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Ai Annotation Jobs in California (NOW HIRING)

Responsibilities : • Build a data annotation team • Manage the people side of data annotations ... to leverage AI to help improve productivity Company : Sunday is a robotics and artificial ...

This role is about building and leading a world class in-house data annotation team that is able to ... Ability to leverage AI to help improve productivity At Sunday Robotics, we're building technology ...

ML Engineer

Los Angeles, CA · On-site

$132K - $165K/yr

Annotation workflow experience (Label Studio, Scale AI, or similar) and a point of view on inter-annotator agreement * Familiarity with PII scrubbing patterns and privacy-by-design data handling

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $150K/yr

Skild AI is building the world's first general purpose robotic intelligence that adapts to unseen ... annotation, QA workflows, dataset management, augmentation, and versioning. • Implement ...

You'll design and build native Android applications that bring Figure's AI training and data-annotation tooling directly into the hands of robot operators and annotators on the floor - where a web ...

You'll design and build native Android applications that bring Figure's AI training and data-annotation tooling directly into the hands of robot operators and annotators on the floor - where a web ...

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Ai Annotation information

What is an AI Annotation job?

An AI Annotation job involves labeling, tagging, or annotating data, such as images, text, or audio, to train machine learning models. Annotators help improve AI accuracy by providing high-quality, structured data that algorithms use to learn patterns. Tasks may include identifying objects in images, transcribing speech, or classifying text-based content. This job is essential for developing AI applications like self-driving cars, chatbots, and image recognition systems.

What are the typical daily responsibilities of an AI Annotation specialist?

As an AI Annotation specialist, your typical day will involve accurately labeling, categorizing, or tagging large volumes of images, text, audio, or video data to train AI models according to project guidelines. You may work independently or as part of a team, using specialized annotation platforms and regularly reviewing your work to ensure quality and consistency. Collaboration with data scientists or project managers may be required to clarify ambiguous cases or update labeling criteria. You can expect periodic feedback and performance reviews to help refine your skills and ensure the data meets the project’s standards, making attention to detail and adaptability essential for success.

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

To thrive as an AI Annotation professional, you need keen attention to detail, strong analytical skills, and a basic understanding of machine learning concepts, often supported by a high school diploma or relevant technical training. Familiarity with data labeling tools, annotation platforms such as Labelbox or Supervisely, and basic spreadsheet or database management is commonly required. Strong communication, time management, and the ability to maintain focus during repetitive tasks are standout soft skills. These abilities are crucial for producing high-quality, consistent data that supports the effective development and accuracy of AI models.

What are the most commonly searched types of Ai Annotation jobs in California? The most popular types of Ai Annotation jobs in California are:
What are popular job titles related to Ai Annotation jobs in California? For Ai Annotation jobs in California, the most frequently searched job titles are:
What job categories do people searching Ai Annotation jobs in California look for? The top searched job categories for Ai Annotation jobs in California are:
What cities in California are hiring for Ai Annotation jobs? Cities in California with the most Ai Annotation job openings:
Infographic showing various Ai Annotation job openings in California as of July 2026, with employment types broken down into 78% Full Time, 9% Part Time, and 13% Contract. Highlights an 70% In-person, and 30% Remote job distribution.

AI Training Specialist (Data Annotation)

Remote Talent Cloud

San Diego, CA • Remote

$20/hr

Contractor

Re-posted 12 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