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Volunteer Ai Programmer Jobs (NOW HIRING)

Product AI Engineer

Chicago, IL ยท On-site

$145K - $182K/yr

Role Overview We are seeking Forward-Deployed AI Engineers to rapidly prototype AI solutions in ... Paid volunteering days * 15+ Employee Resource & Affinity Groups Morningstar's hybrid work ...

By collaborating across engineering, data science, and operations, the Principal AI Engineer ... holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term ...

By collaborating across engineering, data science, and operations, the Principal AI Engineer ... holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term ...

By collaborating across engineering, data science, and operations, the Principal AI Engineer ... holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term ...

By collaborating across engineering, data science, and operations, the Principal AI Engineer ... holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term ...

By collaborating across engineering, data science, and operations, the Principal AI Engineer ... holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term ...

By collaborating across engineering, data science, and operations, the Principal AI Engineer ... holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term ...

By collaborating across engineering, data science, and operations, the Principal AI Engineer ... holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term ...

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Volunteer Ai Programmer information

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$12

$39

$68

How much do volunteer ai programmer jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for volunteer ai programmer in the United States is $39.54, according to ZipRecruiter salary data. Most workers in this role earn between $25.72 and $51.44 per hour, depending on experience, location, and employer.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI researcher, machine learning director, or AI executive, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, strategic planning, and extensive experience in AI development, and they tend to be found in large tech companies or specialized AI firms.

What is the difference between Volunteer Ai Programmer vs Data Analyst?

AspectVolunteer Ai ProgrammerData Analyst
Required SkillsBasic programming, AI concepts, PythonData interpretation, statistical analysis, Excel
Work EnvironmentNon-profit projects, remote or volunteer settingsCorporate, research, or business environments
CertificationsOptional programming courses, AI workshopsStatistics, data analysis certifications
Industry UsageAI development, machine learning projectsBusiness insights, reporting, data visualization

Volunteer Ai Programmers focus on developing AI models and coding in volunteer settings, often with limited formal credentials. Data Analysts interpret data to inform decisions, typically requiring statistical skills and certifications. While both roles involve working with data and technology, Volunteer Ai Programmers are more involved in AI development, whereas Data Analysts focus on data interpretation and reporting.

Which 3 jobs will survive AI?

For a Volunteer AI Programmer, jobs that require complex problem-solving, creativity, and human interaction are more likely to survive AI automation. These include roles like AI ethics specialists, AI trainers and data annotators, and software developers focusing on AI safety and oversight. Skills in critical thinking, domain expertise, and collaboration will remain valuable as AI tools evolve.

How much do AI programmers make?

AI programmers typically earn between $80,000 and $150,000 annually, depending on experience, location, and skill level. Entry-level positions may start lower, while experienced professionals with specialized skills in machine learning and deep learning can earn higher salaries.

Can I get an AI job with no experience?

Entry-level AI programmer roles often require some knowledge of programming languages like Python and understanding of machine learning concepts. While prior experience is beneficial, some companies offer internships or volunteer opportunities that allow beginners to gain relevant skills and build a portfolio.
More about Volunteer Ai Programmer jobs
What cities are hiring for Volunteer Ai Programmer jobs? Cities with the most Volunteer Ai Programmer job openings:
What are the most commonly searched types of Ai Programmer jobs? The most popular types of Ai Programmer jobs are:
What states have the most Volunteer Ai Programmer jobs? States with the most job openings for Volunteer Ai Programmer jobs include:
What job categories do people searching Volunteer Ai Programmer jobs look for? The top searched job categories for Volunteer Ai Programmer jobs are:
Infographic showing various Volunteer Ai Programmer job openings in the United States as of June 2026, with employment types broken down into 60% Full Time, 20% Part Time, and 20% Contract. Highlights an 80% In-person, and 20% Hybrid job distribution, with an average salary of $82,234 per year, or $39.5 per hour.

Product AI Engineer

Logical Information Machines

Chicago, IL โ€ข On-site

$145K - $182K/yr

Full-time

Medical, Dental, Life, Retirement

Posted 17 days ago


Job description

About Morningstar

Morningstar's mission is to empower investor success. The Direct Platform team does this by creating products that help financial professionals, and the investors theyserve,achieve their financial goals. The Morningstar Direct Platform team is one of the largest business units that strive to give clients access to the data, analytics, and tools that help financial professionals be more efficient, innovative, and connect with their clients in a more meaningful way.

This role is based in our Chicago office, and we follow a hybrid policy of 4 days onsite. Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis.

Role Overview

We are seeking Forward-Deployed AI Engineers to rapidly prototype AI solutions in real-world advisor workflows. This role is embedded inour discovery team, working alongside ProductManagers, UX designers, and researchers to translate ideas into functioning prototypes.

Success is measured by speed, feasibility validation, and actionable prototypes that can move downstream.

What Success Looks Like:

  • Prototypesvalidateadvisor workflows quickly and reliably
  • Downstream production engineers can operationalize prototypes with minimal friction
  • Team moves from idea evidence validated workflow efficiently
  • Experiments reduce risk and uncertainty for AI product decisions

Why This Role Matters

Product minded forward-deployed engineers collapse the gap between concept and reality, enabling the team to make fast, evidence-based product decisions while reducing wasted effort downstream.

Key Responsibilities

  • Build and iterate AI prototypes for advisor workflows
  • Integrate signals, models, and UX designs into working experiments
  • Test feasibility and performance of AI behaviors in real workflow scenarios
  • Collaborate closely with PMs, UX designers, and Research & Signals Lead
  • Capture technical learnings and provide handoff documentation for production teams
  • Rapidlyvalidateideas before long-term engineering investment

Required Skills

  • AI prototyping - Ability to build working AI systems quickly
  • Data integration - Connect signals, APIs, and datasets for prototypes
  • Collaboration in cross-functional teams - Work side-by-side with PMs, UX, and researchers
  • Experimentation and iteration - Rapidly test and refine ideas with user feedback
  • Technical documentation - Clearly communicate prototype behavior and limitations

Qualifications

  • 3-5years of AI engineering experience
  • Expert user of AI Coding tools like Claude Code and/or Cursor
  • Expertisewith Python, LLMs, prompt engineering, and AI frameworks
  • Ability to rapidly prototype with limited infrastructure
  • Strong problem-solving and communication skills

Total Cash Compensation Range

$145,170-182,820 USD Annual

Inclusive of annual base salary and target incentive

Compensation and Benefits

At Morningstar we believe people are at their best when they are at their healthiest. That's why we champion your wellness through a wide range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide:

  • Financial Health

    • 100% 401k match up to 6% of salary

    • Stock Ownership Potential

    • Company provided life insurance - 1x salary + commission

  • Physical Health

    • Comprehensive health benefits(medical/dental/vision)including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plansand coverages

    • Additional medical Wellness Incentives - up to $300-$600 annual

    • Company-provided long- and short-termdisabilityinsurance

  • Emotional Health

    • Trust-Based Time Off

    • 6-week Paid Sabbatical Program

    • 6-Week Paid Family Caregiving Leave

    • Competitive 8-24 Week Paid Parental Leave

    • Adoption Assistance

    • Leadership Coaching & FormalMentorshipOpportunities

    • Annual Flex Stipend - $1000 annually to cover personal education & well-being expenses

    • Tuition Reimbursement

  • Social Health

    • Charitable Matching Gifts program

    • Dollars for Doers volunteer program

    • Paid volunteering days

    • 15+ Employee Resource & Affinity Groups

Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.