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Part Time Computer Vision Engineer Jobs in Texas

AST SpaceMobile

AI Lab Manager

Midland, TX · On-site

Our engineers and space scientists are on a mission to eliminate the connectivity gaps faced by ... Hire, onboard, schedule, and supervise a part-time computer-vision image-labeling workforce ...

AST SpaceMobile

AI Lab Manager

Midland, TX

... engineers to capture, log, and curate the imagery that trains spacecraft inspection and robotic ... Hire, onboard, schedule, and supervise a part-time computer-vision image-labeling workforce ...

Micron Technology

CAD Engineer

Richardson, TX · On-site

Our vision is to transform how the world uses information to enrich life for all. Micron Technology ... May telecommute part-time. Employer will accept Bachelor's degree in Electrical Engineering or a ...

US Department of the Air Force

$76K/yr

... programming software or other appropriate software to perform routine design and analysis ... PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work.

U.S. Department of Defense (DOD)

$76K/yr

... programming software or other appropriate software to perform routine design and analysis ... PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work.

U.S. Department of Defense (DOD)

$76K/yr

... programming software or other appropriate software to perform routine design and analysis ... PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work.

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All JobsComputer Vision Engineer JobsPart Time Computer Vision Engineer JobsPart Time Computer Vision Engineer Jobs in Texas

Part Time Computer Vision Engineer information

What is the difference between Part Time Computer Vision Engineer vs Part Time Machine Learning Engineer?

AspectPart Time Computer Vision EngineerPart Time Machine Learning Engineer
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; experience with OpenCV, deep learning frameworksBachelor's or Master's in Computer Science, Data Science, or related fields; experience with ML frameworks like TensorFlow, PyTorch
Work EnvironmentResearch labs, tech companies, startups focusing on image/video analysisTech companies, startups, research institutions working on predictive models and data analysis
Employer & Industry UsageUsed in industries like automotive, healthcare, security for visual data processingApplied across finance, healthcare, e-commerce for data-driven decision making

While both roles involve machine learning skills, a Part Time Computer Vision Engineer specializes in visual data analysis and image processing, whereas a Part Time Machine Learning Engineer focuses on developing algorithms across various data types. The choice depends on your expertise in visual technologies versus broader machine learning applications.

What are the key skills and qualifications needed to thrive as a part time computer vision engineer?

To thrive as a Part Time Computer Vision Engineer, you need a strong background in computer science, mathematics, and experience with image processing and machine learning, often supported by a relevant degree. Familiarity with programming languages such as Python or C++, deep learning frameworks like TensorFlow or PyTorch, and version control systems is typically required. Strong problem-solving abilities, collaboration, and effective time management are crucial soft skills for balancing part-time responsibilities and project goals. These skills and qualities are important to deliver innovative, high-quality solutions efficiently in a dynamic and technically demanding field.

What is a part time computer vision engineer?

Part-time computer vision engineers are professionals who specialize in designing and implementing computer vision algorithms and systems, but work fewer hours than a full-time schedule, often on a contract or project basis. Their responsibilities typically include developing models for image and video analysis, object detection, and related tasks using machine learning and deep learning techniques. These engineers often collaborate with teams to integrate vision systems into products, troubleshoot issues, and optimize performance. Working part-time allows flexibility, making this role suitable for students, freelancers, or those seeking work-life balance.

What are some common challenges faced by part time computer vision engineers, and how can they be addressed?

Part-time computer vision engineers often face challenges such as balancing project deadlines with limited working hours and staying updated with rapidly evolving technologies. Effective communication with full-time team members is essential to ensure alignment on project goals and deliverables. Utilizing collaborative tools, maintaining clear documentation, and attending regular meetings can help bridge gaps in communication and workflow. Additionally, setting realistic timelines and prioritizing tasks can enable part-time engineers to maximize their impact and stay productive within their schedule.
What are the most commonly searched types of Computer Vision Engineer jobs in Texas? The most popular types of Computer Vision Engineer jobs in Texas are:
What are popular job titles related to Part Time Computer Vision Engineer jobs in Texas? For Part Time Computer Vision Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Part Time Computer Vision Engineer jobs in Texas look for? The top searched job categories for Part Time Computer Vision Engineer jobs in Texas are:
What cities in Texas are hiring for Part Time Computer Vision Engineer jobs? Cities in Texas with the most Part Time Computer Vision Engineer job openings:
Part Time Computer Vision Engineer jobs near you
Infographic showing various Part Time Computer Vision Engineer job openings in Texas as of August 2026, with employment types broken down into 100% Part Time. Highlights an 96% In-person, and 4% Remote job distribution.

AI Lab Manager

AST SpaceMobile

Midland, TX • On-site

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-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.
Position Overview:
AST SpaceMobile is seeking an AI Data Operations Manager based in Midland, TX to operate, secure, and run the day-to-day operations of the on-site AI Lab supporting the AI & Autonomy division. You will be the single point of accountability for the lab's physical security, IT and server infrastructure, and the part-time image-labeling workforce that produces the labeled datasets feeding our computer-vision and robotics models. You will enforce strict lab access and information-security rules - no personal phones, photography, personal electronics, or removable storage media inside the lab - and ensure all workstations, GPU servers, storage, and network equipment are properly maintained, patched, and locked down.
You will hire, train, schedule, and supervise a part-time labeling workforce on AST's in-house labeling software, partnering daily with quality inspectors and manufacturing engineers to capture, log, and curate the imagery that trains spacecraft inspection and robotic computer-vision models. This is a hands-on role for a computer-literate, security-conscious operator who is comfortable owning both people and infrastructure.
What You'll Be Doing:
  • Manage the day-to-day operation of the on-site AI Lab in Midland, including opening, securing, and closing the facility and ensuring the lab is locked at all non-operating hours
  • Enforce lab access and information-security rules - no personal cell phones, cameras, photography, personal electronics, or removable storage media (USB sticks, SD cards, external drives) inside the lab - and maintain visitor logs and badge access controls
  • Hire, onboard, schedule, and supervise a part-time computer-vision image-labeling workforce, ensuring consistent shift coverage and adequate throughput on labeling queues
  • Train labelers on AST's in-house image-labeling software, including labeling conventions, ontology updates, quality standards, escalation paths, and productivity expectations
  • Monitor labeling output for accuracy and consistency, run calibration and inter-rater agreement checks, and provide ongoing coaching and corrective feedback to the labeling team
  • Partner daily with manufacturing quality inspectors and engineers to plan, capture, log, and ingest images and short-form video of spacecraft components and assembly steps used to train computer-vision and robotics models
  • Maintain the lab's image- and video-capture workflow: managing camera rigs, lighting, fixtures, capture protocols, file naming, metadata, and chain-of-custody from the factory floor into lab storage
  • Manage and maintain lab compute resources including workstations, GPU servers, storage arrays, networking equipment, and backup systems; coordinate with Corporate IT on patching, imaging, account provisioning, and ticket resolution
  • Track and audit lab assets, software licenses, peripherals, and consumables; maintain accurate inventory and asset-tag records
  • Own lab safety, ESD, and housekeeping standards, ensuring the workspace meets manufacturing-floor cleanliness and electrical-safety expectations
  • Maintain operational runbooks, standard operating procedures, training materials, and security policies for the lab; lead periodic security reviews and access audits
  • Report on lab utilization, labeling throughput, dataset growth, security incidents, and infrastructure health to the Chief of AI and Autonomy

What You Bring:
  • 3+ years of experience managing a lab, secure operations area, IT/data center, or other controlled-access environment
  • Demonstrated security-conscious mindset with experience enforcing access-control, information-security, or export-controlled workspace rules
  • Strong computer literacy: comfortable administering Windows and/or Linux workstations, identity tooling (Active Directory or equivalent), basic networking, and standard productivity tools
  • Experience supervising and training an hourly or part-time workforce, including scheduling, performance feedback, and quality oversight
  • Comfort partnering with engineers and shop-floor technicians in a manufacturing or hardware environment
  • Strong written and verbal communication and meticulous documentation habits
  • Ability to be physically on-site in Midland, TX and to occasionally support extended or off-shift hours during high-throughput campaigns
  • High school diploma or equivalent
  • Must be legally authorized to work in the United States

Preferred:
  • Prior experience supporting computer vision, machine learning, or data-labeling operations
  • Familiarity with image-labeling tooling (e.g., CVAT, Labelbox, Scale, or in-house equivalents) and labeling QA practices
  • Experience administering GPU workstations or servers (NVIDIA driver / CUDA toolchains)
  • Background in aerospace, defense, or other ITAR / export-controlled environments
  • Experience with badge access systems, video surveillance, and facility access auditing
  • Familiarity with manufacturing quality processes, Automated Optical Inspection (AOI), or visual inspection workflows
  • Coursework or certifications in IT, cybersecurity, networking, or facility security
  • Associate or bachelor's degree preferred

Physical Requirements & Work Environment:
  • Ability to stand and walk for extended periods of time.
  • Ability to use hands and fingers to perform repetitive and precision tasks.
  • Ability to climb, balance, bend, stoop, kneel, and reach as required to perform job duties.
  • Ability to communicate effectively, including talking and hearing.
  • Ability to work in, on, around, and in proximity to large structures, equipment, and tooling.
  • Ability to lift, push, and/or carry items up to 15 pounds as required.
  • Ability to work near moving mechanical parts and equipment.
  • Ability to work in and around tight or confined spaces.
  • Ability to work in environments that may include exposure to fumes, airborne particles, and/or hazardous materials (e.g., carbon fiber).
  • Ability to work in an office setting with periodic exposure to operational, manufacturing, warehouse, or production areas.
  • Ability to work in environments that may include moderate noise levels when entering operational or manufacturing spaces.
  • Ability to work in multiple departments, buildings, or operational areas during the workday.
  • Ability to work in extended computer usage and prolonged periods at a workstation.

Benefits: (Eligibility dependent)
  • Medical, dental, vision
  • 401(k) (pre-tax & Roth)
  • Life insurance, disability coverage
  • HSA, transportation benefits
  • Employee Assistance Program
  • PTO / sick leave

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.

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