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Remote Machine Learning Jobs in DeKalb, IL (NOW HIRING)

QA Engineer - AI Trainer

Aurora, IL · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

SDLC Engineer - AI Trainer

Aurora, IL · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

QA Engineer - AI Trainer

Rockford, IL · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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Remote Machine Learning information

See DeKalb, IL salary details

$25K

$41.8K

$86.4K

How much do remote machine learning jobs pay per year?

As of Jul 9, 2026, the average yearly pay for remote machine learning in DeKalb, IL is $41,796.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,900.00 and $45,100.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

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

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
What are the most commonly searched types of Machine Learning jobs in DeKalb, IL? The most popular types of Machine Learning jobs in DeKalb, IL are:
What cities near DeKalb, IL are hiring for Remote Machine Learning jobs? Cities near DeKalb, IL with the most Remote Machine Learning job openings:

Software Engineer III - AI/ML Platform Operations - Remote

CSAA

Oregon, IL • Remote

Full-time

Retirement

Posted 8 days ago


Job description

External candidates: In order for your application to be correctly processed please sign-in before you apply

Internal candidates: Please go to Workday and click "Find Jobs" link under Career

Thank you for considering opportunities with us!

Job Title

Software Engineer III - AI/ML Platform Operations - Remote

Requisition Number

R7739 Software Engineer III - AI/ML Platform Operations - Remote (Open)

Location

Arizona - Home Teleworkers

Additional Locations

Job Information

CSAA Insurance Group (CSAA IG), a AAA insurer, is one of the leading personal lines property and casualty insurance groups in the United States. Here, every employee shapes our mission. We build innovative, human-centered solutions that help AAA members prevent, prepare for, and recover from life's uncertainties. You will join a collaborative, inclusive culture where your strengths have room to grow and your ideas can drive real impact. Step into a role where you can contribute to our shared success through meaningful work.

We are actively hiring for a Software Engineer - AI/ML Platform Operations - Remote

Your Role: We are seeking a Software Engineer - AI/ML Platform Operations to lead the operational excellence, reliability, and support of our enterprise AI and data platforms. This role is responsible for ensuring the stability, scalability, observability, governance, and operational readiness of AI/ML solutions that power critical business capabilities.

This is not a traditional software application development role. While strong software engineering skills are essential, the primary focus is on AI platform operations, MLOps, automation, reliability engineering, deployment support, observability, governance, and continuous improvement of enterprise AI capabilities.

Your Work: You will work across a modern technology ecosystem that includes Palantir Foundry, AWS Bedrock, Amazon SageMaker, cloud-native services, and emerging Generative AI technologies. You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and Product teams to support production AI workloads and enable the successful adoption of AI capabilities across the organization.

AI Platform Operations & Reliability
  • Provide technical leadership for AI/ML platforms including Palantir, AWS Bedrock, Amazon SageMaker, and related cloud-native technologies.

  • Ensure platform reliability, scalability, performance, security, and operational readiness for production AI workloads.

  • Support deployment, monitoring, maintenance, and lifecycle management of AI/ML solutions and Generative AI services.

  • Establish operational standards, support models, service-level objectives (SLOs), and platform governance practices.

MLOps, Automation & Observability
  • Design and implement automation, monitoring, observability, and operational tooling to improve platform reliability and efficiency.

  • Develop and maintain dashboards, health metrics, alerts, logging frameworks, and operational runbooks.

  • Enhance CI/CD pipelines, deployment automation, infrastructure-as-code, and model release processes.

  • Implement best practices for MLOps, model monitoring, model lifecycle management, and AI operational governance.

Incident Management & Problem Resolution
  • Serve as a senior escalation point for complex production issues involving AI platforms, machine learning workloads, cloud infrastructure, and data integrations.

  • Lead root cause analysis efforts and drive corrective and preventive actions to improve platform stability.

  • Solve performance, availability, deployment, and integration issues across AI and data ecosystems.

  • Partner with engineering and business teams to rapidly restore service and minimize operational risk.

Technical Leadership & Collaboration
  • Provide mentorship, technical guidance, and operational expertise to engineers and platform teams.

  • Influence platform strategy, architecture decisions, operational processes, and technology adoption.

  • Collaborate with team members to align platform capabilities with business priorities and AI adoption goals.

  • Communicate complex technical concepts effectively to both technical and non-technical audiences.

Continuous Improvement & Innovation
  • Remain current with advancements in AI/ML, Generative AI, cloud technologies, platform engineering, and reliability practices.

  • Identify opportunities to improve operational efficiency, governance, security, and developer experience.

  • Champion modern engineering practices including automation, observability, DevOps, Site Reliability Engineering (SRE), and AI Operations (AIOps).

Required Experience, Education and Skills
  • 3+ years of progressive experience in software engineering, platform engineering, cloud operations, MLOps, DevOps, or related technical disciplines.

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience.

  • Experience supporting production cloud-based applications and services in AWS environments.

  • Strong experience with software engineering and automation using languages such as Python, Java, JavaScript/TypeScript, or Node.js.

  • Experience with CI/CD, build, integration, and deployment tools such as Jenkins, Maven, GitHub Actions, or equivalent.

  • Experience with cloud-native services including compute, storage, networking, databases, and serverless architectures.

  • Experience building and maintaining operational monitoring, observability, and alerting solutions.

  • Strong troubleshooting, incident response, and root cause analysis skills.

  • Excellent communication, collaboration, and technical leadership capabilities.

What would make us excited about you?

  • Experience with AI/ML platforms such as Palantir Foundry, Amazon SageMaker, AWS Bedrock, Databricks, or similar ecosystems.

  • Experience supporting Generative AI applications, LLM-based solutions, prompt orchestration frameworks, and Retrieval-Augmented Generation (RAG) architectures.

  • Knowledge of MLOps practices including model deployment, monitoring, governance, experimentation, and lifecycle management.

  • Experience with observability and monitoring platforms such as Datadog, Splunk, Grafana, Prometheus, CloudWatch, or OpenTelemetry.

  • Familiarity with AI governance, responsible AI principles, model risk management, and operational controls.

  • Relevant cloud, AI/ML, DevOps, or platform engineering certifications

  • Actively shapes our company culture (e.g., participating in employee resource groups, volunteering, etc.)

  • Lives into cultural norms (e.g., willing to have cameras when it matters: helping onboard new team members, building relationships, etc.)

  • Travels as needed for role, including divisional / team meetings and other in-person meetings

  • Fulfills business needs, which may include investing extra time, helping other teams, etc

Please note we are hiring for this role remote anywhere in the United States with the following exceptions: Hawaii and Alaska.

Why Choose a Career at CSAA IG?

At CSAA IG, we are a mission-driven organization proudly committed to empowering our members, our employees, and our communities to thrive.

Recognition: We offer a total compensation package, annual bonus eligibility for most roles, 401(k) with a company match, and so much more! Read more about what we offer and what it is like to be a part of our dynamic team at https://careers.csaainsurance.aaa.com/us/en/benefits.

Career Growth: We believe in growth for everyone. Here at CSAA IG, leaders and mentors partner with employees to align interests, unlock development opportunities, and support longterm success.

Flexible Workplace: We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex roles, working primarily from home, often with the flexibility to work from various locations including CSAA offices. Our flexible workplace empowers you to balance remote work with intentional inperson moments that deepen connection and collaboration.

Inclusion and Belonging: An inclusive and welcoming workplace is the cornerstone of our success. By fostering an environment where people feel valued and heard, we deepen our ability to understand and meet the unique needs of our members. This strengthens innovation and enhances our products and services, giving us a competitive edge in the market.

Sustainability: As climate change leads to more frequent and severe weather events, we are taking bold action to build more resilient communities and reduce our environmental impact. Submit your application to be considered. We communicate via email, so check your inbox and/or your spam folder to ensure you don't miss important updates from us.

CSAA is committed to providing reasonable accommodations to qualified applicants and employees with disabilities or other limitations. If you would like to request an accommodation to participate in the job application or interview process, please contact TalentAcquistion@csaa.com

If you apply and are selected to continue in the recruiting process, we will schedule a preliminary call with you to discuss the role and will disclose during that call the available salary/hourly rate range based on your location. Factors used to determine the actual salary offered may include location, experience, or education.

CSAA does not provide visa sponsorship for this role. Applicants must have authorization to work indefinitely in the US. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

CSAA Insurance Group is an equal opportunity employer.

#LI-SB1

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The national average salary range for this position is $105,345.00-$117,050.00. However, we have a location-based compensation structure. Our salary ranges vary and are calculated based on work location. The starting pay range for this position across all the states we hire in is $105,345.00-$140,550.00. This role also includes an opportunity for a company-wide annual discretionary bonus, through our Annual Incentive Plan (AIP), of up to 8% of eligible pay.This job posting will be unposted on Wed, 8 Jul 2026.