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Computer Science Fall Internship Jobs in Virginia

Data Scientist

Chantilly, VA ยท On-site

$105K - $215K/yr

Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, or related field ... fall outside of this range.

Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, or related field ... fall outside of this range. Qualifications: * TS/SCI with Poly Required Data Scientist I * 1-4 ...

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Showing results 1-20

Computer Science Fall Internship information

See Virginia salary details

$12.2K

$51K

$103.1K

How much do computer science fall internship jobs pay per year?

As of Jul 9, 2026, the average yearly pay for computer science fall internship in Virginia is $50,995.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,093.00 and $55,434.00 per year, depending on experience, location, and employer.

What is the difference between Computer Science Fall Internship vs Software Developer Intern?

AspectComputer Science Fall InternshipSoftware Developer Intern
Required CredentialsEnrolled in a computer science or related programEnrolled in a computer science or related program
Work EnvironmentAcademic institutions, tech companies, startupsTech companies, software firms, startups
Employer & Industry UsageUniversities, tech companies, industry projectsPrimarily tech companies, software development firms
Common Search & ComparisonYesYes

The main difference is that a Computer Science Fall Internship is a broader program often offered by universities or companies to students in computer science, focusing on gaining general industry experience. A Software Developer Intern typically refers specifically to roles focused on software development tasks within tech companies. Both roles require similar educational backgrounds but differ mainly in scope and focus.

What is a Computer Science Fall Internship?

A Computer Science Fall Internship is a temporary position, typically offered to students or recent graduates, that allows individuals to gain practical experience in the field of computer science during the fall semester. Interns work with companies or organizations on real-world projects, often involving software development, data analysis, or IT support. These internships help participants develop technical skills, build professional networks, and enhance their resumes for future job opportunities.

What types of projects and technologies do computer science fall interns typically work on during their internship?

Computer science fall interns often get the chance to work on a variety of hands-on projects, such as developing new software features, debugging existing code, or contributing to data analysis tasks. The specific technologies you might use can range from programming languages like Python or Java to tools such as Git, cloud platforms, or machine learning libraries, depending on the company. Interns usually work closely with full-time engineers and may participate in agile team meetings, code reviews, and collaborative problem-solving sessions. This exposure helps interns build both technical and teamwork skills, while also giving them insight into the software development lifecycle.

What are the key skills and qualifications needed to thrive as a Computer Science Fall Intern, and why are they important?

To thrive as a Computer Science Fall Intern, you need foundational knowledge in programming languages, algorithms, and data structures, typically supported by progress toward a computer science degree. Familiarity with version control systems like Git, integrated development environments (IDEs), and common frameworks or libraries is frequently required. Strong problem-solving abilities, eagerness to learn, and effective communication set exceptional interns apart. These skills and qualities enable interns to contribute meaningfully to projects, adapt quickly to new technologies, and collaborate efficiently within development teams.
What cities in Virginia are hiring for Computer Science Fall Internship jobs? Cities in Virginia with the most Computer Science Fall Internship job openings:
Infographic showing various Computer Science Fall Internship job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $50,995 per year, or $24.5 per hour.
Middle School Computer Science: Part Time Video and Curriculum Development

Middle School Computer Science: Part Time Video and Curriculum Development

Virtual Virginia

Richmond, VA โ€ข On-site

Part-time

Posted 29 days ago


Job description

Position Type:
Curriculum/Content Developer - Grades 6-12
Date Posted:
6/11/2026
Location:
Virtual | Remote | Online
Date Available:
07/13/2026
Closing Date:
07/01/2026
PURPOSE
The Virtual Virginia ("VVA") Teacher Developer will collaborate with the Curriculum Design & Development team as part of a new process that incorporates generative AI into course development. VVA's design specialist will provide AI-generated lesson outlines and assessment drafts, and the Teacher Developer will apply subject-area expertise to refine, align, and finalize all course materials to meet Virginia Standards of Learning and VVA instructional quality expectations.
The Teacher Developer plays a key role in reviewing AI-generated content for accuracy and instructional effectiveness, creating lesson videos, and preparing all final course documents for publication.
POSITION
Teacher Developer for the following course:
Middle School Computer Science
RESPONSIBLE TO: VVA Program Engagement Coordinator
NOTE: This is a part-time, project-based position for the 2026 2027 development cycle, with continued availability during the Fall 2027 pilot year of instruction.
PERSONAL CHARACTERISTICS
  • Passion for high-quality digital learning experiences
  • Strong subject-area expertise and instructional insight
  • Ability to review, analyze, and improve AI-generated instructional materials
  • Commitment to meeting project deadlines and following a structured development process
  • Creative problem-solver with strong attention to detail
  • Collaborative, flexible, and open to feedback
  • Comfortable using technology, multimedia tools, and AI-assisted workflows
  • Comfortable using tools to develop instructional videos

GENERAL RESPONSIBILITIES
The Teacher Developer will:
AI-Supported Course Review & Alignment
  • Review and validate AI-generated lessons, activities, and assessments for accuracy, alignment, scaffolding, and appropriateness
  • Identify instructional gaps, misconceptions, or areas needing revision
  • Create a finalized Scope and Sequence aligned to the Virginia Standards of Learning

Lesson & Assessment Development
  • Revise and refine all AI-generated materials to ensure instructional clarity, accuracy, and engagement
  • Record one instructional video per lesson
  • Finalize formative assessments, modified assessments, and summative assessments
  • Ensure each lesson includes high-quality content, an H5P interactive, practice opportunities, and instructional supports

Final Course Documentation
  • Prepare all final required course elements, including:
  • Course Syllabus
  • Course Description
  • Instructor Guide
  • Pacing Guides
  • Completed Scope & Sequence with full standards alignment
  • Submit all materials by established deadlines and respond promptly to revision requests

Collaboration & Communication
  • Engage with the VVA Design & Development Specialist for ongoing support, updates, and feedback cycles
  • Participate in virtual check-ins or meetings as needed
  • Remain available during Fall 2027 to support the initial instructional implementation of the course

REQUIRED QUALIFICATIONS
  • VA Teaching License: endorsed in a specific content area
  • Recent teaching experience in the content area, or a related field
  • Strong pedagogical knowledge and content expertise
  • Proven ability to meet deadlines and work independently
  • Experience developing curriculum or reviewing instructional materials
  • Strong written and verbal communication skills
  • Ability to use technology to develop multimedia instructional materials
  • Strong video production and editing skills
  • Familiarity with Canvas LMS
  • Willingness to engage with AI-supported design processes
  • Familiarity with the Virtual Virginia online model or successful completion of the Teaching with VVA workshop

PREFERRED QUALIFICATIONS
  • Three or more years of successful teaching experience in the content area
  • Curriculum development experience for online courses
  • Experience teaching online with Virtual Virginia or a similar program
  • Experience creating instructional videos
  • Experience developing interactive content (e.g., H5P) for online learning
  • Training in Quality Matters (K 12 Rubric or Reviewer Course)
  • Experience reviewing or refining AI-generated instructional materials (preferred but not required)