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Remote Full Stack Machine Learning Engineer Jobs in Colorado

Machine Learning Engineer

Denver, CO ยท Remote

$50 - $70/hr

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 ...

Machine Learning Engineer

Colorado Springs, CO ยท On-site +1

$100K - $160K/yr

We are pleased to announce an opening for a Machine Learning Engineer who will join our team in ... Work in Linux-based, containerized development environments using VS Code Dev Containers, Remote ...

$228K - $253K/yr

Remote options are available for the following states - AZ, AR, CA, FL, GA, IL, IN, IA, KS, MD, MA ... machine learning initiatives. * Mentor ML Engineers and Data Scientists, fostering a culture of ...

Principal Machine Learning Engineer

Denver, CO ยท On-site +1

$228K - $253K/yr

Remote options are available for the following states - AZ, AR, CA, FL, GA, IL, IN, IA, KS, MD, MA ... machine learning initiatives. * Mentor ML Engineers and Data Scientists, fostering a culture of ...

Staff Machine Learning Engineer

Denver, CO ยท On-site +1

$206K - $230K/yr

Remote options are available for the following states - AZ, AR, CA, FL, GA, IL, IN, IA, KS, MD, MA ... machine learning initiatives. * Mentor ML Engineers and Data Scientists, fostering a culture of ...

Senior Machine Learning Engineer I // II

Denver, CO ยท On-site +1

$107K - $147K/yr

... Stack: Proficiency in Python , SQL, key ML libraries, and Spark * Mindset: A strong outcome ... learning. #LI-Remote Benefits in our US offices: * Discretionary Time Off Policy (Unlimited ...

Senior AI/Machine Learning Engineer

Denver, CO ยท On-site +1

$126K - $166K/yr

We're looking for a hands-on Senior AI/Machine Learning Engineer to design, build, and deploy AI ... Strong Python and the modern ML stack (PyTorch or TensorFlow, scikit-learn), plus solid SQL.

Senior AI/Machine Learning Engineer

Denver, CO ยท On-site +1

$126K - $166K/yr

We're looking for a hands-on Senior AI/Machine Learning Engineer to design, build, and deploy AI ... Strong Python and the modern ML stack (PyTorch or TensorFlow, scikit-learn), plus solid SQL.

Remote (Eastern or Central Time Zones) | Open to US & Canada Candidates. *100% Remote* Position Overview As a Full-Stack Developer , you will be responsible for designing, developing, and maintaining ...

... stack. You will architect where it matters (assembling high-performance services, designing ... The environment is startup-minded with CI/CD and full end-to-end ownership. Developers own setup ...

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Remote Full Stack Machine Learning Engineer information

What is a Remote Full Stack Machine Learning Engineer?

A Remote Full Stack Machine Learning Engineer is a professional who designs, develops, and deploys machine learning solutions while working remotely. They handle both the front-end and back-end aspects of machine learning projects, including data preprocessing, model building, API development, and integration with user interfaces or cloud platforms. This role requires expertise in programming, machine learning frameworks, cloud services, and web technologies, allowing them to build end-to-end AI-driven applications from anywhere in the world.

What are some common challenges faced by remote Full Stack Machine Learning Engineers, and how can they be addressed?

Remote Full Stack Machine Learning Engineers often encounter challenges such as managing effective collaboration with cross-functional teams and ensuring smooth deployment of machine learning models into production environments. To address these, it's important to establish clear communication channels, regularly participate in virtual stand-ups, and use collaborative platforms such as GitHub and Slack. Additionally, staying organized with version control and thorough documentation helps maintain project transparency and ensures seamless handoffs between backend and frontend development. Proactively seeking feedback and scheduling regular check-ins with team members can further enhance productivity and integration within the team.

What is the difference between Remote Full Stack Machine Learning Engineer vs Remote Data Scientist?

AspectRemote Full Stack Machine Learning EngineerRemote Data Scientist
Primary FocusDeveloping end-to-end machine learning applications, including backend, frontend, and model deploymentAnalyzing data, creating models, and generating insights without necessarily building full applications
Skills RequiredProgramming (Python, JavaScript), ML frameworks, web development, deployment toolsStatistics, data analysis, visualization, Python/R, SQL
Work EnvironmentCollaborates with developers, data engineers, and product teams in tech-driven companiesWorks with data teams, analysts, and business units in various industries

While both roles involve working with data and machine learning, a Remote Full Stack Machine Learning Engineer builds complete applications with integrated ML models, whereas a Remote Data Scientist focuses on data analysis and model creation without necessarily developing full applications.

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

To thrive as a Remote Full Stack Machine Learning Engineer, you need proficiency in programming languages (such as Python or JavaScript), a solid understanding of machine learning algorithms, experience with web development frameworks, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Docker, cloud computing platforms (AWS, GCP), and version control systems (Git) is essential. Strong problem-solving skills, self-motivation, and clear communication are crucial soft skills, especially in remote and cross-functional team environments. These combined skills ensure effective design, deployment, and integration of machine learning solutions in scalable web applications while maintaining productivity in a remote setting.
What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Colorado? The most popular types of Full Stack Machine Learning Engineer jobs in Colorado are:
What are popular job titles related to Remote Full Stack Machine Learning Engineer jobs in Colorado? For Remote Full Stack Machine Learning Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Full Stack Machine Learning Engineer jobs in Colorado look for? The top searched job categories for Remote Full Stack Machine Learning Engineer jobs in Colorado are:
What cities in Colorado are hiring for Remote Full Stack Machine Learning Engineer jobs? Cities in Colorado with the most Remote Full Stack Machine Learning Engineer job openings:
Infographic showing various Remote Full Stack Machine Learning Engineer job openings in Colorado as of June 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Machine Learning Engineer

Alignerr

Denver, CO โ€ข Remote

$50 - $70/hr

Other

Posted 15 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.