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Remote Aws Machine Learning Jobs in Chicago, IL (NOW HIRING)

TSMG

AI/ML Data Contributor

Chicago, IL · Remote

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

DomainTools

Senior Software Engineer

Chicago, IL · Remote

$125K - $165K/yr

... AWS, Docker, Kubernetes) who is eager to take on big challenges and deliver high-quality, impactful ... Experience with data mining or machine learning techniques * Experience with text codec, encoding ...

Morningstar

Principal Software Engineer

Chicago, IL · On-site +1

$117K - $123K/yr

Remote work requests will be considered consistent with company's remote work policy. Job ... experience in machine learning, including model development and deployment in production ...

Cisco

Senior Software Engineer (Remote)

Chicago, IL · Remote

$126K - $166K/yr

Familiarity with LLMs, AI agents, embeddings, or other machine-learning capabilities and their ... AWS, and Terraform. * Experience with PostgreSQL, MySQL, Redis, or similar databases and data ...

Kemper

Data Scientist

Chicago, IL · On-site +1

Solid understanding of statistical modeling and machine learning concepts, including model training ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Strike Social

Senior Data Scientist

Chicago, IL · Remote

Machine Learning, Real-time Analytics, and Experimental Modeling on the Strike Marketing Cloud/Data ... Working hours are flexible and remote work is encouraged. We are an equal opportunity employer and ...

Morningstar

Senior Software Engineer

Chicago, IL · On-site +1

$153K/yr

Remote work requests will be considered consistent with company's remote work policy. Job ... AWS Lambda. Machine learning and statistical methods, including natural language processing (NLP ...

Morningstar, Inc.

Senior Software Engineer

Chicago, IL · On-site +1

$153K/yr

Remote work requests will be considered consistent with company's remote work policy. Job ... AWS Lambda. Machine learning and statistical methods, including natural language processing (NLP ...

YO AI Labs

AI Data Science Expert - Remote

Chicago, IL · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

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All JobsAws Machine Learning JobsRemote Aws Machine Learning JobsRemote Aws Machine Learning Jobs in Chicago, IL

Remote Aws Machine Learning information

What is a remote AWS Machine Learning job?

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 are the key skills and qualifications needed to thrive as a remote AWS Machine Learning engineer?

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 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 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 the most commonly searched types of Aws Machine Learning jobs in Chicago, IL?

The most popular types of Aws Machine Learning jobs in Chicago, IL are:

What are popular job titles related to Remote Aws Machine Learning jobs in Chicago, IL?

For Remote Aws Machine Learning jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Remote Aws Machine Learning jobs in Chicago, IL look for?

The top searched job categories for Remote Aws Machine Learning jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Remote Aws Machine Learning jobs?

Cities near Chicago, IL with the most Remote Aws Machine Learning job openings:

Remote Aws Machine Learning jobs near you
Infographic showing various Remote Aws Machine Learning job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

AI/ML Data Contributor

TSMG

Chicago, IL • Remote

Full-time

Re-posted 28 days ago

Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.