaking up, asking questions, and contributing ideas
  • Strong written and verbal communication skills
  • Ability to stay consistent while working with evolving guidelines
  • Experience in data quality, QA, annotation, or analysis is helpful — but not required
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.)
  • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
  • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
  • Unique Campus Features: Some locations include roof-top nature parks
  • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
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. 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.