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Linguistic Annotation Jobs (NOW HIRING)

Python, R) for the purpose of data processing and analysis 3-5 years of industry experience Experience with linguistic annotation Excellent communication skills and ability to work cross-functionally ...

Machine Learning Data Linguist, Alexa AI

Seattle, WA · On-site

$130.30K - $156.50K/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 ...

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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 May 30, 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 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.

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 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:
Computational Linguist, Proactive

Computational Linguist, Proactive

Apple

Cupertino, CA

$172.10K - $305.60K/yr

Full-time

Medical, Dental, Retirement

Posted 4 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Join Apple's Entity and App Resolution team, where we build the intelligent systems that help
customers find and interact with exactly what they're looking for. Our work powers personalized search and resolution capabilities that improve user experiences.
We're seeking a Computational Linguist to support our entity resolution systems through data-driven
work. In this role, you'll help construct, generate, annotate, maintain, and analyze the data that power
our products. You'll help build processes and pipelines to streamline data workflows. You will also be responsible for documenting and communicating processes, guidelines, and findings. You'll work across engineering, quality, localization, and UX teams, applying your linguistic expertise to ensure our systems work well across different contexts and locales. Your systematic and organized approaches will help to increase efficiency within and across teams.
Description
Data Generation & Management: Design, generate, and maintain high-quality datasets for entity resolution testing and evaluation; automate data generation pipelines where possible
Annotation Projects: Plan, manage, and execute annotation projects; create annotation guidelines, coordinate with annotators, ensure quality and consistency
Data Analysis: Clean, process, and analyze language data using linguistic expertise to identify patterns, edge cases, and system failures; surface insights that drive product improvements
Cross-Functional Collaboration: Work closely with Quality Engineering, UX researchers, engineers, and localization teams to ensure entity resolution meets quality standards and user needs
Localization Awareness: Work with internationalization to identify and address language-specific and cultural issues in entity resolution across different locales
Testing & Evaluation: Design systematic test cases and evaluation frameworks; analyze test results to identify linguistic patterns in failures
Documentation: Create clear, comprehensive documentation of scope, datasets, processes, findings, and recommendations for diverse audiences
Preferred Qualifications
Familiarity with version control (Git or similar)
Familiarity with conversational systems, NLP, or search systems
Experience managing or participating in annotation projects
Experience with localization or multilingual issues in language technology
Project management experience (academic or professional)
Experience working with engineers or technical teams
Minimum Qualifications
Master's degree in Linguistics, Computational Linguistics, or related field
Strong data skills: cleaning, processing, analyzing, and finding patterns in language data
Strong analytical skills: Experience with quantitative and qualitative data analyses
Coding skills (e.g. Python, R) for the purpose of data processing and analysis
3-5 years of industry experience
Experience with linguistic annotation
Excellent communication skills and ability to work cross-functionally
Strong organizational skills and documentation practices
* Systematic thinking and attention to detail
* Basic understanding of machine learning concepts
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $172,100 and $305,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976