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Volunteer Machine Learning Jobs in Carol Stream, IL

Morningstar

Senior Software Engineer

Chicago, IL · On-site +1

$153K/yr

Machine learning and statistical methods, including natural language processing (NLP) and ... Paid volunteering days * 15+ Employee Resource & Affinity Groups Morningstar's hybrid work ...

Morningstar, Inc.

Senior Software Engineer

Chicago, IL · On-site +1

$153K/yr

Machine learning and statistical methods, including natural language processing (NLP) and ... Paid volunteering days * 15+ Employee Resource & Affinity Groups Morningstar's hybrid work ...

SPINS

Brand Strategy

Chicago, IL · On-site

$80K - $90K/yr

... machine learning algorithms that help them better understand and meet their customers' needs. At ... Each employee is allotted paid time to use to volunteer with an organization of their choice and ...

ENOVA

Software Engineer - SMB (Hybrid)

Chicago, IL · On-site +1

$68K - $90K/yr

... volunteer day...Plus so much more! About Enova Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered ...

Enova

Software Engineer - SMB (Hybrid)

Chicago, IL · On-site

$68K - $90K/yr

... volunteer day...Plus so much more! About Enova Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered ...

Reveal

Strategic Sales Engineer (SSE)

Chicago, IL · On-site

$97K - $115K/yr

Incorporating advanced analytics, machine learning, generative AI, etc... to prioritize and reduce ... Group Term Life Insurance and Voluntary Life Insurance option * Paid holidays * Paid vacation, sick ...

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Volunteer Machine Learning information

See Carol Stream, IL salary details

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How much do volunteer machine learning jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for volunteer machine learning in Carol Stream, IL is $19.79, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $20.87 per hour, depending on experience, location, and employer.

What is a volunteer machine learning?

A Volunteer Machine Learning job involves contributing to machine learning projects without monetary compensation, often for nonprofits, open-source initiatives, or research. Volunteers may help with data preprocessing, model training, evaluation, or deployment. It’s a great opportunity to gain hands-on experience, collaborate with professionals, and apply ML skills to meaningful causes.

What types of projects or tasks can I expect to work on as a volunteer machine learning?

As a Volunteer Machine Learning contributor, you may work on a wide variety of tasks such as preparing and cleaning datasets, developing or enhancing machine learning models, conducting data analysis, and documenting results for open-source or nonprofit initiatives. Projects can range from building predictive models for social impact organizations to supporting data-driven research or assisting with educational outreach. You’ll typically collaborate remotely with other volunteers, data scientists, and project managers, often using shared code repositories and communication tools. This role provides valuable hands-on experience and networking opportunities within the growing field of machine learning.

What are the key skills and qualifications needed to thrive in the volunteer machine learning position?

To thrive as a Volunteer Machine Learning professional, you need a solid understanding of machine learning concepts, data analysis, and basic programming skills, typically demonstrated through coursework, personal projects, or relevant certifications. Familiarity with tools such as Python, TensorFlow, scikit-learn, and collaborative platforms like GitHub is often expected. Strong communication, collaboration, and adaptability are vital for contributing effectively within diverse volunteer teams. These skills and qualities enable volunteers to make meaningful technical contributions while supporting the goals of nonprofit or research-focused projects.

What are the most commonly searched types of Machine Learning jobs in Carol Stream, IL?

The most popular types of Machine Learning jobs in Carol Stream, IL are:

What are popular job titles related to Volunteer Machine Learning jobs in Carol Stream, IL?

For Volunteer Machine Learning jobs in Carol Stream, IL, the most frequently searched job titles are:

What job categories do people searching Volunteer Machine Learning jobs in Carol Stream, IL look for?

The top searched job categories for Volunteer Machine Learning jobs in Carol Stream, IL are:

What cities near Carol Stream, IL are hiring for Volunteer Machine Learning jobs?

Cities near Carol Stream, IL with the most Volunteer Machine Learning job openings:

Volunteer Machine Learning jobs near you
Infographic showing various Volunteer Machine Learning job openings in Carol Stream, IL as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 25% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $41,170 per year, or $19.8 per hour.

Principal Software Engineer

Morningstar Credit Ratings, LLC

Chicago, IL • On-site

$117.96 - $123.01/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted yesterday

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Job description

Responsibilities
  • Architect and lead the development of scalable AI and cloud‑native Agentic solutions using OpenAI, Azure, and AWS to enhance financial data acquisition and automation capabilities.
  • Design and implement AI‑powered transcription platforms, driving significant improvements in speed and efficiency.
  • Design, code, debug, maintain, and upgrade high‑performance software systems, ensuring performance, reliability and maintainability.
  • Provide technical leadership across multiple engineering teams, guiding day‑to‑day development activities and architectural decision‑making.
  • Lead cross‑functional collaboration with Application Architects, Systems Engineers, DevOps/SRE, and business stakeholders to align technical solutions with business objectives.
  • Advocate and enforce global best practices for product performance, reliability, scalability, security, and code reusability.
  • Conduct architectural design and system planning, ensuring scalable solutions that meet technical excellence and financial sector business needs.
  • Enforce coding standards and software engineering best practices across development teams.
  • Lead DevOps efforts with Docker, Kubernetes, and AWS Fargate; implemented CI/CD pipelines with SonarQube and automated infrastructure deployments.
  • Make strategic infrastructure decisions, monitor operational costs, and implement optimizations to reduce spend and improve system efficiency.
  • Facilitate team meetings to foster innovation and technical rigor.
Qualifications
  • Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, or related field, or a Master’s degree with equivalent experience.
  • 8 years of software engineering experience in a Lead, Principal, Senior, Associate Software Engineer, Developer, or related role (6 years with a Master’s degree).
  • 5 years of experience designing scalable AI and cloud‑native solutions using AWS, Azure, OpenAI or similar cloud platforms.
  • 5 years of experience developing commercial‑quality software products focused on distributed and real‑time systems.
  • 5 years of experience with Python and Java, and performance, reliability, scalability, security, and reusability tactics.
  • 5 years of experience defining, refining, and maintaining application architectures for sophisticated end‑user products.
  • 5 years of troubleshooting and debugging skills.
  • 3 years of mentoring and leading engineering teams.
  • 3 years of experience in machine learning, including model development and deployment in production environments.
  • 3 years of experience building and delivering proof‑of‑concepts (POCs) to validate technical solutions.
  • 3 years of experience with AWS cloud platforms and SaaS architectures.
  • 3 years of experience in DevOps, implementing CI/CD pipelines, containerizing with Docker, and orchestrating with Kubernetes/AWS Fargate.
  • 3 years in agile development practices (scrum and scaled agile).
  • Unrestricted right to work in the U.S.

Remote work requests will be considered in accordance with the company’s remote work policy.

Base Salary Compensation

$117,957 – $123,010 per year.

Benefits
  • Financial Health: 100% 401(k) match up to 6% of salary.
  • Stock ownership potential.
  • Company‑provided life insurance—1× salary + commission.
  • Physical Health: comprehensive medical/dental/vision benefits, potential premium discounts and company‑provided HSA contributions (up to$500‑$2,000 annually).
  • Wellness incentives: up to$300‑$600 annually.
  • Long‑term and short‑term disability insurance.
  • Emotional Health support.
  • Trust‑Based Time Off: 6‑week paid sabbatical program.
  • Paid family caregiving leave.
  • Competitive 8‑24week paid parental leave.
  • Adoption assistance.
  • Leadership coaching and formal mentorship opportunities.
  • Annual flex stipend—$1,000 to cover education and well‑being expenses.
  • Tuition reimbursement.
  • Social health – charitable matching gifts program.
  • Dollars for Doers volunteer program and paid volunteering days (15+).
  • Employee resource and affinity groups.
Work Environment

Morningstar’s hybrid work environment encourages collaboration in person each week; the typical hybrid model includes four in‑office days per week, with additional flexibility as needed.

Equal Opportunity & Accommodations

Morningstar is an equal‑opportunity employer and is committed to providing reasonable accommodations for individuals with disabilities. We participate in the E‑Verify program and comply with all applicable EEO laws.

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