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Data Annotation Manager Jobs in California (NOW HIRING)

RLink Solutions

Data Annotator

Sunnyvale, CA · On-site

Commit to ongoing education to stay updated on 0the latest developments in data management, AI/ML goals, and new annotation platforms. Requirements: -Bachelor's degree; familiar with 3D scenes or ...

Comrise

CA · On-site

$26 - $29/wk

Partner with Project Managers to calculate time and material costs for quoting and provide technical guidance to less experienced machinists. * Maintenance: Assist with the cleaning and preventative ...

Arthur Lawrence

Data Annotator

Fremont, CA · On-site

Experience in autonomous vehicle data annotation, including LiDAR/Point Cloud and 2D image labeling ... Familiarity with AI/ML concepts, data management, and data analysis platforms. About Us: Arthur ...

Sesame

Technical Program Manager, Data

San Francisco, CA · On-site

$200K - $260K/yr

Lead audio data collection and annotation efforts at Sesame. * Collaborate with research and product teams to understand and formalize their requirements. * Identify and manage internal resources and ...

campus4tech

Technical Program Manager III

Mountain View, CA · On-site

$152K - $197K/yr

This role sits at the intersection of program management, data operations, and AI/ML, and will play a pivotal part in ensuring that our data annotation efforts are scalable, high-quality, and aligned ...

Welocalize, Inc.

Data Labeling Analyst

New York, NY

Data Management and Annotation: * Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees. * Handle data efficiently, ensuring ...

Welocalize, Inc.

Data Labeling Associate

New York, NY

$17.50 - $22.75/hr

Data Management and Annotation: * Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees. * Handle data efficiently, ensuring ...

Welocalize, Inc.

Data Labeling Associate

San Diego, CA

$17 - $22/hr

Data Management and Annotation: * Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees. * Handle data efficiently, ensuring ...

Welocalize, Inc.

Data Quality Analyst

San Francisco, CA · On-site

Data Management and Annotation: * Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees. * Handle data efficiently, ensuring ...

Intuitive

Mgr Clinical Data

Sunnyvale, CA · On-site

You will build and scale a high-performing organization of internal annotation specialists and ... in data operations or ML dataset management, including experience leading multiple teams or ...

Welocalize, Inc.

Data Quality Analyst

San Francisco, CA · On-site

Data Management and Annotation: * Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees. * Handle data efficiently, ensuring ...

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All JobsData Annotation Manager JobsData Annotation Manager Jobs in California

Data Annotation Manager information

See California salary details

$30.6K

$95.9K

$169.7K

How much do data annotation manager jobs pay per year?

As of Jul 2, 2026, the average yearly pay for data annotation manager in California is $95,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,100.00 and $123,900.00 per year, depending on experience, location, and employer.

What is the salary of data annotation manager?

The salary of a data annotation manager typically ranges from $60,000 to $120,000 annually, depending on experience, location, and company size. Senior roles or those in high-cost areas may offer higher compensation, and familiarity with annotation tools and team management can influence pay levels.

How much do data annotation project managers make?

Data annotation project managers typically earn between $60,000 and $100,000 annually, depending on experience, location, and company size. They oversee annotation teams, coordinate workflows, and ensure quality standards are met, often requiring familiarity with annotation tools and project management skills.

What are some common challenges faced by Data Annotation Managers, and how can they be addressed?

Data Annotation Managers often encounter challenges such as maintaining high annotation quality across large and diverse datasets, managing a distributed team of annotators, and meeting tight project deadlines. To address these, it's important to implement robust quality assurance processes, provide ongoing training for annotators, and establish clear communication channels. Leveraging annotation tools with built-in validation features can also help ensure consistency and accuracy. Building a positive and collaborative team environment further contributes to better outcomes and workflow efficiency.

What does a Data Annotation Manager do?

A Data Annotation Manager oversees the process of labeling and categorizing data used to train machine learning models. They manage teams of annotators, ensure data quality, develop annotation guidelines, and coordinate with data scientists to meet project requirements. Their role is critical in maintaining high standards of accuracy and efficiency, as well as ensuring that datasets are properly prepared for AI and machine learning applications.

Does data annotation actually pay well?

Data annotation managers typically earn competitive salaries that reflect their experience and responsibilities, often ranging from entry-level to senior roles. Compensation can vary based on industry, location, and company size, with specialized skills in tools like labeling platforms and quality control often leading to higher pay.

What are the key skills and qualifications needed to thrive as a Data Annotation Manager, and why are they important?

To thrive as a Data Annotation Manager, you need expertise in data labeling processes, quality control, and a solid understanding of machine learning concepts, usually backed by a degree in computer science or a related field. Proficiency with annotation tools such as Labelbox, Supervisely, or CVAT, as well as experience with project management systems, is commonly required. Exceptional leadership, attention to detail, and strong communication skills help manage teams and ensure high annotation accuracy. These skills are critical for delivering reliable labeled datasets, which are essential for building effective AI and machine learning models.

How hard is it to get hired by data annotation?

Getting hired as a data annotation manager typically requires relevant experience in data labeling, familiarity with annotation tools, and strong organizational skills. The hiring process often involves reviewing previous work, technical assessments, and demonstrating attention to detail, with opportunities available in companies that outsource data labeling tasks.

What is the difference between Data Annotation Manager vs Data Labeling Specialist?

AspectData Annotation ManagerData Labeling Specialist
CredentialsBachelor's degree in related field, experience in data managementHigh school diploma or equivalent, training in labeling tools
Work EnvironmentTeam management, project oversight, collaboration with data scientistsHands-on labeling work, using annotation tools, focused on data tagging
Industry UsageUsed in AI/ML projects for overseeing annotation teamsPerforms the actual data labeling tasks in machine learning workflows

The Data Annotation Manager oversees the entire annotation process, managing teams and ensuring quality, while the Data Labeling Specialist focuses on executing labeling tasks. Both roles are essential in AI/ML data preparation but differ in responsibilities and scope.

What are the most commonly searched types of Data Annotation jobs in California? The most popular types of Data Annotation jobs in California are:
What are popular job titles related to Data Annotation Manager jobs in California? For Data Annotation Manager jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Annotation Manager jobs in California look for? The top searched job categories for Data Annotation Manager jobs in California are:
What cities in California are hiring for Data Annotation Manager jobs? Cities in California with the most Data Annotation Manager job openings:
Data Annotation Manager jobs near you
Infographic showing various Data Annotation Manager job openings in California as of June 2026, with employment types broken down into 3% As Needed, 53% Full Time, 41% Part Time, and 3% Temporary. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $95,873 per year, or $46.1 per hour.
Annotation Operations Lead with Security Clearance

Annotation Operations Lead with Security Clearance

Artech Information Systems

Sunnyvale, CA • On-site

Other

Posted 16 days ago

Job description

Location: Sunnyvale, CA (Onsite) Introduction This full-time contractor role involves regular collaboration with data collection, annotation, and algorithm development partners. The role serves as the primary point of contact for the scoping, bring-up, and management of multi-discipline data annotation projects within the organization. Required Skills & Qualifications * 5 years in operations, project management, or data analysis, with at least 2 years specifically in data annotation operations.

Proven history of success in leading and managing large scale annotations for multimodal data, including image, video, text, audio, sensor data, metadata, etc. Experience with data labeling platforms. * Strong understanding of AI/ML concepts, annotation workflows, and data quality assurance.

Basic knowledge of SQL and/or Python for data querying and scripting. Ability to translate complex technical requirements into clear, easy-to-understand instructions for non-technical staff. * Experience managing complex, cross-functional projects, often with international or remote teams.

Familiarity with budget tracking, cost reporting, or operational financial practices. A Bachelor's degree in engineering related fields. * Prior work experience at client or in client's Industry.

Applicants must be able to work directly for Artech on W2. Preferred Skills & Qualifications Experience with annotation tool and/or AIML model development. Day-to-Day Responsibilities Design, develop and optimize annotation workflow and instructions to ensure high-throughput, scalability, and accurate annotation.

Partner with engineering teams to define and align on annotation tool requirements. Establish and enforce rigorous QA/QC processes for annotation accuracy and consistency. * Develop annotation project timeline and ensure the successful delivery of annotations.

Track, facilitate, and direct priorities for several concurrent annotation efforts. Track key performance metrics such as throughput (labels per hour), quality scores, and spend against targets, and provide regular reports to stakeholders. * Develop and implement annotation working guidelines to ensure compliance with the organization's security, privacy, and financial guidelines.

Monitor financial states of purchase orders and budgets to ensure careful spending for uninterrupted service from the vendor. Drive supply, equipment, and software ordering in coordination with stakeholders. * Find, socialize, and implement program improvements in coordination with stakeholders.

Facilitate project clearances, non-disclosure agreements, and Restricted Project Agreements. Ensure vendor compliance with statements of work and service level agreements. Company Benefits & Culture * Collaborative work environment with cross-functional teams.

Opportunities for professional growth and development. Commitment to diversity and inclusion. For immediate consideration please click APPLY to begin the screening process with Alex.

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About Artech

Sourced by ZipRecruiter

Artech is a leading IT staffing and consulting company based in Morristown, NJ, US. Since its foundation in 1992, Artech has mastered in complementing human expertise with technology and business acumen to produce world-class staffing solutions. The company caters to diverse industry sectors, including financial services, healthcare, telecommunication, energy and utilities, supply chain, and retail. It provides IT consulting, project management, professional and staff augmentation, and managed staffing services. Artech's mission is to provide exceptional IT staffing services to its clients by comprehending their business needs and then crafting a customized staffing strategy. Its notable achievement includes being recognized as one of the largest IT staffing companies in the U.S, according to Staffing Industry Analysts (SIA).

Industry

Recruiting and staffing services

Company size

10,000+ Employees

Headquarters location

Morristown, NJ, US

Year founded

1992

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