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Remote Accelerate Learning Jobs in Houston, TX (NOW HIRING)

Lead Machine Learning Engineer

Houston, TX ยท On-site +1

$97K - $128K/yr

We enable companies to accelerate innovation and reduce costs in developing sustainable ... Remote-first with co-working access at Industrious offices * 401(k) with employer match * Equity ...

Lead Machine Learning Engineer

Houston, TX ยท Remote

$104K - $138K/yr

We enable companies to accelerate innovation and reduce costs in developing sustainable ... Remote-first with co-working access at Industrious offices * 401(k) with employer match * Equity ...

Lead Machine Learning Engineer

Houston, TX ยท On-site +1

$97K - $128K/yr

We enable companies to accelerate innovation and reduce costs in developing sustainable ... Remote-first with co-working access at Industrious offices * 401(k) with employer match * Equity ...

Enterprise Account Director- Dallas, TX or Austin, TX Remote [within the US] ABOUT THE ROLE: We are ... Deep understanding of AI security concepts, including machine learning, threat detection, anomaly ...

Account Director

Houston, TX ยท Remote

$300K - $320K/yr

NobleAI is a Science-Based AI platform that predicts complex systems, helping companies accelerate ... By combining physics and chemistry expertise with advanced machine learning, our platform improves ...

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Showing results 1-20

Remote Accelerate Learning information

See Houston, TX salary details

$25

$38

$66

How much do remote accelerate learning jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for remote accelerate learning in Houston, TX is $38.86, according to ZipRecruiter salary data. Most workers in this role earn between $28.22 and $50.48 per hour, depending on experience, location, and employer.

What is the difference between Remote Accelerate Learning vs Remote Learning Coordinator?

AspectRemote Accelerate LearningRemote Learning Coordinator
Required CredentialsTypically requires a degree in education, training, or related field; certifications in instructional design or e-learning are commonUsually requires a degree in education, communication, or related field; certifications in curriculum development or online teaching are beneficial
Work EnvironmentPrimarily online, involving content development, training sessions, and learner engagementPrimarily online, coordinating learning programs, managing schedules, and supporting learners
Employer & Industry UsageUsed by educational institutions, corporate training companies, and e-learning platformsUsed by schools, universities, and corporate training departments

Remote Accelerate Learning focuses on developing and delivering educational content and training programs, often involving content creation and instructional design. In contrast, a Remote Learning Coordinator manages the logistics, schedules, and support for online learning programs. Both roles require similar credentials and work in online environments, but their core responsibilities differ in content development versus program coordination.

What cities near Houston, TX are hiring for Remote Accelerate Learning jobs?

Cities near Houston, TX with the most Remote Accelerate Learning job openings:

Infographic showing various Remote Accelerate Learning job openings in Houston, TX as of June 2026, with employment types broken down into 3% As Needed, 74% Full Time, 20% Part Time, and 3% Contract. Highlights an 52% Physical, 3% Hybrid, and 45% Remote job distribution, with an average salary of $80,837 per year, or $38.9 per hour.

Machine Learning & AI Infrastructure Engineer

Houston, TX โ€ข Remote

KORE1 Technologies
Recruiting and Staffing Servicesย โ€ขย 201 - 500 employees

$190K/yr

Full-time

Re-posted 9 days ago


Key responsibilities

  • Deploy, administer, and optimize AI and HPC infrastructure environments.

  • Support compute, storage, networking, and container platforms across customer and internal environments.

  • Collaborate with engineering teams to design and implement modern AI and machine learning platforms.


Job description


KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for a Machine Learning & AI Infrastructure Engineer that is fully remote. 

Summary:
We are seeking a Machine Learning & AI Infrastructure Engineer to help design, deploy, and support advanced AI, machine learning, and high-performance computing (HPC) environments. This hands-on technical role will work directly with compute, storage, networking, and containerized infrastructure to deliver scalable, high-performance solutions for enterprise, healthcare, research, and academic organizations.
The ideal candidate is passionate about AI infrastructure, thrives in complex technical environments, and enjoys solving challenging engineering problems while working alongside cross-functional teams.
Key Responsibilities
  • Deploy, administer, and optimize AI and HPC infrastructure environments.
  • Support compute, storage, networking, and container platforms across customer and internal environments.
  • Troubleshoot system performance, reliability, and scalability issues.
  • Assist with infrastructure automation and operational improvements.
  • Collaborate with engineering teams to design and implement modern AI and machine learning platforms.
  • Monitor and maintain infrastructure to ensure high availability and performance.
  • Support customer implementations and ongoing operational needs.

Required Qualifications
  • Strong experience administering HPC bare-metal environments.
  • Experience with NVIDIA Base Command Manager, Bright Cluster Manager, or similar HPC management platforms preferred.
  • Hands-on Kubernetes administration experience, particularly with persistent storage provisioning and CSI integrations.
  • Strong Linux administration skills, preferably Ubuntu.
  • Experience with Bash and/or Python scripting.
  • Strong troubleshooting and systems engineering capabilities.

Preferred Qualifications
  • Experience administering enterprise storage platforms such as Dell PowerScale/Isilon, VAST Storage, NetApp ONTAP, DDN IntelliFlash, or similar technologies.
  • Experience with DDN Exascaler, Lustre, or other parallel file systems.
  • Containerization and container orchestration experience.
  • Familiarity with InfiniBand networking and NVIDIA UFM.
  • Experience supporting enterprise Ethernet networking environments.
  • Exposure to AI, machine learning, or GPU-accelerated computing environments.

What Success Looks Like
  • Reliable deployment and operation of AI and HPC environments.
  • Strong system performance, scalability, and uptime.
  • Effective collaboration with engineering and customer teams.
  • Continuous improvement of infrastructure automation and operational processes.
  • Successful delivery of complex technical solutions supporting advanced AI and research initiatives.




Compensation depends on experience but is typically $170-190k/year.

ABOUT KORE1
Specializing in professional and technical recruiting, KORE1 is committed to supporting top IT, Engineering, Creative, Scientific, Accounting and Finance professionals in their career paths. We build deep relationships with leading companies, connecting them to exceptional talent every day. With extensive industry expertise and unmatched opportunities, our goal is to provide a unique experience for our contractors and consultants as they prepare for their next role. We are passionate about matching the right people with the right companies.

Kore1 provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Kore1 complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Kore1 expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Kore1's employees to perform their job duties may result in discipline up to and including discharge.