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Remote Optimization Engineer Jobs in Phoenix, AZ

AI Trainer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Design tasks involving bug fixing, feature development, refactoring, and performance optimization

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Design tasks involving bug fixing, feature development, refactoring, and performance optimization

Senior Java Engineer (Remote)

Phoenix, AZ · Remote

$119K - $157K/yr

... the optimal technology solution to achieve the desired business needs, day to day application ... As a Sr. Software Engineer, primary responsibility will be towards the development and support of ...

Remote Job Summary: Join our team as a Senior Database Reliability Engineer, where you'll play a central role in architecting, optimizing, and ensuring the stability of mission-critical PostgreSQL ...

Showing results 21-40

Remote Optimization Engineer information

See Phoenix, AZ salary details

$40

$59

$81

How much do remote optimization engineer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for remote optimization engineer in Phoenix, AZ is $59.22, according to ZipRecruiter salary data. Most workers in this role earn between $42.98 and $73.03 per hour, depending on experience, location, and employer.

What are the most commonly searched types of Optimization Engineer jobs in Phoenix, AZ?

The most popular types of Optimization Engineer jobs in Phoenix, AZ are:

Infographic showing various Remote Optimization Engineer job openings in Phoenix, AZ as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $123,187 per year, or $59.2 per hour.

SWE AI Training Data Expert - Remote

YO AI Labs

Phoenix, AZ • 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.