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Remote Data Labelling Jobs in Texas (NOW HIRING)

SynMax

Satellite Imagery QA Analyst

Houston, TX · Remote

$20 - $40/hr

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 Labelling information

See Texas salary details

$42.9K

$153.7K

$226.9K

How much do remote data labelling jobs pay per year?

As of May 30, 2026, the average yearly pay for remote data labelling in Texas is $153,740.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $158,400.00 per year, depending on experience, location, and employer.

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 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.
More about Remote Data Labelling jobs
What are the most commonly searched types of Data Labelling jobs in Texas? The most popular types of Data Labelling jobs in Texas are:
What are popular job titles related to Remote Data Labelling jobs in Texas? For Remote Data Labelling jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Data Labelling jobs in Texas look for? The top searched job categories for Remote Data Labelling jobs in Texas are:
What cities in Texas are hiring for Remote Data Labelling jobs? Cities in Texas with the most Remote Data Labelling job openings:
Remote Data Labelling jobs near you
Infographic showing various Remote Data Labelling job openings in Texas as of May 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% Remote job distribution, with an average salary of $153,740 per year, or $73.9 per hour.
Shape the Future of AI -- Indonesian Talent Hub

Shape the Future of AI -- Indonesian Talent Hub

Welo Data

Austin, TX • On-site, Remote

Part-time

Posted 10 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 Indonesian

- 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.