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Full Time Linguistic Annotation Jobs (NOW HIRING)

CaptionCall

Sign Language Specialist

Salt Lake City, UT · On-site

$27.74 - $46.30/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... hearing! Full time Benefits * Paid Vacation Time and Paid Sick Time and Paid Holidays * 401k 6% ... Experience 2 Years of substantive professional ASL work (annotation, linguistics, interpreting ...

Sorenson Communications

Sign Language Specialist

Salt Lake City, UT · On-site

$27.74 - $46.30/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... hearing! Full time Benefits * Paid Vacation Time and Paid Sick Time and Paid Holidays * 401k 6% ... Experience 2 Years of substantive professional ASL work (annotation, linguistics, interpreting ...

Sorenson

Sign Language Specialist

Salt Lake City, UT

... hearing! Full time Benefits * Paid Vacation Time and Paid Sick Time and Paid Holidays * 401k 6% ... Experience 2 Years of substantive professional ASL work (annotation, linguistics, interpreting ...

CaptionCall

Sign Language Specialist

Salt Lake City, UT · On-site

$57K - $96K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... hearing! Full time Benefits * Paid Vacation Time and Paid Sick Time and Paid Holidays * 401k 6% ... Experience 2 Years of substantive professional ASL work (annotation, linguistics, interpreting ...

RWS Group

You will play a key role in ensuring top-notch data integrity across AI annotation, RLHF ... Employment Type: FULL_TIME

RWS Group

You will play a key role in ensuring top-notch data integrity across AI annotation, RLHF ... Employment Type: FULL_TIME

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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 Aug 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 is a full time linguistic annotation job?

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?

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 August 2026, with employment types broken down into 3% As Needed, 70% Full Time, 21% Part Time, 1% Temporary, and 5% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $58,415 per year, or $28.1 per hour.

Data Annotation Specialist - South Bay, CA (On Site)

Welo Global

Menlo Park, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 28 days ago

Job description

OVERVIEW
Welo Data is looking for a skilled Data Analyst to join our team and contribute to advancing AI technologies. This role offers a unique opportunity to engage directly with cutting-edge AI products, supporting the refinement and performance of machine learning models through precise data analysis and quality assurance.
Project Details
Job Title: Data Analyst
Location: Bay Area, CA (Onsite)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
Must have valid work authorization in the US (Welocalize does not sponsor VISAs at this time).
This role is an incredible chance to be at the forefront of AI technology, helping shape the future by testing new products, updating machine learning models, and ensuring high-quality data for impactful AI solutions.
Key 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.

Preferred Qualifications
  • 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.

Benefits
  • Paid Sick Time & Paid Holiday (combined): 15 days
  • Paid Holidays: Memorial Day and Labor Day
  • Medical Insurance (subject to eligibility requirements)
  • Dental Insurance
  • Vision Insurance
  • Health Savings Account (HSA)
  • Voluntary Life Insurance
  • Accident, Critical Illness, and Hospital Indemnity Insurance
  • Telemedicine Benefit
  • 401(k) Retirement Plan
  • Employee Assistance Program

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.

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