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Remote Ai Robotics Jobs in Colorado (NOW HIRING)

Transform complex data formats into data-driven metrics, intelligent dashboards, and AI-enabled ... Remote work model #LI-REMOTE * Competitive benefits package and competitive total compensation * An ...

Practical experience with AI/ML models, Large Language Models (LLMs), and AIenabled workflow ... Remote work model #LI-REMOTE * Competitive benefits package and competitive total compensation * An ...

... robotic total station, data collectors) preferred but not required * Experience operating remote ... Demonstrates openness to innovation by embracing and applying evolving technology and AI tools to ...

Remote Ai Robotics information

What are some common challenges faced by professionals working in remote AI robotics roles, and how can they be addressed?

Professionals in remote AI robotics roles often face challenges such as effective communication with distributed teams, managing hardware remotely, and ensuring reliable data transmission between systems. Overcoming these challenges typically involves adopting robust collaboration tools, implementing clear documentation practices, and using remote monitoring software to manage and troubleshoot robotic systems. Regular virtual meetings and clear protocols also help maintain alignment and productivity, while ongoing training ensures team members stay updated on the latest technologies and best practices in both AI and robotics.

What is a remote AI robotics?

A Remote AI Robotics job involves working with artificial intelligence and robotics technologies from a remote location, rather than on-site. Professionals in this field design, develop, program, and manage robotic systems that use AI to perform tasks autonomously or semi-autonomously. These roles often require expertise in machine learning, computer vision, robotics engineering, and software development. Remote positions allow for collaboration with teams and clients across the globe, leveraging digital tools for communication and project management.

What is the difference between Remote Ai Robotics vs Remote Machine Learning Engineer?

AspectRemote Ai RoboticsRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in Robotics, AI, or related fields; experience with robotics platformsBachelor's or higher in Computer Science, AI, or related; strong programming skills in Python
Work EnvironmentHands-on with robotics hardware, simulation, and software developmentFocus on developing algorithms, models, and data analysis in software environments
Industry UsageRobotics companies, automation firms, research labsTech companies, startups, research institutions
Common Search/ComparisonRemote Ai Robotics vs Remote Machine Learning Engineer

Remote Ai Robotics involves working with physical robots and hardware integration, while Remote Machine Learning Engineers focus on developing algorithms and models in software. Both roles require strong programming skills and a background in AI, but they differ in their work environment and industry applications.

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

To thrive as a Remote AI Robotics Engineer, you need strong skills in robotics engineering, artificial intelligence, programming (such as Python or C++), and typically a degree in computer science, robotics, or a related field. Familiarity with robotics simulation tools (like ROS, Gazebo), machine learning frameworks (such as TensorFlow or PyTorch), and cloud-based collaboration platforms is essential. Excellent problem-solving abilities, effective communication, and self-motivation are important soft skills, especially when working remotely. These skills and qualities enable efficient development, troubleshooting, and innovation in building intelligent robotic systems from distributed locations.
What are the most commonly searched types of Ai Robotics jobs in Colorado? The most popular types of Ai Robotics jobs in Colorado are:
What cities in Colorado are hiring for Remote Ai Robotics jobs? Cities in Colorado with the most Remote Ai Robotics job openings:

Data Analyst

Averna

Denver, CO • On-site, Remote

Full-time

Medical, Life

This job post has expired today. Applications are no longer accepted.


Job description

Company Description
As of January 2026, Averna and Spherea joined forces to form the Spherea Group. A global Test & Quality Solution leader, Averna Powered by Spherea partners with product designers, developers and manufacturers to help them achieve higher product quality, accelerate time to market and protect their brands by covering and offering solutions and expertise for the entire product lifecycle.
Averna Powered by Spherea offers specialized expertise and innovative test, vision inspection, precision assembly and automated solutions that deliver substantial technical, financial and market benefits for clients in the aerospace, automotive, consumer electronics, defense, energy, industrials, medical devices & life sciences, semiconductor, telecom and transportation industries.
Their solutions include prototyping & consulting, precision assembly & production, automated test solutions, in-line test systems, test system replication, and test platforms & products. Averna Powered by Spherea's expertise ranges from vision systems, specialized battery test, RF & microwave and fiber optics to robotics & motion, instrumentation, control systems, and data management.
Job Description
Data Analyst
Role Summary
As a Data Analyst, you will support business decision-making by gathering, organizing, and interpreting information to identify trends, opportunities, and areas for improvement. You will collaborate with stakeholders across the organization to develop reports, dashboards, and solutions that provide visibility into key business activities and performance.
You will contribute to projects focused on process improvement, operational efficiency, and organizational effectiveness, helping teams leverage information and technology to achieve business goals and drive continuous improvement.
Responsibilities
  • Identify and solve ambiguous problems, transforming data into clear, actionable insights that directly influence leadership decisions.
  • Build data pipelines, reports, best practices, and frameworks that enable analysts and other stakeholders across the organization.
  • Transform complex data formats into data-driven metrics, intelligent dashboards, and AI-enabled applications.
  • Modernize manual workflows into scalable, automated, and insight-driven systems, leveraging statistical analysis, cloud data platforms, and AI technologies.

Qualifications
The ideal candidate in a few words
Required Qualifications
  • Bachelor's degree in Computer Science, Data Science, Data Analytics, Statistics, Mathematics, Engineering, a related technical field, or equivalent experience.
  • Advanced experience using analytics to solve engineering problems, performing statistical analysis, and coding (e.g. SQL, Python, R).
  • Proven experience creating dashboards, reports, and structured datasets to support business and engineering decisions.
  • Strong analytical, problem-solving, and statistical analysis skills.
  • Excellent verbal and written communication skills in English.

Preferred Qualifications
  • Experience with GCP specific analytics tools and data management.
  • Experience designing data pipelines (ETL) and model data.
  • Practical experience with AI/ML models, Large Language Models (LLMs), and AI-enabled workflow automation.
  • Strong experience managing stakeholder expectations and presenting solutions.

Additional Information
What's in It for You
  • Learn and grow through multiple cutting-edge projects
  • Remote work model #LI-REMOTE
  • Competitive benefits package and competitive total compensation
  • An additional day off for your birthday
  • Flex days paid between Christmas and New year's
  • Be part of a company that puts ESG at the heart of its mission, for people, planet, and performance.

Averna is committed to employment equity and to encouraging diversity and inclusion. We are pleased to consider all qualified applicants for employment, regardless of race, color, religion, sexual orientation, gender, national origin, age, disability, veteran status, or any other legally protected status.
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