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Remote Labeler Jobs in California (NOW HIRING)

Remote Pay Rate: $25.00-$30.00 per hour Schedule: * Part-Time (0.5 FTE) * Weekdays * Day Shift: 8 ... Prepare, compound, and label intravenous admixtures, chemotherapy medications, and parenteral ...

Remote Role Responsibilities * Review and evaluate AI-generated outputs related to threat analysis ... Annotate, label, and validate data across cybersecurity use cases like CVE classification accuracy ...

This role is based in San Francisco with four days in-office and one day remote. What You'll Do ... Collaborate with teams who work directly with artists and labels every day to ensure our tools ...

... labeling and evaluation, used by over 1 million practitioners worldwide. We specialize in the ... San Francisco, CA preferred; open to other remote options About the Role HumanSignal Services runs ...

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Remote Labeler information

What is the difference between Remote Labeler vs Data Annotator?

AspectRemote LabelerData Annotator
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, home-basedRemote, home-based or office
Industry UsageCommon in AI training, machine learningUsed in AI, autonomous vehicle data, medical imaging

Both Remote Labelers and Data Annotators perform tasks involving data organization and labeling for AI systems. While their roles are similar, Remote Labelers often focus on image or video labeling for machine learning, whereas Data Annotators may handle a broader range of data types. Both roles typically require basic technical skills and are performed remotely, making them accessible for remote work opportunities in the AI industry.

What are the most commonly searched types of Labeler jobs in California? The most popular types of Labeler jobs in California are:
What cities in California are hiring for Remote Labeler jobs? Cities in California with the most Remote Labeler job openings:
Infographic showing various Remote Labeler job openings in California as of August 2026, with employment types broken down into 57% Full Time, 24% Part Time, 6% Temporary, and 13% Contract. Highlights an 24% In-person, and 76% Remote job distribution.

AI Training Specialist (Data Annotation)

Remote Talent Cloud

San Diego, CA • Remote

$20/hr

Contractor

Re-posted yesterday


Job description

As an AI Training Specialist (Data Annotation), you'll play a key role in helping train and improve artificial intelligence (AI) systems. Your work will directly support how AI models learn to recognize text, images, and other data accurately.

Your main responsibilities will include:

  • Labeling and categorizing data (such as text, images, or short videos) according to detailed project guidelines
  • Reviewing and verifying data for accuracy, consistency, and completeness
  • Identifying and flagging any errors, inconsistencies, or unclear data
  • Following clear annotation instructions to ensure high-quality results
  • Meeting productivity and accuracy goals within project timelines
  • Maintaining confidentiality and adhering to all data security standards

Requirements

We're looking for detail-oriented individuals who are comfortable working independently and enjoy structured, accuracy-focused tasks. The ideal candidate will have:

  • This is a fully remote position, but you must be located within the United States
  • Excellent attention to detail and strong organizational skills
  • A reliable Internet connection and computer
  • The ability to focus for extended periods and follow detailed written instructions
  • Strong written communication skills in English
  • Previous data annotation, labeling, or transcription experience is a plus, but not required

Benefits

  • Fully remote: work from anywhere within the United States
  • Full-time and part-time available
  • Competitive hourly pay from $20/hr
  • Training provided for all annotation tools and workflows
  • Gain hands-on experience supporting real-world AI training projects
  • Be part of a growing remote team working on cutting-edge technology