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Annotation Jobs in California (NOW HIRING)

Sunday

Data Annotation Lead

Redwood City, CA · On-site

Responsibilities : • Build a data annotation team • Manage the people side of data annotations • Create documentation • Be in the weeds and annotate data yourself anytime something new is ...

Sunday Inc

Data Annotation Lead

Redwood City, CA · On-site

This role is about building and leading a world class in-house data annotation team that is able to pivot quickly to any research experiment while delivering on quality, quantity, and variety when it ...

Alignerr

Video Shot Annotation Artist

San Francisco, CA

$30 - $50/hr

Join to apply for the Video Shot Annotation Artist role at Alignerr About Alignerr Alignerr works with AI labs that need high‑quality, human‑created descriptions of film and video. Our teams help ...

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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.
Data Annotation Lead

Data Annotation Lead

Sunday

Redwood City, CA • On-site

Full-time

Posted 10 days ago

Job description

Job Summary:
Sunday is developing personal robots to reclaim the hours lost to repetitive tasks, and they are seeking a Data Annotations Lead to build and lead an in-house data annotation team. This role involves managing the people side of data annotations, creating processes, and ensuring quality in data annotation efforts.
Responsibilities:
• Build a data annotation team
• Manage the people side of data annotations
• Create documentation
• Be in the weeds and annotate data yourself anytime something new is being designed
• Create data annotation processes
Qualifications:
Required:
• Clear written and verbal communication to guide our data annotators
• Your ability to manage unexpected challenges
• Your ownership of key stakeholders with data annotators, engineering, and support
• Excitement for the growth and development of data annotation
• Someone adept at prioritization of competing requests, who's able to move both quickly, and in an organized manner
• A level of hardcore-ness while still treating people like people
• Intermediate level understanding of ML
Preferred:
• Previous experience leading data annotation teams
• Technical skills to build tools for data annotation
• Ability to leverage AI to help improve productivity
Company:
Sunday is a robotics startup that builds home robots that utilize AI to assist with household tasks. Founded in 2024, the company is headquartered in Mountain View, USA, with a team of 11-50 employees. The company is currently Early Stage.

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