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Data Annotation Engineer Jobs in California (NOW HIRING)

Technical Program Manager, Data Engine

Redwood City, CA · On-site

$157K - $204K/yr

They are seeking a Technical Program Manager, Data Engine to manage data annotation and collection ... operators, engineering, and support • Excitement for the growth and development of AI data • ...

Human Data Solutions Engineer

San Francisco, CA · On-site

$134K - $162K/yr

The role As a Human Data Operations & Solutions Engineer at Encord, you will sit at the ... You'll own the full arc: leading technical discovery on demo calls, designing the annotation ...

Human Data Solutions Engineer

San Francisco, CA · On-site

$134K - $162K/yr

The role As a Human Data Operations & Solutions Engineer at Encord, you will sit at the ... You'll own the full arc: leading technical discovery on demo calls, designing the annotation ...

CA · On-site

$26 - $29/wk

Programming: Program parts using 2D and/or 3D toolpaths with Surfcam or Mastercam on mills and lathes. * Blueprint Reading: Read and interpret prints, specification sheets, and 3D files to determine ...

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

The Data Solutions Engineer role involves bridging technical execution and customer needs across AI ... data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

The Data Solutions Engineer will bridge technical execution and customer needs, working closely ... data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

The Data Solutions Engineer will bridge technical execution and customer needs across AI data ... data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

... annotation pipelines • At least 1 year of engineering experience or strong technical fluency • Experience as an early hire at a startup or spearheading ops at an AI lab • Familiarity with data ...

Technical Program Manager, Data

San Francisco, CA · On-site

$152K - $196K/yr

They are seeking a Senior Technical Program Manager to lead their data collection and annotation ... tooling engineers to support data-related tasks. • Oversee data acquisition processes.

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Showing results 1-20

Data Annotation Engineer information

See California salary details

$50.8K

$145.5K

$194.4K

How much do data annotation engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for data annotation engineer in California is $145,530.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,900.00 and $193,400.00 per year, depending on experience, location, and employer.

What are the main challenges faced by Data Annotation Engineers in their daily work?

One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.

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

To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.

Is data annotation real or fake?

Data annotation is a real and essential process in machine learning where human annotators label data such as images, text, or audio to train AI models. Data annotation engineers perform this work using specialized tools and quality standards to ensure accurate and reliable datasets.

What is a data annotation engineer?

A data annotation engineer is a professional responsible for labeling and annotating data, such as images, text, or videos, to train machine learning models. They often use specialized tools and follow guidelines to ensure data quality and accuracy, supporting AI development and data-driven applications.

How hard is it to get a job with data annotation tech?

Getting a job as a Data Annotation Engineer typically requires basic computer skills, attention to detail, and familiarity with annotation tools or platforms. Entry-level positions are often accessible with minimal formal education, but having knowledge of machine learning concepts or experience with data labeling can improve job prospects.

Does data annotation really pay you?

Data annotation engineers are typically paid for their work, often earning hourly wages or project-based fees depending on the employer or platform. Compensation varies based on experience, skill level, and the complexity of annotation tasks, which may involve using tools like labeling software or AI platforms.

What is a Data Annotation Engineer job?

A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.

What job categories do people searching Data Annotation Engineer jobs in California look for? The top searched job categories for Data Annotation Engineer jobs in California are:
What cities in California are hiring for Data Annotation Engineer jobs? Cities in California with the most Data Annotation Engineer job openings:
Infographic showing various Data Annotation Engineer job openings in California as of June 2026, with employment types broken down into 63% Full Time, 8% Part Time, and 29% Contract. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $145,530 per year, or $70 per hour.
Matterport - Lead Business Analyst, Data Operations

Matterport - Lead Business Analyst, Data Operations

CoStar Group

Sunnyvale, CA

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


Job description

Lead Business Analyst, Data Operations

CoStar Group is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index, CoStar Group is on a mission to digitize the world's real estate, empowering all people to discover properties, insights, and connections that improve their businesses and lives.

Matterport is leading the digital transformation of the built world. Our groundbreaking spatial computing platform turns buildings into data, making every space more valuable and accessible. Millions of buildings in more than 170 countries have been transformed into immersive Matterport digital twins to improve every part of the building lifecycle—from planning, construction, and operations to documentation, appraisal, and marketing.

About the Role

As a Lead Data Annotation Business Analyst at Matterport, a part of CoStar Group, you will be pivotal in building the foundation for our AI and computer vision models. This is a strategic role that goes far beyond traditional business analysis—you will manage the entire lifecycle of data annotation projects, ensuring that our models are trained on high-quality, well-structured datasets that reflect real-world complexity.

You will collaborate with product managers and ML engineers to define ontology requirements, design annotation workflows, and manage internal and external annotation teams. From sampling data and creating annotation guidelines to reviewing outputs and integrating results into production pipelines, you will be the driving force behind the quality and scalability of our training data.

This role offers significant development potential: you will influence Matterport's data strategy and have the opportunity to evolve into a leadership position overseeing global data operations and annotation strategy.

This role is located in Sunnyvale, CA and is 4 days on-site and 1 day work from home.

What You Will Do
  • Own the Data Annotation Lifecycle: Manage all internal and third-party annotation projects, from requirements gathering to final data delivery.
  • Define Ontologies and Standards: Work with product and engineering teams to translate model requirements into clear, scalable annotation schemas.
  • Design and Launch Annotation Projects: Sample datasets, create detailed guidelines, and ensure annotation quality through robust QA processes.
  • Vendor and Team Management: Coordinate with external providers and internal teams to ensure timely, accurate, and cost-effective project execution.
  • Integrate and Validate Outputs: Collaborate with ML engineers to ingest annotated data, review results, and iterate for continuous improvement.
  • Optimize Processes: Develop workflows, tools, and best practices for annotation at scale, leveraging automation where possible.
  • Drive Strategic Impact: Influence Matterport's data strategy and contribute to building world-class AI models for spatial computing.
Basic Qualifications
  • Bachelor's degree required from an accredited, not-for-profit, in-person college/university
  • A track record of commitment to prior employers.
  • 3+ years of experience in data operations, annotation management, or business analysis in a technical environment.
  • Strong understanding of data structures, ontologies, and annotation workflows.
  • Excellent organizational and project management skills with attention to detail.
  • Familiarity with ML concepts and data requirements for model training.
  • Experience working with external vendors and managing cross-functional teams.
  • Proficiency in tools like Excel, SQL, and project management platforms.
Preferred Qualifications
  • Experience in computer vision or ML-driven products.
  • Knowledge of annotation tools and platforms (e.g., Dataloop, Hasty, Scale.ai, Deeplake).
  • Familiarity with workflow orchestration and automation tools.
  • Strong analytical skills and ability to translate technical requirements into operational plans.
  • Demonstrated ability to scale processes and manage multiple projects simultaneously.
Perks & Benefits

When you join CoStar Group, you'll experience a collaborative and innovative culture working alongside the best and brightest to empower our people and customers to succeed.

We offer you generous compensation and performance-based incentives. CoStar Group also invests in your professional and academic growth with internal training, tuition reimbursement, and an inter-office exchange program.

Our benefits package includes (but is not limited to):

  • Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug
  • Life, legal, and supplementary insurance
  • Virtual and in-person mental health counseling services for individuals and family
  • Commuter and parking benefits
  • 401(K) retirement plan with matching contributions
  • Employee stock purchase plan
  • Paid time off
  • Tuition reimbursement
  • Access to CoStar Group's Culture Employee Resource Groups
  • Complimentary in-office gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks
Pay Transparency

This position offers an annual OTE pay range from $149,000 - $189,000 determined by relevant skills and experience, in addition to a generous benefits plan.

CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing.