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Remote Aws Machine Learning Jobs in Colorado (NOW HIRING)

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 ... Machine Learning Engineer - AI Data Trainer Type : Hourly Contract Compensation : $50-$70 /hour ...

Principal Machine Learning Engineer

Denver, CO ยท On-site +1

$228K - $253K/yr

... Databricks, AWS, Sagemaker, etc. As a Principal Machine Learning Engineer, you will act as a ... Remote options are available for the following states - AZ, AR, CA, FL, GA, IL, IN, IA, KS, MD, MA ...

$228K - $253K/yr

... Databricks, AWS, Sagemaker, etc. As a Principal Machine Learning Engineer, you will act as a ... Remote options are available for the following states - AZ, AR, CA, FL, GA, IL, IN, IA, KS, MD, MA ...

Staff Machine Learning Engineer

Denver, CO ยท On-site +1

$206K - $230K/yr

... AWS, Sagemaker, etc. As a Staff Machine Learning Engineer, you will act as a technical leader and ... Remote options are available for the following states - AZ, AR, CA, FL, GA, IL, IN, IA, KS, MD, MA ...

Machine Learning Engineer

Colorado Springs, CO ยท 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 ...

Senior Machine Learning Expert

Denver, CO ยท 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 ...

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 ... Experience deploying and monitoring ML workloads on at least one major cloud (AWS, Azure, or GCP ...

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 ... Experience deploying and monitoring ML workloads on at least one major cloud (AWS, Azure, or GCP ...

Senior Machine Learning Engineer I // II

Denver, CO ยท 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 ...

Sr. Machine Learning Software Engineer

Denver, CO ยท On-site +1

$126K - $166K/yr

While we are mostly a remote company, travel is required for some team meetings and cross function ... Familiarity with cloud platforms (AWS preferred: SageMaker, S3, EC2) and reproducible ML pipelines.

Sr. Machine Learning Software Engineer

Denver, CO ยท On-site +1

$126K - $166K/yr

While we are mostly a remote company, travel is required for some team meetings and cross function ... Familiarity with cloud platforms (AWS preferred: SageMaker, S3, EC2) and reproducible ML pipelines.

Senior AI/ML Engineer

Denver, CO ยท Remote

$90 - $100/hr

Remote Our client seeks a Senior AI/ML Engineer to design and deliver cloud-native machine learning solutions on AWS. The role includes LLM orchestration, RAG pipelines, vector database integration ...

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Remote Aws Machine Learning information

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

To thrive as a Remote AWS Machine Learning Engineer, you need a strong background in machine learning algorithms, statistical analysis, and proficiency in programming languages such as Python, often supported by a relevant degree or certification. Familiarity with AWS services like SageMaker, Lambda, and EC2, as well as experience using cloud-based ML tools and AWS Certified Machine Learning credentials, is typically required. Excellent problem-solving skills, self-motivation, and clear written communication are valuable soft skills for remote collaboration and project management. These skills ensure effective model development, seamless deployment on cloud infrastructure, and successful remote teamwork in delivering scalable ML solutions.

What are remote AWS Machine Learning jobs?

Remote AWS Machine Learning jobs involve working with Amazon Web Services' suite of machine learning tools and services, such as SageMaker, to build, train, and deploy machine learning models. These positions allow professionals to work from anywhere, collaborating with teams virtually while leveraging AWS infrastructure to solve data-driven problems. Responsibilities often include data preprocessing, model development, and deploying scalable solutions in the cloud. Typical job titles may include Machine Learning Engineer, Data Scientist, or AI Developer, all with a focus on AWS technologies. These roles require strong programming skills, experience with cloud computing, and a background in machine learning or data science.

What is the difference between Remote Aws Machine Learning vs Remote Data Scientist?

AspectRemote Aws Machine LearningRemote Data Scientist
Required CredentialsAWS certifications, machine learning coursesStatistics, data analysis, programming skills
Work EnvironmentCloud platforms, AWS services, remote teamsData analysis, modeling, research in remote settings
Industry UsageTech, finance, healthcare using AWS ML toolsResearch, consulting, analytics across industries

Remote AWS Machine Learning specialists focus on deploying machine learning models using AWS cloud services, requiring AWS certifications and cloud expertise. Remote Data Scientists analyze data, build models, and interpret results, often with a stronger emphasis on statistics and programming. While both roles work remotely and involve data, AWS Machine Learning roles are more cloud and deployment-oriented, whereas Data Scientists focus on data analysis and research.

What are some common challenges faced by remote AWS Machine Learning engineers, and how can they be addressed?

Remote AWS Machine Learning engineers often face challenges related to communication and collaboration, especially when working across different time zones and with cross-functional teams. Ensuring secure access to data and cloud resources is another key concern, given the sensitive nature of many machine learning projects. To overcome these challenges, engineers should leverage AWS collaboration tools, maintain clear documentation, and participate in regular virtual meetings. Additionally, setting up robust security protocols and using AWS Identity and Access Management (IAM) helps safeguard project assets while enabling effective teamwork.
What are the most commonly searched types of Aws Machine Learning jobs in Colorado? The most popular types of Aws Machine Learning jobs in Colorado are:
What are popular job titles related to Remote Aws Machine Learning jobs in Colorado? For Remote Aws Machine Learning jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Aws Machine Learning jobs in Colorado look for? The top searched job categories for Remote Aws Machine Learning jobs in Colorado are:
What cities in Colorado are hiring for Remote Aws Machine Learning jobs? Cities in Colorado with the most Remote Aws Machine Learning job openings:

Machine Learning Engineer

Alignerr

Denver, CO โ€ข Remote

$50 - $70/hr

Other

Posted 16 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.