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Ai Lab Jobs in Texas (NOW HIRING)

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 ...

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 ...

AI Engineer (Entry-Level)

Carrollton, TX ยท On-site

$20 - $23/hr

We are looking for an entry-level AI Engineer to join our internal AI lab and help build, test, and deploy AI-powered agents across business workflows. This role is ideal for someone who learns by ...

AI Engineer (Entry-Level)

Carrollton, TX ยท On-site

$20 - $23/hr

We are looking for an entry-level AI Engineer to join our internal AI lab and help build, test, and deploy AI-powered agents across business workflows. This role is ideal for someone who learns by ...

Director Engineering - AI/ML

Alto, TX ยท On-site

$112.39 - $148.91/hr

... GUIDE-AI lab ([Link to arXiv paper]). * Collaboration * Bridge Research & Practice: Act as the ... primary technical liaison between your engineering team and partners in the Chief Data Science ...

Director, Enterprise Sales (Central)

Austin, TX ยท On-site

$160K - $180K/yr

We are an applied AI lab building end-to-end software agents. We're the makers of Devin, the first AI software engineer. Our team is extremely talent-dense. Among our founding team, we have world ...

We are an applied AI lab building end-to-end software agents. We're the makers of Devin, the first AI software engineer. Our team is extremely talent-dense. Among our founding team, we have world ...

We are an applied AI lab building end-to-end software agents. We're the makers of Devin, the first AI software engineer. Our team is extremely talent-dense. Among our founding team, we have world ...

Senior Lab Technician (R5317)

Dallas, TX ยท On-site

$28 - $42/hr

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... We are seeking a highly skilled Hardware in the Loop Lab Technician to support the fabrication ...

Maintain lab inventory, including systems, DIMMs, CPUs, cables, and equipment tracking. * Perform ... Leverage AI chatbot tools for log analysis, scripting assistance, and documentation. * Document ...

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... Lab Strategy & Infrastructure * Own the overall vision, architecture, and roadmap for engineering ...

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Ai Lab information

What is an AI Lab?

An AI Lab is a specialized research and development center focused on artificial intelligence technologies. These labs typically bring together scientists, engineers, and researchers to work on advancing machine learning, data science, robotics, and related fields. AI Labs can be part of universities, tech companies, or independent organizations, and they often collaborate on cutting-edge projects, publish research, and develop AI-powered solutions for real-world problems. Their work plays a crucial role in shaping how AI is integrated into various industries and society.

What are the key skills and qualifications needed to thrive in an AI Lab, and why are they important?

To thrive in an AI Lab, you need strong expertise in machine learning, statistics, and programming, often supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and cloud computing platforms, as well as experience with data management systems, is typically required. Creative problem-solving, collaboration, and excellent communication skills help distinguish top contributors in this environment. These skills ensure effective research, innovation, and teamwork, driving successful AI development and implementation.

What are some common challenges faced when working in an AI Lab, and how can new team members overcome them?

Working in an AI Lab often involves tackling rapidly evolving technologies and collaborating with experts from diverse backgrounds, such as data scientists, engineers, and domain specialists. New team members may find it challenging to stay updated on cutting-edge research and to bridge communication gaps between different disciplines. To overcome these challenges, it's helpful to regularly attend team meetings, engage in knowledge-sharing sessions, and seek mentorship from experienced colleagues. Emphasizing continuous learning and open communication greatly enhances both individual growth and team success.

What is the difference between Ai Lab vs Data Scientist?

AspectAi LabData Scientist
Required CredentialsTypically a degree in computer science, AI, or related fields; certifications in AI/ML are commonDegree in statistics, computer science, or related fields; certifications in data analysis or machine learning are common
Work EnvironmentResearch labs, tech companies, or R&D departments focusing on AI developmentBusiness environments, analyzing data to inform decisions, often in tech, finance, or healthcare
Employer & Industry UsagePrimarily in tech companies, research institutions, and AI startupsAcross industries like finance, healthcare, marketing, and tech firms

While both roles involve working with data and algorithms, an Ai Lab focuses on developing and researching AI technologies, whereas a Data Scientist analyzes data to generate insights and support decision-making. The roles often overlap but differ mainly in their primary objectives and work environments.

How do I get into an AI lab?

To join an AI lab, candidates typically need a strong background in computer science, machine learning, or related fields, often demonstrated through a relevant degree or research experience. Gaining skills in programming languages like Python, familiarity with AI frameworks such as TensorFlow or PyTorch, and participating in research projects or internships can improve chances. Networking with professionals and publishing work can also help in securing a position in an AI lab.

What is the easiest AI Lab job to get into?

Entry-level roles in AI labs such as data annotation, data labeling, or research assistant positions are generally the easiest to obtain. These jobs often require basic technical skills, familiarity with AI concepts, and sometimes a relevant degree or certification, making them accessible for newcomers to the field.

What job categories do people searching Ai Lab jobs in Texas look for?

The top searched job categories for Ai Lab jobs in Texas are:

What cities in Texas are hiring for Ai Lab jobs?

Cities in Texas with the most Ai Lab job openings:

Infographic showing various Ai Lab job openings in Texas as of August 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AI Lab Manager

AST SpaceMobile

Midland, TX โ€ข On-site

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago


Job description

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.

ย 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 Autonomyย 

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 equivalentย 
  • 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 anย 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 inย 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. ย