Familiarity with AI systems, natural language processing tools, or machine learning products ... REMOTE
Familiarity with AI systems, natural language processing tools, or machine learning products ... REMOTE
L1 Troubleshooter Madrid
Crouse, NC · On-site +1
U. > Service > Global Service Operations > Remote Operations Center EMEA As a Remote Operations ... You will use advanced SCADA and SAP tools to diagnose why a multi-million euro machine has stopped.
L1 Troubleshooter Madrid
Crouse, NC · On-site +1
U. > Service > Global Service Operations > Remote Operations Center EMEA As a Remote Operations ... You will use advanced SCADA and SAP tools to diagnose why a multi-million euro machine has stopped.
Remote Machine Learning Robotics information
See Shelby, NC salary details
$30.8K - $36.6K
6% of jobs
$36.6K - $42.4K
11% of jobs
$45.2K is the 25th percentile. Wages below this are outliers.
$42.4K - $48.1K
16% of jobs
$48.1K - $53.9K
15% of jobs
The median wage is $54.8K / yr.
$53.9K - $59.7K
11% of jobs
$59.7K - $65.5K
8% of jobs
$70.4K is the 75th percentile. Wages above this are outliers.
$65.5K - $71.2K
10% of jobs
$71.2K - $77K
9% of jobs
$77K - $82.8K
5% of jobs
$82.8K - $88.6K
5% of jobs
$88.6K - $94.3K
4% of jobs
$30.8K
$60.5K
$94.3K
How much do remote machine learning robotics jobs pay per year?
As of Aug 6, 2026, the average yearly pay for remote machine learning robotics in Shelby, NC is $60,465.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,500.00 and $71,100.00 per year, depending on experience, location, and employer.
What is a remote machine learning robotics job?
A Remote Machine Learning Robotics job involves developing and implementing machine learning algorithms to control and improve robotic systems, all while working from a remote location. Professionals in this field use artificial intelligence techniques to enable robots to learn from data and adapt to new tasks. They collaborate with teams virtually, leveraging cloud-based tools and simulation environments to design, test, and deploy robotic solutions. This role typically requires strong programming skills, knowledge of robotics frameworks, and experience with machine learning models.
What is the difference between Remote Machine Learning Robotics vs Remote Data Scientist?
| Aspect | Remote Machine Learning Robotics | Remote Data Scientist |
|---|---|---|
| Required Credentials | Degree in Robotics, Computer Science, or related fields; experience with ML algorithms and robotics platforms | Degree in Data Science, Statistics, or related fields; proficiency in ML, statistics, and programming |
| Work Environment | Hands-on with robotics hardware, simulation environments, and software development | Data analysis, modeling, and visualization primarily on software platforms |
| Employer & Industry Usage | Robotics companies, manufacturing, autonomous vehicles, research labs | Tech firms, finance, healthcare, research institutions |
Remote Machine Learning Robotics focuses on developing intelligent systems that integrate robotics hardware with machine learning algorithms, often requiring hands-on hardware work. In contrast, Remote Data Scientists primarily analyze data and build models using software tools. Both roles involve ML expertise but differ in work environment and industry applications.
How do remote machine learning robotics professionals typically collaborate with hardware teams when working off-site?
Remote machine learning robotics professionals often collaborate closely with hardware teams through regular virtual meetings, shared documentation, and cloud-based development environments. They use simulation tools to test algorithms before deployment and rely on video calls or live streams to observe hardware tests in real time. Effective communication and detailed feedback are essential to ensure that software and hardware integration runs smoothly, despite working from different locations. This collaborative approach helps address issues quickly and keeps projects on track.
Can a remote machine learning robotics engineer work remotely?
Yes, remote machine learning robotics engineers can work remotely, especially if their role involves software development, data analysis, and algorithm design. Many companies support remote work for these positions, often requiring proficiency with collaboration tools and cloud-based platforms. However, some tasks involving hardware or on-site testing may require physical presence.
What are the key skills and qualifications needed to thrive as a remote machine learning robotics engineer?
To thrive as a Remote Machine Learning Robotics Engineer, you need a solid background in robotics, machine learning algorithms, programming (Python, C++), and typically a degree in computer science, robotics, or a related field. Familiarity with robotics frameworks (like ROS), machine learning libraries (such as TensorFlow or PyTorch), and experience with cloud platforms or remote collaboration tools are highly valued. Strong problem-solving abilities, initiative, and effective remote communication skills help you excel in distributed teams. These competencies enable you to develop intelligent robotic systems efficiently, collaborate across locations, and drive innovation in a rapidly evolving field.
What job categories do people searching Remote Machine Learning Robotics jobs in Shelby, NC look for? The top searched job categories for Remote Machine Learning Robotics jobs in Shelby, NC are:
Circana rating
6.1
Based on 10 frontline employees who took The Breakroom Quiz
70th of 73 rated research
Job description
At Circana, we are fueled by our passion for continuous learning and growth, we seek and share feedback freely, and we celebrate victories both big and small in an environment that is flexible and accommodating to our work and personal lives. We have a global commitment to diversity, equity, and inclusion as we believe in the undeniable strength that diversity brings to our business, employees, clients, and communities. With us, you can always bring your full self to work. Join our inclusive, committed team to be a challenger, own outcomes, and stay curious together. Circana is proud to be Certified™ by Great Place To Work®. This prestigious award is based entirely on what current employees say about their experience working at Circana.
Learn more at www.circana.com.
What will you be doing?
We are seeking a user-focused, detail-oriented, resourceful individual to support the ongoing success of Emiri client deployments. This role bridges product support, user experience, and development by investigating issues, coordinating resolutions, coaching commercial teams, and managing communication between users, client service teams, and product development.
Job Responsibilities
- Apply a voice of customer lens to user feedback and issues to surface enhancement opportunities and influence the product roadmap
- Own issue root cause identification and resolution to triage root causes between feature enhancements, system bugs, and user education
- Coach commercial teams on the configuration and functionality of Liquid AI; support key client meetings and demos
- Support setup, configuration, and QA of client models
- Drive continuous improvement of support processes, tools and user education materials
- Clearly communicate guidance and resolutions to users or internal teams
- Test new enhancements or fixes prior to release to ensure quality and expected behaviour
- Prepare concise write-ups of confirmed bugs or feature requests for the development team
Requirements
- Familiarity with Circana tools, including Unify+, model/report building, and ideally Emiri
- Background in product or client support, operations, or troubleshooting technical issues, ideally with a focus on data-driven AI tools
- Analytical and problem-solving skills, with the ability to investigate user reports, logs, and system behaviour to identify root causes
- Strong organizational skills to support multiple client deployments and maintain flawless on-time delivery and service levels
- Strong communication abilities, especially in simplifying technical concepts for non-technical users and collaborating across teams
- Tech-curious mindset, comfortable learning prompt engineering and system behaviour, with a process-driven approach to managing issues, QA, and feedback loops
- Familiarity with AI systems, natural language processing tools, or machine learning products
- Experience using tools like Jira, Confluence, or similar issue tracking and documentation systems
- 7+ years of experience in client support for data analytics and reporting
Circana Behaviours
As well as the technical skills, experience and attributes that are required for the role, our shared behaviours sit at the core of our organization. Therefore, we always look for people who can continuously champion these behaviour's throughout the business within their day-to-day role:
- Stay Curious: Being hungry to learn and grow, always asking the big questions.
- Seek Clarity: Embracing complexity to create clarity and inspire action.
- Own the Outcome: Being accountable for decisions and taking ownership of our choices.
- Center on the Client: Relentlessly adding value for our customers.
- Be a Challenger: Never complacent, always striving for continuous improvement.
- Champion Inclusivity: Fostering trust in relationships engaging with empathy, respect, and integrity.
Commit to each other: Contributing to making Circana a great place to work for everyone
#LI-REMOTE
About Circana
Sourced by ZipRecruiter
Industry
Marketing research
Company size
5,001 - 10,000 Employees
Headquarters location
Chicago, IL, US
Year founded
2023