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Remote Ts Sci 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 ...

New

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 ...

New

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 ...

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 ...

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 ...

New

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 ...

New

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 Ts Sci Software Engineer information

What is the difference between Remote Ts Sci Software Engineer vs Remote Python Developer?

AspectRemote Ts Sci Software EngineerRemote Python Developer
Required CredentialsBachelor's in Computer Science, experience with TypeScript and scientific computingBachelor's in Computer Science or related, proficiency in Python
Work EnvironmentRemote, collaborative teams in scientific or tech industriesRemote, often in software development teams across various sectors
Industry UsageTech, scientific research, data analysisWeb development, data science, automation
Common Search/ComparisonYesNo

The Remote Ts Sci Software Engineer typically focuses on scientific computing using TypeScript, requiring specific technical skills and industry experience. In contrast, a Remote Python Developer specializes in Python programming across various sectors. While both roles are remote and involve software development, their core technologies and industry applications differ, making this comparison useful for job seekers evaluating similar roles.

What are popular job titles related to Remote Ts Sci Software Engineer jobs in Arizona?

For Remote Ts Sci Software Engineer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Remote Ts Sci Software Engineer jobs in Arizona look for?

The top searched job categories for Remote Ts Sci Software Engineer jobs in Arizona are:

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

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

AI Software Engineer - Remote

Phoenix, AZ • Remote

$80 - $120/hr

Full-time

Posted 3 days ago

New


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.