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

Remote work is an option. This position will report to the Toxicology Team Manager. Job Scope * The ... Includes application of read-across approaches for environmental fate and ecotoxicity endpoint data ...

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Remote Data Labelling information

See Houston, TX salary details

$43.9K

$157.6K

$232.5K

How much do remote data labelling jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote data labelling in Houston, TX is $157,588.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,500.00 and $162,300.00 per year, depending on experience, location, and employer.

What is a remote data labelling?

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 remote data labelling?

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.

How can I get started in remote data labeling?

To start as a remote data labeler, gain basic knowledge of data annotation tools and understand labeling guidelines for different data types such as images, audio, or text. Many companies require a reliable internet connection, attention to detail, and sometimes a test task to demonstrate accuracy. You can find entry-level positions on online job platforms and consider completing relevant online courses to improve your skills.

How much are remote data labelers paid?

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

What are the most commonly searched types of Data Labelling jobs in Houston, TX?

The most popular types of Data Labelling jobs in Houston, TX are:

What are popular job titles related to Remote Data Labelling jobs in Houston, TX?

For Remote Data Labelling jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Remote Data Labelling jobs in Houston, TX look for?

The top searched job categories for Remote Data Labelling jobs in Houston, TX are:

What cities near Houston, TX are hiring for Remote Data Labelling jobs?

Cities near Houston, TX with the most Remote Data Labelling job openings:

Infographic showing various Remote Data Labelling job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $157,588 per year, or $75.8 per hour.

AI Trainer - Freelance Data Annotator

Mindrift - Data annotation

Houston, TX • Remote

$20/hr

Part-time

Re-posted 20 days ago


Job description

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

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

What this opportunity involves

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.

While each project involves unique tasks, contributors may:

  • 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.

What we look for

This opportunity is a good fit for candidates open to part-time, non-permanent projects. Ideally, contributors will have:

  • Bachelor's degree in any discipline;
  • Minimum 1 year of experience in any professional role;
  • 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;
  • Strong written and spoken English (C1+).

How it works 

Apply Pass qualification(s)  Join a project (when available) Complete tasks Get paid

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;
  • Participate into advanced AI projects and gain valuable experience that enhances your portfolio;
  • Influence how future AI models understand and communicate in your field of expertise.

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.

Compensation

Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks - up to the equivalent of $20/hr. Because payment is per task, a faster pace raises your effective hourly rate. Keep in mind, quality standards must be maintained, regardless of speed.