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Manager Linguistic Annotation Jobs (NOW HIRING)

Gap International

Linguist

Springfield, PA · On-site

ABOUT THE ROLE Global management consulting firm Gap International , based in the Philadelphia area ... Translate advanced linguistic and cognitive theory into practical models, tools, and interventions ...

Gap International

Linguist

Springfield, PA · On-site

ABOUT THE ROLE Global management consulting firm Gap International , based in the Philadelphia area ... Translate advanced linguistic and cognitive theory into practical models, tools, and interventions ...

Gap International

Linguist

Philadelphia, PA

ABOUT THE ROLE Global management consulting firm Gap International , based in the Philadelphia area ... Translate advanced linguistic and cognitive theory into practical models, tools, and interventions ...

Welocalize, Inc.

Data Labeling Associate

New York, NY

$17.50 - $22.75/hr

Data Management and Annotation: * Design and develop test and training datasets as per the criteria ... Ensure linguistic accuracy in all processed and annotated data. REQUIREMENTS Preferred ...

Welocalize, Inc.

Data Labeling Associate

San Diego, CA

$17 - $22/hr

Data Management and Annotation: * Design and develop test and training datasets as per the criteria ... Ensure linguistic accuracy in all processed and annotated data. REQUIREMENTS Preferred ...

Welocalize, Inc.

Data Labeling Associate

New York, NY

$17.50 - $22.75/hr

Data Management and Annotation: * Design and develop test and training datasets as per the criteria ... Ensure linguistic accuracy in all processed and annotated data. REQUIREMENTS Preferred ...

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Manager Linguistic Annotation information

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$64.2K

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How much do manager linguistic annotation jobs pay per year?

As of Jul 14, 2026, the average yearly pay for manager linguistic annotation in the United States is $64,154.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $84,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Manager Linguistic Annotation, and why are they important?

To thrive as a Manager Linguistic Annotation, you need expertise in linguistics or computational linguistics, experience with annotation projects, and often an advanced degree in a related field. Familiarity with annotation tools, data management systems, and project management software is typically required. Strong leadership, communication, and organizational skills help manage teams, meet deadlines, and ensure high-quality output. These abilities are crucial for overseeing complex annotation workflows and delivering accurate linguistic data for AI and NLP applications.

What are Manager Linguistic Annotation jobs?

Manager Linguistic Annotation jobs involve overseeing teams that label and annotate linguistic data, such as text, audio, or speech, to train and improve artificial intelligence and natural language processing systems. These managers are responsible for project planning, quality assurance, and ensuring that annotation guidelines are followed. They often collaborate with linguists, data scientists, and engineers to deliver high-quality annotated datasets on time. Strong communication skills, attention to detail, and experience in linguistics or language technology are typically required for this role.

How does a Manager of Linguistic Annotation typically collaborate with cross-functional teams to ensure project success?

A Manager of Linguistic Annotation frequently works alongside data scientists, computational linguists, software engineers, and product managers to align annotation guidelines with project goals. This role involves coordinating annotation tasks, clarifying linguistic requirements, and ensuring data quality through regular feedback sessions. Effective communication and the ability to translate linguistic concepts for non-specialist teammates are crucial. By fostering collaboration, the manager ensures that annotated datasets are accurate, consistent, and useful for downstream applications such as machine learning models.
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Manager Linguistic Annotation jobs near you
Infographic showing various Manager Linguistic Annotation job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 23% Full Time, 21% Part Time, 23% Contract, and 31% Nights. Highlights an 34% Physical, and 66% Remote job distribution, with an average salary of $64,154 per year, or $30.8 per hour.
Infrastructure Engineering - Linguist III

Infrastructure Engineering - Linguist III

Infotech Sourcing

Seattle, WA • On-site

Full-time

Re-posted 12 days ago

Job description

Job Title: Infrastructure Engineering - Linguist III
Location: US - NY - Remote
Duration: 8 months with possible extension
Job Title: Linguist lII (FAIR)
Main duties:
Perform linguistic analyses on large datasets.
Perform linguistic error analysis of AI model outputs, determining what the most frequent and severe error categories are.
Write and revise guidelines for human annotation and other AI projects, including but not limited to translation tasks.
Conduct typological and sociolinguistic research on a large number of languages, highlighting their similarities and differences.
Perform linguistic analyses for Responsible AI (toxic language, hate speech, gender bias and other cultural biases) in massively multilingual settings.
Conduct linguistic literature reviews on various NLP-adjacent topics, and summarize findings.
Compare the quality of deliveries between vendors, identify error patterns, and provide actionable feedback.
Provide information or guidance relative to any aspect of linguistic knowledge (typology, morpho-syntax, sociolinguistics, classification, phonetics/phonology, pragmatics, etc.).
Reach out to and collaborate with native speakers in various languages.
Communicate results of linguistic analyses to engineers and research scientists.
Skills:
Must have strong written and spoken communication skills, especially business and research communication.
Must be near-native proficient in one of the two following languages: German or Turkish and must have a high level of proficiency (CEFRL C1) in the other one of the two previously mentioned languages
Working knowledge in other languages is a plus. Proficiency in a low-resource language is valued.
Must be able to code in Python (must) and query databases using SQL, other coding languages used for data analysis are a plus.
Must be able to independently work through complex requests and perform under pressure.
Strong ability to work independently, prioritize, plan, and track work, as well as report progress
education or training in the basics of project management is a plus
self-motivation is a must
Working knowledge of international language-classification standards is valued.
Education:
Graduate degree in Linguistics or related field is a must; PhD is a plus
a background or specialization in corpus linguistics is a plus
experience with field work is a plus
a graduate degree in Literature or English is not an appropriate substitution
degree in Computer Science with a specialization in NLP is not an appropriate substitution
Must have a very firm grasp of the following linguistic fields: language typology, syntax, morphology, sociolinguistics (especially dialectology and discourse analysis), corpus linguistics, writing systems, pragmatics, phonology.
Must have some experience with applying basic Natural Language Processing techniques.
Experience
Years of experience: 0-3
Experience working cross-functionally
Experience collaborating with machine learning, NLP, or software engineers, or data scientists
Experience contributing to research papers
Important: Preferably no known conflicts of interest in the fields of machine translation, ASR, TTS, or LLM research (as FAIR Linguists need to be contributing to research papers)

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