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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 Sep 11, 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 linguistic annotation?

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.

Do linguistic annotators make good money?

Linguistic annotators typically earn hourly wages that vary depending on experience, location, and employer, with rates often ranging from minimum wage to higher levels for specialized skills. Entry-level positions may pay around minimum wage, while experienced annotators or those with additional skills can earn higher pay, especially in companies that offer remote work or flexible schedules.
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Linguistic Annotation jobs near you
Infographic showing various Linguistic Annotation job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 96% Full Time, and 3% Part Time. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $58,415 per year, or $28.1 per hour.

ME00647-Data Scientist 3

Fort George G Meade, MD • On-site

Momentum Engineering
See more jobs at Momentum Engineeringexternal

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Medical, Dental, Vision, Life, PTO

Re-posted 4 days ago

Job description

ME00647-Data Scientist 3Momentum Engineering Fort Meade, Maryland, United States About this position

Momentum Engineering, Inc. fosters an employee-centric culture. Our strength lies in our people. With a high percentage of employees holding advanced degrees in engineering, computer science, and related disciplines, we bring deep technical expertise to every mission. Our team includes professionals with security clearances and full-scope polygraphs, ensuring trusted, secure support for the most sensitive national security initiatives. Additionally, our workforce is equipped with industry-leading certifications, demonstrating a commitment to continuous learning and excellence. Most importantly, our exceptional employee retention rate reflects a culture of professional growth, mission focus, and dedication—ensuring long-term stability and expertise for our customers’ critical needs.

Job Summary

  • Seeking a Data Scientist to support a Natural Language Processing project focused on automatically processing spoken and written language data
  • The successful candidate will develop automated tokenization and linguistic annotation capabilities and evaluate model performance against human-generated annotations

Primary Responsibilities

  • Develop NLP solutions for spoken and written language data
  • Develop automated approaches for accurate language tokenization
  • Create automated solutions for annotating language data with parts-of-speech information
  • Analyze speech and text datasets
  • Improve existing NLP models and processing techniques
  • Evaluate model performance against human-generated annotations
  • Develop quantitative methods for measuring model accuracy and effectiveness
  • Document model performance, analytical methods, and recommended improvements

Required Qualifications

  • Must have active Top Secret/SCI clearance with NSA Full Scope Polygraph
  • Master’s degree with 6 years of relevant experience, Bachelor’s degree with 8 years of relevant experience, Associate's degree with 10 years of in-depth relevant experience that is clearly related to the position
  • Experience with Natural Language Processing
  • Experience processing text and/or speech data
  • Understanding of tokenization and linguistic annotation concepts
  • Strong analytical and software-development skills

Desired Qualifications

  • Experience with parts-of-speech tagging
  • Computational linguistics background
  • Experience evaluating automated NLP output against human-generated annotations
  • Experience working with both speech and text datasets

Exempt hourly position. 11 paid holidays, minimum of 3 weeks PTO, company sponsored group medical plan, company paid dental, vision, life insurance, and STD/LTD plans. Salary is dependent upon the candidate’s experience and qualifications.

Momentum Engineering, Inc. fosters an employee-centric culture. Our strength lies in our people. With a high percentage of employees holding advanced degrees in engineering, computer science, and related disciplines, we bring deep technical expertise to every mission. Our team includes professionals with security clearances and full-scope polygraphs, ensuring trusted, secure support for the most sensitive national security initiatives. Additionally, our workforce is equipped with industry-leading certifications, demonstrating a commitment to continuous learning and excellence. Most importantly, our exceptional employee retention rate reflects a culture of professional growth, mission focus, and dedication—ensuring long-term stability and expertise for our customers’ critical needs.

Job Summary

  • Seeking a Data Scientist to support a Natural Language Processing project focused on automatically processing spoken and written language data
  • The successful candidate will develop automated tokenization and linguistic annotation capabilities and evaluate model performance against human-generated annotations

Primary Responsibilities

  • Develop NLP solutions for spoken and written language data
  • Develop automated approaches for accurate language tokenization
  • Create automated solutions for annotating language data with parts-of-speech information
  • Analyze speech and text datasets
  • Improve existing NLP models and processing techniques
  • Evaluate model performance against human-generated annotations
  • Develop quantitative methods for measuring model accuracy and effectiveness
  • Document model performance, analytical methods, and recommended improvements

Required Qualifications

  • Must have active Top Secret/SCI clearance with NSA Full Scope Polygraph
  • Master’s degree with 6 years of relevant experience, Bachelor’s degree with 8 years of relevant experience, Associate's degree with 10 years of in-depth relevant experience that is clearly related to the position
  • Experience with Natural Language Processing
  • Experience processing text and/or speech data
  • Experience developing automated language-processing solutions
  • Understanding of tokenization and linguistic annotation concepts
  • Experience evaluating model performance
  • Strong analytical and software-development skills

Desired Qualifications

  • Experience with parts-of-speech tagging
  • Computational linguistics background
  • Experience evaluating automated NLP output against human-generated annotations
  • Experience working with both speech and text datasets

Exempt hourly position. 11 paid holidays, minimum of 3 weeks PTO, company sponsored group medical plan, company paid dental, vision, life insurance, and STD/LTD plans. Salary is dependent upon the candidate’s experience and qualifications.

The pay range for this role is:

135,000 - 180,000 USD per year(Ft. Meade MD)

Salary Information

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