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

HumanSignal

High Volume (TOFU) Recruiter

Austin, TX · On-site +1

$55K - $100K/yr

... standard for data labeling and evaluation, used by over 1 million practitioners worldwide. We ... San Francisco, CA preferred; open to other remote options About the Role HumanSignal Services runs ...

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All JobsData Labeler JobsData Labeler Remote JobsData Labeler Remote Jobs in Austin, TX

Data Labeler Remote information

See Austin, TX salary details

$14

$38

$56

How much do data labeler remote jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for data labeler remote in Austin, TX is $38.34, according to ZipRecruiter salary data. Most workers in this role earn between $33.61 and $43.37 per hour, depending on experience, location, and employer.

Is data labelling a good career?

Data labeling is an entry-level role that involves annotating data for machine learning models, often requiring attention to detail and basic technical skills. It can provide a stepping stone into the tech industry, but it typically offers limited advancement opportunities and lower pay compared to more specialized roles. Many professionals use it as initial experience before moving into data science or related fields.

What are the key skills and qualifications needed to thrive as a Data Labeler Remote, and why are they important?

To thrive as a Data Labeler Remote, you need strong attention to detail, basic data analysis skills, and familiarity with data annotation processes, often supported by a high school diploma or equivalent. Proficiency with labeling platforms, annotation tools, and sometimes knowledge of spreadsheet software are typically required. Reliability, time management, and effective communication are crucial soft skills for maintaining accuracy and meeting project deadlines in a remote setting. These skills ensure high-quality, consistent labeled data, which is essential for training reliable machine learning models.

How can I make 2000 a week working from home?

A remote data labeler can potentially earn around $2000 per week by working full-time hours, often 40 hours or more, and gaining experience or specializing in high-demand data annotation tasks. Increasing earnings may involve working for multiple clients, improving skills with annotation tools, or taking on higher-paying projects, but consistent high weekly income depends on workload, rates, and efficiency.

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

Remote data labelers often encounter challenges such as maintaining focus during repetitive tasks, ensuring consistent annotation quality, and communicating effectively with distributed teams. To manage these, it's helpful to establish a structured work routine, take regular breaks to prevent fatigue, and use annotation guidelines provided by employers. Leveraging collaboration tools for feedback and clarification also helps maintain high-quality output and fosters a sense of connection with team members.

What does a remote data labeler do?

A remote data labeler is responsible for annotating or tagging data—such as images, videos, audio, or text—from a remote location, typically working from home. Their work helps train machine learning models by providing accurate, labeled datasets that algorithms use to learn and make predictions. Data labelers follow specific guidelines to ensure consistency and accuracy, and may use specialized software tools to complete their tasks. This role is essential in industries like artificial intelligence, self-driving cars, and natural language processing. Remote data labelers often work as freelancers or as part of distributed teams for tech companies.

What is the difference between Data Labeler Remote vs Data Annotator Remote?

AspectData Labeler RemoteData Annotator Remote
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML data preparationCommon in AI/ML data preparation
Job FocusLabeling data points for machine learningAnnotating data for training AI models

Both Data Labeler Remote and Data Annotator Remote roles involve preparing data for AI and machine learning projects. While the terms are often used interchangeably, Data Labeler Remote typically emphasizes labeling data points, whereas Data Annotator Remote may include more detailed annotation tasks. Both roles require similar skills and are performed remotely, making them accessible for individuals seeking flexible data-related jobs.

How much are data labelers paid?

Data labelers working remotely typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the company. Some positions may offer project-based pay or bonuses for accuracy and efficiency.

Is data labeling work from home?

Data labelers often work remotely, as the job typically involves reviewing and annotating data using a computer and internet connection. Many companies offer remote data labeling positions with flexible schedules, requiring basic computer skills and attention to detail.
What are the most commonly searched types of Data Labeler jobs in Austin, TX? The most popular types of Data Labeler jobs in Austin, TX are:
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What job categories do people searching Data Labeler Remote jobs in Austin, TX look for? The top searched job categories for Data Labeler Remote jobs in Austin, TX are:
What cities near Austin, TX are hiring for Data Labeler Remote jobs? Cities near Austin, TX with the most Data Labeler Remote job openings:
Data Labeler Remote jobs near you
Infographic showing various Data Labeler Remote job openings in Austin, TX as of July 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 100% Remote job distribution, with an average salary of $79,753 per year, or $38.3 per hour.
Search and Data Labelling Rater - Italian

Search and Data Labelling Rater - Italian

Welo Data

Austin, TX • Remote

$8/hr

Part-time

Posted 8 days ago

Job description

Job Overview 

We are looking for detail-oriented Search & Data Labeling Raters to support an AI data annotation project focused on improving e-commerce search experiences. In this role, you will evaluate the relevance of search results by analyzing customer queries and matching them with appropriate products. Your work will directly contribute to enhancing search quality and overall user experience.

Key Responsibilities:
  • Analyze and understand the intent behind customer search queries
  • Identify product types (PT) and relevant attributes (e.g., brand, size, color) within queries
  • Evaluate the relevance between search queries and product listings using defined guidelines (ESCI framework)
  • Determine product availability and validate product links
  • Provide accurate, consistent, and high-quality annotations
  • Follow project guidelines and meet productivity and quality benchmarks

Project Details:

  • Start Date: ASAP
  • Duration: 4 weeks
  • Task Type: AI Data Annotation 
  • Job Type: Freelance contract
  • Pay Rate: $8 USD/hour
  • Location: Remote

Requirements:

  • Strong analytical and comprehension skills
  • Ability to understand e-commerce search behavior
  • High attention to detail and accuracy
  • Basic understanding of online shopping platforms
  • Proficiency in the required language
  • Ability to follow detailed guidelines and work independently

Join our team and help shape the future of AI communication!

$8 - $8 an hour

Why Join Welo Data?  

✨ Limitless Flexibility  

Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.   

🌱 Limitless Growth  

Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.   

🌍 Limitless Support  

Be part of a global contributor community with responsive guidance and support.   

💡 Real Impact  

Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.  

How to Apply? 

Apply now by answering a few quick questions to join our database and become part of our growing community. 

About Welo Data 

Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.  

At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms. 

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.