1

Linguistic Annotation Jobs (NOW HIRING)

Translate advanced linguistic and cognitive theory into practical models, tools, and interventions ... Familiarity with computational approaches (e.g., corpus methods, annotation, NLP literacy)

Translate advanced linguistic and cognitive theory into practical models, tools, and interventions ... Familiarity with computational approaches (e.g., corpus methods, annotation, NLP literacy)

Strong analytical and linguistic skills, and an interest in computational linguistics, natural language processing, or semantic annotation. Pay Range Disclosure The University's pay ranges represent ...

Senior Sign Language Specialist

Salt Lake City, UT · On-site +1

$66K/yr

Experience 3 Years of substantive professional ASL work (annotation, linguistics, interpreting, Deaf education, or comparable). Knowledge, Skills, and Abilities * Required * Bilingual in ASL in ...

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 ...

Data Labeling Associate

San Diego, CA

$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 ...

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 ...

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 ...

Showing results 41-60

Linguistic Annotation information

See salary details

$45K

$58.4K

$97.5K

How much do linguistic annotation jobs pay per year?

As of Aug 22, 2026, the average yearly pay for 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 is linguistic annotation?

A Linguistic Annotation job involves labeling and tagging linguistic data, such as text, speech, or images, to help train AI models in natural language understanding. Annotators apply linguistic rules and guidelines to mark elements like syntax, semantics, sentiment, or named entities. This work is essential for improving machine learning models used in applications like chatbots, speech recognition, and translation systems. Strong language skills, attention to detail, and familiarity with linguistic concepts are often required for this role.

What are the typical daily responsibilities of a linguistic annotation specialist?

As a Linguistic Annotation specialist, your daily tasks often include labeling or tagging textual, audio, or visual data according to detailed linguistic guidelines provided by the project or client. You may collaborate closely with computational linguists, project managers, and other annotators to address ambiguities and ensure consistency. The work often requires careful review and revision as guidelines evolve, and you may also participate in team meetings or training sessions to stay up to date with best practices. This role is suited for detail-oriented individuals who enjoy working both independently and as part of a collaborative team focused on advancing language technology.

What are the key skills and qualifications needed to thrive in the linguistic annotation position, and why are they important?

To thrive as a Linguistic Annotation specialist, you need a strong grasp of linguistics, attention to detail, and proficiency in at least one language, often supported by a relevant degree or coursework. Familiarity with annotation software, text analysis tools, and in some cases, experience with programming languages like Python, is commonly required. Excellent communication, time management, and teamwork skills are crucial for clarifying guidelines and meeting project deadlines. These competencies ensure linguistic data is accurately labeled and processed, which directly impacts the quality of language technology products.

Do linguistic annotators make good money?

Linguistic annotators typically earn hourly wages that vary depending on experience, location, and employer, with rates often ranging from minimum wage to higher levels for specialized skills. Entry-level positions may pay around minimum wage, while experienced annotators or those with additional skills can earn higher pay, especially in companies that offer remote work or flexible schedules.
More about Linguistic Annotation jobs

What cities are hiring for Linguistic Annotation jobs?

Cities with the most 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 Linguistic Annotation jobs?

States with the most job openings for Linguistic Annotation jobs include:

Infographic showing various Linguistic Annotation job openings in the United States as of August 2026, with employment types broken down into 3% As Needed, 70% Full Time, 22% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $58,415 per year, or $28.1 per hour.

Infrastructure Engineering - Linguist III

Infotech Sourcing

Seattle, WA • On-site

Full-time

Re-posted 21 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)