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Technical Support Engineer Remote Jobs in Macon, GA

Booz Allen Hamilton, Inc.

Systems Engineer

Warner Robins, GA · On-site +1

$86K - $198K/yr

Remote Work: Hybrid Job Number: R0243157 Location: Warner Robins,GA,US Share job via: Share Systems ... Are you looking for an opportunity to combine your technical skills with big picture thinking to ...

Blue Bird

Field Service Engineer, Fleet

Macon, GA · On-site +1

The FSE is the primary provider of engineering level factory support on Field Service technical ... Remote Equal Opportunity Employer This employer is required to notify all applicants of their ...

U.S. Army Cyber Command

Cyber Technical Director

Gordon, GA · On-site +1

$156K - $197K/yr

... support the development of strategic and operational plans. * Directs and oversees the JFHQ-C ... Exercises expert understanding of computer engineering principles and analytical concerns to make ...

Liveops

Remote Spanish Bilingual Customer Service

Macon, GA · Remote

$14.75 - $18.75/hr

Whether your background is in healthcare, customer care, finance, or technical support, this is your chance to leverage your skills, broaden your horizons, and build a rewarding home-based business ...

Genuine Parts Company

Account Specialist

Macon, GA · On-site +1

$18.25 - $25/hr

Works with local customers to identify, quote, engineer, and close product and solution sales. * Provides technical support as required. * Works with and coordinates vendor resources to build ...

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Technical Support Engineer Remote information

See Macon, GA salary details

$36K

$75.8K

$114.6K

How much do technical support engineer remote jobs pay per year?

As of Aug 9, 2026, the average yearly pay for technical support engineer remote in Macon, GA is $75,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,600.00 and $94,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a technical support engineer remote, and why are they important?

To thrive as a Technical Support Engineer Remote, you need strong problem-solving abilities, technical troubleshooting expertise, and a background in IT or computer science, often supported by relevant certifications like CompTIA A+ or Microsoft Certified Solutions Expert (MCSE). Familiarity with ticketing systems, remote desktop tools, and diagnostic software is essential for effective support. Exceptional communication skills, patience, and the ability to work independently are crucial soft skills in a remote environment. These qualities enable efficient resolution of technical issues, ensure customer satisfaction, and maintain seamless remote operations.

What is the difference between Technical Support Engineer Remote vs Technical Support Specialist?

AspectTechnical Support Engineer RemoteTechnical Support Specialist
Required CredentialsTypically requires a degree in IT, Computer Science, or related field; certifications like CompTIA A+ or Network+ are commonOften requires similar certifications; may have less emphasis on formal degrees
Work EnvironmentRemote, often supporting enterprise clients or internal teams via online toolsCan be remote or on-site; supports customers via phone, email, or chat
Employer & Industry UsageUsed across tech companies, SaaS providers, and IT service firmsCommon in tech, retail, and telecommunications industries

Both roles involve troubleshooting technical issues, but Technical Support Engineer Remote typically requires more technical expertise and handles complex problems remotely, while Technical Support Specialist may focus on basic support and customer service. The roles often overlap, but the engineer position usually demands a higher technical skill level and certifications.

What does a technical support engineer do in a remote role?

A Technical Support Engineer working remotely provides assistance to customers or internal teams in resolving technical issues related to software, hardware, or network systems. They diagnose problems, offer troubleshooting guidance, and may escalate complex issues to higher-level engineers. Communication is typically done through email, chat, or video calls, ensuring users can continue their work with minimal disruption. Remote Technical Support Engineers must be skilled in problem-solving, customer service, and using various support tools. Their goal is to help users resolve issues efficiently, regardless of their physical location.

What are some typical challenges faced by technical support engineers working remotely, and how can they be managed?

Remote Technical Support Engineers often face challenges such as troubleshooting complex technical issues without in-person access to customer systems and maintaining clear communication across different time zones. To manage these, effective use of remote access tools, thorough documentation, and proactive communication with both customers and team members are crucial. Additionally, setting up a dedicated workspace and establishing structured routines can help maintain productivity and work-life balance. Regular virtual meetings and collaboration platforms also support knowledge sharing and team cohesion.
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Technical Support Engineer Remote jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Macon, GA • Remote

Full-time

Re-posted 19 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply