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Entry Level Data Ai Jobs in Virginia (NOW HIRING)

Leidos seeks entry-level Change Ticket Coordinators for the SMIT program. The Change as a Service ... Use AI tools to collect, validate, and populate ticket fields. * Track requirements, deliverables ...

Change Ticket Coordinator

Norfolk, VA · On-site

$57K - $104K/yr

Leidos seeks entry-level Change Ticket Coordinators for the SMIT program. The Change as a Service ... Use AI tools to collect, validate, and populate ticket fields. * Track requirements, deliverables ...

Plumbing Done Right, Every Time - Plumbing Apprentice - Entry Level (Plumbing Academy Program ... Pay: $18/hr to start $18 - $18 an hour We may use artificial intelligence (AI) tools to support ...

Plumbing Done Right, Every Time - Plumbing Apprentice - Entry Level (Plumbing Academy Program ... Pay: $18/hr to start We may use artificial intelligence (AI) tools to support parts of the hiring ...

Showing results 41-60

Entry Level Data Ai information

What is an entry level data AI?

Entry level data AI jobs are positions designed for individuals who are new to the field of artificial intelligence and data science. These roles often involve tasks such as data cleaning, basic data analysis, building simple machine learning models, and assisting senior team members with AI projects. Candidates typically need foundational skills in programming (like Python), basic statistics, and familiarity with AI concepts. Entry level roles may include job titles like Data Analyst, Junior Data Scientist, or AI Research Assistant. These positions provide an excellent starting point for building a career in the rapidly evolving field of data and AI.

What kind of projects and tasks can I expect to work on as an entry level data AI professional?

As an Entry Level Data AI professional, you can expect to support data collection, data cleaning, and pre-processing activities, as well as assist in building and testing simple machine learning models. You'll often work closely with data scientists and engineers, collaborating on projects that involve analyzing datasets, generating reports, and helping automate data pipelines. This role provides a strong foundation in both technical and collaborative skills, and you’ll have opportunities to learn from more experienced team members while gradually taking on more complex tasks as your skills develop.

What are the key skills and qualifications needed to thrive as an entry level data AI professional, and why are they important?

To thrive as an Entry Level Data AI professional, you need a foundational understanding of data analysis, statistics, and programming languages like Python or R, often supported by a relevant degree or coursework. Familiarity with data visualization tools (such as Tableau or Power BI), machine learning libraries (like scikit-learn or TensorFlow), and SQL databases is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret findings and collaborate with team members. These skills ensure you can process and analyze data effectively, contribute to AI projects, and drive actionable insights in a technology-driven environment.

What is the difference between Entry Level Data Ai vs Data Analyst?

AspectEntry Level Data AiData Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; basic knowledge of AI/ML toolsBachelor's in Statistics, Data Science, or related field; proficiency in data visualization and analysis tools
Work EnvironmentTech companies, startups, AI-focused teamsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in tech and AI development sectorsAcross multiple industries for data-driven decision making
Common Search & Comparison IntentUnderstanding entry-level roles in AIUnderstanding entry-level data analysis roles

Entry Level Data Ai roles focus on foundational AI and machine learning skills, often in tech environments, while Data Analyst roles emphasize data interpretation and visualization across various industries. Both roles require a strong analytical background but differ in technical focus and industry application.

Can I get an entry level data AI job with no experience?

Entry level data AI positions often require some foundational knowledge of programming, data analysis, and machine learning tools, but many employers are open to candidates with little to no professional experience if they demonstrate strong technical skills and a willingness to learn. Completing relevant coursework, certifications, or projects can improve your chances of securing such roles. Internships or entry-level training programs are also common pathways into data AI jobs for beginners.

What entry-level jobs are there working with AI?

Entry-level jobs working with AI include roles such as AI support technician, data annotation or labeling specialist, and junior machine learning engineer. These positions often require basic programming skills, familiarity with AI tools like Python or TensorFlow, and a foundational understanding of data analysis. They provide opportunities to gain experience in AI development, data management, and model training.

What are the most commonly searched types of Data Ai jobs in Virginia?

The most popular types of Data Ai jobs in Virginia are:

Infographic showing various Entry Level Data Ai job openings in Virginia as of August 2026, with employment types broken down into 58% Full Time, and 42% Part Time. Highlights an 100% In-person job distribution.

Software Engineer, Intelligent Systems

Virginia Tech

Blacksburg, VA • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Virginia Tech rating

7.8

Company rating: 7.8 out of 10

Based on 66 frontline employees who took The Breakroom Quiz

230th of 620 rated colleges and universities


Job description

Software Engineer, Intelligent Systems

Apply now Back to search results Job no: 536444
Work type: Administrative & Professional
Senior management: Vice President for Research
Department: VTNSI
Location: Arlington, Virginia
Categories: Information Systems / Technology, Research / Scientific

Job Description

The Virginia Tech National Security Institute (VTNSI) is a national leader in advancing security and resilience through innovative and applied research, empowering the next generation of experts, and building strategic alliances to address evolving national security challenges. We bring together exceptional interdisciplinary faculty, unique research infrastructure, and deep partnerships with industry and government sponsors to execute impactful research and development.
The Virginia Tech National Security Institute's (VTNSI) Intelligent Systems Division (ISD) is seeking to fill an entry-level/junior-level software developer position to join our team at the forefront of research and development on artificial intelligence and systems engineering.
With a presence in both Blacksburg and Washington, D.C. metro areas, VTNSI serves dual missions of (1) performing cutting-edge research and development for externally sponsored Department of Defense and Intelligence Community programs and (2) cultivating the next generation of national security workforce and thought leaders by engaging students in curricular, extracurricular, and research and development opportunities. As one of the fastest growing thematic research institutes at Virginia Tech, sponsors and collaborators benefit from VTNSI through both highly experienced student talent pipelines and senior technical leadership that addresses some of our nation's greatest national security challenges and threats.
VTNSI's ISD is a leader in research and development in three core capabilities: 1) secure and resilient systems, 2) engineering AI systems, and 3) integrated data and decision systems.
To help achieve the overarching aspirations of VTNSI, and the specific technical goals of the ISD, we are looking for applicants with expertise in software development and an interest in working on team-based development projects. An interest in the development of AI-based systems is required while prior knowledge in the area is not. General activities of this position will consist of:
Software development tasks across 2-3 programs primarily focused on artificial intelligence
Learn about the underlying technical concepts of assigned programs (through both independent learning as well as through program mentors)
Participation in weekly program meetings and periodic sponsor meetings (requiring oral and/or written updates)
Thorough test, evaluation, and documentation of developed software
(As desired) Opportunities to participate in research paper writing and business development proposal writing

Required Qualifications

- A Bachelor's or Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related STEM discipline to the position summary.
- Strong communication skills.
- Proficiency in software development and familiarity with best coding practices in one or more of the following programming languages: C++, Python.
- Familiarity with Continuous Integration/Continuous Development (CI/CD) processes for code development, test and evaluation.
- Familiarity with version control tools (e.g., Git).
- Demonstrated ability and willingness to work as a member of a development team in executing sponsored projects.
- Given the nature of the research and requirements from federal sponsors, the candidate must be a U.S. citizen.
- Demonstrated ability and willingness to document and define test cases for developed software.
- Ability to obtain and maintain a security clearance.

Preferred Qualifications

- U.S. Security Clearance at the Secret level or higher.
- Proficiency in Linux and Docker - Familiarity with GPU-based code development (e.g., CUDA).
- Familiarity with AI/ML development concepts such as RL, RAG, MCP, Agentic AI, multi-modal learning, etc.
- Familiarity with AI/ML development tools such as PyTorch, Keras, Tensorflow, LangChain, etc.
- Proficiency in developing web and/or non-web based graphical user interfaces (GUIs) utilizing frameworks such as React, Vue, Qt, etc.

 

Overtime Status

Exempt: Not eligible for overtime

Appointment Type

Restricted

Salary Information

Starting at $90,000; commensurate with experience

Hours per week

40 hours per week

Review Date

July 27, 2026

Additional Information

Due to the nature of the Institute's work, all candidates must be US citizens.

The successful candidate will be required to have a criminal conviction check.

About Virginia Tech

Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 million in research annually.

Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance.  These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development.

Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.

If you are an individual with a disability and desire an accommodation, please contact Sue Kass at sjkass@vt.edu during regular business hours at least 10 business days prior to the event.

Advertised: May 19, 2026
Applications close:

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About Virginia Tech

Sourced by ZipRecruiter

Virginia Tech, guided by its motto "Ut Prosim" (That I May Serve), embraces a hands-on, interdisciplinary approach to educate scholars as leaders and problem-solvers. As a comprehensive land-grant institution, it enriches the quality of life in Virginia and worldwide, fostering an inclusive community focused on knowledge, discovery, and creativity. With over 280 majors, the university serves a diverse student body of more than 36,000 across undergraduate, graduate, and professional programs. Virginia Tech's presence extends throughout Virginia, including campuses in Northern Virginia, Roanoke, Newport News, and Richmond, along with multiple Extension offices and research centers. As a prominent global research institution, it conducts over $500 million in research annually.

Industry

Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Blacksburg, VA, US

Year founded

1872

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