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Labeling Jobs in California (NOW HIRING)

Healthy Kitchen LLC

Label Machine Operator

Cypress, CA · On-site

$16.50/hr

Thriv Drink Project is a fast-growing cold press juice and co-packing beverage manufacturer with our own labeling division. We have been in operation for a few years and growth has increased year ...

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Labeling information

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How much do labeling jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for labeling in California is $13.78, according to ZipRecruiter salary data. Most workers in this role earn between $12.36 and $15.19 per hour, depending on experience, location, and employer.

What is a labelling job?

A labeling job involves reviewing and applying labels or tags to products, images, or data to ensure proper categorization and organization. It often requires attention to detail and familiarity with tools like spreadsheets or labeling software, and may be performed in a warehouse, office, or remote setting.

What is the difference between Labeling vs Packaging Worker?

AspectLabelingPackaging Worker
Primary RoleApplying labels to products or packagingAssembling, packing, and preparing products for shipment
Skills & CertificationsAttention to detail, basic labeling equipment knowledgePhysical stamina, ability to operate packing machinery
Work EnvironmentManufacturing or warehouse settingsWarehouse, distribution centers, manufacturing plants
Industry UsageCommon in food, pharmaceuticals, consumer goodsCommon in logistics, retail, manufacturing

Labeling involves applying labels to products or packaging, focusing on accuracy and detail. Packaging workers handle the assembly and packing of products for shipment, requiring physical stamina and operational skills. While both roles are essential in manufacturing and warehouse environments, labeling emphasizes precision in labeling tasks, whereas packaging focuses on product assembly and readiness for distribution.

How to become a labeling specialist?

To become a labeling specialist, you typically need a high school diploma or equivalent and attention to detail. Experience with quality control, familiarity with labeling tools or software, and the ability to follow precise instructions are important. Some roles may require basic computer skills and the ability to work in a fast-paced environment.

What are some common challenges faced by professionals in labeling roles, and how can they be addressed?

Professionals in labeling roles often encounter challenges such as maintaining high levels of accuracy and consistency when reviewing large volumes of data. Time management can also be demanding, as deadlines may be tight and tasks repetitive. To address these challenges, it's helpful to develop strong attention to detail, utilize quality assurance tools, and communicate proactively with team members to resolve uncertainties. Many teams also implement regular feedback sessions and clear guidelines to ensure consistency across projects.

What are the key skills and qualifications needed to thrive as a Labeling Specialist, and why are they important?

To thrive as a Labeling Specialist, you need strong attention to detail, knowledge of regulatory requirements, and experience with documentation management, often supported by a background in life sciences or a related field. Familiarity with labeling software, regulatory databases, and industry standards such as FDA or EMA guidelines is typically required. Excellent organizational skills, clear communication, and the ability to collaborate across departments help set top performers apart. These skills are essential to ensure labeling accuracy, regulatory compliance, and timely product approvals in highly regulated industries.

What jobs pay 500,000 a year in the US?

In the field of labeling, high-paying roles such as senior packaging engineers or operations managers in large manufacturing companies can reach or exceed $500,000 annually, especially with bonuses and stock options. Typically, these positions require extensive experience, specialized skills, and leadership responsibilities. Most labeling jobs at this level are part of executive or senior management roles in related industries.

What skills are needed for labeling jobs?

Labeling jobs require attention to detail, good visual perception, and the ability to follow specific instructions accurately. Basic computer skills and familiarity with data annotation tools are often necessary, and patience is important for repetitive tasks. Strong communication skills can also be beneficial for understanding project requirements.

What are labeling jobs?

Labeling jobs involve identifying, tagging, or categorizing data, such as images, text, audio, or video, to help train machine learning models. These roles are crucial in preparing high-quality datasets for artificial intelligence systems, ensuring that the data is accurately annotated and easy for algorithms to understand. Labelers may work with specialized software to mark up objects, transcribe information, or classify content according to specific guidelines. This work is often done remotely and can range from simple tasks to more complex annotation requiring domain expertise.
What are the most commonly searched types of Labeling jobs in California? The most popular types of Labeling jobs in California are:
What are popular job titles related to Labeling jobs in California? For Labeling jobs in California, the most frequently searched job titles are:
What job categories do people searching Labeling jobs in California look for? The top searched job categories for Labeling jobs in California are:
What cities in California are hiring for Labeling jobs? Cities in California with the most Labeling job openings:
Labeling jobs near you
Technical Lead, Behavior & Triage Labeling

Technical Lead, Behavior & Triage Labeling

Nuro

Mountain View, CA • On-site

$235K - $352K/yr

Other

Posted 28 days ago

Job description

Who We Are 

Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that's why we're building a universal autonomy platform: self-driving for all roads and all rides.
Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles.
With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected.
Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors

About the Role

Nuro takes a machine-learning-first approach to autonomous driving technology. In an ML-first system, the overall system performance depends heavily on the quantity and diversity of its training and evaluation data. 

The team plays a crucial role in the advancement of autonomous driving systems by ensuring teams have access to high-quality labeled data. This is facilitated by a comprehensive labeling stack featuring a workflow execution framework, supporting infrastructure, and a suite of data annotation tools. Nuro's autonomy stack utilizes an industry-leading sensor suite. Our tools must handle the efficient processing and annotation of millions of points of sensor data. Our labeling infrastructure supports millions of scenes weekly. 

The platform team's mission is to make labeled data accessible for all of our users. The system must be reliable and scalable. This includes everything from request submission to progress tracking, to data dumping and model development. The team closely collaborates with autonomy engineers to ensure our labeled data is high-quality and comprehensive. As Nuro prepares to expand and roll out our service, it will be more important than ever to ensure all issues are captured and quickly triaged.

About the Work

  • Build highly available, fault-tolerant systems for data annotation
  • Productionize core infrastructure for our state-of-the-art autonomy system
  • Elevate label quality by implementing data-driven metrics and monitoring
  • Apply cutting-edge ML research to automate and optimize the data labeling lifecycle

About You

  • You have a B.Sc. or M.Sc. degree and 5+ years of relevant industry experience
  • You have experience in designing, building, and operating highly scalable and reliable distributed data systems.
  • You have experience leading cross-team projects and have excellent communication skills
  • You are experienced in defining technical visions, creating roadmaps, and setting timelines and prioritization for a team or project.
  • You have strong problem-solving and programming skills in Python, C++ or Go

Bonus Points

  • Experience building reliable large scale distributed systems 
  • Experience with observability, monitoring and incident management
  • Experience applying ML research in real world applications
  • Experience leading teams, designing and executing team roadmaps

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $235,030 and $352,290 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.

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