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Data Annotation Services Jobs in California (NOW HIRING)

Responsibilities Analyzing Data Insights * Analyze large‑scale 2D/3D annotation datasets to ... annotation services and tools. * Define and track annotation quality, productivity, and ...

Hands-on experience with HD mapping/data annotation, particularly in autonomous driving, using ... services to Fortune 100 and Big 4 organizations. Our in-depth technical knowledge and broad ...

Expert Operations

Mountain View, CA · On-site

$80K - $130K/yr

Our offerings include a diverse catalog of off-the-shelf datasets (image, video, multimodal, reasoning, 3D, and beyond) as well as comprehensive data collection and annotation services. Whether teams ...

We own a modern full-stack architecture including TypeScript/React, Python, GraphQL, Golang , and ML model services , which powers data-annotation pipelines and machine-led training data solutions at ...

Technical Program Manager

San Francisco, CA · On-site

$152K - $196K/yr

... services, autonomous driving, or data BPO is a plus. * Problem Solving: Strong learning agility and structured thinking -- able to quickly identify the crux of complex robotics collection/annotation ...

Senior Director, AI

Bodega Bay, CA · On-site +1

$257K - $402K/yr

Secure and allocate funding for specialized datasets and data annotation services. * Evaluate and procure necessary software licenses and tools for AI development and simulation. * Regularly report ...

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Data Annotation Services information

What are data annotation services?

Data annotation services involve labeling or tagging data—such as images, text, audio, or video—to make it understandable for machine learning models. These services are essential in training artificial intelligence systems to recognize patterns, objects, or other relevant information in raw data. Companies use data annotation to improve the accuracy and effectiveness of AI applications, such as self-driving cars, chatbots, and image recognition. Professional annotators or specialized platforms often perform these tasks to ensure high-quality, consistent results.

What are the key skills and qualifications needed to thrive in data annotation services?

To excel in Data Annotation Services, strong attention to detail, data literacy, and a foundational understanding of data labeling processes are essential, often requiring a high school diploma or equivalent. Familiarity with annotation platforms, labeling tools, and sometimes basic knowledge of scripting or data management systems is typically expected. Strong work ethic, consistency, and effective communication skills help individuals stand out in collaborative, deadline-driven environments. These capabilities ensure high-quality, accurate labeled data, which is critical for training reliable machine learning models.

What are some common challenges faced when working in data annotation services, and how can I address them?

In data annotation services, one common challenge is maintaining consistency and accuracy, especially when handling large datasets or ambiguous data points. Clear annotation guidelines and regular communication with team leads help ensure that everyone interprets the data similarly. Additionally, repetitive tasks can lead to fatigue, so it's important to take scheduled breaks and leverage available annotation tools to streamline workflows. Collaborating with peers to discuss edge cases also helps improve overall data quality and fosters a supportive team environment.

What is the difference between Data Annotation Services vs Data Labeling Specialists?

AspectData Annotation ServicesData Labeling Specialists
CredentialsTypically no formal credentials required; focus on trainingOften have training in specific tools or industry standards
Work EnvironmentCollaborative, often remote or in-office teamsSimilar, working in teams or independently on labeling tasks
Industry UsageUsed by AI/ML companies for training datasetsEmployed in similar settings, focusing on labeling data for AI models
Search & Comparison IntentUnderstanding services offered for data preparationLooking for roles or tasks related to data labeling

Data Annotation Services encompass the broader process of preparing and annotating data for AI and machine learning projects, often provided by specialized companies. Data Labeling Specialists are individual professionals or team members who perform the actual labeling tasks within these services. While both are closely related, services refer to the overall offering, whereas specialists are the personnel executing the work.

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

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

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

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

What cities in California are hiring for Data Annotation Services jobs?

Cities in California with the most Data Annotation Services job openings:

Infographic showing various Data Annotation Services job openings in California as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Sr. Software Analyst, Data, Autonomy

Palo Alto, CA • On-site


Rivian
Automobile Dealers • 10K+ employees

7.3

Company rating: 7.3 out of 10

Based on 159 frontline employees who took The Breakroom Quiz

20th of 45 rated automakers

People enjoy working here

Good employer

Recommended by students


$132.10 - $165.10/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

About Rivian

Rivian is on a mission to keep the world adventurous forever. This goes for the emissions‑free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract.

As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.

Role Summary

In this role, you will lead strategic planning and coordination of 3D/2D annotation projects, working closely with both internal and external partners. A key responsibility is rigorous vendor management, ensuring the quality of deliverables, resolving defects, and facilitating feature enhancements. The role also encompasses developing policies, setting precise labeling protocols, executing accurate 3D sensor data annotation, and conducting thorough quality control on all generated datasets. You will partner closely with Annotation Operations, Perception, and Engineering teams to ensure data readiness for model training and evaluation. The ideal candidate is data‑driven, detail‑oriented, and execution‑focused, with a strong understanding of annotation workflows and a passion for improving data quality and efficiency at scale. This role plays a critical part in enabling informed decision‑making, continuous process improvement, and scalable annotation operations across internal teams and external vendors.

Responsibilities Analyzing Data Insights
  • Analyze large‑scale 2D/3D annotation datasets to identify data gaps, quality issues, coverage gaps, and inefficiencies impacting Perception and ML training.
  • Utilize dashboards and reports to monitor annotation throughput, efficiency, and cost; quality metrics (QA pass rates, error types, rework); vendor and annotator performance trends.
  • Interpret complex annotation and perception data into clear, actionable insights for engineering, annotation operations, and leadership.
  • Partner with Perception teams to align data readiness metrics with model training and evaluation needs.
  • Effectively communicate data findings to business partners, bridging the gap between technical data and strategic organizational goals.
Annotation Operations & Quality
  • Assess the level of effort for annotation projects and support end‑to‑end execution, including in‑house vs. vendor decisions.
  • Collaborate with stakeholders to gather labeling requirements and define, maintain, and evolve labeling policies.
  • Manage relationships with various vendors, including contract and quote review, for third‑party annotation services and tools.
  • Define and track annotation quality, productivity, and certification metrics; continuously refine benchmarks.
  • Conduct QA/QC analysis on annotated data, identify systemic issues, and provide structured feedback to annotators and vendors.
  • Implement and measure labeling efficiency improvements, using data to validate impact.
Process Improvement & Automation
  • Prepare technical reports and collaborate with cross‑functional engineering teams to ensure consistent process implementation, with the ability to automate basic processes.
  • Identify opportunities to make data delivery and annotation workflows faster, more accurate, and scalable.
  • Identify and propose enhancements to address deficiencies in existing tooling, improving the efficiency and accuracy of annotation workflows.
Cross‑Functional & Vendor Collaboration
  • Work closely with Annotation Ops, Perception, and Engineering teams to ensure consistent process implementation.
  • Support vendor management by analyzing performance, cost, and quality metrics across multiple annotation partners.
  • Prepare technical and operational reports to support planning, execution, and decision‑making.
  • Coordinate across teams and time zones to ensure alignment and timely delivery.
Qualifications Required
  • BS degree in a technical or related field with 2+ years of relevant experience (or 5+ years equivalent industry experience).
  • 2+ years supporting data annotation, ML data, or labeling‑related projects.
  • Strong understanding of 2D/3D data annotation workflows for ML and Perception use cases.
  • Experience with error taxonomy development and quality assurance (QA) frameworks for data annotation.
  • Working knowledge of databases and/or data visualization tools.
  • Experience analyzing LiDAR point clouds, video, and image annotation data.
  • Ability to manage multiple projects, prioritize effectively, and deliver under tight timelines.
  • Strong written and verbal communication skills, with the ability to explain project insights to non‑technical stakeholders.
  • Experience mentoring or guiding junior team members or offshore teams.
Nice to Have
  • Experience building or improving operational analytics for efficiency, cost, or quality.
  • Comfort working in a fast‑paced, cross‑functional, and collaborative environment.
  • Hands‑on experience with data analysis, metrics tracking, and dashboarding.
Pay Disclosure

The salary range for this role is $132,100.00 - $165,100.00 for San Francisco Bay Area based applicants. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, geographic location, shift, and organizational needs.

Benefits

We offer a comprehensive package of benefits for full‑time and part‑time employees, their spouse or domestic partner, and children up to age 26, including but not limited to paid vacation, paid sick leave, and a competitive portfolio of insurance benefits including life, medical, dental, vision, short‑term disability insurance, and long‑term disability insurance to eligible employees. You may also have the opportunity to participate in Rivian’s 401(k) Plan and Employee Stock Purchase Program if you meet certain eligibility requirements. Full‑time employee coverage is effective on their first day of employment. Part‑time employee coverage is effective the first of the month following 90 days of employment. More information about benefits is available at rivianbenefits.com.

Equal Opportunity

Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition or any other characteristic protected by law.

Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com.

Candidate Data Privacy

Rivian may collect, use and disclose your personal information or personal data when you apply for employment and/or participate in our recruitment processes. This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of tracking interactions with our recruiting system; carrying out, analyzing and improving our application, recruitment process; establishing an employment relationship; complying with legal, regulatory and corporate governance obligations; recordkeeping; ensuring network and information security and preventing fraud; and other required or permitted uses under applicable law.

Rivian may share your Candidate Personal Data with internal personnel, Rivian affiliates and service providers such as background checks and staffing services. Rivian may transfer or store internationally your Candidate Personal Data in the United States, Canada, the United Kingdom, the European Union and in the cloud.

Please note that we are currently not accepting applications from third party application services.

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Rivian logo

About Rivian

Sourced by ZipRecruiter

Rivian is a pioneering automotive industry player headquartered in Irvine, California. Established in 2009, the company has made notable advancements in developing sustainable transportation solutions. It is widely recognized for its electric adventure vehicles: the R1T pickup and the R1S SUV. Rivian is dedicated to creating a positive shift in societal mobility and emphasizes sustainability, innovation, and adventure as part of its core values. Their mission is to keep the world adventurous forever - a testament to their commitment in transitioning the world to sustainable transportation. Rivian's achievements are numerous, with one of the most notable being securing a significant multi-billion dollar investment from Amazon for the production of electric delivery vans.

Industry

Automobile dealers

Company size

10,000+ Employees

Headquarters location

Irvine, CA, US

Year founded

2009


What Rivian employees say

Pay

Benefits

Hours and flexibility

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