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Hourly Remote Machine Learning Engineer Jobs in Baytown, TX

Our platform uses AI and machine learning to orchestrate connectivity across satellite, terrestrial ... We are headquartered in the greater Miami region, with remote teams spanning the U.S., Europe, and ...

Our platform uses AI and machine learning to orchestrate connectivity across satellite, terrestrial ... We are headquartered in the greater Miami region, with remote teams spanning the U.S., Europe, and ...

Senior AI Engineer

Houston, TX ยท On-site +1

$99K - $137K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... The Senior AI Engineer 1 (Senior Staff) leads the development of advanced AI and machine learning ...

Data Analyst

Houston, TX ยท On-site +1

$21 - $26/hr

Work closely with engineering teams, project managers, and other departments to understand their ... Knowledge of machine learning algorithms and data mining techniques. * Familiarity with project ...

Practical experience with geoscience coding, data science, and/or machine learning. Why Intern at ... The selected candidate's monthly or hourly compensation will be determined based on their selected ...

Senior Transmission Line Engineer - REMOTE

Houston, TX ยท Remote

$99K - $137K/yr

Title: Senior Transmission Line Engineer Location: Remote US Ready to make a difference? We are ... Committed to continuous learning and process improvement, consistently seeking opportunities to ...

Showing results 41-60

Hourly Remote Machine Learning Engineer information

See Baytown, TX salary details

$23.2K

$38.8K

$80.1K

How much do hourly remote machine learning engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for hourly remote machine learning engineer in Baytown, TX is $38,773.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,600.00 and $41,900.00 per year, depending on experience, location, and employer.

What are some common challenges faced by hourly remote machine learning engineers, and how can they be addressed?

Hourly remote machine learning engineers often encounter challenges such as managing time effectively across multiple projects, ensuring clear communication with distributed teams, and accessing necessary data or computing resources remotely. Building strong routines for regular check-ins and using collaborative tools can help maintain alignment with project goals. Additionally, proactively clarifying expectations and deliverables with clients or team leads can minimize misunderstandings and improve productivity in a remote, hourly environment.

What does an hourly remote machine learning engineer do?

An Hourly Remote Machine Learning Engineer is a professional who develops and implements machine learning models and algorithms for clients or employers on an hourly contract basis, all while working from a remote location. Their responsibilities typically include data preprocessing, model selection, training, testing, and deployment. They collaborate with teams via online tools, manage their own schedules, and deliver results according to project requirements. This role allows for flexibility and the opportunity to work on diverse projects across different industries.

What are the key skills and qualifications needed to thrive as an hourly remote machine learning engineer, and why are they important?

To thrive as an Hourly Remote Machine Learning Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and experience with data preprocessing, typically supported by a relevant degree or equivalent experience. Familiarity with tools and frameworks such as TensorFlow, PyTorch, scikit-learn, cloud platforms (e.g., AWS, GCP), and version control systems like Git is essential. Excellent time management, self-motivation, and clear communication skills help you collaborate effectively across distributed teams and manage project-based work. These skills and qualities are vital for delivering high-quality results independently, meeting deadlines, and adapting to the dynamic needs of remote projects.
What are popular job titles related to Hourly Remote Machine Learning Engineer jobs in Baytown, TX? For Hourly Remote Machine Learning Engineer jobs in Baytown, TX, the most frequently searched job titles are:
What cities near Baytown, TX are hiring for Hourly Remote Machine Learning Engineer jobs? Cities near Baytown, TX with the most Hourly Remote Machine Learning Engineer job openings:

Sales Engineer, Energy

Quvia

Houston, TX โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


Job description

Job Title: Sales Engineer, Energy

Group:Energy


About Quvia:

Quvia is building the digital fabric between edge and cloud. Our platform uses AI and machine learning to orchestrate connectivity across satellite, terrestrial, and hybrid networks so customers can move and manage data in the world's most network constrained environments.


We partner with global leaders in aviation, maritime, energy and other industries where connectivity is variable and complex, and digital services depend on reliable data movement. As companies deploy AI, automation and data-driven systems at the edge, Quvia provides the platform needed to unlock the full potential of their data and build value above the network.


Quvia is a fast growing, Series A company backed by Colombia Capital ($5B+ in fund commitments. It is headquartered in the greater Miami are with offices in the UK and India.


Learn more atwww.quvia.aiandwww.linkedin.com/company/quvia.


Why Quvia?

  • Founded in 2019, we are a fast-growing, Series A tech startup passionate about making connectivity experiences better for everyone.
  • Our industry-first solutions are already addressing major challenges for companies in the travel and transportation industries-and we're just getting started.
  • As an early-stage company, new hires will have the opportunity to make a significant impact on our growth trajectory.
  • We are headquartered in the greater Miami region, with remote teams spanning the U.S., Europe, and India.
  • Quvia is backed by Columbia Capital, a respected venture capital firm founded in 1989 that has raised over $5 Bn of fund commitments.


About the Role

Quvia is seeking a Sales Engineer to lead the technical lifecycle of network and connectivity solutions for customers across the Energy & Shipping vertical in the US region. This is a customer-facing engineering role that blends deep technical expertise with commercial awareness, supporting the full solution lifecycle-from requirements discovery, design, and proof of concept through deployment, validation, and post-implementation optimization.

You will serve as the technical lead and subject matter expert for Quvia's products and network solutions. Working in close partnership with Sales, Product, and Engineering teams, you'll ensure solutions are robust, scalable, and aligned to each customer's operational and business needs. This role is ideal for someone who thrives at the intersection of engineering and customer engagement and is motivated by bringing technically elegant, high-performance solutions to production.


What You'll Do

  • Lead all technical phases of the customer journey, including discovery, system design, deployment planning, and post-launch optimization.
  • Act as a senior technical advisor to customers and partners, architecting IP-based and satellite-enabled network solutions tailored to their requirements.
  • Conduct in-depth technology assessments, feasibility analyses, and proof-of-concept testing for proposed designs.
  • Collaborate with cross-functional internal teams-Sales, Product, Engineering, and Operations-to ensure solution integrity and seamless handoffs from design through execution.
  • Develop detailed technical documentation, design specifications, configuration guides, and performance evaluations.
  • Support deployments by providing technical oversight, troubleshooting support, and validation testing during implementation and go-live phases.
  • Analyze post-sales system performance data and customer feedback to identify optimization and future improvement opportunities.
  • Capture evolving technical requirements and field feedback to inform product roadmaps, network design refinements, and emerging technology adoption.
  • Participate in technical presentations, workshops, and customer training to build technical understanding and system adoption.
  • Maintain up-to-date knowledge of network infrastructure technologies, wireless communications, satellite systems, and IP networking best practices.


What You'll Need

  • Bachelor's degree (or equivalent experience) in Electrical, Telecommunications, or Systems Engineering, or a related technical field.
  • At least 5 years of hands-on experience in telecommunications, mobile networks, or broadcast systems engineering.
  • Strong understanding of digital communication systems, RF signal theory, IP network design, and traffic management (QoS).
  • Experience deploying or managing VSAT platforms, IP routing, and transmission technologies (unicast/multicast, VoIP, IPsec).
  • Familiarity with wireless communications systems including Wi-Fi and cellular architectures.
  • Proven experience across both pre- and post-sales technical activities, with direct ownership of system design, deployment, and performance outcomes.
  • Excellent technical communication and documentation skills, able to convey complex engineering concepts clearly to both technical and non-technical audiences.
  • Comfort operating in multicultural, customer-facing environments, with the ability to travel up to 20% across the US.
  • High attention to detail and a solution-oriented mindset aimed at achieving long-term customer success.


What We'll Offer

  • Connectivity and content engineering and business knowledge
  • Opportunity to work in cross-functional teams
  • Competitive Salary
  • 401(k) with 100% match up to 4.0% after one year of service
  • Competitive health benefits, including optical and dental
  • Life Insurance
  • Performance Bonus
  • Flexible paid time off policy
  • Monthly Phone Allowance


Quvia will never ask to interview job applicants via text message or ask for personal banking information as part of the interview process. Quvia will never ask job applicants or new hires to send money or deposit checks for the company. In case of doubt, please contact us directly at katy@quvia.ai.


Quvia Inc. is an Equal Opportunity Employer. Employment opportunities at Quvia Inc. are based upon one's qualifications and capabilities to perform the essential functions of a particular job. All employment opportunities are provided without regard to race, religion, sex (including sexual orientation and transgender status), pregnancy, childbirth or related medical conditions, national origin, age, veteran status, disability, genetic information, or any other characteristic protected by law.