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Part Time Computer Science Jobs in Gainesville, VA

Bechtel

AI Solutions Engineer

Reston, VA · On-site

Telework Type: Part-Time Telework * Work Location: Reston, VA * Salary Range: 123,400 - 178,500 ... Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related field. * 7+ ...

Booz Allen Hamilton, Inc.

Data Scientist

Chantilly, VA · On-site +1

$99K - $225K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... Knowledge of analytic methods and methodological tools used in applied mathematics, computer ...

Riverside Research Institute

Software Developer

Fairfax, VA · On-site

$53K - $70K/yr

This part-time role is open to individuals who are currently pursuing a degree or have equivalent ... Currently pursuing a degree in Computer Science, Software Engineering, or a related technical field ...

New

Bechtel

Dashboard & Analytics Lead

Reston, VA · On-site

Telework Type: Part-Time Telework * Work Location: Various Work Locations USA, Reston, VA * Salary ... Bachelor's degree in Computer Science, Data Analytics, Information Systems, Engineering, or a ...

NuAxis Innovations LLC

Operations Intern

Vienna, VA · On-site

$15.25 - $20/hr

... Systems, Computer Science, or a related field. * Strong written, verbal, and interpersonal ... Schedule * Part-time (15-25 hours per week) * Flexible schedule designed to accommodate academic ...

Booz Allen Hamilton, Inc.

DevSecOps Engineer

Chantilly, VA · On-site

$62K - $141K/yr

Bachelor's degree in Engineering, Software Engineering, Computer Science, Information Systems ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Showing results 21-40

All JobsComputer Science JobsPart Time Computer Science JobsPart Time Computer Science Jobs in Gainesville, VA

Part Time Computer Science information

See Gainesville, VA salary details

$55.8K

$82.1K

$96.8K

How much do part time computer science jobs pay per year?

As of Aug 10, 2026, the average yearly pay for part time computer science in Gainesville, VA is $82,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,500.00 and $92,300.00 per year, depending on experience, location, and employer.

What are part-time jobs in computer science?

Part-time computer science jobs focus on developing programs, engineering computer infrastructure, providing support for computer systems, and teaching computer-related subjects. As a part-time computer science professional, you perform your duties for less than 40 hours per week. As a computer science instructor, you teach coding and related skills to help students learn to develop or build programs, platforms, and networks. Your responsibilities as a computer scientist include installing, repairing, or customizing software or systems. You can also work in a job where you provide technical support for computer users. Some part-time professionals freelance or work on weekends and evenings.

What is the easiest part time computer science job to get?

Part-time roles such as data entry, technical support, or basic web development are generally easier to obtain in computer science, especially for those with foundational skills in programming, troubleshooting, or using common tools like HTML or Excel. These positions often require minimal experience and can be suitable for students or those new to the field.

What is the difference between Part Time Computer Science vs Part Time Software Developer?

AspectPart Time Computer SciencePart Time Software Developer
Required CredentialsTypically a degree or coursework in computer scienceOften a degree in computer science or related field, sometimes self-taught
Work EnvironmentAcademic settings, research labs, or online learning platformsTech companies, startups, freelance projects, or remote work
Employer & Industry UsageEducational institutions, research organizations, online education providersSoftware firms, IT departments, freelance clients
Common Search & Comparison IntentUnderstanding academic or foundational roles in computer scienceSeeking practical software development opportunities in part-time roles

Part Time Computer Science generally focuses on foundational knowledge, research, and academic coursework, while Part Time Software Developer emphasizes practical coding, application development, and project work. Both roles often require similar educational backgrounds but differ in work environment and industry application.

What jobs can you get with a part time computer science degree?

A part-time computer science degree can qualify you for roles such as software developer, web developer, technical support specialist, or data analyst. These positions often require knowledge of programming languages, problem-solving skills, and familiarity with tools like databases or coding environments, and may be suitable for flexible or entry-level schedules.

What are the key skills and qualifications needed to thrive as a part-time computer science instructor, and why are they important?

To thrive as a Part-Time Computer Science Instructor, you should have a solid background in programming languages, algorithms, and computer science fundamentals, typically supported by a relevant degree or professional experience. Familiarity with learning management systems (LMS), coding platforms, and common programming tools is important for effective instruction and student engagement. Strong communication, adaptability, and patience help instructors explain complex concepts clearly and support diverse learners. These skills ensure that students receive quality education and are well-prepared for careers in technology.

What are some common challenges faced by part-time computer science professionals, and how can they be addressed?

Part-time Computer Science professionals often face challenges such as managing workload across limited hours, staying updated with rapidly evolving technologies, and integrating effectively with full-time team members. To address these, clear communication with supervisors about workload expectations is essential, as is setting aside dedicated time for skill development. Additionally, participating in regular team meetings and utilizing collaboration tools can help maintain strong connections with colleagues and ensure project alignment despite reduced hours.
More about Part Time Computer Science jobs
What are the most commonly searched types of Computer Science jobs in Gainesville, VA? The most popular types of Computer Science jobs in Gainesville, VA are:
What job categories do people searching Part Time Computer Science jobs in Gainesville, VA look for? The top searched job categories for Part Time Computer Science jobs in Gainesville, VA are:
What cities near Gainesville, VA are hiring for Part Time Computer Science jobs? Cities near Gainesville, VA with the most Part Time Computer Science job openings:
Part Time Computer Science jobs near you
Infographic showing various Part Time Computer Science job openings in Gainesville, VA as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $82,060 per year, or $39.5 per hour.

AI Solutions Engineer

Bechtel

Reston, VA • On-site

Full-time, Part-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Bechtel rating

7.6

Company rating: 7.6 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

275th of 446 rated engineering

Job description

Requisition ID: 297512
  • Relocation Authorized: None
  • Telework Type: Part-Time Telework
  • Work Location: Reston, VA
  • Salary Range: 123,400 - 178,500 annually (salary range is based on market data; final salary offered is determined by education, experience, and qualifications of the applicant.)

Extraordinary teams building inspiring projects:
Since 1898, we have helped customers complete more than 25,000 projects in 160 countries on all seven continents that have created jobs, grown economies, improved the resiliency of the world's infrastructure, increased access to energy, resources, and vital services, and made the world a safer, cleaner place.
Differentiated by the quality of our people and our relentless drive to deliver the most successful outcomes, we align our capabilities to our customers' objectives to create a lasting positive impact. We serve the Infrastructure; Nuclear, Security & Environmental; Energy; Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial planning and investment, through start-up and operations.
Core to Bechtel is our Vision, Values and Commitments. They are what we believe, what customers can expect, and how we deliver. Learn more about our extraordinary teams building inspiring projects in our Impact Report.
Job Summary:
The AI Program is a strategic cross-business initiative delivering AI capabilities at scale across Bechtel Infrastructure as part of the wider Execution Transformation Initiative. The AI Program relies on rigorous technical assurance to ensure that AI models, agents, and coding solutions deployed across Bechtel meet quality, safety, and accuracy standards. As AI capabilities scale from pilots to production, structured validation frameworks, coding standards, and Human-in-the-Loop (HITL) review processes are essential to maintaining trust in AI-driven outputs.
The AI Solutions Engineer will serve as the technical quality authority within the AI programme, responsible for establishing and enforcing AI coding standards, validating machine learning models and AI agents, and maintaining robust testing frameworks that safeguard the integrity of AI solutions across the organisation. This role reports to the Data Solutions Architect and works in close collaboration with the AI Portfolio & Governance Manager and functional AI leads.
"This position is designated as part-time telework per our global telework policy and will require at least three days of in-person attendance per week at the assigned office or project. Weekly in-person schedules will be determined by the individual and their supervisor, in consultation with functional or project leadership" #LI-RM1
Major Responsibilities:
  • Establish and enforce AI coding standards and development best practices across the AI programme, ensuring consistent quality and maintainability of AI solutions.
  • Validate machine learning models and AI agents against defined performance, accuracy, and safety criteria prior to deployment.
  • Serve as the Human-in-the-Loop (HITL) reviewer, providing structured oversight and approval authority for AI-generated outputs. Conduct solution assurance reviews prior to the deployment or broader rollout of AI capabilities across business units.
  • Design, implement, and maintain testing frameworks and evaluation pipelines for AI solutions including LLM-based applications and agentic workflows.
  • Collaborate with Data Solutions Architect to ensure AI solutions align with platform architecture, data governance standards, and security requirements.
  • Identify and mitigate risks related to model performance, hallucination, bias, and data quality, proposing and implementing corrective actions.
  • Maintain documentation of model performance benchmarks, test results, and validation outcomes to support programme governance.
  • Support the integration of AI agents and large language model (LLM)-based tools into project delivery workflows.
  • Contribute to the development of technical AI governance policies, responsible AI frameworks, and operational guardrails for the AI Program.
  • Research emerging AI and machine learning technologies, including developments in large language models, AI agents, evaluation techniques, and model deployment patterns, to ensure the AI Program adopts appropriate, current, and technically robust solutions.
  • Provide technical training, guidance, and coaching to the AI Program Team to build internal capability, strengthen technical expertise, and promote consistent application of AI engineering, testing, and assurance practices.

Education and Experience Requirements:
  • Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related field.
  • 7+ years or more of experience in AI/ML engineering or data science roles.

Required Knowledge and Skills:
  • Proficiency in Python and experience with machine learning frameworks (e.g., scikit-learn, PyTorch, TensorFlow, or Hugging Face).
  • Demonstrated experience in AI model validation, testing, and quality assurance, including evaluation of LLM or generative AI outputs.
  • Experience designing AI evaluation frameworks, test cases, benchmarks, or quality gates for machine learning, generative AI, or LLM-based solutions. Preferably hands-on with the tooling provided in Databricks
  • Understanding of large language models (LLMs), AI agents, prompt engineering, and agentic frameworks.
  • Strong analytical and problem-solving skills with high attention to detail and a rigorous approach to quality.
  • Ability to communicate technical findings and assurance outcomes clearly to both technical and non-technical stakeholders.
  • Experience preparing clear technical documentation, validation reports, model performance summaries, or governance evidence for AI/ML solutions.
    Preferred Qualifications
  • Experience with MLOps platforms and model deployment pipelines (e.g., Azure Machine Learning, MLflow, or equivalent).
  • Familiarity with responsible AI frameworks, bias detection methodologies, and model governance practices.
  • Experience with agentic AI platforms such as Microsoft Copilot Studio, AutoGen, LangChain, or similar frameworks.
  • Hands-on experience with Azure cloud services and DevOps practices including CI/CD pipelines and version control (Git).
  • Experience providing technical guidance, coaching, or training to engineering, data, or AI delivery teams.
  • Knowledge of EPC industry workflows, engineering data standards, and project delivery environments.
  • Experience with RAG (Retrieval-Augmented Generation) architectures and enterprise AI deployment patterns.
  • Demonstrated commitment to staying current with emerging AI, machine learning, LLM, and agentic AI technologies and translating relevant developments into practical implementation guidance.

Total Rewards/Benefits:
For decades, Bechtel has worked to inspire the next generation of employees and beyond! Because our teams face some of the world's toughest challenges, we offer robust benefits to ensure our people thrive. Whether it is advancing careers, delivering programs to enhance our culture, or providing time to recharge, Bechtel has the benefits to build a legacy of sustainable growth. Learn more at Bechtel Total Rewards
Diverse teams build the extraordinary:
As a global company, Bechtel has long been home to a vibrant multitude of nationalities, cultures, ethnicities, and life experiences. This diversity has made us a more trusted partner, more effective problem solvers and innovators, and a more attractive destination for leading talent.
We are committed to being a company where every colleague feels that they belong-where colleagues feel part of "One Team," respected and rewarded for what they bring, supported in pursuing their goals, invested in our values and purpose, and treated equitably. Click here to learn more about the people who power our legacy.
At Bechtel, our employees enjoy a competitive total rewards package that includes comprehensive medical, dental, and vision plans, along with optional disability and supplemental insurance options, generous paid time off (160 hours annually, accrued 6.16 hours per pay period), nine paid holidays, paid parental leave, discretionary bonuses, and a well-designed 401K plan with matching and profit-sharing components
Bechtel is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, age, national origin, disability, citizenship status (except as authorized by law), protected veteran status, genetic information, and any other characteristic protected by federal, state or local law. Applicants with a disability, who require a reasonable accommodation for any part of the application or hiring process, may e-mail their request to acesstmt@bechtel.com

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