2

Part Time Ai Data Labeling Jobs (NOW HIRING)

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

next page

Showing results 1-20

Part Time Ai Data Labeling information

What are the key skills and qualifications needed to thrive as a Part Time AI Data Labeling Specialist, and why are they important?

To thrive as a Part Time AI Data Labeling Specialist, you need attention to detail, basic computer literacy, and often a high school diploma or equivalent. Familiarity with labeling platforms, annotation tools, and sometimes experience with data management systems is typically required. Reliability, time management, and the ability to follow precise instructions are crucial soft skills for this role. These skills ensure high-quality, accurate datasets that support effective machine learning model development.

What is part-time AI data labeling?

Part-time AI data labeling involves annotating or categorizing data such as images, text, audio, or video to train and improve artificial intelligence and machine learning models. As a part-time data labeler, you work flexible hours to tag or classify data according to specific guidelines provided by a company or research team. This role is essential for creating high-quality datasets that help AI systems learn to recognize patterns, objects, or language. The work can often be done remotely and may require attention to detail and basic computer skills. Many companies hire part-time data labelers to handle large volumes of data efficiently.

What is the difference between Part Time Ai Data Labeling vs Part Time Data Annotation Specialist?

AspectPart Time Ai Data LabelingPart Time Data Annotation Specialist
CredentialsBasic computer skills, attention to detailSimilar, often no formal certification required
Work EnvironmentRemote, flexible hoursRemote or onsite, flexible schedule
Industry UsageAI, machine learning, tech companiesData management, research, tech sectors
Job FocusLabeling data for AI trainingAnnotating data for various applications

Part Time Ai Data Labeling and Part Time Data Annotation Specialist roles share similar credentials and work environments, often involving remote work and flexible hours. The main difference lies in the specific focus: AI Data Labeling emphasizes preparing data for machine learning models, while Data Annotation Specialists may work on broader data types for various purposes. Both roles are essential in data-driven industries and often overlap in skills and industry usage.

What are some common challenges faced by part-time AI data labelers, and how can they be effectively managed?

Part-time AI data labelers often encounter challenges such as repetitive tasks, maintaining high accuracy, and adapting to evolving labeling guidelines. To manage these, it's important to take regular breaks to prevent fatigue, stay updated on any changes to annotation protocols, and communicate with supervisors or team members when clarifications are needed. Leveraging available training resources and quality assurance feedback can also help improve performance and make the work more engaging. Collaboration with other labelers through team chats or forums can provide support and insights for handling tricky cases.
More about Part Time Ai Data Labeling jobs
What cities are hiring for Part Time Ai Data Labeling jobs? Cities with the most Part Time Ai Data Labeling job openings:
What are the most commonly searched types of Ai Data Labeling jobs? The most popular types of Ai Data Labeling jobs are:
What states have the most Part Time Ai Data Labeling jobs? States with the most job openings for Part Time Ai Data Labeling jobs include:
Infographic showing various Part Time Ai Data Labeling job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 78% Full Time, 8% Part Time, 1% Temporary, 11% Contract, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.
AI Quality Technician Labeler (Part-Time)

AI Quality Technician Labeler (Part-Time)

AST SpaceMobile

Midland, TX โ€ข On-site

$20/hr

Part-time

Posted 8 days ago


Job description

AST SpaceMobile is building the first and only global cellular broadband network in space to operate directly with standard, unmodified mobile devices based on our extensive IP and patent portfolio and designed for both commercial and government applications. Our engineers and space scientists are on a mission to eliminate the connectivity gaps faced by today's five billion mobile subscribers and finally bring broadband to the billions who remain unconnected.

Role Summary

AST SpaceMobile is hiring part-time AI Quality Technician Labeler 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.

AST SpaceMobile is an Equal Opportunity, at will Employer; employment is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.