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Remote Ai Robotics Engineer Jobs in Phoenix, AZ (NOW HIRING)

YO AI Labs

AI Technical Trainer - 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 ...

YO AI Labs

RL Environment Engineer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... No prior AI experience is required. Key Responsibilities * Create reinforcement learning ...

YO AI Labs

CUDA Software Engineer - Remote

Phoenix, AZ · Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... No prior AI experience is required. Key Responsibilities * Analyze, profile, and optimize GPU ...

YO AI Labs

DevOps Engineer - Remote

Phoenix, AZ · Remote

$50 - $150/hr

Remote Job Overview We are seeking experienced DevOps Engineers to create and evaluate production ... No prior AI experience is required--your DevOps expertise and engineering judgment are what matter ...

YO AI Labs

GPU Programmer - Remote

Phoenix, AZ · Remote

$60 - $85/hr

Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU ...

YO AI Labs

AI Data Scientist Expert - Remote

Phoenix, AZ · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

YO AI Labs

CUDA Engineering Expert - Remote

Phoenix, AZ · Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... No prior AI experience is required. Key Responsibilities * Analyze, profile, and optimize GPU ...

YO AI Labs

Backend Developer - 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 ...

YO AI Labs

AI Data Science Expert - Remote

Phoenix, AZ · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

YO AI Labs

DevOps Expert - Remote

Phoenix, AZ · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows ...

YO AI Labs

Frontend Developer - 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 ...

YO AI Labs

CUDA Developer - Remote

Phoenix, AZ · Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... No prior AI experience is required. Key Responsibilities * Analyze, profile, and optimize GPU ...

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Showing results 21-40

All JobsAi Robotics Engineer JobsRemote Ai Robotics Engineer JobsRemote Ai Robotics Engineer Jobs in Phoenix, AZ

Remote Ai Robotics Engineer information

See Phoenix, AZ salary details

$28.8K

$104.9K

$167.8K

How much do remote ai robotics engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote ai robotics engineer in Phoenix, AZ is $104,856.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,900.00 and $126,100.00 per year, depending on experience, location, and employer.

What is the difference between Remote Ai Robotics Engineer vs Remote Robotics Software Developer?

AspectRemote Ai Robotics EngineerRemote Robotics Software Developer
Required CredentialsBachelor's/Master's in Robotics, AI, Computer Science; relevant certificationsBachelor's/Master's in Robotics, Computer Science; relevant certifications
Work EnvironmentRemote, collaborative teams, R&D labsRemote, software development teams, R&D labs
Industry UsageAI integration in robotics, automationRobotics software development, automation systems
Common Search IntentAI-focused robotics roles, automation projectsRobotics software development, programming

The Remote Ai Robotics Engineer and Remote Robotics Software Developer roles share similar credentials and work environments, often overlapping in AI and robotics industries. However, the AI Robotics Engineer emphasizes integrating AI into robotics systems, while the Robotics Software Developer focuses more on programming and developing robotics software solutions.

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

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

What are popular job titles related to Remote Ai Robotics Engineer jobs in Phoenix, AZ?

For Remote Ai Robotics Engineer jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Remote Ai Robotics Engineer jobs in Phoenix, AZ look for?

The top searched job categories for Remote Ai Robotics Engineer jobs in Phoenix, AZ are:

Remote Ai Robotics Engineer jobs near you
Infographic showing various Remote Ai Robotics Engineer job openings in Phoenix, AZ as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $104,856 per year, or $50.4 per hour.

AI Technical Trainer - Remote

YO AI Labs

Phoenix, AZ • Remote

$80 - $120/hr

Full-time

Posted 6 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.