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Remote Github Software Engineer Jobs in Miami, FL

YO AI Labs

AI Trainer - Remote

Miami, FL · 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

Backend Developer - Remote

Miami, FL · 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 ...

Total Performance Consulting

Data Engineer

Florida City, FL · Remote

$105K - $126K/yr

You will use your software development skills in an agile environment to also develop new data ... Experience maintaining projects using a distributed version control system such as Git and GitHub.

Cotality

Principal Software Engineer (Python)

Sunrise, FL · On-site +1

$128K - $172K/yr

The hybrid-remote Principal Software Development Engineer leads the design, development, and testing of complex software systems and applications. This senior-level position is responsible for ...

Canals

Senior Software Engineer - USA

Miami, FL · Remote

$125K - $165K/yr

About Canals Canals builds software for wholesale distributors, helping them operate more ... We're remote-first, flexible, and distributed across North and South America, bringing together ...

Motorola

Senior DevOps Engineer (US REMOTE)

Plantation, FL · Remote

$140K - $170K/yr

Experience with CI/CD tooling (GitHub, BitBucket, Azure DevOps) * Experience with DVCS tooling (Git ... AND 5+ years of software engineering/development experience * AND 2+ year of Kubernetes and Docker ...

YO AI Labs

AI Technical Trainer - Remote

Miami, FL · 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 ...

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All JobsGithub Software Engineer JobsRemote Github Software Engineer JobsRemote Github Software Engineer Jobs in Miami, FL

Remote Github Software Engineer information

See Miami, FL salary details

$60.7K

$141.1K

$196.6K

How much do remote github software engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote github software engineer in Miami, FL is $141,098.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,800.00 and $165,500.00 per year, depending on experience, location, and employer.

What does a remote GitHub software engineer do?

A Remote Github Software Engineer is responsible for designing, developing, and maintaining software applications, typically using the GitHub platform for version control and collaboration. They work from a remote location, collaborating with team members through online tools and repositories. Their tasks often include writing code, reviewing pull requests, managing issues, and ensuring the quality and security of software projects. Effective communication and strong problem-solving skills are essential for success in this role.

What are the key skills and qualifications needed to thrive as a remote GitHub software engineer?

To thrive as a Remote Github Software Engineer, you need strong coding abilities (often in languages like Ruby, Go, or JavaScript), experience with version control systems, and a solid understanding of software development principles, typically backed by a relevant degree or significant professional experience. Familiarity with GitHub's ecosystem, CI/CD pipelines, cloud platforms, and tools like Docker or Kubernetes is crucial, along with knowledge of automated testing frameworks. Exceptional written communication, self-motivation, and collaboration skills are essential for effective teamwork and problem-solving in a remote environment. These skills and qualities ensure you can contribute high-quality code, coordinate with distributed teams, and deliver reliable software solutions efficiently.

How does a remote GitHub software engineer typically collaborate with team members across different time zones?

As a Remote Github Software Engineer, effective collaboration often relies on asynchronous communication tools like GitHub Issues, Pull Requests, and project boards. Regularly updating documentation, leaving detailed code reviews, and participating in scheduled virtual meetings help ensure everyone stays aligned despite time differences. Strong written communication skills are essential, as much of the collaboration happens through comments and documentation rather than real-time discussions. This setup fosters flexibility but also requires proactive communication to avoid misunderstandings and project delays.

What are the most commonly searched types of Github Software Engineer jobs in Miami, FL?

The most popular types of Github Software Engineer jobs in Miami, FL are:

What are popular job titles related to Remote Github Software Engineer jobs in Miami, FL?

For Remote Github Software Engineer jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Remote Github Software Engineer jobs in Miami, FL look for?

The top searched job categories for Remote Github Software Engineer jobs in Miami, FL are:

What cities near Miami, FL are hiring for Remote Github Software Engineer jobs?

Cities near Miami, FL with the most Remote Github Software Engineer job openings:

Remote Github Software Engineer jobs near you
Infographic showing various Remote Github Software Engineer job openings in Miami, FL as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $141,098 per year, or $67.8 per hour.

AI Trainer - Remote

YO AI Labs

Miami, FL • Remote

$80 - $120/hr

Full-time

Posted 7 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.