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Ai Labeling Jobs (NOW HIRING)

Ability to leverage data analytics, automation, and AI tools to improve labeling efficiency, accuracy, and compliance. For Baccalaureate degrees earned outside of the United States, a degree that ...

Ability to leverage data analytics, automation, and AI tools to improve labeling efficiency, accuracy, and compliance. For Baccalaureate degrees earned outside of the United States, a degree that ...

Description We are seeking a detail-oriented Data Labeling Specialist temporarily (6 months) to ... Familiarity with AI, machine learning, or annotation tools is a plus, but not required. Physical ...

We are seeking a detail-oriented Data Labeling Specialist temporarily (6 months) to support image ... Familiarity with AI, machine learning, or annotation tools is a plus, but not required. Physical ...

We are seeking a detail-oriented Data Labeling Specialist temporarily (6 months) to support image ... Familiarity with AI, machine learning, or annotation tools is a plus, but not required. Physical ...

Data Labeling SpecialistAbout the Role We're looking for a detail-oriented Data Labeling Specialist to help train AI systems used in humanoid robotics. In this role, you'll review images and videos ...

Data Labeling SpecialistAbout the Role We're looking for a detail-oriented Data Labeling Specialist to help train AI systems used in humanoid robotics. In this role, you'll review images and videos ...

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Ai Labeling information

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How much do ai labeling jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for ai labeling in the United States is $13.97, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $15.38 per hour, depending on experience, location, and employer.

What does an AI labeling team member do?

A typical day as an AI Labeling team member involves reviewing large volumes of data—such as images, audio, or text—and accurately tagging or categorizing each piece according to specific guidelines. You’ll often work both independently and in collaboration with a team lead or quality assurance specialist, who reviews and validates your work. Regular communication with teammates and project managers helps clarify any ambiguities and ensures consistency across the project. While the work can be repetitive, it is essential for creating training data that powers AI models, and team members often rotate between different projects for variety and skill development.

What is an AI labeling?

An AI labeling job involves annotating data (such as images, text, audio, or video) to help train machine learning models. This can include tasks like categorizing objects, transcribing speech, or identifying patterns. Accurate labeling is essential for AI systems to learn and improve their performance. The job typically requires attention to detail and an understanding of specific labeling guidelines. It is often performed using specialized software tools provided by AI companies.

How much do AI labelers make?

AI labelers typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the labeling tasks. Many positions are remote and may require familiarity with data annotation tools and attention to detail.

What are the key skills and qualifications needed to thrive in AI labeling?

To thrive in an AI Labeling role, you need strong attention to detail, the ability to follow detailed instructions, and basic computer literacy, often requiring a high school diploma or equivalent. Familiarity with data annotation platforms, workflow management tools, and sometimes image or audio editing software is commonly expected. Strong communication, patience, and the ability to quickly learn new guidelines are valuable soft skills in this position. These skills are essential to ensure high-quality, accurate datasets that directly impact the performance of artificial intelligence systems.

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What cities are hiring for Ai Labeling jobs?

Cities with the most Ai Labeling job openings:

What are the most commonly searched types of Ai Labeling jobs?

The most popular types of Ai Labeling jobs are:

What states have the most Ai Labeling jobs?

States with the most job openings for Ai Labeling jobs include:

Infographic showing various Ai Labeling job openings in the United States as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $29,053 per year, or $14 per hour.

Senior/Staff/Principal Qt C++ Software Engineer

Horizon Surgical Systems, Inc.

Los Angeles, CA • On-site

$135K - $186K/yr

Full-time

Re-posted 7 days ago


Job description

Open Position - Senior/Staff/Principal Qt C++ Software Engineer
Horizon Surgical Systems Inc.
Horizon Surgical Systems Inc. is revolutionizing the world of surgical ophthalmology by developing a novel, AI driven, and imaging-guided surgical robotic system. Horizon Surgical Systems Inc. aims to expand access to care, provide superior capabilities to the human surgeon, and enhance patient outcomes. Microsurgery in general and Ophthalmology are subfields of surgery for which the surgical outcomes can be significantly improved by robotic systems to allow superior dexterity, precision, accuracy, and visualization beyond the human surgeon's own capabilities.
We are seeking highly motivated, and intellectually inquisitive individuals looking to make a positive impact on healthcare via the development of robotic technology. The core values of Horizon Surgical Systems Inc. are:
  • Commitment to Excellence: We aim to deliver superior patient outcomes and surgeon experiences
  • Passion for Creativity and Innovation: We are driven by new ideas and aim to push the boundaries of what's possible
  • Teamwork and Camaraderie: We achieve our best when we collaborate and work together
  • Welcoming of Critical Opinion: We are enriched by constructive criticism and support the best ideas
  • Personal Accountability: We honor our commitments and take responsibility for our actions

Horizon Surgical Systems Inc. offers:
  • An opportunity to build autonomous surgical robotic systems driven by image guidance and AI technology for the future of affordable, high-quality healthcare.
  • The opportunity to work alongside clinicians, engineers, and global leaders in cutting-edge AI, imaging, and robotics technology.
  • Competitive compensation and an excellent company-paid benefits package.

We are seeking a highly motivated fullstack C++ software engineer to contribute to a variety of features in our cutting-edge imaging/robotics systems and advance the AI labeling process. This role requires a deep understanding of the software development life cycle, strong in C++, Python, Java, and JavaScript programming, and records of success in building product-level scalable systems and cross-functional collaboration. Knowledge or industrial experience in Robotic platforms, AI processes, and/or Cloud platforms is preferred.
We are seeking a highly motivated Qt C++ software engineer to contribute to a variety of features in our cutting-edge imaging/robotics systems and advance the AI labeling process. This role requires a deep understanding of the software development life cycle, strong in C++, Python, Java, and JavaScript programming, and records of success in building product-level scalable systems and cross-functional collaboration. Knowledge or industrial experience in Robotic platforms, AI processes, and/or Cloud platforms is preferred.
Required Qualifications
  • Educational Background:
    • Bachelor's, Master's or Ph.D. degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
  • Technical Skills:
    • Programming Languages: Strong modern C++ and at least one of Python, Java, or JavaScript. Experience in web development is a plus.
    • Operating System: Strong background in Linux development environment, including kernel-level knowledge, system-level programming, and networking.
    • Knowledge or experience in Robotics platforms (like ROS 2 or DDS) is a plus.
    • Knowledge or experience in AI labeling process is a plus.
    • Knowledge in Docker, Cloud platforms (AWS or Google Cloud) or Database systems is a plus.
  • Experience:
    • 5+ years of industrial experience in C++ software development.
    • 3+ years of desktop application GUI front-end development. Especially desktop front-end on the Qt framework.
    • Proven records of success in product-level scalable systems.
    • Hands-on experience in troubleshooting or system optimization is a plus.
  • Knowledge:
    • Proficiency in Object-Oriented programming and design patterns.
    • Deep understanding of the software development life cycle (e.g., requirement clarification, design and implementation, testing, and integration).
    • Familiarity with git, CI/CD, unit testing, automation testing.
  • Soft Skills:
    • Strong communication skills to collaborate with multiple teams.
    • Self-motivated; Ability to work in a fast-paced, dynamic work environment.
    • Desire to learn new technologies.
  • Other Requirements:
    • Willingness to work on-site in either Santa Monica, CA or Malibu, CA.
Responsibilities
  • Requirement Clarification
    • Work closely with cross functional teams to understand, clarify, and finalize requirements.
    • Translate requirements into components, features, or technical enhancements.
  • Design and Implementation
    • Design, implement, and maintain components/features using C++ in our Robotics system.
    • Design and implement components/features using Python, Java, or JavaScript for the AI labeling process and other Cloud backend components.
    • Collaborate with team members to optimize the system and the development process.
    • Contribute to code review and improve best practices in programming and documentation.
  • Testing & Reliability
    • Collaborate with QA to enable/improve automated testing.
    • Support QA testing and troubleshoot online issues.

This is an exciting opportunity to join a high-tech startup that is revolutionizing surgical robotics in ophthalmology.