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Annotation Analyst Jobs in California (NOW HIRING)

Figure

Data Quality Analyst

San Jose, CA · On-site

$30/hr

We are looking for Data Quality Analyst to help us in our efforts to annotate and label our data ... Use proprietary annotation tools to label objects, poses, and interactions in images and video ...

Figure

Data Quality Analyst

San Jose, CA

$30/hr

We are looking for Data Quality Analyst to help us in our efforts to annotate and label our data ... Use proprietary annotation tools to label objects, poses, and interactions in images and video ...

YO AI Labs

AI Finance Expert - Remote

San Jose, CA · Remote

$100 - $200/hr

Financial Analysis * Technical & Report Writing * Business Communication * Content Review & Editing * Fact Checking * Data Interpretation * Data Annotation * Problem-Solving * Independent Research

YO AI Labs

AI Finance Expert - Remote

Los Angeles, CA · Remote

$100 - $200/hr

Financial Analysis * Technical & Report Writing * Business Communication * Content Review & Editing * Fact Checking * Data Interpretation * Data Annotation * Problem-Solving * Independent Research

YO AI Labs

AI Finance Expert - Remote

San Francisco, CA · Remote

$100 - $200/hr

Financial Analysis * Technical & Report Writing * Business Communication * Content Review & Editing * Fact Checking * Data Interpretation * Data Annotation * Problem-Solving * Independent Research

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Showing results 21-40

All JobsAnnotation Analyst JobsAnnotation Analyst Jobs in California

Annotation Analyst information

See California salary details

$30.6K

$72.3K

$128.3K

How much do annotation analyst jobs pay per year?

As of Aug 18, 2026, the average yearly pay for annotation analyst in California is $72,302.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,800.00 and $85,900.00 per year, depending on experience, location, and employer.

What is an annotation analyst?

An Annotation Analyst is responsible for labeling and categorizing data, such as text, images, audio, or video, to help improve machine learning models and AI systems. They follow specific guidelines to ensure accuracy and consistency in annotations. This role often involves reviewing, analyzing, and correcting data to enhance AI algorithms' performance. Annotation Analysts typically work with teams developing natural language processing (NLP), computer vision, or speech recognition technologies. Strong attention to detail and familiarity with industry tools are key skills for success in this role.

What are the typical day-to-day responsibilities of an annotation analyst?

As an Annotation Analyst, your daily responsibilities generally include reviewing and labeling large volumes of data—such as images, text, or audio—according to predefined guidelines or project requirements. You may also participate in quality control processes, address edge cases or ambiguities in the data, and collaborate with project managers, data scientists, or other analysts to ensure consistency and accuracy. Additionally, you might provide feedback on annotation tools or contribute to refining categorization criteria. The role often involves both independent work and teamwork within a fast-paced, detail-oriented environment, where precision is essential for supporting training and evaluation of AI or machine learning models.

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

To thrive as an Annotation Analyst, you need exceptional attention to detail, analytical thinking, and proficiency in data labeling or linguistic annotation, often supported by a relevant degree such as linguistics or computer science. Familiarity with annotation tools and platforms (like Labelbox, Prodigy, or proprietary systems) and knowledge of data privacy standards are highly beneficial. Strong communication, collaboration, and time management skills help in working efficiently with multidisciplinary teams and meeting project deadlines. These qualities are crucial for producing high-quality, accurate datasets that directly impact the success of machine learning and AI initiatives.

What are popular job titles related to Annotation Analyst jobs in California?

For Annotation Analyst jobs in California, the most frequently searched job titles are:

What job categories do people searching Annotation Analyst jobs in California look for?

The top searched job categories for Annotation Analyst jobs in California are:

What cities in California are hiring for Annotation Analyst jobs?

Cities in California with the most Annotation Analyst job openings:

Annotation Analyst jobs near you
Infographic showing various Annotation Analyst job openings in California as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $72,302 per year, or $34.8 per hour.

Project Perseus | Speech & Voice AI Analyst - Croatian Speakers

Welocalize

San Francisco, CA • On-site

Full-time

Re-posted 19 days ago

Welocalize rating

6.5

Company rating: 6.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

332nd of 492 rated business services

Job description

Job Summary:
Welo Data is looking for detail-oriented individuals to join their team as Speech & Voice AI Analysts. The role focuses on executing high-volume data labeling and annotation tasks for speech and voice datasets, ensuring accuracy and consistency in data integrity for AI training pipelines.
Responsibilities:
• Execute high-volume data labeling and annotation tasks across speech and voice datasets
• Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
• Work with audio and language data, including transcription, categorization, and tagging
• Maintain strong throughput while meeting quality expectations
• Escalate unclear or ambiguous cases appropriately
• Adapt to evolving guidelines and workflows as systems and requirements change
• Support baseline data production needs for AI training pipelines
• Contribute to team calibrations and quality alignment sessions
Qualifications:
Required:
• Native-level fluency in Croatian
• Strong written communication skills and language fundamentals
• 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field.
• Ability to follow detailed instructions and apply guidelines consistently
• High attention to detail and ability to maintain accuracy in repetitive tasks
• Comfort working in structured, process-driven environments
• Ability to manage time effectively and maintain steady output
• Willingness to ask questions and escalate when needed
Preferred:
• Basic familiarity with AI, speech technology, or language data is a plus
Company:
Welocalize provides translation supply chain management solutions that deliver market-ready, translated content. Founded in 1997, the company is headquartered in Frederick, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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