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Remote Ai Automation Jobs in Dallas, GA (NOW HIRING)

Juvare

Cloud Automation Engineer

Atlanta, GA · Remote

... AI tooling into that process where it adds real leverage. Location * Atlanta / Remote What You'll ... Develop automation workflows (e.g., n8n, Zapier, custom scripts/APIs) that reduce manual ...

YO AI Labs

CRM Operations Specialist Remote

Atlanta, GA · Remote

$40 - $100/hr

Remote Job Overview We are seeking experienced CRM Operations Specialists to contribute to a ... automation, and data management to help improve next-generation AI systems. You will provide real ...

3E

Director, Customer Implementations

Atlanta, GA · Remote

$150K - $165K/yr

This position supports remote work in EST, and candidates should be based near one of our U.S. East ... Identify opportunities to use AI, automation, workflow tools, and digital workers to reduce manual ...

YO AI Labs

GIS/Geospatial Expert

Atlanta, GA · Remote

$80 - $100/hr

GIS & Geospatial AI Expert Role Type: Contractor Location: Remote Job Overview We are seeking ... automation, and architectural changes. * Share real-world examples where ambiguity, scale, data ...

YO AI Labs

Infrastructure Expert - Remote

Atlanta, GA · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... Experience with workplace connectors, automation, or AI-powered infrastructure workflows is a plus.

YO AI Labs

SolidWorks Expert - Remote

Atlanta, GA · Remote

$40 - $130/hr

No prior AI experience is required--your engineering and CAD expertise are what matter most. Key ... Experience with assembly-level design and CAD workflow automation using Python, iLogic, VBA, or ...

Siemens Healthineers

AI LLM Engineer

Atlanta, GA · On-site +1

... automation, with a strong foundation in data platforms such as Snowflake and modern analytics ... This role is designed to be onsite in Atlanta, Georgia with some remote/hybrid flexibility* What ...

YO AI Labs

DevOps Expert - Remote

Atlanta, GA · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... Experience with workplace connectors, automation, or AI-powered infrastructure workflows is a plus.

YO AI Labs

DevOps Engineer - Remote

Atlanta, GA · Remote

$50 - $150/hr

Remote Job Overview We are seeking experienced DevOps Engineers to create and evaluate production-style infrastructure and automation tasks for next-generation AI systems. You will work on CI/CD ...

YO AI Labs

Autodesk Inventor Expert - Remote

Atlanta, GA · On-site +1

$30 - $120/hr

No prior AI experience is required--your engineering and CAD expertise are what matter most. Key ... Experience with CAD automation, scripting, or API development using Python, iLogic, VBA, NX Open ...

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All JobsAi Automation JobsRemote Ai Automation JobsRemote Ai Automation Jobs in Dallas, GA

Remote Ai Automation information

See Dallas, GA salary details

$33.4K

$96.8K

$147.3K

How much do remote ai automation jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote ai automation in Dallas, GA is $96,781.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,100.00 and $111,600.00 per year, depending on experience, location, and employer.

What is a remote AI automation?

A Remote AI Automation job involves using artificial intelligence technologies to design, implement, and manage automated processes or systems from a remote location. Professionals in this field work on tasks such as developing AI models, integrating automation tools, and optimizing workflows to increase efficiency and reduce manual effort. These roles often require skills in programming, machine learning, and process analysis, and are common in industries like IT, finance, healthcare, and e-commerce. Remote AI Automation specialists collaborate with teams virtually, leveraging cloud-based platforms and communication tools to manage projects and support business goals.

What are some common challenges faced by professionals in remote AI automation roles, and how can they be overcome?

Remote AI automation professionals often encounter challenges such as coordinating across time zones, maintaining clear communication with cross-functional teams, and ensuring robust version control for code and automation workflows. Overcoming these obstacles typically involves leveraging collaboration tools like Slack or Microsoft Teams, setting up regular virtual meetings, and using platforms like GitHub for code management. Being proactive in updates and documentation also helps maintain alignment and productivity in a distributed team environment.

What are the key skills and qualifications needed to thrive as a remote AI automation specialist, and why are they important?

To thrive as a Remote AI Automation Specialist, you need a strong background in computer science, programming (especially Python), and experience with AI/ML frameworks, often supported by a relevant degree or certifications. Familiarity with automation platforms (like UiPath or Automation Anywhere), cloud services, and workflow orchestration tools is typically required. Strong problem-solving abilities, self-motivation, and clear communication skills help you excel in remote, collaborative environments. These skills ensure the effective design, deployment, and management of AI-driven automation solutions that optimize business processes.

What is the difference between Remote Ai Automation vs Data Analyst?

AspectRemote Ai AutomationData Analyst
Required CredentialsCertifications in AI, machine learning, programming (Python, R)Degree in statistics, data science, or related fields; certifications in data analysis tools
Work EnvironmentRemote, tech-focused, collaborative teamsRemote or on-site, business or research settings
Industry UsageTech, AI development, automation solutionsFinance, marketing, healthcare, business intelligence
Search & Comparison IntentUnderstanding AI automation roles, skills, and toolsAnalyzing data, generating reports, insights

Remote Ai Automation specialists focus on developing and implementing AI-driven automation solutions, requiring programming and AI certifications. Data Analysts interpret data to inform business decisions, often using statistical tools. While both roles involve data and technology, Remote Ai Automation emphasizes AI development and automation, whereas Data Analysts focus on data interpretation and reporting.

What job categories do people searching Remote Ai Automation jobs in Dallas, GA look for?

The top searched job categories for Remote Ai Automation jobs in Dallas, GA are:

What cities near Dallas, GA are hiring for Remote Ai Automation jobs?

Cities near Dallas, GA with the most Remote Ai Automation job openings:

Remote Ai Automation jobs near you
Infographic showing various Remote Ai Automation job openings in Dallas, GA as of August 2026, with employment types broken down into 11% Internship, 59% Full Time, 18% Part Time, and 12% Contract. Highlights an 100% Remote job distribution, with an average salary of $96,781 per year, or $46.5 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Kennesaw, GA • Remote

Full-time

Re-posted 18 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