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Linguistic Data Annotation Jobs (NOW HIRING)

Prolim Global

Facebook - Linguist III

Burlingame, CA · On-site

We are seeking candidates with strong linguistic data analysis and language technology experience to manage data collection, LLM-powered data synthesis and data annotation tasks, prompt engineering ...

Welocalize, Inc.

Data Labeling Associate

New York, NY

$17.50 - $22.75/hr

The ideal candidate will have a foundational understanding of machine learning, data annotation ... Ensure linguistic accuracy in all processed and annotated data. REQUIREMENTS Preferred ...

Welocalize, Inc.

Data Labeling Associate

$16.50 - $21.25/hr

The ideal candidate will have a foundational understanding of machine learning, data annotation ... Ensure linguistic accuracy in all processed and annotated data. REQUIREMENTS Preferred ...

Welocalize, Inc.

Data Labeling Associate

New York, NY

$17.50 - $22.75/hr

The ideal candidate will have a foundational understanding of machine learning, data annotation ... Ensure linguistic accuracy in all processed and annotated data. REQUIREMENTS Preferred ...

Welocalize, Inc.

Data Labeling Associate

San Diego, CA · On-site

$17 - $22/hr

The ideal candidate will have a foundational understanding of machine learning, data annotation ... Ensure linguistic accuracy in all processed and annotated data. REQUIREMENTS Preferred ...

Genesys

Language Data Specialist - Korean

Analyze linguistic patterns and identify errors to enhance data quality and reduce model inconsistencies * Collaborate with research teams to resolve ambiguities and refine annotation guidelines for ...

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Linguistic Data Annotation information

What is linguistic data annotation?

Linguistic data annotation is the process of labeling or tagging language data, such as text or speech, with relevant linguistic information. This can include marking parts of speech, named entities, syntactic structures, or semantic roles to help train and evaluate natural language processing (NLP) models. Annotators follow specific guidelines to ensure consistency and accuracy, making the data usable for machine learning tasks. Linguistic data annotation is essential for developing AI applications like chatbots, translation systems, and speech recognition software.

What are the key skills and qualifications needed to thrive as a linguistic data annotator?

To thrive as a Linguistic Data Annotator, you need a strong grasp of linguistics, attention to detail, and proficiency in at least one language, often supported by a degree in linguistics or a related field. Familiarity with annotation tools, text analysis software, and basic data management systems is typically required. Exceptional analytical thinking, consistency, and the ability to follow detailed guidelines are crucial soft skills in this position. These skills ensure high-quality, accurate data that directly supports the development and training of language technologies.

What are some common challenges faced by linguistic data annotators, and how can they be addressed?

Linguistic data annotation often involves interpreting ambiguous or context-dependent language, which can be challenging, especially when dealing with idiomatic expressions, slang, or multiple languages. Consistency in labeling is critical, so annotators must regularly review guidelines and communicate with team members to resolve uncertainties. Many teams use collaborative tools and periodic calibration sessions to ensure high-quality, uniform annotations. Staying detail-oriented and open to feedback helps annotators continuously improve their work and adapt to evolving project requirements.

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

AspectLinguistic Data AnnotationData Labeling Specialist
CredentialsBasic understanding of linguistics, language skillsGeneral data labeling skills, attention to detail
Work EnvironmentTech companies, AI development teamsData annotation firms, AI/ML companies
Industry UsageNatural language processing, speech recognitionComputer vision, image and video annotation
Search/Comparison IntentUnderstanding linguistic annotation rolesGeneral data labeling roles

While both roles involve preparing data for AI models, Linguistic Data Annotation focuses on language-specific tasks like transcribing, tagging, and annotating text or speech data. Data Labeling Specialists handle a broader range of data types, including images and videos, with less emphasis on linguistic expertise. The roles often overlap in AI development but differ in the type of data and skills required.

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Linguistic Data Annotation jobs near you
Infographic showing various Linguistic Data Annotation job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Annotation Engineer

Louisville, KY • On-site

Tanisha Systems, Inc.
1 - 5K employees
Learn more about Tanisha Systems, Inc.external

Other

Posted 4 days ago

Job description

Data Annotation Engineer
Location - Louisville, Kentucky (Day 1 onsite)
Pay Rate: Market- based on experience
We are looking for an Annotation Program Lead to manage our AI Quality Annotation Program. This individual will oversee the operational execution of human review activities that establish the gold-standard datasets used to measure conversational AI performance, safety, and compliance.
The ideal candidate combines strong program management skills with experience in quality assurance, data annotation operations, and stakeholder engagement.
  • Lead the day-to-day operation of the AI annotation program.
  • Manage a team of annotators responsible for reviewing customer conversations and AI interactions.
  • Develop annotation guidelines, procedures, and quality standards.
  • Establish calibration programs and quality assurance processes to ensure consistency across reviewers.
  • Partner with Data Scientists to create and maintain gold-standard datasets.
  • Monitor annotation accuracy, throughput, and quality metrics.
  • Coordinate reporting and deliverables for Legal, Compliance, Responsible AI, and executive stakeholders.
  • Manage annotation workflows and tooling including setting up annotation jobs, running data processing scripts, and testing annotation UIs for quality before job launch.
  • Plan capacity requirements to support seasonal increases in review volume.
  • Support future expansion into multilingual evaluation programs.
  • Identify process improvements that increase efficiency and annotation quality.
  • Bachelor's degree or equivalent experience in Linguistics/Psychology.
  • 5+ years of experience in program management, operations, quality assurance, data labeling, or related fields.
  • Experience leading teams and managing operational workflows.
  • Strong organizational and stakeholder management skills.
  • Ability to analyze quality metrics and drive continuous improvement initiatives.
  • Excellent written and verbal communication skills.
  • Familiarity with Python/R, SQL and Excel. Should be familiar with running scripts on language data.
  • Strong organizational and stakeholder management skills.
  • Ability to analyze quality metrics and drive continuous improvement initiatives.
  • Excellent written and verbal communication skills.
  • Familiarity with Python/R, SQL and Excel. Should be familiar with running scripts on language data.
  • Experience supporting AI, machine learning, or data annotation programs.
  • Familiarity with Responsible AI, compliance, legal review, or governance processes.
  • Experience developing operational standards and quality frameworks.
  • Experience managing vendor or contractor resources.


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