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Ai Data Annotation Remote Jobs in California (NOW HIRING)

Data Engineer III

Menlo Park, CA · On-site +1

$134K - $162K/yr

... AI-augmented, large-scale data pipelines (billions of images) integrating traditional transformations with ML models (classifiers, embeddings, LLMs) for cleaning and annotation. Remote Inference ...

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on ... annotation , labeling, evaluation, or human feedback collection. * Experience with LLMs , AI ...

Senior AI/ML Engineer

Sunnyvale, CA · On-site +1

$124K - $170K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... data-annotation pipelines and machine-led training data solutions at foundation-model scale . We ...

Senior AI/ML Engineer

Sacramento, CA · On-site +1

$113K - $156K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... data annotation (pre‑labeling, autolabeling, active learning loops), helping us move from ...

Calling US-based Google Wallet Users for an Exclusive AI Evaluation Project . Open to recent ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

New

Calling US-based Google Wallet Users for an Exclusive AI Evaluation Project . Open to recent ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

New

Calling US-based Google Wallet Users for an Exclusive AI Evaluation Project . Open to recent ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

New

Calling US-based Google Wallet Users for an Exclusive AI Evaluation Project . Open to recent ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

New

Calling US-based Google Wallet Users for an Exclusive AI Evaluation Project . Open to recent ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

New

Calling US-based Google Wallet Users for an Exclusive AI Evaluation Project . Open to recent ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

New

Calling US-based Google Wallet Users for an Exclusive AI Evaluation Project . Open to recent ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

New

Calling US-based Google Wallet Users for an Exclusive AI Evaluation Project . Open to recent ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

New

Calling US-based Google Wallet Users for an Exclusive AI Evaluation Project . Open to recent ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

New

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Showing results 1-20

Ai Data Annotation Remote information

What is an AI Data Annotation Remote job?

An AI Data Annotation Remote job involves labeling, tagging, or categorizing data used to train artificial intelligence models. Annotators work with text, images, audio, or video to ensure machine learning algorithms receive accurate and high-quality input. This role is performed remotely, allowing flexibility in work location and schedule. Attention to detail, consistency, and familiarity with annotation tools are essential skills for this job.

What does a typical day look like for someone working remotely in AI data annotation?

A typical day for a remote AI Data Annotation worker involves reviewing and labeling various types of data such as images, text, or audio according to specific guidelines provided by the employer or project lead. You may use specialized annotation software and work through batches of data while following quality standards and deadlines. Periodic team check-ins or virtual meetings help clarify instructions, address questions, and monitor progress. While most of the work is independent, communication with supervisors or quality assurance teams is important to ensure that data labeling is consistent and accurate.

What are the key skills and qualifications needed to thrive in the Ai Data Annotation Remote position, and why are they important?

To thrive as an AI Data Annotation Remote worker, you need strong attention to detail, familiarity with data labeling processes, and a basic understanding of machine learning concepts, often supported by a high school diploma or relevant experience. Familiarity with data annotation platforms such as Labelbox, Supervisely, or AWS SageMaker Ground Truth is typically required, and certifications in data annotation or AI may be advantageous. Strong time management, the ability to work independently, and clear communication skills are valuable in this remote role. These abilities ensure accurate and efficient data labeling, which is critical for training reliable AI models.

What are the most commonly searched types of Ai Data Annotation jobs in California? The most popular types of Ai Data Annotation jobs in California are:
What are popular job titles related to Ai Data Annotation Remote jobs in California? For Ai Data Annotation Remote jobs in California, the most frequently searched job titles are:
What job categories do people searching Ai Data Annotation Remote jobs in California look for? The top searched job categories for Ai Data Annotation Remote jobs in California are:
What cities in California are hiring for Ai Data Annotation Remote jobs? Cities in California with the most Ai Data Annotation Remote job openings:
Infographic showing various Ai Data Annotation Remote job openings in California as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% Remote job distribution.

AI Training Specialist (Data Annotation)

Remote Talent Cloud

Los Angeles, CA • Remote

$20/hr

Contractor

Posted 7 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