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

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Remote Data Labelling information

See Fremont, CA salary details

$50.4K

$180.6K

$266.6K

How much do remote data labelling jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote data labelling in Fremont, CA is $180,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $146,100.00 and $186,100.00 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 Fremont, CA?

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

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

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

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

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

Remote Data Labelling jobs near you
Infographic showing various Remote Data Labelling job openings in Fremont, CA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $180,640 per year, or $86.8 per hour.

Data Labeling Specialist (Remote)

Workada

San Francisco, CA • Remote

$17/hr

Contractor

Re-posted 25 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

Apply