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Remote Text Annotation Jobs in Austin, TX (NOW HIRING)

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Remote Text Annotation information

See Austin, TX salary details

$15

$27

$37

How much do remote text annotation jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for remote text annotation in Austin, TX is $27.43, according to ZipRecruiter salary data. Most workers in this role earn between $21.44 and $32.88 per hour, depending on experience, location, and employer.

What is remote text annotation?

Remote text annotation is the process of labeling or tagging text data from a remote location, typically as part of preparing data for machine learning and artificial intelligence applications. This work involves identifying and marking elements such as entities, keywords, sentiment, or other features within text documents. Remote text annotators work from home or another off-site location using specialized software tools. Their annotations help improve AI models by providing accurately labeled datasets. This role is essential in industries like natural language processing, search engines, and chatbots.

What is the difference between Remote Text Annotation vs Remote Data Labeling?

AspectRemote Text AnnotationRemote Data Labeling
Primary FocusAnnotating text data for NLP modelsLabeling various data types, including images, audio, and text
Skills RequiredLanguage understanding, attention to detail, basic tech skillsData understanding, technical skills, multi-modal data handling
Work EnvironmentRemote, flexible hours, online platformsRemote, flexible hours, online platforms
Industry UsageNatural Language Processing, AI developmentMachine learning, AI, data science

Remote Text Annotation and Remote Data Labeling share similarities in remote work environment and industry usage. However, Remote Text Annotation specifically involves annotating textual data for NLP models, while Remote Data Labeling encompasses labeling various data types, including images and audio. Both roles require attention to detail and technical skills, but Remote Data Labeling often demands broader data handling expertise.

What are the key skills and qualifications needed to thrive as a remote text annotation specialist?

To thrive as a Remote Text Annotation Specialist, you need strong attention to detail, excellent reading comprehension, and a solid understanding of language concepts, often supported by a background in linguistics or related fields. Familiarity with annotation platforms, data labeling tools, and sometimes knowledge of scripting languages like Python are typical technical requirements. Strong time management, adaptability, and effective communication are standout soft skills for remote collaboration and meeting project deadlines. These abilities are crucial for ensuring high-quality, accurate data annotations that power machine learning and AI applications.

What are some common challenges encountered in a remote text annotation role, and how can they be effectively managed?

Remote text annotation professionals often face challenges such as ambiguous data, maintaining consistency in labeling, and managing communication with geographically dispersed teams. To address these, it's important to refer to detailed annotation guidelines, attend regular virtual check-ins, and use collaborative tools for feedback and clarification. Staying organized and proactive in raising questions about unclear cases helps ensure high-quality annotations and smooth workflow.
What job categories do people searching Remote Text Annotation jobs in Austin, TX look for? The top searched job categories for Remote Text Annotation jobs in Austin, TX are:
What cities near Austin, TX are hiring for Remote Text Annotation jobs? Cities near Austin, TX with the most Remote Text Annotation job openings:
Infographic showing various Remote Text Annotation job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 66% Full Time, 26% Part Time, and 7% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $57,056 per year, or $27.4 per hour.

AI Trainer - Freelance Data Annotator

Mindrift - Data annotation

Austin, TX • Remote

$23/hr

Part-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Please submit your resume in English and indicate your level of English.

At Toloka, we connect smart, curious people from around the world with freelance online tasks that train and improve artificial intelligence.

What we do

The Toloka Annotators connects individuals with Generative AI projects from leading tech innovators. Our mission is to unlock the full potential of AI by involving real people from around the world in the development process.

About the Role

Annotation is what helps AI make sense of the world. As an annotator, you may be invited to take part in online projects such as rating AI-generated content, evaluating factual accuracy, or comparing responses - when projects are available.

Responsibilities:

  • Carefully review provided data (text, images, or videos)
  • Label or classify content based on project guidelines
  • Identify and flag factually incorrect, sensitive, inappropriate, or unclear material

Important note: This is project-based work. Tasks are available only when projects are active. You may be invited to one or more projects depending on your profile and current opportunities.

Each project has its own compensation level based on scope and expertise required. On this project, AI trainers earn up to $23 per hour equivalent.

Requirements

  • Bachelor's degree in any discipline
  • Minimum 1 year of experience in any professional role
  • Advanced level of English (C1 or higher), both written and spoken
  • Logical thinking, fact-checking and reasoning abilities
  • Strong attention to detail and ability to understand and follow complex instructions
  • Strong communication skills, including the ability to ask clarifying questions when needed
  • Genuine interest in technology and artificial intelligence

Benefits

Why this freelance opportunity might be a great fit for you?

  • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.
  • Work on advanced AI projects and gain valuable experience that enhances your portfolio.
  • Influence how future AI models understand and communicate in your field of expertise.