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Ai Labeling Jobs (NOW HIRING)

... the AI team on the creation of different datasets. * Perform quality control to ensure high data quality and data integrity. * Improve labeling workflow in close collaboration with the development ...

The Data Labeling Specialist supports the development of advanced AI and robotics systems by carefully annotating images and video streams from humanoid robots. This role focuses on accurately ...

AI Engagement Manager

$150K - $180K/yr

Partner with Product, Delivery, and Engineering to design solutions for Agentic AI, data labeling, evaluation, RLHF, red-teaming, and emerging workflows * Ensure strong requirements gathering ...

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How much do ai labeling jobs pay per hour?

As of Jun 15, 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 a typical day look like for an AI Labeling team member?

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 job?

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.

What is an AI labeling job?

An AI labeling job involves reviewing and annotating data such as images, videos, or text to help train machine learning models. Workers typically use specialized tools to add tags or labels, which are essential for improving AI accuracy and performance. These jobs often require attention to detail and may be performed remotely with flexible schedules.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior data scientists, AI research directors, or machine learning executives, often involving advanced skills, leadership, and significant responsibility. These positions usually require extensive experience, specialized knowledge, and may include stock options or bonuses that contribute to the high total compensation.

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 basic skills in data annotation tools and attention to detail.

What jobs pay 2000 a day?

High-paying jobs related to AI labeling are uncommon, as most roles in this field typically pay hourly or project-based rates. However, specialized freelance AI annotators or consultants with extensive experience and advanced skills can sometimes earn around $2,000 per day through large projects or contracts. Such earnings usually require a combination of expertise, efficiency, and working on high-value assignments or consulting for AI development companies.

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

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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Visual Data Labeling Technician I (Part-Time)

Visual Data Labeling Technician I (Part-Time)

AST SpaceMobile

Midland, TX

$20/hr

Other

Posted yesterday


Job description

Role Summary

AST SpaceMobile is hiring part-time Visual Data Labeling Technician I in Midland, TX to label imagery of spacecraft components, sub-assemblies, and factory-floor assembly steps used to train AST's computer-vision and robotics AI models.

Working on-site in the AI Lab, you will use AST's in-house labeling software to draw bounding boxes, polygons, and segmentation masks; classify components and defects; and follow detailed labeling guidelines defined by AST's data scientists and manufacturing quality engineers. This is a high-precision, security-controlled role: the lab is a no-personal-electronics environment, and your accuracy and consistency directly determine the quality of the AI models AST relies on for visual inspection and robotic operation.

The role is well suited to detail-oriented people who enjoy focused screen work, take pride in careful documentation, and want to contribute to the next generation of space-based connectivity.

Key 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

Required Qualifications

  • 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

Preferred Qualifications

  • 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

Compensation & Benefits

  • Base hourly rate of $20.00/ hour
  • Part-time, on-site role in Midland, TX
  • Opportunity to contribute directly to AI models that support spacecraft manufacturing and operations
  • We are flexible with work hours between 8am and 6pm, Monday through Friday. We are able to work around school schedules, daycare, and appointments. Great part time work!

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands.