2

Remote Reality Labs Jobs in Georgia (NOW HIRING)

AI Software Engineer - Remote

Atlanta, GA ยท Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Develop realistic, reproducible software engineering scenarios. * Ensure tasks accurately measure ...

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Develop realistic, reproducible software engineering scenarios. * Ensure tasks accurately measure ...

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Develop realistic, reproducible software engineering scenarios. * Ensure tasks accurately measure ...

Product Manager - Remote

Atlanta, GA ยท Remote

$80 - $100/hr

Remote, US-Based Job Overview We are seeking experienced Product Management Experts to contribute ... You will design realistic product scenarios and develop gold-standard deliverables across PRDs ...

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Develop realistic, reproducible software engineering scenarios. * Ensure tasks accurately measure ...

Remote, US-Based Job Overview We are seeking experienced Product Management Experts to contribute ... You will design realistic product scenarios and develop gold-standard deliverables across PRDs ...

Design Expert - Remote

Atlanta, GA ยท On-site +1

$30 - $70/hr

Remote Schedule: Flexible / Self-Directed Job Overview We are seeking senior Product Design and AI ... Create realistic scenarios covering rapid prototyping, iteration, design systems, and product ...

DevOps Engineer - Remote

Atlanta, GA ยท Remote

$50 - $150/hr

Remote Job Overview We are seeking experienced DevOps Engineers to create and evaluate production ... Design realistic DevOps tasks covering CI/CD, containers, Kubernetes, IaC, monitoring, and incident ...

Showing results 21-31

Remote Reality Labs information

What is Remote Reality Labs?

Remote Reality Labs are research and development environments focused on advancing technologies related to virtual reality (VR), augmented reality (AR), and mixed reality (MR), often operated by organizations like Meta (formerly Facebook). These labs work on creating new hardware, software, and experiences that enable users to interact with digital environments remotely. Teams in Remote Reality Labs may include engineers, designers, and researchers who collaborate to push the boundaries of immersive technology, with the goal of making virtual interactions more realistic and accessible. Much of their work involves prototyping new devices, improving user interfaces, and solving technical challenges related to presence, interaction, and connectivity.

What are some common challenges faced by team members working in Remote Reality Labs, and how can these be addressed?

Team members in Remote Reality Labs often navigate challenges such as coordinating across different time zones, ensuring effective communication in a virtual work environment, and maintaining access to specialized hardware or software for development and testing. To address these issues, teams frequently rely on robust collaboration tools, regular virtual check-ins, and clear project management practices. Additionally, organizations may provide stipends or equipment loans to ensure remote employees have the necessary resources to perform their tasks effectively.

What are the key skills and qualifications needed to thrive as a Remote Reality Labs Engineer, and why are they important?

To thrive as a Remote Reality Labs Engineer, you generally need a strong background in computer science, software development, and experience with AR/VR technologies, supported by relevant degrees or certifications. Familiarity with tools like Unity, Unreal Engine, C++, and VR/AR SDKs is typically required. Creative problem-solving, effective remote collaboration, and adaptability are essential soft skills for this role. These abilities are crucial to drive innovation, ensure seamless teamwork, and deliver cutting-edge immersive experiences in a rapidly evolving field.

What is the difference between Remote Reality Labs vs Virtual Reality Developer?

AspectRemote Reality LabsVirtual Reality Developer
Required CredentialsBachelor's in Computer Science, related fields, or relevant experienceBachelor's or higher in Computer Science, Game Design, or related fields
Work EnvironmentRemote or hybrid, collaborative teams, tech-focusedPrimarily remote or on-site, creative and technical tasks
Industry UsageTech companies, startups, research institutionsGaming, entertainment, training, simulation industries
Common Search/ComparisonYesYes

Remote Reality Labs and Virtual Reality Developer roles share similarities in required skills, work environment, and industry usage. While Remote Reality Labs often focus on research and development in immersive technologies, Virtual Reality Developers typically create VR content and applications. Both roles require technical expertise and are sought after in tech-driven sectors, but their specific focus areas differ slightly.

What are the most commonly searched types of Reality Labs jobs in Georgia?

The most popular types of Reality Labs jobs in Georgia are:

What cities in Georgia are hiring for Remote Reality Labs jobs?

Cities in Georgia with the most Remote Reality Labs job openings:

Infographic showing various Remote Reality Labs job openings in Georgia as of August 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 73% Full Time, 23% Part Time, and 2% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

AI Software Engineer - Remote

YO AI Labs

Atlanta, GA โ€ข Remote

$80 - $120/hr

Full-time

Posted 10 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.