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Remote Service Engineer Jobs in Dallas, TX (NOW HIRING)

Delan Associates, Inc

AI Lead Engineer (Remote)

Dallas, TX · Remote

$104K - $138K/yr

AI Lead Engineer Dallas, TX (REMOTE) 15+ Years Must-Have Skills * Artificial Intelligence (AI) & Machine Learning (ML) * Deep Learning * Generative AI (GenAI) * Large Language Models (LLMs) * Prompt ...

Olsson

Geotechnical Engineer - Remote

Dallas, TX · On-site +1

As a Remote Geotechnical Engineer, you will perform geotechnical engineering design, project ... You will be required to ensure high client service by providing constructible designs, meeting ...

Interlink Technology, Inc.

Be Seen First

Level 1 Help Desk Engineer - Remote

Dallas, TX · Remote

$20 - $23/hr

We are looking for a Level 1 Help Desk Engineer located in Texas to provide remote technical ... Our service team operates on Pacific Time, so this position works 10:00 AM-7:00 PM Central Time

Hologic Inc.

Manager, Field Service

Dallas, TX · Remote

$98K - $150K/yr

Lead, coach, and develop a high-performing team of Field Service Engineers. * Drive customer ... Previous experience leading and developing remote, field-based teams. * Strong customer-facing ...

YO AI Labs

Backend Java Developer - Remote

Dallas, TX · Remote

$60 - $110/hr

Backend Java Developer Job Type: Contractor Location: Remote Job Overview We are seeking ... Develop and integrate REST APIs and backend services. * Review technical requirements and deliver ...

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Remote Service Engineer information

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How much do remote service engineer jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for remote service engineer in Dallas, TX is $39.99, according to ZipRecruiter salary data. Most workers in this role earn between $31.88 and $45.19 per hour, depending on experience, location, and employer.

What is a remote service engineer?

A Remote Service Engineer is responsible for diagnosing, troubleshooting, and resolving technical issues for customers or clients from a remote location. They provide support via phone, email, or online communication tools, ensuring minimal downtime for critical systems. Their role often involves software updates, system maintenance, and guiding users through technical processes. Strong problem-solving skills, technical expertise, and excellent communication are essential for success in this position.

What are the key skills and qualifications needed to thrive as a remote service engineer?

A Remote Service Engineer should possess a solid background in troubleshooting, diagnosing technical issues, and providing remote support, typically backed by a degree in engineering or a related technical field. Familiarity with remote access tools, ticketing systems, CRM software, and certifications like CompTIA A+ or Microsoft Certified Solutions Expert (MCSE) are commonly expected. Exceptional communication skills, adaptability, and proactive problem-solving are vital to excel in this role. These abilities ensure efficient remote resolution of customer concerns, build client trust, and maintain high service quality standards.

What are some of the biggest challenges a remote service engineer might face, and how are they addressed?

One of the main challenges for a Remote Service Engineer is diagnosing and resolving issues without direct, hands-on access to equipment, which requires strong analytical skills and clear communication with clients. They often need to rely on clients to describe problems accurately while using remote access tools to perform troubleshooting. Collaboration with on-site teams or other support engineers is common, especially for complex issues that cannot be resolved remotely. Continuous learning and adapting to updates in hardware, software, and remote support technologies are important for staying effective in this dynamic role. Many employers support their remote engineers with training, regular team meetings, and accessible knowledge bases to help overcome these challenges.

What are popular job titles related to Remote Service Engineer jobs in Dallas, TX?

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Remote Service Engineer jobs near you
Infographic showing various Remote Service Engineer job openings in Dallas, TX as of September 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $83,183 per year, or $40 per hour.

Software Engineer - AI Specialist | Remote

Dallas, TX • On-site, Remote

GigWorld Talent Solutions
Human Resources Consulting Services • 11 - 50 employees
Learn more about GigWorld Talent Solutionsexternal

Full-time

Re-posted yesterday

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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