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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.

Creative Writing Generative AI Analyst - USA (Remote)

Welo Global

Remote

$28.80/hr

Full-time

Posted 22 days ago

Job description

About the Role
We are hiring Creative Writing Generative AI Analysts in the United States to perform annotation efforts of multimedia and language data labeling and review work (e.g., video, images, and related metadata). This role focuses on annotation, data quality, prompt evaluation, and the creation of high-quality datasets used to train and improve generative AI models.
Project Details
  • Job Title: Creative Writing Generative AI Analyst
  • Location: Remote, USA
  • Hours: 40 hours per week
  • Employment Type: W2 Full-Time Employee
  • Pay Rate: $28.80/hour

What You'll Do
  • Perform annotation and labeling tasks for generative AI datasets, including text, image, video, and multimodal content
  • Create, review, and evaluate prompts and responses across a variety of domains and use cases
  • Conduct quality assurance reviews to ensure annotation accuracy, consistency, and adherence to guidelines
  • Assist in developing and refining annotation guidelines and evaluation criteria
  • Support data collection, categorization, tagging, and evaluation workflows for machine learning systems
  • Identify edge cases, inconsistencies, and quality issues within datasets and model outputs
  • Collaborate with internal teams and external partners to improve annotation quality and operational efficiency
  • Provide feedback on workflows, tooling, and annotation processes

Requirements:
  • Native level proficiency English with excellent written and verbal communication skills.
  • Work Authorization is required for the role.
  • Strong attention to detail and ability to follow complex annotation guidelines
  • Interest in creative writing, generative AI, machine learning, and emerging AI technologies
  • Experience with data annotation, content evaluation, labeling operations, or quality review workflows preferred
  • Bachelor's degree or equivalent practical experience

Ways to Stand Out from the Crowd
  • Familiarity with generative AI systems, large language models, RLHF, or multimodal AI workflows
  • Domain knowledge in Law/Medical/Math/Coding/etc is a plus
  • Bilingual proficiency is a plus (Korean, Japanese, Mandarin, Spanish, German, or French)
  • Experience annotating prompts, responses, images, video sequences, or other AI training data
  • QA/testing experience within AI, data operations, or content review environments
  • Experience working with evaluation rubrics, taxonomy development, or dataset quality initiatives
  • Python or scripting experience is a plus

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.

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