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Remote Senior Flutter Developer Jobs in Philadelphia, PA

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Remote Senior Flutter Developer information

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$25.2K

$81K

$165K

How much do remote senior flutter developer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote senior flutter developer in Philadelphia, PA is $81,017.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,900.00 and $103,900.00 per year, depending on experience, location, and employer.

What is the difference between Remote Senior Flutter Developer vs Remote Flutter Developer?

AspectRemote Senior Flutter DeveloperRemote Flutter Developer
Required Experience5+ years, leadership skills1-3 years, technical skills
CertificationsOptional, but preferredOptional
Work EnvironmentCollaborates with teams, mentors juniorsFocuses on coding, feature development
ResponsibilitiesArchitects solutions, reviews codeDevelops app features, fixes bugs

The main difference between a Remote Senior Flutter Developer and a Remote Flutter Developer lies in experience, responsibilities, and leadership. Senior developers typically have more experience, take on mentorship roles, and handle complex architecture, while Flutter Developers focus on coding and feature implementation. Both roles are essential in mobile app development teams, but the senior position involves more strategic and leadership duties.

What are the most commonly searched types of Senior Flutter Developer jobs in Philadelphia, PA?

The most popular types of Senior Flutter Developer jobs in Philadelphia, PA are:

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For Remote Senior Flutter Developer jobs in Philadelphia, PA, the most frequently searched job titles are:

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Cities near Philadelphia, PA with the most Remote Senior Flutter Developer job openings:

Remote Senior Flutter Developer jobs near you

AI Agent Evaluation Engineer - Remote

YO AI Labs

Philadelphia, PA • 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.