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Linguistic Annotation Jobs in Texas (NOW HIRING)

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Principal NLP Scientist

Austin, TX

Data preparation, annotation strategy, and labeling quality * Model evaluation, monitoring, and ... PhD in Computer Science, Machine Learning, Artificial Intelligence, Computational Linguistics ...

Arrive Logistics

Data Scientist II

Austin, TX · On-site

... annotation guidelines and ensuring label quality. • Evaluate and apply the appropriate approach ... linguistics, or related) and 2-4 years of applied ML or data science experience, or equivalent ...

Arrive Logistics

Data Scientist II

Austin, TX · On-site

... annotation guidelines and ensuring label quality. * Evaluate and apply the appropriate approach for ... Bachelor's or Master's degree in a quantitative field (computer science, statistics, linguistics ...

Arrive Logistics

Data Scientist II

Austin, TX · On-site +1

... annotation guidelines and ensuring label quality. * Evaluate and apply the appropriate approach for ... Bachelor's or Master's degree in a quantitative field (computer science, statistics, linguistics ...

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Showing results 21-40

All JobsLinguistic Annotation JobsLinguistic Annotation Jobs in Texas

Linguistic Annotation information

See Texas salary details

$41.9K

$54.4K

$90.8K

How much do linguistic annotation jobs pay per year?

As of Aug 10, 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 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.

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 hourly rates for specialized skills. While some positions offer part-time or freelance work, full-time roles with benefits tend to pay more. Overall, earnings are generally modest compared to other language-related professions but can increase with expertise and certifications.

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 August 2026, with employment types broken down into 2% As Needed, 71% Full Time, 22% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $54,422 per year, or $26.2 per hour.

Shape the Future of AI -- Spanish Talent Hub

Welo Data

Austin, TX • On-site, Remote

Part-time

Re-posted 22 days ago

Job description

Are you detail-oriented and curious about tech?

Welo Data is building a global network of linguists, language enthusiasts, and culturally aware contributors to shape safer, smarter AI.

By joining our talent community, you’ll be first in line for flexible, remote projects in annotation, evaluation, and prompt creation—always on your terms.

Note: This is not an active job opening. By applying, you’ll join our global contributor network. When a project aligns with your skills and availability, we’ll reach out with all the details, including scope, timeline, and compensation.

What You’ll Need

- Native or near-native fluency in Spanish

- English proficiency

- Comfortable with digital tools

- Detail-oriented and curious

 

Why Join Us?

🚀 Limitless You – Work when and where you want, with room to grow

🤖 Limitless AI – Contribute to smarter, more inclusive AI

🌎 Be Part of Us – Join a global, supportive community

 

About our projects:

Welo Data projects vary by scope and complexity, but all play a role in building more accurate, inclusive, and human-centered AI.

Depending on your skills, you might:

📝 Annotate or label text, images, or audio to train AI systems

🔍 Evaluate search results, ads, or chatbot responses for quality and relevance

💬 Create and test prompts to improve large language models (LLMs)

🌍 Ensure content reflects cultural, linguistic, or industry-specific accuracy

Some projects last a few days; others may extend over several weeks. Before each one, you’ll receive clear details on tasks, timelines, and compensation, so you can decide what works best for you.

How to Apply?

Click the “Apply” button on our website to fill out a short form and join our talent database. It only takes a few minutes to get started and become part of our growing community.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.