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Remote Data Labelling Jobs in Austin, TX (NOW HIRING)

ASSA ABLOY

Sales Manager, ISC North America

Austin, TX · Remote

Remote (USA) Job ID: 46184 Become part of our powerful sales team in NAM. As the RFID Transponder ... An understanding of RFID technologies with a focus on the RFID tags and labels would be helpful but ...

ASSA ABLOY

Sales Manager, ISC Oil & Gas

Austin, TX · On-site +1

... wireless data exchange, identification, collection, and management across a broad range of IoT ... labels for the industry & logistics, healthcare, animal identification, and fueling automation ...

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All JobsRemote Data Labelling JobsRemote Data Labelling Jobs in Austin, TX

Remote Data Labelling information

See Austin, TX salary details

$45.6K

$163.6K

$241.4K

How much do remote data labelling jobs pay per year?

As of Jun 12, 2026, the average yearly pay for remote data labelling in Austin, TX is $163,567.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,300.00 and $168,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Data Labelling position, and why are they important?

To thrive as a Remote Data Labelling professional, strong attention to detail, accuracy, and basic computer literacy are essential, often requiring a high school diploma or equivalent. Familiarity with data annotation platforms, labeling tools, and sometimes experience with spreadsheet or project management software are common requirements. Excellent time management, self-motivation, and the ability to follow detailed instructions help individuals excel in this largely independent role. These qualifications are vital to ensure precise, high-quality data sets that drive effective machine learning and AI model development.

What are some common challenges faced by remote data labelling professionals, and how can they be managed?

Remote data labelling professionals often encounter challenges such as repetitive tasks, maintaining focus over extended periods, and interpreting ambiguous data accurately. To manage these challenges, it helps to take regular breaks, use productivity techniques, and seek clarification from supervisors or team leads when instructions are unclear. Many companies provide detailed guidelines and offer online support channels to help remote labelers stay engaged and ensure consistency. Being proactive in communication and attentive to updates in instructions will contribute to both job satisfaction and data quality.

What is a Remote Data Labelling job?

A Remote Data Labelling job involves annotating, categorizing, or tagging data (such as images, text, or audio) to help train machine learning models. Workers typically use specialized tools to label data based on specific guidelines provided by companies. This role is performed entirely online, making it flexible and accessible from anywhere. It is commonly used in AI development for industries like autonomous vehicles, healthcare, and e-commerce.

What are the most commonly searched types of Data Labelling jobs in Austin, TX? The most popular types of Data Labelling jobs in Austin, TX are:
What are popular job titles related to Remote Data Labelling jobs in Austin, TX? For Remote Data Labelling jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Remote Data Labelling jobs in Austin, TX look for? The top searched job categories for Remote Data Labelling jobs in Austin, TX are:
What cities near Austin, TX are hiring for Remote Data Labelling jobs? Cities near Austin, TX with the most Remote Data Labelling job openings:
Remote Data Labelling jobs near you
Infographic showing various Remote Data Labelling job openings in Austin, TX as of June 2026, with employment types broken down into 1% Internship, 2% As Needed, 86% Full Time, 4% Part Time, 6% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $163,567 per year, or $78.6 per hour.

Freelance Annotator (English) - AI Trainer

Toloka Annotators

Austin, TX • Remote

$23/hr

Part-time

Posted yesterday

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.

Apply