2

Remote Computer Science Opt Jobs in Ashburn, VA (NOW HIRING)

... science, computer science, operations research or other closely related other quantitative or ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

... science, computer science, operations research or other closely related other quantitative or ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Data Scientist

Arlington, VA ยท On-site +1

Ability to work autonomously in a fully remote, flexible environment. * Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related ...

Data Scientist

Arlington, VA ยท On-site +1

Ability to work autonomously in a fully remote, flexible environment. * Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related ...

next page

Showing results 1-20

Remote Computer Science Opt information

See Ashburn, VA salary details

$85.4K

$104.8K

$138.6K

How much do remote computer science opt jobs pay per year?

As of Jun 5, 2026, the average yearly pay for remote computer science opt in Ashburn, VA is $104,816.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $117,600.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Computer Science Opt, you need a solid background in computer science fundamentals, programming, and problem-solving, typically supported by a relevant degree or technical certification. Familiarity with version control systems (like Git), remote collaboration tools, and common programming languages such as Python or Java is essential. Strong self-motivation, effective communication, and time management skills help you stand out in a remote environment. These competencies ensure productivity, high-quality technical output, and smooth teamwork despite working from different locations.

How do remote Computer Science professionals typically collaborate with their teams to ensure project success?

Remote Computer Science professionals often use a combination of collaboration tools such as Slack, Zoom, and project management platforms like Jira or Trello to stay connected with their teams. Regular virtual meetings, code reviews, and documentation sharing are standard practices to maintain clear communication and alignment on project goals. Adapting to asynchronous communication and being proactive in providing updates are essential to overcome the challenges of different time zones and remote work dynamics. Building strong relationships with colleagues through regular check-ins and open communication greatly contributes to successful teamwork and project outcomes.

What are Remote Computer Science OPT jobs?

Remote Computer Science OPT jobs are employment opportunities that allow international students in the U.S. on F-1 visas to work remotely in computer science-related fields during their Optional Practical Training (OPT) period. These positions can include software development, data analysis, IT support, and other technology roles that permit employees to work from locations outside of the traditional office. Such jobs help students gain practical experience in their field of study while offering flexibility in work location. It's important that the job is directly related to the student's major and meets all OPT requirements set by U.S. immigration policies.
What are the most commonly searched types of Computer Science Opt jobs in Ashburn, VA? The most popular types of Computer Science Opt jobs in Ashburn, VA are:
What are popular job titles related to Remote Computer Science Opt jobs in Ashburn, VA? For Remote Computer Science Opt jobs in Ashburn, VA, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Opt jobs in Ashburn, VA look for? The top searched job categories for Remote Computer Science Opt jobs in Ashburn, VA are:

TS206 Computer Vision Engineer

Warriors Solutions

Chantilly, VA โ€ข On-site, Remote

$160K - $215K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Job description

Position Title: Senior Computer Vision Engineer
Requisition ID: TA206
Location: Remote
Application Deadline: We are accepting applications on an ongoing basis
Who We Are
Trusted Space builds solutions both on the ground and in space. Our solutions provide advanced capabilities supporting missions vital to our Nation's defense, intelligence, and science sectors. Our diverse talented staff of scientists, engineers, and business professionals support critical missions including Space Domain Awareness, Battlespace Awareness & Decision Support, Space Exploration & Science, and the establishment of core Space Infrastructure.
Our Culture
As a customer-focused service provider, Trusted Space values its employees and clients. We live by our values; central to this principle is the concept to treat others as you would like others to treat you. We offer a collaborative and supportive work environment, world class benefits, and work-life balance. We encourage life-long learning and continuous improvement in all that we do. Each day, we seek to be better than the previous day, embracing our journey to Excellence. We consider it a privilege to work with our customers on their greatest challenges.
Job Description
Trusted Space is seeking a Senior Computer Vision Engineer with a bachelor's degree or higher and 8+ years of experience to help build the next generation of battlespace awareness capabilities. You will work alongside a small dynamic team of aerospace and software engineers.
Key Responsibilities
  • Technical Execution Leadership: Lead the technical execution of computer vision programs ensuring high-quality model development, testing, and deployment.
  • Strategic Technical Planning: Develop and maintain computer vision technical roadmaps including guiding architecture, algorithm selection, and implementation decisions. Additionally, define work scope packages and milestones, and prioritize feature and capability needs in partnership with program leadership and stakeholders.
  • Lead Model Development: Lead the design, training, and evaluation of computer vision models for detection, identification, classification, and segmentation. Implement models using modern deep learning architectures and frameworks. Optimize models for performance, robustness, and deployment constraints.
  • Lead Dataset curation: Ingest, clean, annotate, and audit terabytes of optical-sensor imagery to guarantee label fidelity and domain relevance for every model-training run.
  • Research & Innovation: Research and evaluate cutting-edge computer vision models, architectures, and approaches. Prototype and test new algorithms to improve system performance.

Qualifications
  • United States citizenship required
  • Bachelor's degree in Imaging Science, Computer Science, Computer Vision, or related field
  • 8+ years of experience in Computer Vision
  • 4+ years of experience leading technical teams to include agile software development methodology, developing technical roadmaps, scoping technical requirements, and features
  • Strong Proficiency in Python, C++, or other relevant languages
  • Experience with ML frameworks like PyTorch, TensorFlow, and scikit-learn
  • Strong foundation in mathematics, statistics, and linear algebra
  • Ability to identify and solve complex problems related to imagery analysis
  • Presenting technical choices and trade-offs to executives and non-technical clients
  • Ability to effectively communicate technical information to executives and non-technical audiences

Desired Skills
  • Master's or PhD degree in Imaging Science, Computer Vision, or Computer Science
  • Experience developing image processing for spacecraft, missile, aircraft, hypersonic glide vehicle, and/or drone detection
  • Experience with modern ML training libraries such as PyTorch Lightning, MLflow, and RayTune
  • Experience designing and training multi-task neural networks that jointly predict segmentation, detection, classification, and motion vectors
  • Experience building and designing modern architectures such as CNNs and Vision Transformers
  • Experience with data analysis tools and techniques such as JupyterLab, Napari, and Monai, and convey complex results
  • Experience with modern offline data labeling techniques
  • Active TS/SCI clearance or eligibility to obtain one

Salary Range: The salary range for this role is $160,000 - $215,000. Please note that this range is a general guideline and can vary. Trusted Space, LLC considers several factors when extending an offer including, but not limited to: scope, location, position responsibilities, education/training, key skills and business considerations.
Benefits: Trusted Space seeks to create an environment where Employees are empowered and supported to achieve their full potential. We encourage life-long learning within our Agile & Innovative work environment. We offer competitive compensation and benefits including medical, dental, and vision plans; life and accidental death & dismemberment insurance; 401(k) plan; paid holidays and generous paid time off; short-term and long-term disability insurance; and other benefits to promote health, wellness, and a positive work-life balance.
Trusted Space, LLC is an Equal Opportunity Employer. We do not discriminate based on race, religion, color, sex, gender, gender identity, sexual orientation, age, marital status, national origin, veteran status, disability status, or any other status protected under federal, state, or local law. All aspects of employment are decided based on qualifications, merit, competence, performance, and business need.
DISCLAIMER: Trusted Space, LLC only uses the respective domains of trustedspace.com and trustedspace.us for official contact and any other domains are likely a scam and do not originate from our company. Trusted Space will never ask a candidate for access or pass codes to personal accounts including e-mails, bank accounts, CashApp, Paypal, Venmo, etc.