AI Lab Manager
Indexed 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.
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
- 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
- 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
- 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.
- Medical, dental, vision
- 401(k) (pre-tax & Roth)
- Life insurance, disability coverage
- HSA, transportation benefits
- Employee Assistance Program
- PTO / sick leave
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