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Computer Science Research Assistant Jobs in Virginia

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How much do computer science research assistant jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for computer science research assistant in Virginia is $21.72, according to ZipRecruiter salary data. Most workers in this role earn between $18.37 and $25.24 per hour, depending on experience, location, and employer.

What is a computer science research assistant?

A Computer Science Research Assistant supports professors or researchers in conducting experiments, analyzing data, and developing software or algorithms. They may assist with literature reviews, coding, debugging, or testing to advance research projects. The role often involves working with programming languages, machine learning, cybersecurity, or other specialized topics. It provides valuable experience for students or professionals looking to deepen their knowledge in the field.

What are the typical duties and daily responsibilities of a computer science research assistant?

As a Computer Science Research Assistant, your daily responsibilities often include assisting with data collection and analysis, developing or testing software prototypes, conducting literature reviews, and helping prepare reports or presentations for research findings. You may also collaborate closely with faculty, graduate students, or industry partners, contributing to coding tasks, experimental setups, and troubleshooting technical issues as they arise. The role frequently involves both independent problem-solving and teamwork, providing a supportive environment to deepen technical skills and gain hands-on research experience. This position is an excellent opportunity to develop your research portfolio, learn advanced computing concepts, and prepare for potential graduate study or specialized tech careers.

What are the key skills and qualifications needed to thrive as a computer science research assistant?

To thrive as a Computer Science Research Assistant, you need strong analytical skills, proficiency in programming languages (such as Python, Java, or C++), and a solid understanding of algorithms and data structures, usually evidenced by coursework or a relevant degree. Familiarity with research tools, version control systems (like Git), and possibly certifications in data analysis or machine learning are advantageous. Excellent problem-solving abilities, attention to detail, and effective written and verbal communication help individuals excel when collaborating on research projects. These competencies enable you to support rigorous research, contribute to innovative solutions, and work efficiently as part of an academic or industry research team.

What are the most commonly searched types of Computer Science Research jobs in Virginia?

The most popular types of Computer Science Research jobs in Virginia are:

What are popular job titles related to Computer Science Research Assistant jobs in Virginia?

For Computer Science Research Assistant jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Computer Science Research Assistant jobs in Virginia look for?

The top searched job categories for Computer Science Research Assistant jobs in Virginia are:

What cities in Virginia are hiring for Computer Science Research Assistant jobs?

Cities in Virginia with the most Computer Science Research Assistant job openings:

Infographic showing various Computer Science Research Assistant job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 2% Contract, and 1% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $45,180 per year, or $21.7 per hour.

Research Computer Scientist - Artificial Intelligence Machine Learning

Analytical Mechanics Associates Inc.

Hampton, VA โ€ข On-site

$100 - $150/hr

Other

Medical, Dental, Vision, Retirement

Posted 22 days ago


Job description

## Research Computer Scientist - Artificial Intelligence Machine LearningApplylocations: Hampton, VAtime type: Full timeposted on: Posted 8 Days Agojob requisition id: R-100721**Job Description:**In support of NASA Langley Research Centerโ€™s Aeronautics Systems Engineering Branch, AMA is seeking highly skilled candidates in the field of Artificial Intelligence / Machine Learning. Specifically, AMA is seeking candidates to support work within the uncrewed aircraft systems domain developing machine learning algorithms and tools based on the use of vision and/or radar sensors for airspace surveillance, onboard sense and avoid, and perception of hazards for autonomous navigation. The selected candidate will work with NASA and regulatory authorities on the overall advancement of machine learning with the aviation industry and increase NASAโ€™s presence in the field. This position will be located on site at NASA LaRC.Responsibilities:* Develop algorithms to detect, track, and classify uncrewed aircraft systems (multirotor, fixed wing, or VTOL), birds, general aviation vehicles, and commercial aviation vehicles* Integrate ground-based surveillance systems with airborne sensing suites by sharing data on an IoT platform* Conduct literature reviews to understand state of the art for machine learning, identifying gaps for aviation* Leverage previously collected NASA data along with future NASA and external data to evaluate machine learning techniques* Develop sensor fusion techniques for multiple sensor types using machine learning and traditional fusing techniques* Evaluate machine learning methodology using traditional machine learning metrics along with proposed aviation metrics by the Radio Technical Commission for Aeronautics (RTCA).* Assist in the design and execution of experiments at NASA Langley Research Center and Armstrong Flight Research Center* Assist in the development of machine learning challenges such as those for the Computer Vision Pattern Recognition Conference* Document research results for conference presentation and publicationQualifications* MS or PhD in Computer Science or related computational field with concentrations in artificial intelligence and machine learning* Demonstrated experience in machine learning through published research papers* Expertise in machine learning, computer vision, sensor-based data acquisition* Application of machine learning with the aviation domain highly desired* Understanding of uncrewed aircraft systems operations highly desired* Must work well in highly collaborative dynamic environments with diverse team* Strong communications skills, written and verbalSalary range: $100k-$150kUS citizenship or Permanent Residency is required Analytical Mechanics Associates (AMA) is proud of our customer relationships, our diverse and dynamic work environment, and our employees' career satisfaction. AMA is a small business with a wide reach; headquartered in Hampton, VA, AMA has operations in Greenbelt, MD; Huntsville, AL; Dallas and Houston, TX; Denver, CO; Mountain View, CA; and Edwards Air Force Base, CA. With over 60 years of experience, AMA specializes in aerospace engineering, science, analytics, information technology, and visualization solutions. AMA combines the best of engineering, science, and mathematics capabilities with the latest in information technologies, visualization, and multimedia to build creative solutions. We offer competitive salaries and a substantial benefits package, including but not limited to paid personal and federally recognized holiday leave, salary deferrals into a 401(k)-matching plan with immediate vesting, tuition reimbursement, short/long term disability plans, and a variety of medical, dental, and vision insurance options. AMA is committed to the professional growth of every employee, understanding that the successes of our employees drive our success. We provide a work environment that is engaging, collaborative, and supportive. To learn more about our company, please visit our website at www.ama-inc.com/careers and follow us on Facebook and LinkedIn. AMA is an Equal Opportunity Employer and does not discriminate against any applicant for employment or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic prohibited under federal, state, or local laws. #J-18808-Ljbffr