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Volunteer Machine Learning Jobs in Washington (NOW HIRING)

Well-being and family resources - Mental health and well-being resources, paid volunteer time ... Strong understanding of AI concepts, including machine learning, generative AI, and related data ...

Develop, train, and evaluate a variety of machine learning models, ensuring they meet performance ... additional voluntary life insurance available #CJ Clearance Level: TS/SCI FSP Job Location:

Senior Software Engineer

Columbia, MD · On-site

$190K - $240K/yr

This position is ideal for an engineer who enjoys combining data science, machine learning, and ... volunteer program * 10% matching in 401(k) contributions vested on day one * $5,000 annual training ...

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 ...

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Volunteer Machine Learning information

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How much do volunteer machine learning jobs pay per hour?

As of Sep 4, 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:

Artificial Intelligence (Al)/Machine Learning Engineer 2 with Security Clearance

Wyetech, LLC

Annapolis Junction, MD • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

Artificial Intelligence (Al)/Machine Learning Engineer 2 Annapolis Junction, Maryland TJ Team / Software Engineering (Full-Time) / On-site apply for this job At Wyetech, you’ll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry. Intelligence analysts rely on multi step workflows that are time sensitive, detail rich, and critical to national security. As an Artificial Intelligence/Machine Learning Engineer with Wyetech, you will work directly with mission users to capture these workflows, document operational decision points, and translate them into effective Al enabled capabilities.  You will design and implement solutions that may include LLM powered workflows, agent based automation, or hybrid approaches depending on mission needs. Your work will streamline analytical tasks, improve data accessibility, and support rapid, informed decision making in high tempo environments. You'll collaborate with operators, analysts, developers, and mission leadership to ensure solutions integrate cleanly with existing systems, perform reliably in production, and adhere to the security and governance expectations of classified environments. Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph). Required Qualifications * TS/SCI with agency appropriate poly * Bachelor's degree and 14 years of experience with 3+ years of experience in Al/ML engineering, data science, or software engineering within cyber, intelligence, or national security environments Required Technical Skills * Experience capturing user workflows and translating them into structured process maps, automation requirements, or executable logic * Experience designing or implementing LLM based or agentic workflows, including multi step reasoning, tool integrations, and orchestration * Experience integrating Al systems with APIs, enterprise data stores, or mission platforms * Experience with programming languages such as Python  Desired Technical Skills * Experience engineering Al capabilities in on premise or multi classification environments * Experience with AWS or Azure, including work in restricted or classified environments * Experience with AI/LLM development framework such as LangChain, LangGraph, PydanticAl, or CrewAl * Experience with ML frameworks such as PyTorch, TensorFlow, VLLM, or llama.cpp * Experience with cyber or intelligence workflows, operational data types, or mission oriented analytical processes * Master's degree in Al, ML, Data Science, Cybersecurity, or Engineering  The Benefits Package * Wyetech believes in generously supporting employees as they prepare for retirement. The company automatically contributes 20% of each employee's gross compensation to a Simplified Employee Pension (SEP) IRA, with no requirement for employee matching. All contributions are fully vested from day one, ensuring immediate ownership of retirement funds.  Additional benefits include: * Wyetech provides a generous PTO plan of up to 200 hours annually, aligned with applicable state leave regulations. Employees have the flexibility to adjust their PTO allocation at the start of each calendar year, ensuring it meets their evolving needs. Full-time employees have the option to participate in a variety of voluntary benefit plans including: * A Choice of Medical Plan Options, some with Health Savings Account (HSA) * Vision and Dental * Life and AD&D Benefits * Short and Long-Term Disability * Hospital Indemnity, Accident, and Critical Illness Insurances * Optional Identity Theft and Legal Protection Services Company Environment & Perks * Employee Referral Bonus Eligibility up to $10,000  * Mobility Among Wyetech-supported Contracts  * Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS * Various team-building events throughout the year such as: monthly lunches, summer company picnic, and an annual holiday party.  * Employees receive two complementary branded clothing orders annually. $0 - $0 an hour Pay Range: $ - $ per hour* Hourly pay rates listed for this position serve as a general guideline and are not a guarantee of compensation. Compensation will vary dependent upon factors including but not limited to: Government contract rates; education; relevant prior work experience, knowledge, skills, and competencies; certifications, and geographic location. *Hourly pay rates reflect the pre-benefit gross wage amounts. Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.  Affirmative Action Statement: Wyetech, LLC is committed to the principles of affirmative action in all hiring and employment for minorities, women, individuals with disabilities, and protected veterans. Accommodations: Wyetech, LLC is committed to providing an inclusive and accessible hiring process. If you need any accommodations during the application or interview process, please contact Brittney Wood. at 844-WYETECH x727 or . We are happy to provide reasonable accommodations to ensure equal access to all candidates.  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. apply for this job Jobs powered by