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Labelbox Jobs in California (NOW HIRING)

Satori Digital

Account Executive

San Francisco, CA · On-site

$230K - $300K/yr

Exposure to the AI/data infrastructure space preferred (e.g., Scale AI, Retool, Labelbox, Weights & Biases) * Strong command of outbound prospecting, enterprise deal structuring, and full-cycle sales ...

Bobyard

Technical Product Manager

San Francisco, CA · On-site

$160 - $180/hr

Background at a company like Scale AI, Labelbox, Samsara, Matterport, Cape Analytics, or DroneDeploy * Comfortable in Figma and reading code, even if you don't ship it What we offer * $160K-$180K ...

Dyna Robotics

AI Data Strategist

Redwood City, CA · On-site

$148K - $192K/yr

... Labelbox, Scale, CVAT, Encord, or Voxel51. Company : Dyna Robotics develops advanced robotic manipulation models to automate repetitive and stationary tasks. Founded in 2024, the company is ...

Dyna Robotics

AI Data Strategist

Redwood City, CA · On-site

$148K - $192K/yr

... Labelbox, Scale, CVAT, Encord, or Voxel51. Company : Dyna Robotics develops advanced robotic manipulation models to automate repetitive and stationary tasks. Founded in 2024, the company is ...

Bobyard, Inc

Technical Product Manager

San Francisco, CA · On-site

$160K - $180K/yr

Background at a company like Scale AI, Labelbox, Samsara, Matterport, Cape Analytics, or DroneDeploy * Comfortable in Figma and reading code, even if you don't ship it What we offer * $160K-$180K ...

HumanSignal

Training Specialist

San Francisco, CA · On-site

$60K - $125K/yr

Experience with LMS platforms or annotation tooling (Scale, Labelbox, Prodigy, etc.) * Background in customer success enablement, sales enablement, or technical consulting

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How much do labelbox jobs pay per hour?

As of Aug 17, 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 is a Labelbox?

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 a Labelbox role?

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 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 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?

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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 August 2026, with employment types broken down into 2% Internship, 71% Full Time, 8% Part Time, and 19% Contract. Highlights an 86% Physical, and 14% Remote job distribution, with an average salary of $53,653 per year, or $25.8 per hour.

Account Executive

Satori Digital

San Francisco, CA • On-site

$230K - $300K/yr

Full-time

Re-posted 26 days ago

Job description

Location: Onsite | San Francisco (3-5 days/week)
$115,000 - $150,000 + Equity
Summary
This is a unique opportunity for a top-performing Account Executive to join a fast-growing AI infrastructure startup that's transforming how companies manage multimodal data. You'll own the full sales cycle, working closely with the founding team to close complex, high-value deals with both AI-native startups and Fortune 500 companies. If you're hungry to build, excited by technical buyers, and ready to scale into leadership within 12 months, this role was designed for you.
Key Responsibilities
  • Own the full sales process from outbound/inbound pipeline development through close
  • Partner directly with co-founders and leadership on strategic and high-value deals
  • Navigate complex, consultative sales cycles with mid-market and enterprise customers
  • Build trusted relationships with technical stakeholders (e.g., CTOs, Heads of AI, ML teams)
  • Provide actionable feedback from the field to product, engineering, and customer success
  • Ramp quickly and demonstrate early traction, with potential to lead a pod or territory within your first year

Qualifications
  • 5+ years of experience as an Account Executive or Sales Manager
  • Proven track record of quota attainment and progression at high-growth startups
  • 2-4 years of AE tenure at a single company, showing stability and impact
  • Experience selling technical products to engineering leaders, CTOs, or AI/ML teams
  • Exposure to the AI/data infrastructure space preferred (e.g., Scale AI, Retool, Labelbox, Weights & Biases)
  • Strong command of outbound prospecting, enterprise deal structuring, and full-cycle sales execution
  • Exceptional commercial acumen, communication skills, and drive
  • Preferred: Founding AE or early-stage GTM experience
  • Preferred: Top academic background or evidence of high performance in academics, athletics, or business

Please Do Not Apply If You:
  • Have multiple short roles (<2 years each) with no clear reason for transition
  • Lack startup experience or haven't sold in fast-paced, early-stage environments
  • Haven't sold to technical buyers or mid-market/enterprise customers
  • Require a fully remote setup-this role is onsite in San Francisco 3-5 days/week
  • Have misrepresented credentials or job history

Interview Process
  1. Recruiter Submission → Application Review
  2. Introductory Call (40 min)
  3. Deep Dive with Sales Leadership (40 min)
  4. Take-Home Assignment (40 min)
  5. Onsite Interview (2 hours)

Compensation & Earnings Potential
  • Base Salary: $115K-$150K
  • On-Target Earnings (OTE): $230K-$300K (50/50 base/commission split)
    • Mid-Market AEs: $230K-$240K OTE
    • Enterprise AEs: $270K-$300K OTE

Apply