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Remote Machine Learning Robotics Jobs in Mesa, AZ

Phoenix Staff

Lead Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

Phoenix, AZ (hybrid remote) Type: 6-month contract to hire Pay: $50-60/hr We're looking for a Lead ... machine learning models that improve cost, quality, and patient outcomes. Your role · Design ...

Ascend Learning

Principal AI Engineer

Gilbert, AZ · On-site +1

... remote workers in cities across the U.S., Ascend Learning was recognized by Newsweek and Plant-A ... Advanced understanding and practical experience in machine learning and natural language processing ...

Enova International

Be Seen First

Customer Service Representative (Remote)

Phoenix, AZ · Remote

$17/hr

This role is entirely remote; however, candidates must reside in the state of Illinois, Indiana ... machine learning-powered ColossusTMplatform. We serve non-prime consumers and businesses alike ...

micro1 AI

Domain Expert - (STEM PhD)

Phoenix, AZ · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

micro1 AI

Engineering AI Evaluator (PhD)

Mesa, AZ · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

micro1 AI

Domain Expert - (STEM PhD)

Mesa, AZ · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

micro1 AI

Engineering AI Evaluator (PhD)

Phoenix, AZ · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

micro1 AI

LLM Alignment Specialist - Engineering

Mesa, AZ · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Dutch Bros LLC

Lead Engineer, Data Platforms

Tempe, AZ · On-site +1

$111K - $133K/yr

... machine learning, and AI-driven workflows and will be responsible for designing and implementing ... Location Requirement: This position is eligible for remote work within any state Dutch Bros ...

USAA

Data Scientist Senior

Phoenix, AZ · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... The Opportunity As a Senior Data Scientist, you will leverage advanced analytics, machine learning ...

Prosper

Fraud Specialist

Phoenix, AZ · On-site +1

$22.50/hr

Monitor and utilize AI fraud detection tools, machine learning model scores, and alert systems to ... Whether you are working from our San Francisco or Phoenix offices or joining us as a fully remote ...

Prosper

Fraud Specialist

Phoenix, AZ · On-site +1

$22.50/hr

Monitor and utilize AI fraud detection tools, machine learning model scores, and alert systems to ... Whether you are working from our San Francisco or Phoenix offices or joining us as a fully remote ...

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All JobsMachine Learning Robotics JobsRemote Machine Learning Robotics JobsRemote Machine Learning Robotics Jobs in Mesa, AZ

Remote Machine Learning Robotics information

See Mesa, AZ salary details

$32.2K

$63.3K

$98.7K

How much do remote machine learning robotics jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote machine learning robotics in Mesa, AZ is $63,277.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,600.00 and $74,400.00 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?

AspectRemote Machine Learning RoboticsRemote Data Scientist
Required CredentialsDegree in Robotics, Computer Science, or related fields; experience with ML algorithms and robotics platformsDegree in Data Science, Statistics, or related fields; proficiency in ML, statistics, and programming
Work EnvironmentHands-on with robotics hardware, simulation environments, and software developmentData analysis, modeling, and visualization primarily on software platforms
Employer & Industry UsageRobotics companies, manufacturing, autonomous vehicles, research labsTech 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.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Robotics Engineer, and why are they important?

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 are popular job titles related to Remote Machine Learning Robotics jobs in Mesa, AZ? For Remote Machine Learning Robotics jobs in Mesa, AZ, the most frequently searched job titles are:
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What cities near Mesa, AZ are hiring for Remote Machine Learning Robotics jobs? Cities near Mesa, AZ with the most Remote Machine Learning Robotics job openings:
Remote Machine Learning Robotics jobs near you
Senior Director, Responsible AI for Assessment (Remote)

Senior Director, Responsible AI for Assessment (Remote)

Educational Testing Service

Phoenix, AZ • Remote

Full-time

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

Job description

A global assessment organization is seeking a Senior Director for its Center for Responsible AI in Learning and Assessment. This leadership role involves shaping a research agenda centered on AI applications in measurement, ensuring validity, and producing impactful research. The ideal candidate will have a Ph.D. and a strong track record in AI, machine learning, and assessment. Responsibilities include leading research initiatives, fostering collaboration, and driving innovation to enhance educational outcomes. #J-18808-Ljbffr

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