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Linguistic Annotation information

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$41.9K

$54.4K

$90.8K

How much do linguistic annotation jobs pay per year?

As of Jul 28, 2026, the average yearly pay for linguistic annotation in Texas is $54,422.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,100.00 and $54,000.00 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.

What are the most commonly searched types of Linguistic Annotation jobs in Texas? The most popular types of Linguistic Annotation jobs in Texas are:
What are popular job titles related to Linguistic Annotation jobs in Texas? For Linguistic Annotation jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Linguistic Annotation jobs in Texas look for? The top searched job categories for Linguistic Annotation jobs in Texas are:
Linguistic Annotation jobs near you
Infographic showing various Linguistic Annotation job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 52% Full Time, 45% Part Time, and 2% Contract. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution, with an average salary of $54,422 per year, or $26.2 per hour.

English Computational Linguist

CloudFactory

Texas City, TX • On-site, Remote

Contractor

Posted 25 days ago

Job description

Who we are
At CloudFactory, we are a mission-driven team passionate about unlocking the disruptive potential of AI for the world. By combining advanced technology with a global network of talented experts, we make unusable data usable and inference reliable and trustworthy, driving real-world business value at scale.
More than just a workplace, we're a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do, as we strive to connect one million people to meaningful work and build leaders worth following.
Our culture
At CloudFactory, we believe in building a workplace where everyone feels empowered, valued, and inspired to bring their authentic selves to work. We are:
  • Mission-driven: we focus on creating economic and social impact.
  • People-centric: we care deeply about our team's growth, well-being, and sense of belonging.
  • Innovative: we embrace change and find better ways to do things, together.
  • Globally connected: we foster collaboration between diverse cultures and perspectives.

If you're ready to earn, learn, serve, and be part of a vibrant global community, CloudFactory is your place.
What you'll do
  • Disambiguate word- and phrase-level meaning to build high-quality training data for AI language models
  • Apply morphosyntactic and semantic analysis to tag and validate grammar concepts with precision
  • Distinguish read-aloud from spontaneous speech to support speech data annotation
  • Write grammar explanations that are linguistically rigorous and genuinely useful to learners
  • Design vocabulary tasks grounded in real usage patterns, not textbook cliches
  • Shape lesson outlines that reflect how English is actually used, informed by corpus and annotation data

Requirements
  • Bachelor's degree or higher in linguistics, computational linguistics, or NLP (Master's or PhD a plus)
  • Demonstrated expertise in semantics and morphosyntax, ideally applied to corpus linguistics or NLP annotation work
  • Experience with language data annotation, corpus tagging, or AI/ML training data projects strongly preferred
  • Native or near-native English proficiency (CEFR C2)
Engagement details
  • Type: Contract
  • Time commitment: 10-20 hours per week
  • Project duration: 4 weeks, potential extension

Apply