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Remote Remote Controls Engineer Jobs in Georgia (NOW HIRING)

YO AI Labs

RL Environment Engineer - Remote

Atlanta, GA · Remote

$80 - $120/hr

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 ...

YO AI Labs

AI Software Engineer - Remote

Atlanta, GA · Remote

$80 - $120/hr

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 ...

YO AI Labs

CUDA Developer - Remote

Atlanta, GA · Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your ...

YO AI Labs

CUDA Engineering Expert - Remote

Atlanta, GA · Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your ...

YO AI Labs

GPU Programmer - Remote

Atlanta, GA · Remote

$60 - $85/hr

GPU Programmer - Remote Job Type: Contractor Location: Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM ...

Kemper

Data Quality Engineer

Alpharetta, GA · Remote

$111K - $134K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... controls into ETL/ELT pipelines and CI/CD deployment processes across Snowflake, Oracle, and AWS ...

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All JobsControls Engineer JobsRemote Remote Controls Engineer JobsRemote Remote Controls Engineer Jobs in Georgia

Remote Remote Controls Engineer information

What is the difference between Remote Remote Controls Engineer vs Remote Electronics Technician?

AspectRemote Remote Controls EngineerRemote Electronics Technician
CredentialsBachelor's in Electrical Engineering or related field, certifications like CCENT or CompTIA A+Associate's degree in Electronics or related field, certifications like CompTIA A+
Work EnvironmentDesign, testing, and troubleshooting remote control systems remotely or in labsInstall, maintain, and repair electronic systems remotely or on-site
Industry UsageConsumer electronics, remote control manufacturing, automationElectronics repair services, manufacturing, automation industries

The Remote Remote Controls Engineer focuses on designing and developing remote control systems, while the Remote Electronics Technician handles installation, maintenance, and repair of electronic systems. Both roles often require similar certifications and may work remotely, but their core responsibilities differ in scope and focus.

What are popular job titles related to Remote Remote Controls Engineer jobs in Georgia?

For Remote Remote Controls Engineer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Remote Remote Controls Engineer jobs in Georgia look for?

The top searched job categories for Remote Remote Controls Engineer jobs in Georgia are:

What cities in Georgia are hiring for Remote Remote Controls Engineer jobs?

Cities in Georgia with the most Remote Remote Controls Engineer job openings:

Remote Remote Controls Engineer jobs near you
Infographic showing various Remote Remote Controls Engineer job openings in Georgia as of September 2026, with employment types broken down into 85% Full Time, 10% Part Time, and 5% Contract. Highlights an 5% In-person, and 95% Remote job distribution.

Machine Learning Engineer - Remote

Atlanta, GA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$80 - $120/hr

Full-time

Posted 15 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.