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Volunteer Machine Learning Jobs in Portland, OR (NOW HIRING)

Atrium Hospitality

Housekeeping Room Attendant

Portland, OR · On-site

$18.25 - $19.16/hr

Career Growth & Learning - 40% of our management hires are internal promotions! * Invest in Your ... Sort laundry, operate machines safely, and handle linen like it's made of gold (or at least 600 ...

Atrium Hospitality

Housekeeping Room Attendant

Portland, OR · On-site

$18.25 - $19.16/hr

Career Growth & Learning - 40% of our management hires are internal promotions! * Invest in Your ... Sort laundry, operate machines safely, and handle linen like it's made of gold (or at least 600 ...

Atrium Hospitality

Housekeeping Room Attendant

Portland, OR · On-site

$18.25 - $19.16/hr

Career Growth & Learning - 40% of our management hires are internal promotions! * Invest in Your ... Sort laundry, operate machines safely, and handle linen like it's made of gold (or at least 600 ...

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All JobsVolunteer Machine Learning JobsVolunteer Machine Learning Jobs in Portland, OR

Volunteer Machine Learning information

See Portland, OR salary details

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How much do volunteer machine learning jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for volunteer machine learning in Portland, OR is $20.29, according to ZipRecruiter salary data. Most workers in this role earn between $15.29 and $21.39 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 Portland, OR?

The most popular types of Machine Learning jobs in Portland, OR are:

What are popular job titles related to Volunteer Machine Learning jobs in Portland, OR?

For Volunteer Machine Learning jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Volunteer Machine Learning jobs in Portland, OR look for?

The top searched job categories for Volunteer Machine Learning jobs in Portland, OR are:

What cities near Portland, OR are hiring for Volunteer Machine Learning jobs?

Cities near Portland, OR with the most Volunteer Machine Learning job openings:

Volunteer Machine Learning jobs near you
Infographic showing various Volunteer Machine Learning job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,213 per year, or $20.3 per hour.

Supervisory Data Scientist

U.S. Department of Energy (DOE)

Portland, OR • On-site

$135K/yr

Full-time

Posted 16 days ago

U.S. Department Of Energy rating

8.8

Company rating: 8.8 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

143rd of 848 rated public administrative organizations

Job description

This position is in the Data Analytics department (MOG) in the Office of Operational Performance (MO) under the Chief Operating Officer (K), Bonneville Power Administration (BPA).
This position serves as BPA's Analytics Officer, supervising advanced data analytics, data science, and machine learning. The incumbent manages the enterprise program and team, performing technical and consultative services supporting BPA agency-wide, while aligning with the Bureau, components, and federal partners.

Qualifications:

BASIC REQUIREMENT:
A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
-OR -
B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.
SPECIALIZED EXPERIENCE REQUIREMENTS:
A qualified candidate's online application and resume must demonstrate at least one year of specialized experience equivalent to the next lower grade level (GS-13) in the Federal service.
Specialized experience for this position is defined as: 1) Experience managing an enterprise data science program, including establishing strategic plans, formulating data policies, allocating resources, and coordinating initiatives with external partners; 2) Experience advising executives on the governance and deployment of complex data science platforms and analytical infrastructure across the entire data life cycle; and 3) Experience directing highly complex data science and machine learning projects using predictive modeling, natural language processing, and advanced statistics to automate business processes.

"Experience" refers to paid and unpaid experience. Examples of qualifying unpaid experience may include: volunteer work done through National Service programs (such as Peace Corps and AmeriCorps); as well as work for other community-based philanthropic and social organizations. Volunteer work helps build critical competencies, knowledge, and skills; and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
Time-in-Grade: Current Federal employees must meet time-in-grade requirements by the closing date of this announcement to receive consideration.
CTAP/ICTAP candidates: To be considered "well qualified" you must meet all of the requirements as described in this section.
You must meet all qualifications and eligibility requirements by the closing date of this announcement.

Education:

This vacancy has a positive education requirement. In order to be rated as qualified, you must provide copies of your college transcripts. Education must be obtained from an accredited institution recognized by the U.S. Department of Education. See Department of Education Accreditation Search to verify school accreditation.

Foreign education must be reviewed by an organization recognized by the U.S. Department of Education. For special instructions pertaining to foreign education and a list of organizations that can evaluate foreign education, see the Department of Education website.
DO NOT email or mail in any of your application documents. Documents will not be accepted outside of the online application system.
Failure to provide copies of your college transcripts may result in a rating of "Ineligible".
Employment Type: OTHER

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