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Manager Linguistic Annotation Jobs (NOW HIRING)

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 ...

Linguist II (LLM/AI)

Sunnyvale, CA · On-site

$36 - $40.20/hr

... linguistic error analysis. Participate in experiments to assess data quality, annotation ... management, safe and respectful collaboration, trustworthiness, meeting client expectations and ...

Linguist III

PR · Remote

Perform linguistic analyses on large datasets. Perform linguistic error analysis of AI model ... Write and revise guidelines for human annotation and other AI projects, including but not limited ...

Perform linguistic analyses on large datasets. * Perform linguistic error analysis of AI model ... Write and revise guidelines for human annotation and other AI projects, including but not limited ...

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Manager Linguistic Annotation information

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$22.5K

$64.2K

$114K

How much do manager linguistic annotation jobs pay per year?

As of Aug 3, 2026, the average yearly pay for manager linguistic annotation in the United States is $64,154.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $84,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Manager Linguistic Annotation, and why are they important?

To thrive as a Manager Linguistic Annotation, you need expertise in linguistics or computational linguistics, experience with annotation projects, and often an advanced degree in a related field. Familiarity with annotation tools, data management systems, and project management software is typically required. Strong leadership, communication, and organizational skills help manage teams, meet deadlines, and ensure high-quality output. These abilities are crucial for overseeing complex annotation workflows and delivering accurate linguistic data for AI and NLP applications.

What are Manager Linguistic Annotation jobs?

Manager Linguistic Annotation jobs involve overseeing teams that label and annotate linguistic data, such as text, audio, or speech, to train and improve artificial intelligence and natural language processing systems. These managers are responsible for project planning, quality assurance, and ensuring that annotation guidelines are followed. They often collaborate with linguists, data scientists, and engineers to deliver high-quality annotated datasets on time. Strong communication skills, attention to detail, and experience in linguistics or language technology are typically required for this role.

How does a Manager of Linguistic Annotation typically collaborate with cross-functional teams to ensure project success?

A Manager of Linguistic Annotation frequently works alongside data scientists, computational linguists, software engineers, and product managers to align annotation guidelines with project goals. This role involves coordinating annotation tasks, clarifying linguistic requirements, and ensuring data quality through regular feedback sessions. Effective communication and the ability to translate linguistic concepts for non-specialist teammates are crucial. By fostering collaboration, the manager ensures that annotated datasets are accurate, consistent, and useful for downstream applications such as machine learning models.
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What cities are hiring for Manager Linguistic Annotation jobs? Cities with the most Manager 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 Manager Linguistic Annotation jobs? States with the most job openings for Manager Linguistic Annotation jobs include:
What job categories do people searching Manager Linguistic Annotation jobs look for? The top searched job categories for Manager Linguistic Annotation jobs are:
Infographic showing various Manager Linguistic Annotation job openings in the United States as of July 2026, with employment types broken down into 4% Full Time, 5% Part Time, 86% Contract, and 5% Nights. Highlights an 4% Physical, and 96% Remote job distribution, with an average salary of $64,154 per year, or $30.8 per hour.

Language Engineer, Artificial General Intelligence - Data Services

Amazon

Boston, MA

$124K - $149K/yr

Full-time

Re-posted 9 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,051 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

The Amazon Artificial General Intelligence (AGI) Data Services organization is looking for a Language Engineer with experience in dataset construction, linguistic annotation, dialog/semantic schemas, and automatic processing of large datasets. You will play a critical role in driving innovation and advancing the state-of-the-art in natural language processing and machine learning. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are aligned with human policies and preferences.


Key job responsibilities
Specifically, the Language Engineer will:
Design data collection/creation tasks in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables
Analyze and extract language-related insights from large amounts of data
Build tools or tool prototypes for data analysis or data authoring, using Python or another scripting language
Use modeling tools to bootstrap or test new functionalities
Collaborate with scientists and software engineers to evaluate performance of language models
Handle competing requests from a range of data customers


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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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