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Director Remote Software Engineer Jobs in California

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 ...

Software Engineer

Los Angeles, CA · Remote

$105K - $130K/yr

This is a remote position. We are seeking a talented Software Engineer to join our engineering team and help design, build, and support modern, scalable software solutions. This role is ideal for a ...

Remote available for exceptional candidates * Relocation and visa sponsorship available Why Join ... Direct access to experienced founders This is a strong fit for an engineer who wants to solve ...

Remote available for exceptional candidates * Relocation and visa sponsorship available Why Join ... Direct access to experienced founders This is a strong fit for an engineer who wants to solve ...

Remote Job Type: Full-Time Remote Employment: Remote Optional Job Number: 00943 Department: Development Opening Date: 08/20/2026 About Job Title: Sr. Software Engineer Duties: The Sr. Software ...

Showing results 21-40

Director Remote Software Engineer information

How much do director remote software engineers make?

Director remote software engineers typically earn between $130,000 and $200,000 annually, depending on experience, industry, and company size. They often oversee teams, set technical strategy, and require strong leadership and technical skills, with some roles offering additional bonuses or stock options.

What are the most commonly searched types of Remote Software Engineer jobs in California?

The most popular types of Remote Software Engineer jobs in California are:

What cities in California are hiring for Director Remote Software Engineer jobs?

Cities in California with the most Director Remote Software Engineer job openings:

AI/ML Software Engineer - Remote

YO AI Labs

Palo Alto, CA • Remote

$80 - $120/hr

Full-time

Posted 8 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.