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Labelbox Jobs (NOW HIRING)

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 ...

Grid Dynamics Holdings

Technical Project Manager

  • Medical

  • Dental

  • Vision

Evaluate and manage data labeling tools and platforms (e.g., Labelbox, Scale AI, CVAT, or custom internal interfaces) to maximize annotator efficiency. Qualifications * Experience: 4+ years of ...

Outpost

Machine Learning Data Engineer

Seattle, WA · Remote

$130K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience with dataset annotation/labeling tools and workflows (Roboflow, Labelbox, CVAT, or similar). * Strong communication skills. Preferred Qualifications: * Experience with continuous learning ...

Outpost

Machine Learning Data Engineer

Seattle, WA · On-site

$130 - $160/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience with dataset annotation/labeling tools and workflows (Roboflow, Labelbox, CVAT, or similar). * Strong communication skills. Preferred Qualifications: * Experience with continuous learning ...

Expert Technology Services

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

Working knowledge of standard labeling platforms (CVAT, Labelbox, Scale AI, Supervisely, V7, Encord, etc.). Ability to break down complex heavy-machinery interactions into structured sequence flows:

Coalition, Inc.

WV · On-site

$200K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Scale AI, Labelbox, Prodigy, or similar acceptable) * Track record managing outsourced labeling vendors or BPOs for ML data production * Familiarity with common ML labeling tasks: text classification ...

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Labelbox information

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How much do labelbox jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for labelbox in the United States is $26.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $30.77 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.

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Labelbox jobs near you
Infographic showing various Labelbox job openings in the United States as of August 2026, with employment types broken down into 2% Internship, 68% Full Time, 6% Part Time, and 24% Contract. Highlights an 86% Physical, and 14% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.

AI Quality Technician Labeler (Part-Time)

AST SpaceMobile

Odessa, TX • On-site

$18.25 - $24.50/hr

Full-time

Re-posted 8 days ago

Job description

Job Summary:
AST SpaceMobile is building the first and only global cellular broadband network in space. They are seeking a part-time AI Quality Technician Labeler to label imagery of spacecraft components and assembly steps to train AI models, ensuring high accuracy and consistency in their labeling tasks.
Responsibilities:
• Label images and short video clips of spacecraft components, sub-assemblies, and assembly steps using AST’s in-house computer-vision labeling software
• Apply bounding boxes, polygons, segmentation masks, keypoints, and classification tags according to AST’s labeling guidelines and ontology
• Maintain a high level of accuracy and consistency across labeling tasks, meeting throughput and quality targets set by the AI Lab Manager
• Flag ambiguous, defective, or unusual images for review by quality inspectors, engineers, or data scientists
• Participate in calibration sessions, inter-rater agreement reviews, and ontology refinement discussions
• Follow all AI Lab security and operations rules, including no personal cell phones, cameras, personal electronics, or removable storage media in the lab
• Maintain accurate logs of completed work batches, time on task, and any issues encountered
• Partner with the AI Lab Manager and quality inspectors during on-floor image-capture sessions when required
Qualifications:
Required:
• High school diploma or equivalent
• Strong attention to detail and ability to maintain accuracy on repetitive visual tasks for sustained periods
• Basic computer literacy: comfortable using a mouse, keyboard, and web-based or desktop labeling tools
• Ability to follow written instructions, ontologies, and quality guidelines closely
• Ability to be physically on-site in Midland, TX for the agreed part-time schedule
• Willingness to comply with strict no-personal-electronics, no-photography, and no-removable-media lab rules
• Must be legally authorized to work in the United States
Preferred:
• Prior experience with image annotation, data labeling, or QA work
• Familiarity with labeling tools such as CVAT, Labelbox, Scale, or similar platforms
• Background in manufacturing quality, optical inspection, photography, or technical documentation
• Interest in AI, computer vision, robotics, or aerospace
• Coursework or certificate in computer technology, drafting, electronics, or related field
Company:
AST SpaceMobile is a space-based broadband cellular network company for unmodified mobile devices. Founded in 2017, the company is headquartered in Midland, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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