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Computer Science Freelance Remote Jobs in Chester, VA

Remote (U.S.-based preferred) Clearance: Public Trust (Required / Must be eligible) Position ... Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent ...

Richmond, VA (Hybrid/Open to remote for Top Notch candidates) Duration: Long term contract Note ... Bachelor's or Master's degree in Computer Science, Information Technology, or related field. * 8+ ...

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Computer Science Freelance Remote information

See Chester, VA salary details

$8

$21

$63

How much do computer science freelance remote jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for computer science freelance remote in Chester, VA is $21.14, according to ZipRecruiter salary data. Most workers in this role earn between $17.26 and $17.26 per hour, depending on experience, location, and employer.

What does a computer science freelance remote professional do?

A Computer Science Freelance Remote professional works independently, often from home or any location with internet access, providing their expertise in areas such as software development, programming, data analysis, or IT support to various clients. Their responsibilities can include building applications, troubleshooting systems, developing websites, or managing databases on a contract basis. This type of work offers flexibility in scheduling and project selection but also requires strong time management and communication skills to deliver quality results to diverse clients.

What are the key skills and qualifications needed to thrive as a computer science freelance remote professional?

To thrive as a Computer Science Freelance Remote professional, you need strong programming skills, problem-solving abilities, and a solid understanding of computer science fundamentals, often supported by a relevant degree or portfolio. Familiarity with popular coding languages, version control systems like Git, and project management tools such as Jira or Trello is essential. Excellent time management, proactive communication, and adaptability are standout soft skills for remote success. These skills and qualities are crucial for delivering high-quality work, meeting client expectations, and maintaining productivity in a self-directed, remote environment.

What are some typical challenges faced by remote freelance computer science professionals, and how can they be effectively managed?

Remote freelance computer science professionals often face challenges such as managing multiple client deadlines, maintaining clear communication across different time zones, and ensuring consistent motivation without in-person supervision. To effectively manage these, it's important to use project management tools, set clear expectations with clients, and establish a structured daily routine. Regular check-ins and leveraging collaborative platforms can also help maintain transparency and build strong working relationships with clients and team members.

What is the difference between Computer Science Freelance Remote vs Software Developer?

AspectComputer Science Freelance RemoteSoftware Developer
CredentialsTypically requires a degree in computer science or related field, with certifications optionalUsually requires a degree in computer science or software engineering, with certifications beneficial
Work EnvironmentRemote, freelance projects for various clientsOften remote or on-site, employed by a company or organization
Employer & Industry UsageUsed by independent contractors across tech, startups, and consultingEmployed by tech companies, startups, or corporations
Search & Comparison IntentPeople compare freelance roles with full-time software development jobsOften compared with freelance or contract roles in software development

Computer Science Freelance Remote professionals work independently on diverse projects, often remotely, while Software Developers are typically employed by organizations. Both roles require similar educational backgrounds, but their work settings and employment types differ significantly.

What cities near Chester, VA are hiring for Computer Science Freelance Remote jobs?

Cities near Chester, VA with the most Computer Science Freelance Remote job openings:

Infographic showing various Computer Science Freelance Remote job openings in Chester, VA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $43,961 per year, or $21.1 per hour.

Senior Computer Vision Engineer ID72408

AgileEngine

Richmond, VA โ€ข On-site, Remote

$102K - $140K/yr

Full-time

Posted 13 days ago


Key responsibilities

  • Own the applied model development process across computer vision, AI/ML, and broader data science use cases.

  • Develop and deploy solutions for object detection, image segmentation, image classification, and video analysis.

  • Evaluate, fine-tune, and analyze model architectures, and build models for forecasting and anomaly detection.


Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE
We are looking for a Senior Computer Vision Engineer to own applied model development across computer vision, machine learning, and data science use cases — building and deploying solutions for object detection, image segmentation, classification, and video analysis. You will evaluate and fine-tune model architectures using PyTorch and TensorFlow, build broader ML models for forecasting and anomaly detection, and apply practical knowledge of computer vision hardware including cameras, sensors, and edge devices.

WHAT YOU WILL DO
- Own the applied model development process across computer vision, AI/ML, and broader data science use cases;
- Translate complex business problems into viable, practical, and scalable AI/ML solutions;
- Evaluate various model options, train and fine-tune selected architectures, and rigorously analyze model performance;
- Develop and deploy solutions for object detection, image segmentation, image classification, and video analysis;
- Build and maintain models for time-series forecasting, anomaly detection, regression, clustering, and general data analysis;
- Apply practical knowledge of real-world constraints—such as lighting, sensor limitations, and edge device compute power—to ensure optimal data quality and robust model performance in production.

MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 3 to 5 years of professional experience in Computer Vision, Machine Learning, Data Science, or a related field;
- Degree in Computer Science, Engineering, Data Science, Mathematics, or a related discipline (or equivalent practical experience);
- Engineers located in the US must reside in Dallas, TX, and be open to working from the office (onsite);
- Strong, production-level proficiency in Python;
- Deep hands-on experience with PyTorch and/or TensorFlow;
- Proven track record of building and deploying models for detection, segmentation, classification, and image/video analysis;
- Solid understanding of broader ML and data science techniques (time-series modeling, forecasting, anomaly detection, regression, and clustering);
- Practical experience working with computer vision hardware, including cameras, sensors, and lighting setups;
- Familiarity with deploying models on edge devices;
- Strong understanding of how physical and real-world constraints impact data quality, model training, and inference;
- Upper-intermediate English level.

PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.