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Data Annotation Analyst Jobs in California (NOW HIRING)

Abaka AI

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

... Program Management, Analytics, Consulting, AI Operations, or related fields • Strong ... data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

Abaka AI

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

... Program Management, Analytics, Consulting, AI Operations, or related fields • Strong ... data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

Data Annotation

$50 - $60/hr

Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management * A current, in progress, or completed Master's and/or PhD is ...

Tapestry

Data Science Manager

Mountain View, CA · On-site

... annotation strategy that prioritizes quality through statistical rigor, ensuring data reliability for all downstream modeling. 3. Problem Definition and Advanced Analytics * Grid Visibility and ...

Data Annotation

$50 - $60/hr

Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management * A current, in progress, or completed Master's and/or PhD is ...

Tapestry

Data Science Manager

Mountain View, CA · On-site

... annotation strategy that prioritizes quality through statistical rigor, ensuring data reliability for all downstream modeling. 3. Problem Definition and Advanced Analytics * Grid Visibility and ...

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All JobsData Annotation Analyst JobsData Annotation Analyst Jobs in California

Data Annotation Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do data annotation analyst jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data annotation analyst in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

Is it difficult to get a job at data annotation?

Securing a data annotation analyst position generally requires attention to detail, basic understanding of data labeling tools, and sometimes prior experience or training. Entry-level roles are often accessible with minimal experience, but more advanced positions may demand specific skills or knowledge of machine learning concepts.

Does data annotation actually pay well?

Data annotation analysts typically earn entry-level wages that are often below average for tech-related roles, with pay varying based on experience, location, and the complexity of annotation tasks. While some positions offer higher pay for specialized skills or certifications, overall compensation tends to be modest compared to other data science or engineering roles.

What does a typical day look like for a Data Annotation Analyst?

As a Data Annotation Analyst, your day usually involves reviewing various data types (like images, text, or audio) and applying precise labels or tags according to specific project guidelines. You may participate in regular team meetings to clarify instructions, resolve ambiguities, and update productivity targets. Routine feedback sessions with quality assurance teams are common to ensure consistency and accuracy in the annotated data. Collaboration with data scientists or machine learning engineers might also occur to improve annotation processes or address edge cases. The work environment is typically structured, with deadlines and accuracy benchmarks guiding daily activities.

What is a data annotation analyst?

A data annotation analyst is a professional who labels and categorizes data, such as images, text, or videos, to help train machine learning models. They use tools and follow guidelines to ensure data quality and accuracy, often working with large datasets in a structured environment.

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

To excel as a Data Annotation Analyst, you need strong attention to detail, analytical abilities, and familiarity with data labeling processes, often supported by a relevant degree or experience in data handling. Proficiency with specialized annotation tools (such as Labelbox or CVAT), spreadsheet software, and sometimes scripting languages is highly valued. Excellent communication skills, adaptability, and the ability to work independently or collaboratively are crucial soft skills in this role. These skills ensure accurate, high-quality data annotations that are essential for training reliable machine learning models.

Is data annotation still hiring?

Data annotation analyst roles are currently in demand as companies continue to develop AI and machine learning models. These positions often require attention to detail, familiarity with annotation tools, and sometimes basic knowledge of data privacy standards. Opportunities are available across various industries, including technology, healthcare, and automotive sectors.

What is a Data Annotation Analyst job?

A Data Annotation Analyst is responsible for labeling, tagging, and categorizing data to help train and improve machine learning models. They work with text, images, audio, or video, ensuring that datasets are accurate and high-quality. This role requires attention to detail, consistency, and familiarity with annotation guidelines to enhance AI performance.

What are the most commonly searched types of Data Annotation Analyst jobs in California? The most popular types of Data Annotation Analyst jobs in California are:
What are popular job titles related to Data Annotation Analyst jobs in California? For Data Annotation Analyst jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Annotation Analyst jobs in California look for? The top searched job categories for Data Annotation Analyst jobs in California are:
Data Annotation Analyst jobs near you
Infographic showing various Data Annotation Analyst job openings in California as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 8% Part Time, 2% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Data Solutions Engineer

Abaka AI

Mountain View, CA • On-site

$136K - $163K/yr

Full-time

Re-posted 26 days ago

Job description

Job Summary:
Abaka AI is built on the mission to be the world’s most trusted data partner for AI companies, supporting global partners with scalable data solutions. The Data Solutions Engineer will bridge technical execution and customer needs across AI data projects, working closely with clients and various teams to design scalable data workflows and support project execution.
Responsibilities:
• Partner with clients and internal stakeholders to understand project requirements and define scalable data workflows
• Translate customer needs into operational plans, technical specifications, and execution strategies
• Support AI data projects across image, video, audio, text, reasoning, and multimodal domains
• Troubleshoot dataset quality issues and identify workflow improvements
• Collaborate cross-functionally with Project Management, Operations, Research, GTM, and Engineering teams
• Assist with dataset reviews, QA processes, delivery validation, and project health tracking
• Build or improve lightweight internal tooling, automations, and operational systems
• Support presales conversations by helping scope project feasibility, timelines, and technical requirements
• Develop a strong understanding of frontier AI workflows, benchmarks, and model development needs
• Contribute to internal documentation, process standardization, and operational scalability
Qualifications:
Required:
• 1–4 years of experience in Solutions Engineering, Data Operations, Technical Program Management, Analytics, Consulting, AI Operations, or related fields
• Strong communication skills with the ability to explain technical concepts clearly to both technical and non-technical stakeholders
• Highly organized with strong problem-solving abilities and attention to detail
• Comfortable operating in fast-paced startup environments with evolving priorities
• Interest in AI, machine learning, multimodal systems, or data infrastructure
Preferred:
• Familiarity with SQL, Python, scripting, APIs, spreadsheets, or workflow automation tools is a plus
• Experience working cross-functionally with technical and operational teams preferred
Company:
Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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