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Flutter Remote Jobs in California (NOW HIRING)

YO AI Labs

RL Environment Engineer - Remote

Palo Alto, CA · Remote

$80 - $120/hr

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 ...

YO AI Labs

RL Environment Engineer - Remote

San Jose, CA · Remote

$80 - $120/hr

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 ...

YO AI Labs

AI Software Engineer - Remote

San Francisco, CA · Remote

$80 - $120/hr

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 ...

YO AI Labs

AI Software Engineer - Remote

Los Angeles, CA · Remote

$80 - $120/hr

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 ...

YO AI Labs

AI Software Engineer - Remote

San Jose, CA · Remote

$80 - $120/hr

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 ...

YO AI Labs

AI Software Engineer - Remote

Palo Alto, CA · Remote

$80 - $120/hr

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 ...

YO AI Labs

AI coding agents Expert - Remote

Palo Alto, CA · Remote

$80 - $120/hr

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 ...

YO AI Labs

AI/ML Software Engineer - Remote

Palo Alto, CA · Remote

$80 - $120/hr

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 ...

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All JobsFlutter JobsFlutter Remote JobsFlutter Remote Jobs in California

Flutter Remote information

See California salary details

$10.9K

$106.9K

$167.8K

How much do flutter remote jobs pay per year?

As of Sep 3, 2026, the average yearly pay for flutter remote in California is $106,896.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,000.00 and $122,900.00 per year, depending on experience, location, and employer.

What is a Flutter remote?

A Flutter Remote job is a position that involves developing mobile applications using the Flutter framework while working from a remote location. Developers in this role create cross-platform apps for iOS and Android using a single codebase written in Dart. These jobs often require experience with Flutter, state management, APIs, and UI/UX design. Remote Flutter developers collaborate with teams using online tools, ensuring seamless communication and project management.

What are the key skills and qualifications needed to thrive in the Flutter remote position?

To thrive as a Flutter Remote developer, you need a solid understanding of Dart programming, cross-platform mobile app development, and experience building and deploying apps using the Flutter framework. Familiarity with tools like Android Studio, Visual Studio Code, Git, and CI/CD pipelines is often required, and certifications in mobile development can be advantageous. Strong communication, self-motivation, and time management skills help you excel when working remotely with distributed teams. These competencies enable you to deliver high-quality, maintainable apps efficiently while collaborating effectively in a remote environment.

What are the common challenges faced by remote Flutter developers and how can they overcome them?

Remote Flutter developers often encounter challenges such as coordinating across time zones, maintaining clear communication with team members, and managing their own time and productivity. To address these challenges, it’s important to adopt effective collaboration tools (like Slack, Jira, or Zoom), establish regular check-ins with your team, and use version control systems diligently. Setting a consistent work schedule, creating a dedicated workspace, and proactively seeking feedback can also help maintain high performance and job satisfaction. By tackling these obstacles head-on, remote Flutter developers can thrive and contribute meaningfully to their projects.

What are the most commonly searched types of Flutter jobs in California?

The most popular types of Flutter jobs in California are:

What are popular job titles related to Flutter Remote jobs in California?

For Flutter Remote jobs in California, the most frequently searched job titles are:

What job categories do people searching Flutter Remote jobs in California look for?

The top searched job categories for Flutter Remote jobs in California are:

What cities in California are hiring for Flutter Remote jobs?

Cities in California with the most Flutter Remote job openings:

Flutter Remote jobs near you
Infographic showing various Flutter Remote job openings in California as of August 2026, with employment types broken down into 1% Internship, 2% As Needed, 85% Full Time, 7% Part Time, and 5% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $106,896 per year, or $51.4 per hour.

Machine Learning Engineer - Remote

YO AI Labs

San Francisco, CA • 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.