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Computer Science Training Jobs in Virginia (NOW HIRING)

... training materials and workshops to educate AA owners, developers, and stakeholders on the QAF ... Required : • TS/SCI with Poly Clearance • Master's degree in Data Science, Computer Science ...

... training materials and workshops to educate AA owners, developers, and stakeholders on the QAF ... Required : • TS/SCI with Poly Clearance • Master's degree in Data Science, Computer Science ...

Career development opportunities, including on-the-job training, tuition reimbursement, and ... Computer software engineers apply the principles and techniques of computer science, engineering ...

Mid Computer Engineer

Chesapeake, VA · On-site

$108.30K - $127.70K/yr

Career development opportunities, including on-the-job training, tuition reimbursement, and ... Computer software engineers apply the principles and techniques of computer science, engineering ...

Computer Science specific: * Employ mathematics, statics, information science, artificial ... Develop and deliver training materials and workshops to educate product owners, developers, and ...

Computer Science specific: * Employ mathematics, statics, information science, artificial ... Develop and deliver training materials and workshops to educate product owners, developers, and ...

Computer Science specific: * Employ mathematics, statics, information science, artificial ... Develop and deliver training materials and workshops to educate product owners, developers, and ...

Computer Science specific: * Employ mathematics, statics, information science, artificial ... Develop and deliver training materials and workshops to educate product owners, developers, and ...

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Showing results 1-20

Computer Science Training information

See Virginia salary details

$20.4K

$67.8K

$116.7K

How much do computer science training jobs pay per year?

As of May 30, 2026, the average yearly pay for computer science training in Virginia is $67,758.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,332.00 and $97,253.00 per year, depending on experience, location, and employer.

What is a Computer Science Training job?

A Computer Science Training job involves teaching or mentoring individuals in computer science concepts, programming, and related technologies. Professionals in this role may work in academic institutions, corporate training programs, or bootcamps to help students or employees develop technical skills. The job often includes designing curriculum, conducting lectures or hands-on coding sessions, and assessing learners' progress. Strong knowledge of programming languages, algorithms, and software development is typically required.

What are the key skills and qualifications needed to thrive in the Computer Science Training position, and why are they important?

To thrive in Computer Science Training roles, you need a solid background in computer science concepts, programming, and educational or instructional expertise, often supported by a relevant degree or professional certifications such as CompTIA, Microsoft Certified Educator, or instructional design credentials. Familiarity with learning management systems (LMS), online collaboration platforms, and coding tools like Python, Java, or C++ is commonly required. Strong communication, patience, and the ability to tailor complex technical information to diverse audiences are valuable soft skills in this field. These competencies are essential for effectively teaching and preparing learners for evolving industry demands.

What are some typical responsibilities of someone working in Computer Science Training?

Professionals in Computer Science Training are often responsible for designing and delivering curriculum, conducting hands-on programming workshops, assessing learners' progress, and updating course materials to reflect current industry trends. You may work closely with other instructors, HR training coordinators, or technical experts to align content with organizational or educational objectives. Collaboration with industry professionals and ongoing professional development are also common, as the technology landscape evolves quickly. This mix of technical and educational duties ensures that trainees gain practical, up-to-date skills needed for a successful tech career.
What are popular job titles related to Computer Science Training jobs in Virginia? For Computer Science Training jobs in Virginia, the most frequently searched job titles are:
Infographic showing various Computer Science Training job openings in Virginia as of May 2026, with employment types broken down into 84% Full Time, 11% Part Time, and 5% Contract. Highlights an 95% Physical, and 5% Remote job distribution, with an average salary of $67,758 per year, or $32.6 per hour.
Senior Computer Scientist

Senior Computer Scientist

ANSER

Reston, VA • On-site

Full-time

Posted 2 days ago


Job description

Job Summary:
ANSER enhances national and homeland security by strengthening public institutions. ANSER is seeking a Senior Computer Scientist to support AI/ML Quality Assurance Framework efforts by integrating various scientific techniques to correlate complex findings into narrative products on trends of existing intelligence data.
Responsibilities:
• Review and evaluate QAF documentation submitted by Advanced Analytic (AA) owners to ensure compliance with tradecraft standards and adherence to best practices in AI system development and deployment.
• Assess QAF documentation for completeness, accuracy, and thoroughness, and provide detailed feedback to AA owners and developers.
• Develop and utilize and data mining algorithms based on open-source capabilities. Integrates or codes algorithms to support Government intelligence search and discovery missions.
• Make best practice recommendations on managing data within hardware, software, storage, and bandwidth constraints.
• Assist in maintaining a repository of QAF documentation to facilitate knowledge sharing and best practices across the organization.
• Provide consultation and guidance to AA owners, developers, and stakeholders on the QAF process, including best practices for Al system development, testing, and
• Collaborate with AA owners and developers to identify and address potential issues or gaps in QAF documentation.
• Develop and deliver training materials and workshops to educate AA owners, developers, and stakeholders on the QAF process and its application in AI system development.
• Assist analytic methodologists and AA owners in translating technical documentation into analytic tradecraft compliant language.
• Collaborate with stakeholders to develop, implement, and refine best practices for
• translating technical documentation into tradecraft compliant language.
• Review and edit translated documentation to ensure accuracy, completeness, and
• adherence to tradecraft standards.
• Support capability development by contributing, editing, and storing code in
• Government owned/controlled source version control repositories.
• Employ data science techniques to support predictive analysis, social across the Defense Intelligence Enterprise (DIE).
Qualifications:
Required:
• TS/SCI with Poly Clearance
• Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related technical field.
• Twelve or more years of experience in data science, analytics, or machine learning in support of intelligence or defense missions.
• Proficiency in Python, R, and SQL, and experience with data visualization tools such as Power BI or Tableau.
• Strong experience with predictive modeling, data mining, statistical analysis, and ML algorithms.
• Experienced with knowledge graphs, semantic data modeling, and query languages (e.g., SPARQL, GraphQL).
• Experience developing, implementing, and evaluating AI/ML models for analytic efficiency and tradecraft compliance.
Preferred:
• Experience supporting DIA, IC, or DoD analytic modernization or OBI initiatives.
• Working knowledge of TEVV methodologies, bias detection, and fairness analysis for AI systems.
• Experience with distributed data processing, cloud-based analytics, or large-scale machine learning architectures.
• Demonstrated understanding of Object Based Intelligence frameworks.
• Experience with DoD 8570/8140 compliance and responsible AI policy frameworks.
• Experience working with in support of Defense Intelligence All-source Analytic Enterprise (DIAAE) OBI efforts, the Defense Intelligence Enterprise Knowledge Model (DIEKM), and Defense Intelligence Core Ontology (DICO).
• Developing OBI governance and tradecraft to assist DIA and other DIAAE organizations conducting OBI.
Company:
In 1958 the Air Force needed a technically qualified unbiased organization that could rapidly provide analysis for identified and evolving mission requirements. Founded in 1958, the company is headquartered in Falls Church, USA, with a team of 501-1000 employees. The company is currently Late Stage.