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Linguistic Annotation Jobs (NOW HIRING)

Machine Learning Data Linguist, Alexa AI

Seattle, WA · On-site

$130K - $156K/yr

BASIC QUALIFICATIONS - Bachelor's degree or equivalent - Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup, as well as leading a team ...

At least two years of professional transcription, captioning, court reporting, broadcast, translation, or linguistic annotation experience * Demonstrated accuracy at the word level under deadline ...

$20/hr

Data Annotation Generalist Contract Type: Hourly, Independent Contractor Location: Remote ... Background in linguistics, computer science, or data science * Experience contributing to AI ...

$18 - $23.50/hr

At least two years of professional transcription, captioning, court reporting, broadcast, translation, or linguistic annotation experience * Demonstrated accuracy at the word level under deadline ...

Linguist

California, MD · On-site

$35 - $40/hr

... annotation, and evaluation for LLM training, alignment, and AI agent development. Responsibilities: Apply linguistic expertise in syntax, semantics, pragmatics, and sociolinguistics to support LLM ...

New

Linguist III Location: Remote Top 3 must-have HARD skills: 1 Native fluency in French/Italian 2 Experience with language annotation or other forms of data markup and tagging 3 Experience with ...

We are seeking candidates with strong linguistic data analysis and language technology experience to manage data collection, LLM-powered data synthesis and data annotation tasks, prompt engineering ...

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Linguistic Annotation information

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$45K

$58.4K

$97.5K

How much do linguistic annotation jobs pay per year?

As of Jul 12, 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 a Linguistic Annotation job?

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.

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 July 2026, with employment types broken down into 1% As Needed, 34% Full Time, 31% Part Time, and 34% Contract. Highlights an 34% Physical, and 66% Remote job distribution, with an average salary of $58,415 per year, or $28.1 per hour.
Machine Learning Data Linguist, Alexa AI

Machine Learning Data Linguist, Alexa AI

Amazon

Seattle, WA • On-site

$130K - $156K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,959 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Amazon is seeking a Machine Learning Data Linguist to join our Alexa AI team. This role focuses on language data, primarily in the areas of text annotation and general data analysis deliverables.
The ML Data Linguist must have a passion for data, efficiency, accuracy, and should be capable of:
- Handling unique data analysis requests from a range of data customers
- Providing data quality expertise to other team members and coaching improvements
- Delivering high quality work in a fast-paced environment
- Working autonomously with minimum direction
- Building a thorough understanding of conventions and providing support to global sites
- Understanding changes to conventions deployed in response to customers' requests and modifying workflows accordingly
- Contributing to process improvements to reduce handling time and improve output
- Improving software tools by identifying bugs and suggesting enhancements
- Diving deep into issues and implementing solutions independently
- Proactively addressing issues and problems
- Keeping up with changing project conventions and priorities
Key job responsibilities
- Label, generate, and ensure the quality of datasets.
- Work closely with ML Data Linguists and scientists to understand data ambiguities and resolve issues in annotation guidelines.
- Conduct in-depth qualitative error trend analysis, developing action plans to enhance data quality.
- Collaborate with ML Data Linguists, scientists, and Ops Managers to drive innovation in processes, tracking, and annotation workflows.
A day in the life
Most days are spent collecting requirements from customers, collaborating with peers and stakeholders to complete deliverables, and recommending process improvements.
About the team
The work that we do is confidential, but we are a highly collaborative team who obsess over our internal and external customers.
BASIC QUALIFICATIONS
- Bachelor's degree or equivalent
- Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup, as well as leading a team of peers
- Experience using Microsoft Excel for data analysis, formulae, and data visualization
- 2+ years of computational linguistics, language data processing, semantics, or syntax experience
PREFERRED QUALIFICATIONS
- Bachelor's degree in English, Communications, Linguistics, or a related field
- Experience solving basic problems by writing code or scripts with some assistance
- Experience working with large sets of data and deriving practical insights
- Experience that includes strong analytical skills, attention to detail, and effective communication abilities
- Interest in pragmatics and conversational design
- Ability to navigate a Unix terminal and use common command line tools
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, MA, Boston - 21.00 - 37.00 USD hourly
USA, WA, Seattle - 21.00 - 37.00 USD hourly

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US