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Home Based Linguistic Annotation Jobs (NOW HIRING)

Perle AI

Expert Audio Transcriber, Hebrew (US, Canada, EU)

$20.50 - $26.50/hr

... or linguistic annotation experience * Demonstrated accuracy at the word level under deadline pressure * Comfortable with web-based annotation platforms and variable-speed audio playback * Reliable ...

Perle AI

$18 - $23.50/hr

... or linguistic annotation experience * Demonstrated accuracy at the word level under deadline pressure * Comfortable with web-based annotation platforms and variable-speed audio playback * Reliable ...

Jobgether

$65/hr

Experience with linguistic annotation, voice coaching, AI training, speech evaluation, or similar ... Flexible project-based working environment. * Opportunity to contribute directly to the development ...

Jobgether

$6 - $65/hr

The role combines professional voice performance with linguistic evaluation, annotation, and AI ... This processing is based on legitimate interest and pre-contractual measures under applicable data ...

PTR Global

Linguist III

Burlingame, CA · On-site

$50 - $55/hr

... annotation tasks, prompt engineering, rule-based classifier encoding, and quality evaluations. Job Responsibilities: * Provide linguistic expertise while delivering data for large language models

New

Prolim Global

Facebook - Linguist III

Burlingame, CA · On-site

... annotation tasks, prompt engineering, rule-based classifier encoding, and quality evaluations. Job Responsibilities: * Provide linguistic expertise while delivering data for large language models

TEKsystems

Phonetician

Menlo Park, CA · On-site +1

$40 - $45/hr

... Linguist - IPA Annotation Specialist About the Role We are looking for a skilled Linguist with ... is a Contract position based out of Menlo Park, CA. Pay and Benefits The pay range for this ...

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Home Based Linguistic Annotation information

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$45K

$58.4K

$97.5K

How much do home based linguistic annotation jobs pay per year?

As of Sep 5, 2026, the average yearly pay for home based 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 home based linguistic annotation?

Home based linguistic annotation involves working remotely to label or categorize language data, such as text or audio, for use in natural language processing (NLP) and artificial intelligence projects. Annotators may identify parts of speech, tag named entities, transcribe speech, or mark sentiment in various types of linguistic data. This work is essential for training machine learning models to better understand human language and improve technologies like voice assistants, translation apps, and chatbots. Typically, it requires strong language skills, attention to detail, and familiarity with linguistic concepts.

What are the key skills and qualifications needed to thrive as a home based linguistic annotation specialist?

To excel as a Home Based Linguistic Annotation Specialist, you need a solid grasp of linguistics, attention to detail, and proficiency in relevant languages, usually supported by a degree in linguistics or related fields. Familiarity with annotation platforms, data labeling tools, and sometimes scripting languages like Python is often required. Strong time management, self-motivation, and effective communication are important soft skills for remote collaboration and meeting project deadlines. These skills ensure high-quality, accurate data annotation, which is crucial for training reliable AI and language processing systems.

What are some common challenges faced by home based linguistic annotators, and how can they be addressed?

Home-based linguistic annotators often encounter challenges such as maintaining focus during repetitive tasks, managing deadlines across multiple projects, and ensuring consistency in annotation quality. To address these, it helps to establish a dedicated, distraction-free workspace and adhere to a structured daily routine. Regular communication with project managers and fellow annotators through online platforms also ensures clarity on guidelines and fosters a sense of teamwork, even while working remotely.

What is the difference between Home Based Linguistic Annotation vs Transcription Specialist?

AspectHome Based Linguistic AnnotationTranscription Specialist
Required CredentialsBasic language skills, attention to detailTyping speed, language proficiency, sometimes certification
Work EnvironmentRemote, flexible hoursRemote or on-site, flexible or fixed hours
Industry UsageAI training, linguistic researchMedia, legal, medical transcription
Common Search IntentJobs involving language annotation tasksJobs involving audio/video transcription

Home Based Linguistic Annotation involves labeling and tagging language data for AI models, requiring linguistic skills and attention to detail. Transcription Specialists focus on converting audio or video recordings into written text, often needing fast typing and language proficiency. While both roles are remote and involve language skills, they serve different industry needs and require distinct skill sets.

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

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Home Based Linguistic Annotation jobs near you
Infographic showing various Home Based Linguistic Annotation job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $58,415 per year, or $28.1 per hour.

ARLIS Computational Linguistics with Security Clearance

University of Maryland

College Park, MD • On-site

Other

Re-posted 3 days ago

University Of Maryland, Baltimore rating

7.7

Company rating: 7.7 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

265th of 630 rated colleges and universities

Job description

Organization Summary
The Applied Research Laboratory for Intelligence and Security (ARLIS), based at the University of Maryland College Park, was established in 2018 under the auspices of the Office of the Under Secretary of Defense for Intelligence (USDI) to be a strategic asset for research and development in social systems, autonomy and augmentation, and advanced computing. One of only 15 designated Department of Defense University Affiliated Research Centers (UARCs) in the nation and the only UARC focused on supporting the intelligence community, ARLIS conducts both unclassified and classified research spanning from basic to applied system development and works to serve the US Government as an independent and objective trusted agent. The University of Maryland Applied Research Lab for Intelligence and Security (ARLIS) is seeking qualified applicants with experience in linguistics, computational linguistics and natural language processing (NLP). This is a full-time position. Successful candidates will contribute to a portfolio of ongoing government-sponsored projects. Key Responsibilities
- Conduct applied research in computational linguistics, NLP, and linguistic data modeling, including text analytics, entity recognition, and multilingual corpus development.
- Design and evaluate algorithms and workflows for linguistic and cultural data processing.
- Develop and maintain NLP pipelines and tools using Python and associated libraries (e.g., spaCy, scikit-learn, NLTK, Pandas, NumPy).
- Collaborate with interdisciplinary teams spanning AI, data science, and cognitive modeling.
- Author research reports, publications, and proposals in support of ongoing ARLIS projects.
- Engage with U.S. Government sponsors to translate research insights into operational applications.
Must be able to obtain a U.S. security clearance. If selected, you must meet the requirements for access to classified information and will be subject to a government security clearance investigation that includes criminal and credit history checks, as well as verification of U.S. citizenship, birth, education, employment, and military history. Minimum Qualifications
• Master’s or doctoral degree in linguistics, computational linguistics, or language/literature such as English literature, Chinese, Chinese literature, or other language(s)/literature(s)
• Background in and demonstrated proficiency with computational linguistics/natural language processing (NLP), regardless of degree area, such as through the application of NLP to problems in candidate’s area of expertise
• Minimum intermediate knowledge of Python for all-purpose use/application to a variety of problems (1+ years of regular use for NLP, data science, general scripting, etc. and comfort with all commonly used aspects of the language); 2+ years of regular use for professional applications/advanced knowledge preferred
• Previous experience with a variety of common Python packages and Python tasks preferred (e.g., Pandas, Numpy, general web requests/scripted API utilization, scikit-learn, spaCy, and/or similar) Preferred Qualifications
- Two (2) or more years of professional Python development experience.
- Experience with multilingual or cross-cultural language processing, including Mandarin Chinese or other non-English languages.
- Knowledge of Chinese cultural norms and linguistic structures.
- Prior experience supporting DoD, IC, or federal research programs.
- Experience with machine translation, corpus linguistics, or linguistic annotation tools.
- Record of peer-reviewed publications or technical contributions in NLP, linguistics, or language technology. Knowledge, Skills, and Abilities
- Strong grounding in linguistic theory, computational methods, and applied data science.
- Ability to prototype and deploy NLP workflows efficiently using Python-based tools.
- Effective written and verbal communication skills for technical and sponsor audiences.
- Collaborative mindset and ability to integrate with multidisciplinary teams.
- Commitment to responsible AI and ethical research practices. Physical Demands
Work is performed in an office or hybrid research environment. Occasional travel may be required for sponsor meetings or technical exchanges.

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