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Machine Learning Intern Remote Jobs in Colorado (NOW HIRING)

Alignerr

Machine Learning Engineer

Denver, CO · Remote

$50 - $70/hr

Remote About the job At Alignerr, we partner with the world's leading AI research teams and labs to ... Machine Learning Engineer - AI Data Trainer Type : Hourly Contract Compensation : $50-$70 /hour ...

nou Systems

Machine Learning Engineer

Colorado Springs, CO · On-site +1

$100K - $160K/yr

Work in Linux-based, containerized development environments using VS Code Dev Containers, Remote ... in machine learning, data science, or backend software development. * Hands-on experience ...

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 ... Remote * Commitment : 10-40 hours/week What You'll Do * Author complex, high-fidelity reasoning ...

Ibotta

Principal Machine Learning Engineer

Denver, CO · On-site +1

$228K - $253K/yr

Ibotta is seeking a Principal Machine Learning Engineer to join our Core Data & Analytics team and ... Remote options are available for the following states - AZ, AR, CA, FL, GA, IL, IN, IA, KS, MD, MA ...

Ibotta

$228K - $253K/yr

Ibotta is seeking a Principal Machine Learning Engineer to join our Core Data & Analytics team and ... Remote options are available for the following states - AZ, AR, CA, FL, GA, IL, IN, IA, KS, MD, MA ...

Ibotta

Staff Machine Learning Engineer

Denver, CO · On-site +1

$206K - $230K/yr

Ibotta is seeking a Staff Machine Learning Engineer to join our Core Data & Analytics team and ... Remote options are available for the following states - AZ, AR, CA, FL, GA, IL, IN, IA, KS, MD, MA ...

Signifyd

Senior Machine Learning Engineer I // II

Denver, CO · On-site +1

$107K - $147K/yr

The Senior Machine Learning Engineer will join our ML team. This team is responsible for building ... learning. #LI-Remote Benefits in our US offices: * Discretionary Time Off Policy (Unlimited ...

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Machine Learning Intern Remote information

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

To thrive as a Machine Learning Intern (Remote), a solid understanding of programming (especially Python), statistics, and foundational machine learning concepts—often supported by coursework or a relevant degree—is essential. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and version control systems (e.g., Git) is typically required, along with experience using data analysis libraries. Strong problem-solving skills, initiative, and clear communication are valuable soft skills for collaborating virtually and adapting to remote work environments. These skills and qualities enable effective contribution to projects, smooth team communication, and successful learning in a dynamic, distributed setting.

What types of projects can I expect to work on as a remote Machine Learning Intern?

As a remote Machine Learning Intern, you can typically expect to contribute to projects such as data preprocessing, building and evaluating machine learning models, and assisting with the deployment of models into production environments. You may also help with tasks like feature engineering, exploratory data analysis, and preparing technical documentation. Collaboration is usually done through virtual meetings and code repositories, and you'll often work closely with data scientists, engineers, and mentors who provide guidance and feedback. This hands-on experience helps you gain exposure to industry-standard tools and workflows, preparing you for more advanced roles in the future.

What does a Machine Learning Intern do when working remotely?

A remote Machine Learning Intern typically assists with data collection, cleaning, and analysis, helps develop and test machine learning models, and collaborates with team members through virtual meetings and code repositories. They may also research new algorithms, document their work, and present findings to their supervisors. The role provides hands-on experience in applying machine learning concepts to real-world problems while working from a remote location.
What are the most commonly searched types of Machine Learning Remote jobs in Colorado? The most popular types of Machine Learning Remote jobs in Colorado are:
What are popular job titles related to Machine Learning Intern Remote jobs in Colorado? For Machine Learning Intern Remote jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern Remote jobs in Colorado look for? The top searched job categories for Machine Learning Intern Remote jobs in Colorado are:
What cities in Colorado are hiring for Machine Learning Intern Remote jobs? Cities in Colorado with the most Machine Learning Intern Remote job openings:
Machine Learning Intern Remote jobs near you

Machine Learning Engineer

Alignerr

Denver, CO • Remote

$50 - $70/hr

Other

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

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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