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Remote Data Labelling Jobs in Anaheim, CA (NOW HIRING)

TSMG

AI/ML Data Contributor

Los Angeles, CA · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Los Angeles, CA · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Hook Music

Product Designer, Studio

Los Angeles, CA · Remote

By partnering directly with artists, labels, and rightsholders, Hook ensures music is discovered ... This role is remote or hybrid for candidates applying from the NY metro area. What you'll do * Own ...

MemorialCare

Registered Dietitian PD

Long Beach, CA · On-site +1

$42/hr

Identifies and labels specific nutrition diagnosis(es) derived from the assessment data.Prioritizes ... May provide on-call coverage, and/or perform work that requires remote access and/or telecommuting.

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Remote Data Labelling information

See Anaheim, CA salary details

$48.2K

$172.8K

$254.9K

How much do remote data labelling jobs pay per year?

As of Sep 14, 2026, the average yearly pay for remote data labelling in Anaheim, CA is $172,758.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,800.00 and $178,000.00 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 popular job titles related to Remote Data Labelling jobs in Anaheim, CA?

For Remote Data Labelling jobs in Anaheim, CA, the most frequently searched job titles are:

What job categories do people searching Remote Data Labelling jobs in Anaheim, CA look for?

The top searched job categories for Remote Data Labelling jobs in Anaheim, CA are:

What cities near Anaheim, CA are hiring for Remote Data Labelling jobs?

Cities near Anaheim, CA with the most Remote Data Labelling job openings:

Remote Data Labelling jobs near you
Infographic showing various Remote Data Labelling job openings in Anaheim, CA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $172,758 per year, or $83.1 per hour.

AI/ML Data Contributor

Los Angeles, CA • Remote

TSMG
See more jobs at TSMGexternal

Full-time

Re-posted 20 days ago

Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.