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Remote Data Labelling Jobs in Spring Valley, CA (NOW HIRING)

Erasca

VP Global Pharmacovigilance

San Diego, CA · On-site +1

$370K - $390K/yr

Represent GPV at independent Data Safety Monitoring Committee meetings. * Provide medical oversight ... labeling, Company Core Safety Information, etc). * Work with external partners to jointly manage ...

Erasca

VP Global Pharmacovigilance

San Diego, CA · On-site +1

Represent GPV at independent Data Safety Monitoring Committee meetings. * Provide medical oversight ... labeling, Company Core Safety Information, etc). * Work with external partners to jointly manage ...

Erasca

VP Global Pharmacovigilance

San Diego, CA · On-site +1

Represent GPV at independent Data Safety Monitoring Committee meetings. * Provide medical oversight ... labeling, Company Core Safety Information, etc). * Work with external partners to jointly manage ...

TERRA VISTA MANAGEMENT INC

Senior Paralegal

Del Mar, CA · On-site +1

$38 - $48/hr

With the potential to be primarily remote, the role will require occasional on-site work at our ... labelling) of documents, interview employees and analyze data, and review and revise written ...

Scalian

Talent Acquisition Specialist

San Diego, CA · Remote

Permanent contract / Remote work possible More than 3 to 5 years\' experience in a similar position ... Awarded the Great Place to Work label, SCALIAN is growing by 20% every year. Why SCALIAN? Because ...

Scalian

Talent Acquisition Specialist

La Jolla, CA · On-site +1

Permanent contract / Remote work possible More than 3 to 5 years' experience in a similar position ... Awarded the Great Place to Work label, SCALIAN is growing by 20% every year. Why SCALIAN? Because ...

Scalian

Talent Acquisition Specialist

La Jolla, CA · Remote

Permanent contract / Remote work possible More than 3 to 5 years' experience in a similar position ... Awarded the Great Place to Work label, SCALIAN is growing by 20% every year. Why SCALIAN? Because ...

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Remote Data Labelling information

See Spring Valley, CA salary details

$47.1K

$168.8K

$249.1K

How much do remote data labelling jobs pay per year?

As of Jun 4, 2026, the average yearly pay for remote data labelling in Spring Valley, CA is $168,842.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,600.00 and $173,900.00 per year, depending on experience, location, and employer.

What is a Remote Data Labelling job?

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 the Remote Data Labelling position, and why are they important?

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.
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Remote Data Labelling jobs near you

AI Training Specialist (Data Annotation)

Remote Talent Cloud

San Diego, CA • Remote

$20/hr

Full-time, Part-time

Posted 25 days ago

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