ZipRecruiter

Log In

1

Labelbox Jobs in California (NOW HIRING)

Labelbox

Cyber Security Intern

San Francisco, CA · On-site

About Labelbox We're the only company offering three integrated solutions for frontier AI development: * Enterprise Platform & Tools : Advanced annotation tools, workflow automation, and quality ...

Labelbox

Cyber Security Intern

San Francisco, CA

Role Overview As a Security Engineering Intern at Labelbox, you will work closely with our security team to strengthen and scale our enterprise security program. You will receive direct mentorship ...

Labelbox

Managing Partner

San Francisco, CA · On-site

Expand wallet share by uncovering new project streams, embedding Labelbox as a strategic partner across evaluation, red teaming, SFT, RLHF, and benchmark initiatives. * Elevate Go-to-Market Strategy

Labelbox

Strategic Project Lead

San Francisco, CA · On-site

About Labelbox We're the only company offering three integrated solutions for frontier AI development: * Enterprise Platform & Tools : Advanced annotation tools, workflow automation, and quality ...

Labelbox

Deployment Lead

San Francisco, CA · On-site

About Labelbox We're the only company offering three integrated solutions for frontier AI development: * Enterprise Platform & Tools : Advanced annotation tools, workflow automation, and quality ...

Jobs for Humanity

Speakers/Writers

Moreno Valley, CA · On-site

$15 - $60/hr

Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to ...

Jobs for Humanity

Speakers/Writers

Thousand Oaks, CA

$15 - $60/hr

Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to ...

Jobs for Humanity

Speakers/Writers

Fremont, CA

$15 - $60/hr

Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to ...

next page

Showing results 1-20

All JobsLabelbox JobsLabelbox Jobs in California

Labelbox information

See California salary details

$8

$25

$60

How much do labelbox jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for labelbox in California is $25.79, according to ZipRecruiter salary data. Most workers in this role earn between $14.83 and $30.13 per hour, depending on experience, location, and employer.

What are some common challenges faced when working in a data labeling role using Labelbox?

One of the main challenges in a data labeling role using Labelbox is maintaining consistency and accuracy across large datasets, especially when dealing with complex or ambiguous data. Adhering to specific labeling guidelines and quality standards can require ongoing focus and attention to detail, and occasionally you may need to collaborate with data scientists or machine learning engineers to clarify requirements. Staying organized while meeting tight project deadlines is also common, particularly when supporting fast-paced AI development cycles. However, these challenges present valuable opportunities to build technical expertise, contribute significantly to impactful AI projects, and advance your career in the rapidly growing field of machine learning operations.

What is a Labelbox job?

A Labelbox job is a task or project within the Labelbox platform that involves annotating, labeling, or reviewing data for machine learning models. Companies use Labelbox to manage large-scale data labeling efforts for images, videos, text, and more. Jobs can be assigned to annotators who apply labels according to predefined guidelines. These labels help train AI models by providing high-quality training data.

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

To thrive in a Labelbox role, such as a Data Annotation Specialist or Machine Learning Data Operations, you need a keen attention to detail, basic data management skills, and a foundational understanding of labeling processes for AI datasets. Familiarity with cloud-based annotation platforms like Labelbox, as well as experience with tools such as Excel or basic image and text editing software, is highly valuable. Strong communication, adaptability, and time management skills are important for effectively handling labeling tasks within cross-functional teams. These capabilities are essential for ensuring high-quality, accurate data labeling that supports effective machine learning model development.

What does the company Labelbox do?

Labelbox is a data platform that provides tools for data labeling and annotation, primarily used to prepare datasets for machine learning models. The company offers a collaborative environment with features like quality control and integration with AI workflows to streamline data labeling processes.

How much does Labelbox pay?

Salaries for roles at Labelbox vary depending on the position, experience, and location. Entry-level positions typically start around $60,000 per year, while more experienced roles can pay over $120,000 annually. Compensation may also include benefits such as stock options and health insurance.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, machine learning executive, or senior data scientist, often requiring advanced skills, extensive experience, and sometimes equity or performance bonuses. These roles are usually found in large tech companies or startups with significant AI investments and may involve leadership, strategic planning, and specialized technical expertise.

Who is the owner of Labelbox?

Labelbox is a data-labeling platform founded by Manu Sharma and Brian Rieger. The company is privately owned and has received funding from investors such as Andreessen Horowitz and Tiger Global Management.
What are the most commonly searched types of Labelbox jobs in California? The most popular types of Labelbox jobs in California are:
What are popular job titles related to Labelbox jobs in California? For Labelbox jobs in California, the most frequently searched job titles are:
What job categories do people searching Labelbox jobs in California look for? The top searched job categories for Labelbox jobs in California are:
What cities in California are hiring for Labelbox jobs? Cities in California with the most Labelbox job openings:
Labelbox jobs near you
Infographic showing various Labelbox job openings in California as of July 2026, with employment types broken down into 86% Full Time, 8% Part Time, and 6% Contract. Highlights an 79% Physical, and 21% Remote job distribution, with an average salary of $53,653 per year, or $25.8 per hour.
Associate Forward Deployed Engineer, Enterprise Accounts

Associate Forward Deployed Engineer, Enterprise Accounts

Labelbox

San Francisco, CA • On-site

Other

Posted 26 days ago

Job description

About the Role

As a forward deployed engineer, you are in the unique position of helping Labelbox's customers build and operationalize transformational AI technology. As part of the enterprise team, we are not just helping someone use our application and services, we are collaborating with business and technical teams as they build pioneering technology, often the first of its kind for their industry. You will use a unique mix of engineering, product, and sales skills to deliver data on high stakes projects for leading enterprise customers. As the technical expert post-sale, you'll guide customers through implementation and on-going management of their Labelbox pipelines, provide best practices for achieving their ML goals, and identify solutions to any technical obstacles they encounter along the way.  

Your day to day
  • Develop a trusted advisor relationship with customer stakeholders and executive sponsors to drive the value of Labelbox
  • Help organizations build cutting-edge AI applications by staying current with the emerging state of the ML dev lifecycle where training data is the source code
  • Guide customers through architecture designs identifying solutions for various environments including SaaS integration, API, SSO, and security 
  • Continuously learn and improve skills in software, computer vision, and ML 
  • Provide mentorship and guidance through demonstrable knowledge of Labelbox's products, solutions and methodologies
  • Partner with Account Executives to identify growth opportunities and accurately forecast renewals
  • Manage onboarding, implementation, for Labelbox's highly technical customers
  • Partner closely with other cross-functional team members to translate business needs and product requirements into new solutions for customers
  • Be an internal advocate for customer needs and feature requests across product, internal support, engineering and Sales
  • Help drive customer references and case studies
About you
  • Master's degree or higher in Computer Science, Engineering, Mathematics, or AI-related fields.
  • 2+ years of professional experience in a related field.
  • Proficiency in Python and data analysis.
  • Prior experience leading LLM projects.
  • Exceptional communication skills: ability to convey complex technical concepts clearly.
  • Strong project management and organizational skills.
  • Passion for AI and the intersection of technology, product, and customer needs.

Apply