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Remote Computer Engineer Jobs in Atlanta, GA (NOW HIRING)

Software Engineer, Johns Creek, GA

Johns Creek, GA ยท On-site +1

$114K - $134K/yr

Bachelor's degree in Computer Science, Computer Engineering, Electronics Engineering, or related field and 2 years of experience in the job offered or in a Software Engineer-related occupation.

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Remote Computer Engineer information

See Atlanta, GA salary details

$47.2K

$118.2K

$133.8K

How much do remote computer engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for remote computer engineer in Atlanta, GA is $118,242.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $128,000.00 per year, depending on experience, location, and employer.

Can a computer engineer work remotely?

Yes, many computer engineering roles can be performed remotely, especially those involving software development, system design, and troubleshooting. Remote work often requires strong communication skills, familiarity with collaboration tools, and sometimes specific certifications or security clearances depending on the job.

What are some common challenges faced by remote computer engineers, and how can they be overcome?

Remote computer engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with colleagues, and staying motivated without direct in-person supervision. Overcoming these challenges typically involves proactive scheduling, frequent updates via team messaging tools, and focusing on structured routines to manage tasks independently. Many companies also offer virtual stand-ups, regular check-ins, and supportive remote work cultures to foster connection and keep team members engaged. With the right strategies and tools, remote engineers can collaborate effectively and thrive in their roles.

What is a Remote Computer Engineer job?

A Remote Computer Engineer is a professional who designs, develops, tests, and maintains computer systems and software while working remotely. They may specialize in areas such as software development, network engineering, cybersecurity, or cloud computing. These engineers collaborate with teams using online tools, troubleshoot technical issues, and ensure systems run efficiently. Remote work allows flexibility but requires strong communication skills and self-discipline. Many companies hire remote computer engineers to reduce costs and access global talent.

How to make 2000 a week working from home?

A remote computer engineer can earn $2,000 a week by taking on high-paying freelance projects, consulting roles, or contract work that leverage specialized skills such as programming, network security, or system architecture. Building a strong portfolio, obtaining relevant certifications, and using platforms like Upwork or Toptal can help access higher-paying opportunities. Consistent work, advanced skills, and efficient time management are key to reaching this income level.

How to make $100,000 a year working from home?

A remote computer engineer can reach a $100,000 annual salary by gaining specialized skills in high-demand areas such as cybersecurity, cloud computing, or software development, and obtaining relevant certifications like CISSP or AWS Certified Solutions Architect. Building a strong portfolio, gaining experience, and working for companies that offer remote roles with competitive pay are also key factors.

What engineers make $500,000?

Senior computer engineers, especially those in specialized fields like software architecture, machine learning, or cybersecurity, can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. High compensation typically requires extensive experience, advanced skills, and work at large tech companies or startups with significant funding.

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

To thrive as a Remote Computer Engineer, you need strong programming skills, problem-solving abilities, and a degree in computer science or a related field. Experience with collaboration platforms (like Git, Jira, or Slack), cloud technologies, and relevant certifications such as AWS or CompTIA Network+ is often required. Excellent time management, self-motivation, and written communication skills are crucial for successful remote work. These qualities enable consistent productivity, seamless teamwork, and effective project delivery in a decentralized environment.

What are the most commonly searched types of Computer Engineer jobs in Atlanta, GA? The most popular types of Computer Engineer jobs in Atlanta, GA are:
What job categories do people searching Remote Computer Engineer jobs in Atlanta, GA look for? The top searched job categories for Remote Computer Engineer jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Remote Computer Engineer jobs? Cities near Atlanta, GA with the most Remote Computer Engineer job openings:
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Lawrenceville, GA โ€ข Remote

Other

Posted 24 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

โ€‹

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:

  • Bachelorโ€™s or Masterโ€™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.