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Linguistic Reviewer Jobs (NOW HIRING)

... by the Linguistic Supervisor) summary in English in a format specified by our government customer. The Linguist shall review the summary for accuracy. * The Linguist will operate equipment such ...

... by the Linguistic Supervisor) summary in English in a format specified by our government customer. The Linguist shall review the summary for accuracy. * The Linguist will operate equipment such ...

... by the Linguistic Supervisor) summary in English in a format specified by our government customer. The Linguist shall review the summary for accuracy. * The Linguist will operate equipment such ...

Spanish Linguist

Key West, FL · On-site

$88K - $115K/yr

Mission Support: Provide direct linguistic support to real-world operations, focusing on ... Review, evaluate, and translate localized legal, military, political, technical, scientific, and ...

Showing results 41-60

Linguistic Reviewer information

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$10

$29

$48

How much do linguistic reviewer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for linguistic reviewer in the United States is $29.88, according to ZipRecruiter salary data. Most workers in this role earn between $22.60 and $36.54 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a linguistic reviewer, and why are they important?

To thrive as a Linguistic Reviewer, you need a strong command of the target language, expertise in grammar and style, and typically a degree in linguistics or a related field. Familiarity with CAT tools, translation management systems, and QA software is commonly required. Attention to detail, cultural sensitivity, and excellent communication are key soft skills in this role. These abilities ensure the delivery of accurate, culturally appropriate, and high-quality linguistic content for various audiences.

How does a linguistic reviewer typically collaborate with translators and project managers during the localization process?

Linguistic Reviewers work closely with translators to ensure that translated content is accurate, culturally appropriate, and consistent with client guidelines. They often participate in feedback sessions, clarify linguistic queries, and help resolve ambiguities in the source text. Collaboration with project managers is also key—they coordinate timelines, report on quality metrics, and flag potential issues that could impact project delivery. This teamwork ensures that final deliverables meet both linguistic and project standards.

What is a linguistic reviewer?

A linguistic reviewer is a language expert who examines written content to ensure its accuracy, clarity, and appropriateness in a specific language or cultural context. They review translations, localizations, and original texts for grammar, spelling, style, and tone, often providing feedback to improve the quality of communication. Linguistic reviewers are essential in industries like publishing, software localization, and global marketing, where clear and culturally relevant language is crucial.
More about Linguistic Reviewer jobs

What are the most commonly searched types of Linguistic Reviewer jobs?

The most popular types of Linguistic Reviewer jobs are:

Infographic showing various Linguistic Reviewer job openings in the United States as of August 2026, with employment types broken down into 78% Full Time, 16% Part Time, and 6% Contract. Highlights an 53% Physical, 3% Hybrid, and 44% Remote job distribution, with an average salary of $62,159 per year, or $29.9 per hour.

Infrastructure Engineering - Linguist III

Infotech Sourcing

Seattle, WA • On-site

Full-time

Re-posted 15 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)