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Remote Pwc Software Engineer Jobs in Arizona (NOW HIRING)

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 ...

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

Phoenix, AZ · Remote

$110K - $135K/yr

Other Employee Perks Job Type: * Full-Time * Remote Compensation: * $110k - $135k DOE Required ... Software Design Engineering Communication $ 110,000.00 - 135,000.00 (US Dollar) Package Details:

Senior Software Engineer (Remote)

Phoenix, AZ · Remote

$121K - $160K/yr

This is a remote role anywhere in the USA. Meet the Team Our software engineering team develops software using Cisco's Design Thinking Principles, with simplification and Security at its core. We use ...

Software Engineer

Glendale, AZ · On-site +1

$160K - $190K/yr

Software Engineer III (Coordinator of Code) $160k - $190k / year Fully remote Description RTA is an AI-forward company, and we mean it in the boring, practical way: our engineers use AI tooling every ...

AI Engineer - Remote

Phoenix, AZ · 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 ...

Senior Software Engineer

Scottsdale, AZ · Remote

$137K - $257K/yr

Senior Software Engineer (Remote) arrivia Remote (US) Full-time About arrivia arrivia specializes in making brands better through the power of travel. The company is a merger of three powerhouse ...

Epiq is seeking a highly skilled AI Software Engineer to join our Operations Engineering team. This ... LI-Remote The Compensation range for this role is 100,000 to 110,000 USD annually and may be ...

Senior Software Engineer

Phoenix, AZ · Remote

$121K - $160K/yr

... remote data via SOAP, REST and JSON * 4+ years of experience in software development, with a focus ... , DevOps concepts Desired Qualifications: * Excellent verbal, written, and interpersonal ...

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Remote Pwc Software Engineer information

What is the difference between Remote Pwc Software Engineer vs Remote Deloitte Software Engineer?

AspectRemote Pwc Software EngineerRemote Deloitte Software Engineer
Required CredentialsBachelor's in CS or related field, coding skills, possibly certifications like AWS or ScrumBachelor's in CS or related field, coding skills, certifications like AWS or Scrum
Work EnvironmentRemote, client-facing or internal projects, collaborative teamsRemote, client-facing or internal projects, collaborative teams
Employer & Industry UsagePwC consulting, finance, and professional services
Common Search & ComparisonYes

The comparison shows that Remote Pwc Software Engineers and Remote Deloitte Software Engineers share similar credentials, work environments, and industry usage. Both roles typically require a bachelor's degree, coding skills, and certifications like AWS or Scrum. They operate remotely within consulting and professional services sectors, often working on client projects. The main differences are related to specific company projects and client bases, but overall, they are comparable roles in the consulting software engineering field.

What are the most commonly searched types of Pwc Software Engineer jobs in Arizona?

The most popular types of Pwc Software Engineer jobs in Arizona are:

What cities in Arizona are hiring for Remote Pwc Software Engineer jobs?

Cities in Arizona with the most Remote Pwc Software Engineer job openings:

AI Software Engineer - 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.