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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 24, 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.

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.

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, 75% Full Time, 19% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $54,422 per year, or $26.2 per hour.

Indonesian Bilingual Expert - Remote

YO AI Labs

Houston, TX • Remote

$30 - $65/hr

Full-time

Posted 2 days ago

New

Job description

Indonesian Bilingual Expert

Job Type: Contractor
Location: Remote

Job Overview

We are seeking Indonesian Bilingual Experts to support a large-scale linguistic and AI training project focused on improving Indonesian language understanding and generation. In this role, you will evaluate AI-generated Indonesian speech, assess linguistic and cultural accuracy, and provide detailed feedback to help improve language model performance.

No prior AI experience is required. Strong Indonesian language expertise, English communication skills, and attention to detail are the key requirements for this role.

Key Responsibilities
  • Listen to and review audio clips to evaluate the nativeness, fluency, and overall quality of AI-generated Indonesian speech.
  • Assess pronunciation, intonation, accent, rhythm, and linguistic authenticity.
  • Evaluate language accuracy and identify unnatural or inappropriate expressions.
  • Validate the cultural and contextual appropriateness of language used in audio samples.
  • Provide clear and detailed written feedback in English and verbal feedback when required.
  • Document observations accurately and provide actionable insights for model improvement.
  • Follow established guidelines, rubrics, and evaluation standards consistently.
  • Collaborate with project coordinators to discuss findings and clarify evaluation requirements.
  • Complete assigned assessments accurately and within defined project timelines.
  • Contribute linguistically informed suggestions to improve evaluation frameworks and language quality standards.
Required Qualifications
  • Native-level proficiency in Indonesian, with excellent command of spoken and written Indonesian.
  • Strong understanding of Indonesian cultural nuances and regional language variations.
  • B2+ proficiency in English, with strong written and verbal communication skills.
  • Excellent attention to detail and a methodical approach to language evaluation.
  • Ability to identify subtle differences in pronunciation, fluency, grammar, tone, and language authenticity.
  • Ability to provide clear, constructive, and actionable feedback.
  • Strong ability to follow detailed guidelines and apply evaluation criteria consistently.
  • Comfortable working independently in a remote environment.
Preferred Qualifications
  • Experience in translation, localization, linguistics, content moderation, transcription, or language quality assessment.
  • Experience evaluating audio, speech, pronunciation, or AI-generated language.
  • Familiarity with Indonesian regional dialects and cultural variations.
  • Experience working with language data, linguistic annotation, or quality assurance.
  • Interest in AI-driven language technologies and speech systems.
Core Skills
  • Indonesian Native Proficiency
  • English – B2+
  • Audio Evaluation
  • Linguistic Assessment
  • Language Quality Assurance
  • Pronunciation & Intonation
  • Cultural & Contextual Awareness
  • Attention to Detail
  • Written Communication
  • Verbal Communication
  • Critical Listening
  • Quality Assurance