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Edge Ai Machine Learning Jobs in Colorado (NOW HIRING)

Alignerr

Machine Learning Engineer

Denver, CO · Remote

$50 - $70/hr

Machine Learning Engineer - AI Data Trainer * Location: Remote About the job At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models.

SynergisticIT

AI & Machine Learning Engineer

Denver, CO

$117K - $141K/yr

... edge technologies. Being in the industry for more than 10 years, we provide a splendid range of ... If you're lured by the endless possibilities presented by AI, Machine Learning, IoT, and Data ...

DevIQ

Senior AI/Machine Learning Engineer

Denver, CO · On-site +1

$126K - $166K/yr

We're looking for a hands-on Senior AI/Machine Learning Engineer to design, build, and deploy AI and machine learning solutions that solve real business problems for our clients. This is a consulting ...

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DevIQ

Senior AI/Machine Learning Engineer

Denver, CO · On-site +1

$126K - $166K/yr

We're looking for a hands-on Senior AI/Machine Learning Engineer to design, build, and deploy AI and machine learning solutions that solve real business problems for our clients. This is a consulting ...

Alignerr

Senior Machine Learning Expert

Denver, CO · Remote

$89K - $110K/yr

Senior Machine Learning Expert (AI Training) About the Role What if your deep understanding of ... Work directly on cutting-edge AI projects alongside the world's leading research labs * Fully ...

Cymertek

Machine Learning Engineer

Aurora, CO · On-site

In this role, you will work with cutting-edge technologies to design, develop, and deploy machine ... SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence ...

Cymertek

Machine Learning Engineer

Aurora, CO · On-site

In this role, you will work with cutting-edge technologies to design, develop, and deploy machine ... SIMILAR CAREER TITLESData Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence ...

Cymertek

Machine Learning Engineer

Aurora, CO

In this role, you will work with cutting-edge technologies to design, develop, and deploy machine ... SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence ...

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Edge Ai Machine Learning information

What is an Edge AI Machine Learning job?

An Edge AI Machine Learning job involves developing and deploying machine learning models directly on edge devices, such as IoT sensors, mobile devices, and embedded systems. This role requires expertise in optimizing AI models for low-power, low-latency environments while ensuring real-time processing. Professionals in this field work with frameworks like TensorFlow Lite, ONNX, and OpenVINO to implement AI solutions efficiently. They must also handle challenges like model compression, hardware acceleration, and data privacy.

What are some typical challenges faced in an Edge AI Machine Learning role, and how can I prepare for them?

One of the most common challenges in Edge AI Machine Learning is optimizing models to run efficiently on hardware with limited resources, while maintaining acceptable accuracy and speed. You may encounter constraints related to memory, processing power, and connectivity, which require creative engineering and a deep understanding of both machine learning and embedded systems. Collaborating closely with hardware engineers, data scientists, and software developers is typical, as solutions often span multiple technical disciplines. To prepare, staying current with advancements in model compression, quantization, and edge deployment technologies will help you tackle these challenges with confidence.

What are the key skills and qualifications needed to thrive in the Edge Ai Machine Learning position, and why are they important?

To thrive as an Edge AI Machine Learning professional, you need a strong background in machine learning algorithms, embedded systems, and proficiency with programming languages such as Python or C++. Familiarity with edge computing platforms (like NVIDIA Jetson, Google Coral), frameworks (TensorFlow Lite, ONNX), and certifications in AI or ML can greatly enhance your qualifications. Strong problem-solving abilities, collaboration, and effective communication skills are important for adapting solutions to diverse environments and working cross-functionally. These abilities enable the successful deployment of efficient and robust AI models directly on devices, meeting the unique challenges of real-time, resource-constrained settings.

What are popular job titles related to Edge Ai Machine Learning jobs in Colorado? For Edge Ai Machine Learning jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Edge Ai Machine Learning jobs in Colorado look for? The top searched job categories for Edge Ai Machine Learning jobs in Colorado are:
What cities in Colorado are hiring for Edge Ai Machine Learning jobs? Cities in Colorado with the most Edge Ai Machine Learning job openings:
Edge Ai Machine Learning jobs near you
Infographic showing various Edge Ai Machine Learning job openings in Colorado as of June 2026, with employment types broken down into 27% Internship, and 73% Full Time. Highlights an 100% In-person job distribution.

Machine Learning Engineer

Alignerr

Denver, CO • Remote

$50 - $70/hr

Other

Posted 11 days ago

Job description

Machine Learning Engineer - AI Data Trainer
  • Location: Remote
About the job
At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models.
This initiative focuses on recording how an AI reasons and executes actions sequentially to handle practical assignments. Specialists draft precise, organized logs demonstrating strategizing, tool implementation, and choice-making, producing the data required to teach models to solve problems consistently in actual environments.
Organization
: Alignerr
Position
: Machine Learning Engineer - AI Data Trainer
Type
: Hourly Contract
Compensation
: $50-$70 /hour
Location
: Remote
Commitment
: 10-40 hours/week
What You'll Do:
  • Draft precise, organized logical logs for sophisticated technical challenges.
  • Record sequential strategizing and choice-making workflows.
  • Generate training datasets that illustrate proficient tool interaction for AI models.
Requirements:
  • Professional expertise in Machine Learning, Engineering, or a technical discipline.
  • Superb skill in explaining intricate logical processes and methodologies clearly.
  • Critical thinking skills to audit and refine AI-generated reasoning steps.
  • Master's Degree or PhD
Preferred
:
  • Prior experience with data annotation, data quality, or evaluation systems.
  • Master's Degree or PhD
Why Join Us:
  • Competitive pay and flexible remote work.
  • Collaborate with a team working on cutting-edge AI projects.
  • Exposure to advanced LLMs and how they're trained.
  • Freelance perks: autonomy, flexibility, and global collaboration.
  • Potential for contract extension.
Application Process (Takes 15-20 min)
  • Submit your resume
  • Complete a short screening
  • Project matching and onboarding

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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