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Mobile Remote Robotics Engineer information

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$10

$59

$92

How much do mobile remote robotics engineer jobs pay per hour?

As of May 28, 2026, the average hourly pay for mobile remote robotics engineer in Phoenix, AZ is $59.72, according to ZipRecruiter salary data. Most workers in this role earn between $45.34 and $77.79 per hour, depending on experience, location, and employer.

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

AspectMobile Remote Robotics EngineerRobotics Software Developer
Required CredentialsBachelor's in Robotics, Mechanical, or Electrical Engineering; experience with remote control systemsBachelor's in Computer Science or Robotics; programming certifications
Work EnvironmentFieldwork, remote locations, robotics labsOffice, remote, or lab-based software development
Employer & Industry UsageRobotics firms, manufacturing, defense, researchTech companies, startups, research institutions

The Mobile Remote Robotics Engineer focuses on designing and maintaining remotely operated mobile robots in field environments, requiring hands-on hardware skills. In contrast, the Robotics Software Developer primarily develops software algorithms for robots, often working in software labs. Both roles require a strong background in robotics and programming but differ in their work settings and specific responsibilities.

What are the most commonly searched types of Remote Robotics Engineer jobs in Phoenix, AZ? The most popular types of Remote Robotics Engineer jobs in Phoenix, AZ are:
What are popular job titles related to Mobile Remote Robotics Engineer jobs in Phoenix, AZ? For Mobile Remote Robotics Engineer jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Mobile Remote Robotics Engineer jobs in Phoenix, AZ look for? The top searched job categories for Mobile Remote Robotics Engineer jobs in Phoenix, AZ are:
Mobile Remote Robotics Engineer jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Scottsdale, AZ • Remote

Other

Posted 5 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply