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Linguistic Data Annotation Jobs in Boston, MA (NOW HIRING)

Hatch IT

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

Experience with data quality evaluation, data annotation, or guideline design, preferably for linguistics. * Familiarity with Elasticsearch internals or other search/retrieval-based systems.

Babel Street

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

Since our platform processes data from around the globe, your linguistic insights can directly ... Experience with data quality evaluation, data annotation, or guideline design, preferably for ...

Hatch IT

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

Experience with data quality evaluation, data annotation, or guideline design, preferably for linguistics. * Familiarity with Elasticsearch internals or other search/retrieval-based systems.

Babel Street

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

Since our platform processes data from around the globe, your linguistic insights can directly ... Experience with data quality evaluation, data annotation, or guideline design, preferably for ...

YO AI Labs

Korean Language Expert

Boston, MA · 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 ...

YO AI Labs

Korean Language Expert

Boston, MA · 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.

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For Linguistic Data Annotation jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Linguistic Data Annotation jobs in Boston, MA look for?

The top searched job categories for Linguistic Data Annotation jobs in Boston, MA are:

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Cities near Boston, MA with the most Linguistic Data Annotation job openings:

Linguistic Data Annotation jobs near you
Infographic showing various Linguistic Data Annotation job openings in Boston, MA as of August 2026, with employment types broken down into 57% Full Time, 7% Part Time, 8% Temporary, and 28% Contract. Highlights an 66% In-person, and 34% Remote job distribution.

Japanese Language Expert - Remote

Boston, MA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$65 - $100/hr

Full-time

Posted 6 days ago

Job description

Job Title: Japanese Language Expert

Job Type: Contract
Location: Remote

Job Overview

We are seeking experienced Japanese Language Experts to contribute their linguistic expertise to a project focused on improving next-generation AI systems. In this role, you will work with Japanese and English audio and written content, ensuring accurate transcription, translation, contextual fidelity, and high-quality linguistic output.

No prior AI experience is required—your language expertise, attention to detail, and bilingual proficiency are what matter most.

Key Responsibilities
  • Accurately transcribe audio and written materials between Japanese and English.
  • Review, edit, and proofread transcripts to ensure linguistic accuracy, clarity, and contextual fidelity.
  • Identify and correct grammatical, terminology, and transcription errors.
  • Provide detailed linguistic feedback to improve transcription quality and consistency.
  • Collaborate with remote team members to maintain project quality standards and workflows.
  • Manage multiple transcription and language tasks while meeting project deadlines.
  • Maintain consistent formatting and high-quality deliverables across assignments.
  • Communicate effectively with team members through written and verbal channels.
Required Skills & Qualifications
  • Native or near-native proficiency in Japanese with strong command of English.
  • Demonstrated experience in transcription, translation, localization, or related language services.
  • Excellent written and verbal communication skills in both Japanese and English.
  • Exceptional attention to detail and commitment to transcription accuracy.
  • Ability to work independently while collaborating effectively within a remote team.
  • Proficiency with transcription software, digital tools, and collaboration platforms.
  • Strong organizational, prioritization, and time-management skills.
Preferred Qualifications
  • Prior experience with Japanese-English bilingual transcription projects.
  • Familiarity with technical, business, or industry-specific terminology.
  • Academic or professional background in linguistics, Japanese studies, translation, language studies, or a related field.
  • Experience reviewing or quality-checking language data.
  • Familiarity with AI, language technology, or data annotation projects is a plus.