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Hourly Remote Robotics Engineer Jobs in Arizona (NOW HIRING)

Software Engineer

Phoenix, AZ · Remote

$110K - $135K/yr

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

Agentic Software Engineer III (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 ...

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Hourly Remote Robotics Engineer information

What is the difference between Hourly Remote Robotics Engineer vs Hourly Remote Mechanical Engineer?

AspectHourly Remote Robotics EngineerHourly Remote Mechanical Engineer
Required CredentialsBachelor's in Robotics, Mechanical, or Electrical Engineering; certifications in robotics or automationBachelor's in Mechanical Engineering; certifications in CAD, design, or manufacturing
Work EnvironmentRemote, project-based, collaborative with software and hardware teamsRemote or on-site, focused on design, analysis, and testing of mechanical systems
Industry UsageRobotics companies, automation firms, research labsManufacturing, product design, engineering consulting

Hourly Remote Robotics Engineers focus on designing and developing robotic systems, often combining hardware and software skills. Mechanical Engineers work on mechanical design, analysis, and testing, primarily in manufacturing or product development. Both roles may work remotely and require engineering credentials, but their core responsibilities and industry applications differ.

What are the most commonly searched types of Remote Robotics Engineer jobs in Arizona?

The most popular types of Remote Robotics Engineer jobs in Arizona are:

AI Software Engineer Expert - Remote

Phoenix, AZ • Remote

$100 - $200/hr

Part-time

Posted 14 days ago


Job description

Job Title: AI Software Engineering Domain Remote

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Software Engineering Domain Experts to contribute their technical expertise to an innovative project focused on improving next-generation AI systems. In this role, you will evaluate, review, and refine AI-generated software engineering content to enhance the quality, accuracy, and reasoning of AI models. No prior AI experience is required—your software engineering expertise is what matters most.

Key Responsibilities
  • Analyze, review, and improve AI-generated software engineering content for technical accuracy and clarity.
  • Create, refine, and evaluate prompts to improve AI-generated technical outputs.
  • Conduct rubric-based evaluations of AI model responses, providing detailed quality feedback.
  • Draft and edit technical documentation, architecture documents, RFCs, design specifications, and engineering proposals.
  • Perform independent research and fact-checking to validate technical information.
  • Interpret and annotate technical data to support AI model training and evaluation.
  • Collaborate remotely with cross-functional teams to deliver high-quality project outcomes.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Quality Assurance
  • Prompt Engineering
  • AI Output Evaluation
  • Technical Documentation
  • Technical & Professional Writing
  • Content Review & Editing
  • Data Annotation
  • Fact Checking
  • Independent Research
  • Business Communication
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of professional experience as a Software Engineer, Senior Software Engineer, Staff Engineer, Technical Lead, Engineering Manager, Solutions Architect, or similar role.
  • Experience authoring or reviewing technical documentation, architecture documents, RFCs, design specifications, engineering proposals, postmortems, technical blogs, or code reviews.
  • Strong critical thinking, analytical reasoning, and structured problem-solving skills.
  • Excellent written communication and technical editing abilities.
  • Experience with AI coding tools or automated documentation tools is a plus but not required.
  • Advanced degree (Master's, MBA, JD, or PhD) or equivalent professional experience is preferred.