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Remote Space Robotics Jobs (NOW HIRING)

Morgan Dar

Oral Surgeon

Milwaukee, WI · Remote

$1.7K - $2.6K/day

... remote mentorship, and a top-tier support team. Key Practice Highlights & Financial Performance ... The practice boasts advanced surgical technology, including pioneering robotic implant dentistry ...

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$84K

$96K

$116.5K

How much do remote space robotics jobs pay per year?

As of Sep 12, 2026, the average yearly pay for remote space robotics in the United States is $96,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $102,000.00 per year, depending on experience, location, and employer.

What is remote space robotics?

Remote space robotics refers to the design, operation, and control of robotic systems that are used in space environments and are operated from a distance, often from Earth or an orbiting spacecraft. These robots perform tasks such as satellite servicing, planetary exploration, and maintenance of space stations. They are essential for missions in environments that are too dangerous or inaccessible for humans. Operators use sophisticated controls, cameras, and sometimes artificial intelligence to guide these robots and complete complex missions. Careers in this field often require knowledge of robotics, aerospace engineering, and remote sensing technologies.

What are the key skills and qualifications needed to thrive as a remote space robotics engineer?

To thrive as a Remote Space Robotics Engineer, you need a solid background in robotics, mechanical or electrical engineering, and experience with space systems, often supported by a relevant degree. Familiarity with programming languages (such as C++ or Python), robotic simulation software, and space communication protocols is typically required. Strong problem-solving, teamwork, and adaptability skills are crucial for addressing unexpected challenges in remote and high-stakes environments. These skills ensure reliable robot operation, mission success, and effective collaboration across multidisciplinary teams in the demanding field of space exploration.

What are some common challenges faced by professionals working in remote space robotics, and how can they be managed?

Professionals in remote space robotics often encounter challenges such as communication delays, limited real-time feedback, and operating in unpredictable environments. These issues require strong problem-solving skills, meticulous planning, and the ability to adapt quickly to new data from space missions. Collaboration with multidisciplinary teams—including software engineers, systems engineers, and mission controllers—is essential to develop robust solutions and ensure mission success. Staying up-to-date with the latest advancements in robotics and autonomous systems can also help manage these complexities effectively.
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Remote Space Robotics jobs near you
Infographic showing various Remote Space Robotics job openings in the United States as of September 2026, with employment types broken down into 82% Full Time, 14% Part Time, and 4% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $96,000 per year, or $46.2 per hour.

Generative AI Automation Engineer - Remote Job

Lansing, MI • Remote

EnthuZiastic
E-Learning • 11 - 50 employees
Learn more about EnthuZiasticexternal

Full-time

Re-posted 23 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