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Remote Data Labeling Jobs in Texas (NOW HIRING)

Experience with AI/ML data annotation or image labeling. (nice-to-have) * Familiarity with GIS tools (e.g., QGIS, ArcGIS) or remote sensing software. (nice-to-have) * Knowledge of SAR and ...

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Remote Data Labeling information

See Texas salary details

$9

$30

$67

How much do remote data labeling jobs pay per hour?

As of May 29, 2026, the average hourly pay for remote data labeling in Texas is $30.21, according to ZipRecruiter salary data. Most workers in this role earn between $15.01 and $40.80 per hour, depending on experience, location, and employer.

What is a Remote Data Labeling job?

A Remote Data Labeling job involves annotating or categorizing data, such as images, text, audio, or video, to train machine learning models. Workers review and tag content based on specific guidelines provided by companies. This job is typically done online from home and requires attention to detail, consistency, and sometimes specialized domain knowledge. It plays a crucial role in improving artificial intelligence systems by providing high-quality labeled data.

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

To thrive as a Remote Data Labeling specialist, you need strong attention to detail, basic data analysis skills, and the ability to accurately tag and categorize diverse data types, often with a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools (such as Labelbox or Amazon SageMaker Ground Truth), and, occasionally, basic knowledge of data privacy standards is helpful. Time management, self-discipline, and effective remote communication are valuable soft skills in this position. These skills ensure that labeled data is accurate and reliable, supporting the success of machine learning and AI projects.

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

Remote data labelers often face challenges such as maintaining focus during repetitive tasks, managing volume-based workloads, and interpreting ambiguous data with consistency. To manage these, it's important to set up a distraction-free workspace, take regular breaks to avoid fatigue, and seek clarification from supervisors or project guidelines when uncertainties arise. Most companies provide onboarding and ongoing support to help new labelers understand annotation standards and best practices. Collaborating with remote team members via chat or project management platforms also helps maintain quality and stay connected. By being proactive and utilizing available resources, remote data labelers can maintain high accuracy and productivity.
What are the most commonly searched types of Data Labeling jobs in Texas? The most popular types of Data Labeling jobs in Texas are:
What are popular job titles related to Remote Data Labeling jobs in Texas? For Remote Data Labeling jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Data Labeling jobs in Texas look for? The top searched job categories for Remote Data Labeling jobs in Texas are:
What cities in Texas are hiring for Remote Data Labeling jobs? Cities in Texas with the most Remote Data Labeling job openings:
Infographic showing various Remote Data Labeling job openings in Texas as of May 2026, with employment types broken down into 50% Full Time, 36% Part Time, 7% Temporary, and 7% Contract. Highlights an 100% Remote job distribution, with an average salary of $62,827 per year, or $30.2 per hour.
Shape the Future of AI -- Finnish Talent Hub

Shape the Future of AI -- Finnish Talent Hub

Welo Data

Austin, TX • On-site, Remote

Part-time

Posted 9 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 Finnish

- 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.