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Home Based Data Labeling Jobs in California (NOW HIRING)

TSMG

AI/ML Data Contributor

Los Angeles, CA

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 ...

TSMG

AI/ML Data Contributor

Los Angeles, CA

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 ...

TSMG

AI/ML Data Contributor

Los Angeles, CA · On-site

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 ...

TSMG

AI/ML Data Contributor

Los Angeles, CA · On-site

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 ...

TSMG

AI/ML Data Contributor

Los Angeles, CA · On-site

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 ...

TSMG

AI/ML Data Contributor

Los Angeles, CA · On-site

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 ...

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All JobsHome Based Data Labeling JobsHome Based Data Labeling Jobs in California

Home Based Data Labeling information

How much are data labelers paid?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the employer. Many remote data labeling jobs pay on a per-task basis or hourly, with some positions offering flexible schedules and requiring basic computer skills.

How can I make 2000 a week working from home?

Home based data labeling can contribute to earning income, but making $2000 weekly typically requires completing a high volume of tasks or working multiple platforms simultaneously. Success depends on efficiency, accuracy, and the pay rate per label, which varies by project. Building skills in data annotation tools and maintaining consistent productivity are essential for higher earnings.

What is the difference between Home Based Data Labeling vs Data Annotation Specialist?

AspectHome Based Data LabelingData Annotation Specialist
CredentialsBasic computer skills, attention to detailSimilar, often requires familiarity with annotation tools
Work EnvironmentRemote, home-basedRemote or office-based, depending on employer
Industry UsageCommon in AI training data preparationUsed in AI, machine learning, and data science projects
Search IntentLooking for remote data labeling jobsSearching for data annotation roles or projects

Home Based Data Labeling involves individuals performing labeling tasks remotely, often with minimal credentials. Data Annotation Specialists may have similar skills but can work in more structured environments or with specialized tools. Both roles support AI development and are popular in remote work settings, with overlapping skills but slight differences in job scope and environment.

Is data labelling a good career?

Data labeling is a common entry-level job in the data annotation industry, involving categorizing and tagging data for machine learning models. It offers flexible schedules and requires attention to detail but typically provides low to moderate pay and limited career advancement without additional skills or certifications.

Is data labeling work from home?

Home-based data labeling is a common remote job where individuals annotate data for machine learning models. It typically requires a computer, internet connection, and attention to detail, and can often be performed on flexible schedules. Many companies offer data labeling roles that are fully remote, making it accessible from home.
What are the most commonly searched types of Data Labeling jobs in California? The most popular types of Data Labeling jobs in California are:
Home Based Data Labeling jobs near you

AI/ML Data Contributor

TSMG

Los Angeles, CA

Full-time

Posted 5 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.