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Remote Ai Linguistics Jobs (NOW HIRING)

Infotech Sourcing

Linguist III

PR · Remote

US - NY - Remote Duration:8 months Job Title: Linguist lII (FAIR) Main duties: Perform linguistic analyses on large datasets. Perform linguistic error analysis of AI model outputs, determining what ...

Sigma Group

Tamil Translator (Remote) | Sigma AI

$45K - $58K/yr

AI - Shaping the Future of Artificial Intelligence What is Sigma? Sigma is a leading global ... Linguist with native or near-native proficiency in Tamil * Fluent in English with the ability to ...

Apex Informatics

Linguist III

Remote Top 3 must-have HARD skills: 1 Native fluency in French/Italian 2 Experience with language ... Master's degree in general Linguistics or Linguistics with an emphasis on Romance languages ...

Meridial

$65/hr

Largescale language models are evolving from clever chatbots into powerful engines of linguistic ... Remote Seniority level: MidSenior Level

LILT (Production)

Linguist - Hawaiian - Remote

Honolulu, HI · Remote

$34 - $36.25/hr

A recognized graduate qualification in translation, linguistics, or language studies. * Or a ... Contribute to cutting-edge AI and language technology that is shaping how humans and machines ...

LILT, Inc

Linguist - Hebrew - Remote

A graduate qualification in translation, linguistics, or language studies, OR * A graduate ... Contribute to cutting-edge AI and language technology that is shaping how humans and machines ...

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How much do remote ai linguistics jobs pay per year?

As of Jul 19, 2026, the average yearly pay for remote ai linguistics 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 the difference between Remote Ai Linguistics vs Remote Language Data Annotator?

AspectRemote Ai LinguisticsRemote Language Data Annotator
Required CredentialsDegree in linguistics, AI, or related field; knowledge of NLPBasic language proficiency; attention to detail
Work EnvironmentRemote, collaborative teams, often with tech companiesRemote, individual or team annotation tasks
Employer & IndustryTech companies, AI startups, research institutionsData annotation firms, AI companies
Search & Comparison IntentUnderstanding roles in AI linguistics and NLPClarifying data annotation jobs in language processing

Remote Ai Linguistics involves working on developing and improving AI language models, requiring specialized linguistic and technical skills. In contrast, Remote Language Data Annotator focuses on labeling and preparing language data for AI training, often with less technical expertise. Both roles are remote and industry-related but differ in complexity and focus.

What are the key skills and qualifications needed to thrive as a Remote AI Linguistics specialist, and why are they important?

To thrive as a Remote AI Linguistics specialist, you need a strong background in linguistics, computational linguistics, or natural language processing, often supported by a relevant degree. Familiarity with programming languages like Python, machine learning frameworks, and linguistic annotation tools is typically required. Exceptional analytical thinking, attention to detail, and clear communication skills help you collaborate and solve complex language-related problems. These competencies ensure the development of accurate, culturally aware AI language models and effective remote teamwork.

What is a Remote AI Linguist?

A Remote AI Linguist is a professional who works from a remote location to help develop, train, and improve artificial intelligence systems related to language. Their responsibilities typically include analyzing linguistic data, creating language resources, refining natural language processing (NLP) models, and ensuring AI systems accurately understand and generate human language. They collaborate with engineers and data scientists to enhance machine learning algorithms, translation tools, chatbots, and speech recognition technologies. This role often requires expertise in linguistics, computational linguistics, and familiarity with AI and machine learning concepts.

How does a Remote AI Linguistics professional typically collaborate with cross-functional teams in a virtual setting?

Remote AI Linguistics professionals often work closely with software engineers, data scientists, and product managers to develop and refine language models or NLP applications. Collaboration is usually conducted via virtual meetings, shared documentation platforms, and project management tools. Clear communication and proactive updates are essential, as team members may be distributed across different time zones. Building strong relationships and maintaining regular check-ins help ensure linguistic insights are effectively integrated into product development.
More about Remote Ai Linguistics jobs
What cities are hiring for Remote Ai Linguistics jobs? Cities with the most Remote Ai Linguistics job openings:
What are the most commonly searched types of Ai Linguistics jobs? The most popular types of Ai Linguistics jobs are:
What states have the most Remote Ai Linguistics jobs? States with the most job openings for Remote Ai Linguistics jobs include:
What job categories do people searching Remote Ai Linguistics jobs look for? The top searched job categories for Remote Ai Linguistics jobs are:
Remote Ai Linguistics jobs near you
Infographic showing various Remote Ai Linguistics job openings in the United States as of July 2026, with employment types broken down into 39% Full Time, 27% Part Time, 7% Temporary, and 27% Contract. Highlights an 100% Remote job distribution, with an average salary of $58,415 per year, or $28.1 per hour.
Linguist III

Linguist III

Infotech Sourcing

PR • Remote

Other

Re-posted 16 days ago

Job description

Job Title: Infrastructure Engineering - Linguist III
Location: US - NY - Remote
Duration:8 months
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 a native speaker of a non-English language (preferably Hindi) with a high level of proficiency in another Indo-Aryan or South Dravidian language, plus broad knowledge of other languages in either of those two groups.
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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