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Linguistic Data Annotation Jobs in New York (NOW HIRING)

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 ...

Experience in data annotation, linguistic QA, content moderation, or AI model evaluation. * Training in linguistics, translation, or interpreting. * Ability to recognize unnatural or non-native Hindi.

Who You Are Required Background * 5+ years working at the intersection of ML and data - annotation ... Background in computer vision, robotics, cognitive science, linguistics, or a related field where ...

Blend linguistic creativity with sociocultural insight to simulate realistic, localized use cases ... Support data annotation, curation, and quality control processes * Summarize findings into ...

Blend linguistic creativity with sociocultural insight to simulate realistic, localized use cases ... Support data annotation, curation, and quality control processes * Summarize findings into ...

Perform linguistic analyses on large datasets. * Perform linguistic error analysis of AI model ... Write and revise guidelines for human annotation and other AI projects, including but not limited ...

Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences ... Experience working with speech/audio datasets, annotation workflows, or AI training data, including ...

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Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences ... Experience working with speech/audio datasets, annotation workflows, or AI training data, including ...

New

Work with technical staff to improve annotation tools for efficient audio workflows. BASIC ... Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality ...

New

Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences ... Experience working with speech/audio datasets, annotation workflows, or AI training data, including ...

New

Work with technical staff to improve annotation tools for efficient audio workflows. BASIC ... Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality ...

New

Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences ... Experience working with speech/audio datasets, annotation workflows, or AI training data, including ...

New

Collaborate with project participants to improve data collection, evaluation, and annotation ... Linguistics * Written and Verbal Communication * Translation and Localization * Language Content ...

Korean Language Expert

New York, NY · Remote

$65 - $100/hr

Collaborate with project participants to improve data collection, evaluation, and annotation ... Linguistics * Written and Verbal Communication * Translation and Localization * Language Content ...

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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.

What are popular job titles related to Linguistic Data Annotation jobs in New York?

For Linguistic Data Annotation jobs in New York, the most frequently searched job titles are:

What cities in New York are hiring for Linguistic Data Annotation jobs?

Cities in New York with the most Linguistic Data Annotation job openings:

Infographic showing various Linguistic Data Annotation job openings in New York as of August 2026, with employment types broken down into 56% Full Time, 9% Part Time, 9% Temporary, and 26% Contract. Highlights an 74% In-person, and 26% Remote job distribution.

Data Labeling Associate

New York, NY


Welocalize, Inc.
Translation Services • 1 - 5K employees

6.5

Company rating: 6.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

339th of 499 rated business services

People enjoy working here

Respectful managers

Good training


$17.50 - $22.75/hr

Full-time

Re-posted 4 days ago


Job description

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Job Responsibilities:

The ideal candidate will have a foundational understanding of machine learning, data annotation, quality assurance, and natural language processing. They will play a pivotal role in updating our machine learning models and ensuring their efficacy.

MAIN TASKS & RESPONSIBILITIES

Machine Learning Model Updates:

  • Update training and test model databases with new or amended synthetic textual and image data.
  • Modify and refine machine learning data creation, annotation, and rating guidelines.

Model Training and Evaluation:

  • Initiate model training processes using internal tools and command-line interfaces.
  • Evaluate the performance of trained models to gauge their efficacy and readiness for deployment.

Data Management and Annotation:

  • Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees.
  • Handle data efficiently, ensuring its integrity throughout the workflow.
  • Engage in data relevance tasks, ensuring data sets are aligned with project goals.
  • Annotate data accurately, ensuring it adheres to set guidelines.

Quality Assurance and Analysis:

  • Conduct manual quality analysis of model results.
  • Recognize error patterns and report anomalies for further investigation.
  • Deliver detailed reports on findings, including aspects such as utterance quality, LLM evaluation, ASR bug tracking, and customer pain points to be reviewed by the User Experience Research team.
  • Implement basic quality control measures and ensure the reliability of processed data.
  • Utilize intermediate data analysis techniques to extract insights and inform decision-making.
  • Arbitrate discrepancies effectively, ensuring consistent data quality.

Linguistic and NLP Tasks:

  • Apply basic knowledge of natural language processing and linguistics to data processing tasks.
  • Ensure linguistic accuracy in all processed and annotated data.

REQUIREMENTS

Preferred Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Linguistics or Computational Linguistics or a related field.

Experience:

  • Ability to work in a fast-paced, collaborative environment.
  • Excellent communication skills

Skills & Knowledge:

  • Familiarity with command-line tools and interfaces.
  • Strong analytical skills with the ability to identify patterns and anomalies.

Additional Information:

This role primarily focuses on English US data sets; however, familiarity with translation or multi-lingual data sets can be a plus for future projects.

Additional Job Details:



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