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Volunteer Machine Learning Jobs in Seattle, WA (NOW HIRING)

Onramp Lab

Developer

Seattle, WA · On-site +1

Experience with AI or machine learning technologies is a plus Benefits * Health Care Plan (Medical, Dental & Vision) * Retirement Plan (401k, IRA) * Life Insurance (Basic, Voluntary & AD&D) * Paid ...

Onramp Lab

Developer

Seattle, WA · Remote

Experience with AI or machine learning technologies is a plus Benefits * Health Care Plan (Medical, Dental & Vision) * Retirement Plan (401k, IRA) * Life Insurance (Basic, Voluntary & AD&D) * Paid ...

Oracle

Senior Network Development Engineer

Seattle, WA · On-site

$118K - $162K/yr

We envision a future where artificial intelligence and machine learning revolutionize industries ... We also encourage employees to give back to their communities through our volunteer programs. We're ...

Oracle

Senior Network Development Engineer

Seattle, WA · On-site

$118K - $162K/yr

We envision a future where artificial intelligence and machine learning revolutionize industries ... We also encourage employees to give back to their communities through our volunteer programs. We're ...

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Showing results 21-40

All JobsVolunteer Machine Learning JobsVolunteer Machine Learning Jobs in Seattle, WA

Volunteer Machine Learning information

See Seattle, WA salary details

$9

$21

$38

How much do volunteer machine learning jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for volunteer machine learning in Seattle, WA is $21.78, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $22.98 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 Seattle, WA?

The most popular types of Machine Learning jobs in Seattle, WA are:

What are popular job titles related to Volunteer Machine Learning jobs in Seattle, WA?

For Volunteer Machine Learning jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Volunteer Machine Learning jobs in Seattle, WA look for?

The top searched job categories for Volunteer Machine Learning jobs in Seattle, WA are:

Volunteer Machine Learning jobs near you
Infographic showing various Volunteer Machine Learning job openings in Seattle, WA as of September 2026, with employment types broken down into 76% Full Time, 13% Part Time, 4% Contract, and 7% Nights. Highlights an 100% In-person job distribution, with an average salary of $45,299 per year, or $21.8 per hour.

Data Annotation Specialist - Seattle (On Site)

Seattle, WA • On-site

Welo Data
Data Services • 1 - 5K employees
Learn more about Welo Dataexternal

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 19 hours ago

Job description

OVERVIEW

Welo Data is looking for a skilled Data Analyst to join our team and contribute to advancing AI technologies. This role offers a unique opportunity to engage directly with cutting-edge AI products, supporting the refinement and performance of machine learning models through precise data analysis and quality assurance.

Project Details
Job Title: Data Analyst
Location: Seattle (On-site)
Hours: Full-time, 40 hours per week
Start Date: November 2025
Employment Type: W2 Full-Time Employee

Must have valid work authorization in the US (Welocalize does not sponsor VISAs at this time).

This role is an incredible chance to be at the forefront of AI technology, helping shape the future by testing new products, updating machine learning models, and ensuring high-quality data for impactful AI solutions.
Key Responsibilities
  • Test new AI products and provide actionable feedback to improve functionality and user experience.
  • Conduct detailed data annotation and quality assurance of natural language datasets following established guidelines.
  • Collaborate in updating and refining machine learning models to boost accuracy and effectiveness.
  • Analyze data for consistency, relevancy, and alignment with project goals.
  • Perform quality control to identify and report anomalies, error patterns, and discrepancies.
  • Use basic data analysis methods to extract insights and support continuous improvement.
  • Prepare clear and concise reports on findings, including observations on data quality, AI model performance, and user feedback.
Preferred Qualifications
  • University degree in linguistics, translation, or a related field.
  • 3-5 years of professional linguistics experience.
  • Strong analytical skills with the ability to detect patterns and anomalies.
  • Excellent communication skills and the ability to work collaboratively in a fast-paced environment.
  • Adaptability to evolving priorities and project requirements.
Benefits
  • Paid Sick Time & Paid Holiday (combined): 15 days
  • Paid Holidays: Memorial Day and Labor Day
  • Medical Insurance (subject to eligibility requirements)
  • Dental Insurance
  • Vision Insurance
  • Health Savings Account (HSA)
  • Voluntary Life Insurance
  • Accident, Critical Illness, and Hospital Indemnity Insurance
  • Telemedicine Benefit
  • 401(k) Retirement Plan
  • Employee Assistance Program
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.

To know more details (Click here)

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.


As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.