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Remote Ai Infrastructure Engineer Jobs in Atlanta, GA

YO AI Labs

Backend Engineer - Remote

Atlanta, GA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... No prior AI experience is required. Key Responsibilities * Create reinforcement learning ...

Worth AI

Senior Agentic (AI) Engineer

Atlanta, GA · Remote

$107K - $146K/yr

Worth AI is hiring a Senior Agentic AI Engineer to design and ship production agent systems that ... All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town ...

Worth AI

Senior Agentic (AI) Engineer

Atlanta, GA · On-site +1

$100K - $138K/yr

Worth AI is hiring a Senior Agentic AI Engineer to design and ship production agent systems that ... All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town ...

YO AI Labs

RL Environment Engineer - Remote

Atlanta, GA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... No prior AI experience is required. Key Responsibilities * Create reinforcement learning ...

YO AI Labs

CUDA Software Engineer - Remote

Atlanta, GA · Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... No prior AI experience is required. Key Responsibilities * Analyze, profile, and optimize GPU ...

YO AI Labs

AI Data Scientist Expert - Remote

Atlanta, GA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

YO AI Labs

AI Data Science Expert - Remote

Atlanta, GA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

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All JobsAi Infrastructure Engineer JobsRemote Ai Infrastructure Engineer JobsRemote Ai Infrastructure Engineer Jobs in Atlanta, GA

Remote Ai Infrastructure Engineer information

See Atlanta, GA salary details

$44.7K

$122.2K

$175K

How much do remote ai infrastructure engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote ai infrastructure engineer in Atlanta, GA is $122,194.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,400.00 and $135,600.00 per year, depending on experience, location, and employer.

What is a remote AI infrastructure engineer?

A Remote AI Infrastructure Engineer is a professional who designs, builds, and maintains the systems and tools necessary to support artificial intelligence (AI) projects, all while working remotely. Their responsibilities often include developing and optimizing cloud or on-premise infrastructure, ensuring scalability, managing data pipelines, and supporting machine learning workflows. They work closely with data scientists and software engineers to ensure AI models can be efficiently trained, deployed, and monitored in production environments. The remote aspect allows them to perform these tasks from anywhere, using collaboration tools and cloud platforms.

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

To thrive as a Remote AI Infrastructure Engineer, you need expertise in cloud computing, distributed systems, and software engineering, often supported by a degree in computer science or a related field. Familiarity with tools like Kubernetes, Docker, Terraform, and cloud platforms such as AWS, Azure, or GCP is typically required, along with knowledge of CI/CD pipelines and AI/ML frameworks. Strong problem-solving skills, self-motivation, and effective remote communication are essential soft skills for success in this role. These skills ensure robust, scalable AI infrastructure that supports rapid innovation and seamless collaboration across distributed teams.

What are some common challenges faced by remote AI infrastructure engineers, and how can they be addressed?

Remote AI Infrastructure Engineers often encounter challenges such as managing distributed systems, ensuring robust data pipelines, and maintaining high system reliability across different time zones. Collaboration with cross-functional teams can require clear communication and effective use of remote tools. To address these challenges, it's important to establish strong documentation practices, schedule regular check-ins, and utilize automated monitoring and deployment solutions. Staying proactive and adaptable helps ensure seamless infrastructure performance and team alignment.

What are the most commonly searched types of Ai Infrastructure Engineer jobs in Atlanta, GA?

The most popular types of Ai Infrastructure Engineer jobs in Atlanta, GA are:

What are popular job titles related to Remote Ai Infrastructure Engineer jobs in Atlanta, GA?

For Remote Ai Infrastructure Engineer jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Remote Ai Infrastructure Engineer jobs in Atlanta, GA look for?

The top searched job categories for Remote Ai Infrastructure Engineer jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Remote Ai Infrastructure Engineer jobs?

Cities near Atlanta, GA with the most Remote Ai Infrastructure Engineer job openings:

Remote Ai Infrastructure Engineer jobs near you
Infographic showing various Remote Ai Infrastructure Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $122,194 per year, or $58.7 per hour.

Backend Engineer - Remote

YO AI Labs

Atlanta, GA • Remote

$80 - $120/hr

Full-time

Posted 11 days ago

Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.