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Volunteer Machine Learning Jobs in Houston, TX (NOW HIRING)

Machine Learning and LLM experience * Knowledge of AI agents and agentic workflows * Azure services ... Voluntary Accident/Critical Illness/Life insurance * Fair Wages * 401(k) Contribution * Vacation

Develop domain-specific machine learning models in collaboration with subject matter experts ... through volunteering and various company initiatives, as well as a strong company commitment to ...

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Volunteer Machine Learning information

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How much do volunteer machine learning jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for volunteer machine learning in Houston, TX is $18.27, according to ZipRecruiter salary data. Most workers in this role earn between $13.75 and $19.28 per hour, depending on experience, location, and employer.

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 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 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 are the most commonly searched types of Machine Learning jobs in Houston, TX? The most popular types of Machine Learning jobs in Houston, TX are:
What are popular job titles related to Volunteer Machine Learning jobs in Houston, TX? For Volunteer Machine Learning jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Volunteer Machine Learning jobs in Houston, TX look for? The top searched job categories for Volunteer Machine Learning jobs in Houston, TX are:
What cities near Houston, TX are hiring for Volunteer Machine Learning jobs? Cities near Houston, TX with the most Volunteer Machine Learning job openings:
Infographic showing various Volunteer Machine Learning job openings in Houston, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $38,012 per year, or $18.3 per hour.

Digital Product Manager - Energy Forecast Products

Det Norske Veritas

Houston, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


Job description

DNV is seeking a Product Manager to lead a portfolio of power forecasting products used by energy operators, traders, and asset owners globally.

These products deliver high-accuracy solar and wind power forecasts, leveraging advanced physics-based models, machine learning, and global weather data to enable better operational, trading, and planning decisions.

This role combines end-to-end product ownership with a strong focus on AI-led product innovation, including the evolution of forecasting workflows into AI-native and agentic experiences.

You will operate at the intersection of:

  • Renewable energy systems 
  • Data science and machine learning 
  • API-first digital products 
  • AI-enabled workflow automation

What You'll Do

  • Product Ownership & Strategy 
  • Own product vision, roadmap, and lifecycle for power forecasting products 
  • Define and execute product strategy aligned with customer needs and market dynamics 
  • Drive commercial performance, including pricing, packaging, and positioning


 

Product Development 
 

  • Identify and deliver novel power forecasting capabilities that leverage the best of physical and AI modeling techniques to deliver unique customer value 
  • Design and implement agentic workflows that automate forecasting, diagnostics, and optimization tasks 
  • Translate new AI/ML capabilities into clear, scalable product features and user value 
  • Partner with data science teams on model development, validation, and performance monitoring from inception to full commercialization

Execution & Delivery 
 

  • Manage product backlogs, releases, and priorities in collaboration with engineering teams 
  • Define requirements and acceptance criteria; lead product validation and iteration 
  • Use data and experimentation to continuously improve product performance

Customer & Stakeholder Engagement 
 

  • Conduct customer discovery and workflow analysis 
  • Engage directly with customers to understand operational and trading use cases 
  • Support go-to-market activities, including sales enablement and product positioning


Cross-Functional Leadership

  • Collaborate across engineering, data science, UX, and commercial teams 
  • Align stakeholders and drive execution across a distributed, global organization 
  • Contribute to best practices for product management within GDP 
     

What is required 

  • Bachelor's degree in engineering, data science, atmospheric science, or a related field 
  • 5+ years of product management experience in digital, data, or SaaS products 
  • Experience managing products across the full lifecycle 
  • Strong analytical and problem-solving skills in data-driven environments 
  • Strong written and verbal English communication skills
  •  We conduct pre-employment drug and background screening
     

*Immigration-related employment benefits, for example visa sponsorship, are not available for this position* 

Preferred Qualifications 

  • Master's degree in engineering, data science, atmospheric science, or a related field 
  • Experience in renewable energy, power markets, or forecasting domains 
  • Experience with APIs, data platforms, or developer-focused products 
  • Working knowledge of machine learning concepts and AI-driven product development 

An AI Product Mindset 

  • Experience or strong interest in AI-powered products and workflows 
  • Exposure to agentic tools or workflow automation systems is strongly preferred 

Who You Are 

  • A customer-focused and outcomes-driven product leader 
  • Comfortable operating in technically complex, data-intensive domains 
  • Able to balance strategic thinking with hands-on execution 
  • Energized by building AI-first products and intelligent systems 
  • Passionate about contributing to the energy transition 

 

 

    Generous paid time off (vacation, sick days, company holidays, personal days)
    Multiple Medical and Dental benefit plans to choose from, Vision benefits
    Spending accounts - FSA, Dependent Care, Commuter Benefits, company-seeded HSA
    Employer-paid, therapist-led, virtual care services through Talkspace
    401(k) with company match
    Company provided life insurance, short-term, and long-term disability benefits
    Education reimbursement program
    Flexible work schedule with hybrid opportunities
    Charitable Matched Giving and Volunteer Rewards through our Impact Program
    Volunteer time off (VTO) paid by the company 
    Career advancement opportunities

**Benefits vary based on position, tenure, location, and employee election**

DNV is a proud equal-opportunity employer committed to building an inclusive and diverse workforce. All employment is decided on the basis of qualifications, merit, or business need, without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

DNV is committed to ensuring equal employment opportunity, including providing reasonable accommodations to individuals with disabilities. US applicants with a physical or mental disability who require reasonable accommodation for any part of the application or hiring process may contact the North America Recruitment Department (hrrecruitment.northamerica@dnv.com). Information received relating to accommodation will be addressed confidentially.

For more information 
https://www.eeoc.gov/know-your-rights-workplace-discrimination-illegal