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Volunteer Artificial Intelligence Jobs (NOW HIRING)

U.S. Department of Defense (DOD)

$125K/yr

To qualify for a Data Scientist (Artificial Intelligence/Machine Learning), your resume and ... Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable ...

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$125K/yr

To qualify for a Data Scientist (Artificial Intelligence/Machine Learning), your resume and ... Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable ...

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How much do volunteer artificial intelligence jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for volunteer artificial intelligence in the United States is $19.14, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $20.19 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a volunteer artificial intelligence?

To thrive as a Volunteer in Artificial Intelligence, you need a solid understanding of AI concepts, programming skills (such as Python), and familiarity with data analysis, often complemented by relevant coursework or self-study. Experience with AI frameworks like TensorFlow or PyTorch and tools such as Jupyter Notebooks is typically required. Strong communication, collaboration, and a willingness to learn help volunteers stand out in team-driven, mission-focused projects. These skills and qualities ensure effective contribution, adaptability, and meaningful impact in AI initiatives within nonprofit or research settings.

What is a volunteer artificial intelligence?

Volunteer Artificial Intelligence roles involve contributing AI skills and knowledge to nonprofit organizations, research projects, or community initiatives without monetary compensation. Volunteers may work on tasks such as data annotation, developing machine learning models, researching AI applications, or supporting AI education and outreach. These positions offer valuable experience for individuals looking to build their AI resume, network with professionals, and make a positive social impact. Typical requirements include a background in computer science, data science, or related fields, and familiarity with programming languages like Python. Opportunities can be found through online platforms, nonprofit organizations, or academic research groups.

What do volunteer artificial intelligence contributors do?

As a Volunteer Artificial Intelligence contributor, you may work on tasks such as annotating datasets, developing or improving machine learning models, or assisting with AI research documentation. Collaboration typically takes place in distributed teams using online platforms like GitHub, Slack, or Google Drive, where clear communication and version control are crucial. Volunteers often participate in regular virtual meetings or group chats to discuss progress and assign tasks, promoting learning and knowledge sharing. This setup provides valuable hands-on experience and the chance to build a professional network in the AI community.

What is the difference between Volunteer Artificial Intelligence vs Data Analyst?

AspectVolunteer Artificial IntelligenceData Analyst
Required CredentialsBasic understanding of AI concepts, sometimes no formal certificationDegree in data science, statistics, or related field; certifications preferred
Work EnvironmentVolunteer settings, non-profits, online platformsCorporate, consulting firms, or research organizations
Industry UsageAI research, open-source projects, non-profit initiativesBusiness analytics, market research, data-driven decision making

Volunteer Artificial Intelligence roles typically involve contributing to AI projects in volunteer or non-profit settings, often requiring basic AI knowledge. Data Analysts focus on interpreting data to inform business decisions, usually requiring formal education and certifications. While both roles work with data, Volunteer Artificial Intelligence emphasizes AI development and research, whereas Data Analysts focus on data interpretation and reporting.

More about Volunteer Artificial Intelligence jobs
What cities are hiring for Volunteer Artificial Intelligence jobs? Cities with the most Volunteer Artificial Intelligence job openings:
What are the most commonly searched types of Artificial Intelligence jobs? The most popular types of Artificial Intelligence jobs are:
What states have the most Volunteer Artificial Intelligence jobs? States with the most job openings for Volunteer Artificial Intelligence jobs include:
What job categories do people searching Volunteer Artificial Intelligence jobs look for? The top searched job categories for Volunteer Artificial Intelligence jobs are:
Volunteer Artificial Intelligence jobs near you
Infographic showing various Volunteer Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $39,804 per year, or $19.1 per hour.

Data Scientist (ARTIFICIAL INTELLIGENCE/MACHINE LEARNING)

U.S. Department of Defense (DOD)

Richmond, VA

$125K/yr

Full-time, Part-time

Posted 7 days ago

U.S. Department Of Defense rating

7.9

Company rating: 7.9 out of 10

Based on 537 frontline employees who took The Breakroom Quiz

28th of 49 rated military and defense

Job description

See below for important information regarding this job.
Position will be filled at any of the locations listed below. Site specific salary information as follows:
Battle Creek, MI: $125,776- $163,514
Columbus, OH: $131,245- $170,624
Dayton, OH: $130,461 - $169,604
Fort Belvoir, VA: $143,913- $187,093
New Cumberland, PA: $143,913- $187,093
Ogden, UT: $125,776- $163,514
Philadelphia, PA: $138,595- $180,178
Richmond, VA: $131,385- $170,806
Qualifications:To qualify for a Data Scientist (Artificial Intelligence/Machine Learning), your resume and supporting documentation must support:
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.
B. Specialized Experience: One year of specialized experience that equipped you with the particular competencies to successfully perform the duties of the position and is directly in or related to this position. To qualify at the GS-14 level, applicants must possess one year of specialized experience equivalent to the GS-13 level or equivalent under other pay systems in the Federal service, military, or private sector. Applicants must meet eligibility requirements including time-in-grade (General Schedule (GS) positions only), time-aftercompetitive appointment, minimum qualifications, and any other regulatory requirements by the cut-off/closing date of the announcement. Creditable specialized experience includes:
  • Conducts large, agency wide, research and development reviews of metrics, measurements, and evaluation methods for emerging and existing areas of Al.
  • Utilizes data science expertise to develop algorithms and tools to support data manipulation and processing as well as the use of data visualization techniques to articulate high risk findings.
  • Ensures the Al systems are designed for auditability to manage Al risk assessment policies and principles which guide automated decisions supporting DLA business operations.
  • Provides expert advice to senior leadership and Al stakeholders to adopt new or revised policy and implementation plans resulting from Al test and evaluation integration.
  • Assesses data quality and establishes standards to validate quality criteria for data to ensure it meets the necessary requirements for Al testing and evaluation.

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). 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.Education:Are you using your education to qualify? You MUST provide transcripts or other documentation to support your educational claims. Unless otherwise stated: Unofficial transcripts are acceptable at time of application.
GRADUATE EDUCATION: One academic year of graduate education is considered to be the number of credits hours that your graduate school has determined to represent one academic year of full-time study. Such study may have been performed on a full-time or part-time basis. If you cannot obtain your graduate school's definition of one year of graduate study, 18 semester hours (or 27 quarter hours) should be considered as satisfying the requirement for one year of full-time graduate study.
FOREIGN EDUCATION: If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show that the education credentials have been evaluated by a private organization that specializes in interpretation of foreign education programs and such education has been deemed equivalent to that gained in an accredited U.S. education program; or full credit has been given for the courses at a U.S. accredited college or university.Employment Type: OTHER

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