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$12

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$26

How much do remote labview jobs pay per hour?

As of May 28, 2026, the average hourly pay for remote labview in Greenville, TX is $19.28, according to ZipRecruiter salary data. Most workers in this role earn between $16.49 and $20.87 per hour, depending on experience, location, and employer.

What is a Remote LabVIEW job?

A Remote LabVIEW job involves designing, developing, and testing applications using LabVIEW software while working from a remote location. Engineers in this role create virtual instrumentation, automate data collection, and analyze test results for various industries, including automotive, aerospace, and manufacturing. They collaborate with teams using remote communication tools and may integrate hardware like NI data acquisition devices. Strong LabVIEW proficiency, troubleshooting skills, and experience with remote development workflows are essential for success in this role.

What are the key skills and qualifications needed to thrive in the Remote Labview position, and why are they important?

To thrive as a Remote LabVIEW Engineer, you need strong programming skills in LabVIEW, a solid background in electrical or computer engineering, and experience with test automation. Proficiency with NI hardware/software, familiarity with data acquisition systems, and often certification like NI Certified LabVIEW Developer (CLD) are typically required. Excellent communication, problem-solving abilities, and self-motivation are soft skills that set top candidates apart. These skills are essential for developing reliable automated systems, collaborating with cross-functional remote teams, and efficiently solving technical issues from a distance.

What types of projects and daily tasks should I expect as a Remote LabVIEW Engineer?

As a Remote LabVIEW Engineer, you can expect to work on projects involving the design, implementation, and testing of automated systems for data acquisition, instrumentation, and control. Your daily tasks may include writing and debugging LabVIEW code, developing user interfaces, configuring hardware setups with National Instruments devices, and preparing detailed technical documentation. You’ll frequently collaborate with hardware and test engineering teams through virtual meetings and project management tools. This role typically requires strong organizational skills and the ability to independently manage milestones while maintaining clear communication with both technical and non-technical stakeholders. The constantly evolving nature of LabVIEW projects provides opportunities to expand your expertise and advance your career in automation and embedded systems.
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Remote Labview jobs near you
Software Engineer - AI Specialist | Remote

Software Engineer - AI Specialist | Remote

GigWorld Talent Solutions

Dallas, TX • On-site, Remote

Other

Posted 14 days ago

Job description

Job Description Software Engineer - AI Specialist | Remote Permanent, Full-Time We are supporting an innovative technology firm dedicated to building AI-driven solutions that drive efficiency and transformation across industries. We are seeking a highly skilled Software Engineer specializing in Artificial Intelligence to develop, optimize, and deploy AI-powered applications. Responsibilities: Design, develop, and implement AI models and machine learning algorithms.

Collaborate with cross-functional teams to integrate AI solutions into existing platforms. Optimize AI models for performance, scalability, and efficiency. Research and apply the latest advancements in AI and deep learning.

Develop and maintain data pipelines and AI-driven analytics systems. Ensure AI models are robust, ethical, and aligned with best practices. Troubleshoot and improve AI-based applications as needed.

Stay updated on emerging AI trends and technologies. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience in AI and machine learning development.

Proficiency in programming languages such as Python, Java, or C++. Strong understanding of AI frameworks and libraries (TensorFlow, PyTorch, Scikit-learn, etc.). Experience with natural language processing (NLP), computer vision, or predictive analytics

Knowledge of data science methodologies and model evaluation techniques. Experience with cloud platforms and AI services (AWS, Azure, GCP). Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications: Experience with reinforcement learning and generative AI models. Familiarity with AI ethics, bias mitigation, and explainability techniques. Contribution to open-source AI projects.

Understanding of big data technologies and distributed computing. Benefits: Competitive salary and performance-based incentives. Flexible work schedule and remote work opportunities.

Professional development and continuous learning resources. Opportunity to work with a passionate and innovative team in a fast-growing industry.

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