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Annotation Jobs in California (NOW HIRING)

Encord

Human Data Operations Strategist

San Francisco, CA · On-site

$150K - $230K/yr

Oversee data annotation projects, translating complex AI and machine learning requirements into clear workflows and instructions for data annotation teams * Ensure the highest standards of data ...

Encord

Human Data Operations Strategist

San Francisco, CA · On-site

$150K - $230K/yr

Oversee data annotation projects, translating complex AI and machine learning requirements into clear workflows and instructions for data annotation teams * Ensure the highest standards of data ...

Encord

Human Data Solutions Engineer

San Francisco, CA · On-site

$134K - $162K/yr

You'll own the full arc: leading technical discovery on demo calls, designing the annotation workflow, managing the delivery of sample datasets, and translating the results into a compelling case for ...

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All JobsAnnotation JobsAnnotation Jobs in California

Annotation information

See California salary details

$44.4K

$57.6K

$96.2K

How much do annotation jobs pay per year?

As of Jun 17, 2026, the average yearly pay for annotation in California is $57,650.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,900.00 and $57,200.00 per year, depending on experience, location, and employer.

What is an Annotation job?

An annotation job involves labeling or tagging data, such as text, images, audio, or video, to help train artificial intelligence and machine learning models. Annotators manually or semi-automatically add metadata, such as identifying objects in images, transcribing speech, or categorizing text. This process improves AI accuracy by providing high-quality training data. Annotation work is crucial for industries like autonomous driving, healthcare, and natural language processing.

Is it hard to get a job with data annotation?

Data annotation jobs typically require attention to detail and basic computer skills, and many positions are entry-level with flexible schedules. While some roles may require familiarity with specific tools or platforms, overall, they are accessible to those willing to learn and follow guidelines.

What does an annotation job do?

An annotation job involves labeling or tagging data, such as images, text, or videos, to help train machine learning models. Annotators use specialized tools to add accurate labels, which are essential for developing AI systems in fields like computer vision and natural language processing.

Which 5 jobs will survive AI?

Annotation jobs, which involve labeling data for machine learning models, are likely to persist as they require human judgment and domain expertise. Roles such as data annotators, quality control specialists, and domain-specific annotators will continue to be essential, especially in complex or nuanced tasks that AI cannot fully automate. Skills in critical thinking and familiarity with annotation tools will remain valuable in this field.

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

Excelling in an Annotation role generally requires keen attention to detail, strong analytical abilities, and a high level of accuracy, often backed by a relevant educational background. Familiarity with annotation tools, data labeling software, and sometimes basic programming or data management platforms is valuable. Effective time management, consistency, and clear communication are soft skills that differentiate top performers. These competencies are crucial to ensuring data quality and supporting the development of machine learning and AI systems.

Is data annotation real or fake?

Data annotation is a legitimate job that involves labeling data such as images, text, or videos to train machine learning models. It requires attention to detail and familiarity with annotation tools, and it is widely used in AI development across various industries.

What are the typical projects or tasks an Annotation specialist works on throughout the week?

Annotation specialists typically work on projects involving the labeling and categorizing of data—such as images, videos, audio, or text—to train machine learning models. Weekly tasks may include reviewing raw data, applying specific tagging guidelines, performing quality checks on completed annotations, and collaborating with team members or machine learning engineers to ensure accuracy and consistency. Frequent feedback sessions and ongoing updates to annotation instructions are common as project requirements evolve. This role often requires close teamwork and clear communication within a collaborative environment, especially for large-scale or rapidly changing projects.

What are the most commonly searched types of Annotation jobs in California? The most popular types of Annotation jobs in California are:
What are popular job titles related to Annotation jobs in California? For Annotation jobs in California, the most frequently searched job titles are:
What job categories do people searching Annotation jobs in California look for? The top searched job categories for Annotation jobs in California are:
What cities in California are hiring for Annotation jobs? Cities in California with the most Annotation job openings:
Annotation jobs near you
Infographic showing various Annotation job openings in California as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $57,650 per year, or $27.7 per hour.

Technical Product Manager - Data Annotation & Labelling

Skild AI

San Mateo, CA

$190K - $219K/yr

Other

Posted 28 days ago

Job description

Position Overview

We are looking for a Technical Product Manager - Data Annotation & Labelling with 5+ years of experience to lead and scale the full operations lifecycle for robotics data collection. This individual will manage a cross-functional team, build scalable systems, and make a significant impact in a rapidly evolving space. This role is crucial for driving execution and continuously improving workflows and systems to support rapid growth. This is a high visibility role that will have enormous impact on the company's trajectory. 

Responsibilities
  • Own and scale the full lifecycle for products pertaining to robotics data collection, labelling and annotation from physical setups to contractor management and annotation pipelines.
  • Drive data operations programs collaborating with operations managers, technicians and engineering
  • Build 0-1 solutions for large scale data pipelines
  • Work with executive leadership to develop data operations strategy and align these to overall corporate goal
Preferred Qualifications
  • 5+ years of experience in a fast-paced, startup-like environment
  • 2+ years in a technical role (e.g., engineer, program manager, product manager) at a technology company
  • Strong technical problem-solving skills, with the ability to quickly learn complex systems
  • Proven track record of supporting cross-functional stakeholders across customers, product, and engineering
  • Proven ability to communicate effectively with senior management
  • Ability to define and drive technology strategy
  • Previous entrepreneurial experience
  • Experience building products or initiatives from 0 to 1
  • BS/MS in Technical discipline

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