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Volunteer Machine Learning Jobs in Washington (NOW HIRING)

Design and develop machine learning models and analytical approaches to support search, discovery ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...

Design and develop machine learning models and analytical approaches to support search, discovery ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...

Design and develop machine learning models and analytical approaches to support search, discovery ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...

Design and develop machine learning models and analytical approaches to support search, discovery ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...

Design and develop machine learning models and analytical approaches to support search, discovery ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...

Design and develop machine learning models and analytical approaches to support search, discovery ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...

Design and develop machine learning models and analytical approaches to support search, discovery ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...

Design and develop machine learning models and analytical approaches to support search, discovery ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...

Senior Climate Analytics Specialist

Arlington, VA · On-site

$100K - $123K/yr

Our climate risk analytics leverage rigorous science, machine learning, distributed computing, and ... Donation matching, volunteer opportunities * Investment in you: Tuition reimbursement, access to ...

Apply statistical methods and machine learning techniques to solve business and policy problems ... Holidays and generous paid time off, including to vote and volunteer * Paid parental, military ...

Data Scientist

Washington, DC · On-site

$130K - $160K/yr

Design, develop, and deploy machine learning models and statistical algorithms to detect financial ... Any voluntary disclosure of prior wage information may be considered to support a higher offer but ...

Showing results 41-60

Volunteer Machine Learning information

See Washington salary details

$9

$21

$38

How much do volunteer machine learning jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for volunteer machine learning in Washington is $21.67, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $22.88 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 Washington?

The most popular types of Machine Learning jobs in Washington are:

What job categories do people searching Volunteer Machine Learning jobs in Washington look for?

The top searched job categories for Volunteer Machine Learning jobs in Washington are:

What cities in Washington are hiring for Volunteer Machine Learning jobs?

Cities in Washington with the most Volunteer Machine Learning job openings:

Data Scientist

System One

Mclean, VA • Remote

Contractor

Medical, Dental, Vision, Life, Retirement

Re-posted 10 days ago


Job description

Job Title: Data Scientist Location: McLean, VA Type: Contract To Hire Compensation: Not specified Work Model: Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal.dinnocenti@systemone.com RESPONSIBILITIES

  • Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions.
  • Design and develop machine learning models and analytical approaches to support search, discovery, and insight generation across structured and unstructured data.
  • Build and implement NLP, semantic search, and entity resolution capabilities to enable advanced information retrieval and relationship analysis.
  • Leverage document-based data (e.g., OCR/ICR outputs, metadata, and free text) to extract insights and support downstream analytics and search solutions.
  • Collaborate with data engineers to integrate models into production environments, including Palantir Foundry, Databricks, and AWS-based platforms.
  • Develop model evaluation frameworks, confidence scoring, and explainability approaches to ensure transparency and usability of AI outputs.
  • Support development of analytics, reporting, and dashboards to drive operational insights and decision-making.
  • Operate within an Agile delivery model, contributing to sprint planning, experimentation, and iterative solution delivery.
  • Communicate findings and recommendations clearly to both technical and non-technical audiences, including client stakeholders.
  • Contribute to solution design, proposal support, and thought leadership in AI/analytics capabilities.
REQUIREMENTS
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
  • A minimum of 4 years of experience in data science, machine learning, or applied analytics roles.
  • U.S. Citizenship required and ability to obtain and maintain a Public Trust clearance.
  • Experience developing and applying machine learning models, including: Natural Language Processing (NLP), Semantic search or information retrieval, Entity resolution or relationship modeling.
  • Experience working with large-scale structured and unstructured data, particularly document-based datasets (e.g., text, PDFs, images).
  • Experience leveraging metadata and extracted features to support analytics and modeling.
  • Strong proficiency in Python for data science and machine learning (e.g., Pandas, Scikit-learn, PyTorch or TensorFlow) and solid SQL skills.
  • Experience working with Databricks and/or Spark-based environments for scalable data processing.
  • Familiarity with AWS cloud services for data access, processing, or model deployment.
  • Experience working with data lake or lakehouse architectures (e.g., AWS S3, Databricks), including querying and transforming large-scale datasets.
  • Experience integrating models into production environments (e.g., APIs, batch pipelines, or embedded analytics platforms).
  • Understanding of model evaluation, validation, and performance metrics.
  • Strong communication skills and ability to translate analytical outputs into actionable insights.
  • Experience working in cross-functional, matrixed teams in an Agile environment.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. #M1 #LI-CD1 Ref: #851-Rockville-S1


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About System One

Sourced by ZipRecruiter

System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US