AI Quality Technician Labeler (Part-Time)

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.