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Work From Home Remote Data Labeling Jobs in Berkeley, CA

They work in many industries, including business, finance, science, medicine, and government To ... Collecting and interpreting data from various sources: Data analysts are responsible for gathering ...

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Work From Home Remote Data Labeling information

What is the difference between Work From Home Remote Data Labeling vs Work From Home Remote Data Annotation?

AspectWork From Home Remote Data LabelingWork From Home Remote Data Annotation
Primary TaskLabeling data such as images, videos, or text for machine learningAnnotating data with detailed tags or notes for AI training
Required SkillsBasic understanding of data types, attention to detailSimilar skills, often requiring more specific annotation tools knowledge
Work EnvironmentRemote, flexible hours, online platformsRemote, similar environment, often on the same platforms
Industry UsageCommon in AI and machine learning sectorsUsed in AI, computer vision, NLP projects

Both roles involve remote data work for AI training, with slight differences in task complexity and terminology. Data labeling generally refers to broad categorization, while data annotation involves detailed tagging. They are often used interchangeably but may vary by employer.

How can I get started in work from home remote data labeling?

To start as a remote data labeler, you should develop basic skills in data annotation and familiarize yourself with labeling tools such as Labelbox or Amazon SageMaker Ground Truth. Many companies require a reliable internet connection, attention to detail, and sometimes a simple test or onboarding process before beginning work from home. Gaining experience through online courses or practice datasets can improve your chances of securing a position.

What are popular job titles related to Work From Home Remote Data Labeling jobs in Berkeley, CA?

For Work From Home Remote Data Labeling jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Work From Home Remote Data Labeling jobs in Berkeley, CA look for?

The top searched job categories for Work From Home Remote Data Labeling jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Work From Home Remote Data Labeling jobs?

Cities near Berkeley, CA with the most Work From Home Remote Data Labeling job openings:

Infographic showing various Work From Home Remote Data Labeling job openings in Berkeley, CA as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Data Labeling Specialist (Remote)

San Francisco, CA • Remote

$17/hr

Contractor

Re-posted 4 days ago


Job description

At Workada, we're not just labeling data — we're helping improve the technology people use every day. Our work creates the examples and feedback that make advanced systems more accurate, consistent, and useful.

Learn more about us at workada.co

About the role

We're hiring detail-oriented individuals comfortable working on a computer and interested in careful, focused digital work. Tasks include reviewing written information, images, documents, or other digital content, categorizing examples, evaluating responses, and quality-checking data.

Who we're looking for

  • Strong readers and writers with good judgment
  • People who can follow detailed instructions consistently
  • Comfortable using web-based tools and online platforms
  • Takes quality seriously and can spot mistakes or inconsistencies
  • Values integrity, reliability, and a commitment to high-quality work

Qualifications

  • Reliable internet connection and computer
  • Strong attention to detail
  • Ability to follow written guidelines independently
  • Clear written communication skills
  • Basic familiarity with spreadsheets or web-based tools
  • Prior experience in data labeling, annotation, writing, research, or operations is helpful but not required
  • Must be based in US or Canada

Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.

Company Description

At Workada, we're not just labeling data — we're helping improve the technology people use every day. Our work creates the examples and feedback that make advanced systems more accurate, consistent, and useful.

Learn more about us at workada.co