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Computer Assistant Jobs in Washington, VA (NOW HIRING)

Ruby Tuesday

Server Assistant

Culpeper, VA · On-site

JOB SUMMARY The Server Assistant is responsible for providing a friendly welcome and farewell to ... Ability to operate a computer, calculator, phone and other office equipment. Attention to details ...

rubytuesday

Server Assistant

Culpeper, VA · On-site

JOB SUMMARY The Server Assistant is responsible for providing a friendly welcome and farewell to ... computer, calculator, phone and other office equipment. • Attention to details with good ...

Georgesinc

Assistant, Human Resources

Edinburg, VA

$33K - $43K/yr

Strong computer knowledge to include use of the Microsoft Office * Strong communication (written ... assist you We are an Equal Opportunity Employer, including Disabled/Veterans

George's, Inc.

Assistant, Human Resources

Edinburg, VA · On-site

$33K - $43K/yr

Strong computer knowledge to include use of the Microsoft Office * Strong communication (written ... assist you We are an Equal Opportunity Employer, including Disabled/Veterans

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Showing results 1-20

All JobsComputer JobsComputer Assistant JobsComputer Assistant Jobs in Washington, VA

Computer Assistant information

See Washington, VA salary details

$35.3K

$50.9K

$66.9K

How much do computer assistant jobs pay per year?

As of Jul 16, 2026, the average yearly pay for computer assistant in Washington, VA is $50,920.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,100.00 and $58,500.00 per year, depending on experience, location, and employer.

What is the difference between Computer Assistant vs Data Entry Clerk?

AspectComputer AssistantData Entry Clerk
Required CredentialsHigh school diploma; some roles may require basic IT certificationsHigh school diploma; familiarity with data management software
Work EnvironmentOffices, schools, or organizations supporting IT tasksOffices, data centers, or administrative settings
Employer & Industry UsageEducational institutions, small businesses, tech supportCorporate, healthcare, government, and administrative sectors
Common Search & ComparisonOften compared for entry-level IT support rolesCompared for administrative data handling tasks

Computer Assistants and Data Entry Clerks often share similar work environments and entry-level credentials. However, Computer Assistants typically support IT functions and troubleshooting, while Data Entry Clerks focus on inputting and managing data. Both roles are essential in administrative and organizational settings, but they serve different primary functions within organizations.

What is the easiest computer job that pays well?

A computer assistant role is often considered an accessible entry-level job that pays reasonably well, especially for those with basic technical skills and familiarity with office software. It typically involves tasks like troubleshooting, data entry, and supporting IT staff, with opportunities to learn more advanced skills over time.

Is it assistant a good career?

A computer assistant role involves providing technical support, troubleshooting hardware and software issues, and assisting users with technology. It can be a good entry-level career in IT, offering opportunities to develop technical skills, certifications, and experience for advancement in the technology field.

What does a computer assistant do?

A computer assistant provides technical support by troubleshooting hardware and software issues, setting up and maintaining computer systems, and assisting users with technology-related tasks. They often work in office environments, using tools like diagnostic software and may require basic certifications or knowledge of operating systems and network fundamentals.

What are Computer Assistants?

Computer Assistants are professionals who provide technical support and assistance to users in using computer systems, software, and hardware. They may help with troubleshooting issues, installing and configuring programs, maintaining equipment, and ensuring that technology runs smoothly in an organization. Their role can also include answering user queries, training staff on software applications, and performing routine system maintenance. Computer Assistants are essential in keeping workplaces efficient and resolving technical problems quickly.

What Is a Computer Assistant?

A computer assistant uses their technical and communication skills to help people troubleshoot problems with their computers. Sometimes referred to as technical support or customer support staff, computer assistants know about computers and the software they run. Their primary job duties include listening to customers describe the problems they are having and then walking them through a series of steps to get any issues resolved. Depending on the company you work for, you may also assist employees with their computer setups and help develop training guides. Some computer assistants work in call centers while others communicate exclusively through online chat or email. The minimum educational qualifications for this career include a high school diploma or G.E.D. certificate, although some employers may prefer you to have an associate degree in computer science and previous experience in a similar role.

What are some common challenges faced by Computer Assistants in supporting end-users, and how can they effectively address them?

Computer Assistants often encounter challenges such as troubleshooting diverse hardware and software issues, managing multiple support requests simultaneously, and explaining technical concepts to users with varying levels of computer literacy. To address these challenges effectively, strong organizational and communication skills are essential. Building a knowledge base of common solutions, prioritizing tickets based on urgency, and maintaining patience and empathy with users can greatly enhance the support experience and lead to improved outcomes.

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

To thrive as a Computer Assistant, you need strong knowledge of computer hardware, software applications, troubleshooting techniques, and typically at least an associate degree in a related field. Familiarity with operating systems, office productivity software, basic networking, and help desk ticketing systems is commonly required. Excellent communication, problem-solving abilities, and patience are valuable soft skills for this position. These skills ensure efficient technical support, minimize downtime, and foster a productive work environment.

What skills are needed for an IT assistant?

An IT assistant needs strong technical skills in computer hardware, software, and networking, along with problem-solving abilities. Good communication skills and familiarity with common tools like operating systems, troubleshooting software, and basic cybersecurity are also important. Certifications such as CompTIA A+ can enhance job prospects.
More about Computer Assistant jobs
What job categories do people searching Computer Assistant jobs in Washington, VA look for? The top searched job categories for Computer Assistant jobs in Washington, VA are:
What cities near Washington, VA are hiring for Computer Assistant jobs? Cities near Washington, VA with the most Computer Assistant job openings:
Computer Assistant jobs near you
Infographic showing various Computer Assistant job openings in Washington, VA as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $50,920 per year, or $24.5 per hour.
Image & Computer Vision AI Engineer

Image & Computer Vision AI Engineer

Hatch IT

Washington, VA • On-site

Full-time

Re-posted 23 days ago

Job description

hatch I.T. is partnering with Babel Street to find an Image & Computer Vision AI Engineer. Please see details below:
About the Role
As an Engineer on the Image & Computer Vision AI team, you will play a hands-on role in developing and deploying computer vision capabilities that support Babel Street's intelligence applications. You will build systems that extract, analyze, and reason over visual data-enabling facial matching, object and scene understanding, geolocation and location inference from imagery, and multimodal intelligence workflows.
This role is execution-focused and suited for engineers with strong foundations in computer vision, image processing, and machine learning who want to apply their skills to real-world, mission-driven problems. You will work closely with AI, Product, and Engineering teams to deliver reliable, scalable, and cost-efficient vision capabilities, including integration with multimodal LLM systems that allow users to search and reason over images using natural language.
This is a hybrid role to be based out of either their Reston, VA/Washington DC office or their Somerville MA office.
About the Company
Babel Street is the trusted technology partner for the world's most advanced identity intelligence and risk operations. They deliver advanced AI and data analytics solutions providing unmatched, analysis-ready data regardless of language, proactive risk identification, 360-degree insights, high-speed automation, and seamless integration into existing systems. Babel Street empowers government and commercial organizations to transform high-stakes identity and risk operations into a strategic advantage. The actionable insights we deliver safeguard lives and protect critical assets around the world. Babel Street is headquartered in Reston, Virginia, with regional offices in Boston, MA and Cleveland, OH, and international offices in Australia, Canada, Israel, Japan, and the U.K.
Role Focus:
This role spans three practical execution areas:
Computer Vision & Image Analytics
You will implement and operate image analytics pipelines that support facial matching, object detection, scene understanding, and image similarity. This includes image preprocessing, feature extraction, model inference, evaluation, and performance optimization to meet mission-grade accuracy and latency requirements.
Geospatial & Location Inference from Imagery
You will contribute to capabilities that infer location, context, or environmental attributes from imagery-leveraging visual cues, metadata, and learned representations. This includes supporting image-based geolocation, landmark recognition, and contextual scene analysis used in intelligence workflows.
Multi-Modal AI & Image Search
You will support multimodal AI systems that combine vision models with LLMs, embeddings, and retrieval pipelines to enable natural-language search and reasoning over images and image collections. You will help integrate visual understanding into broader intelligence applications and workflows.
What you will do:
  • Build and maintain computer vision pipelines for image ingestion, preprocessing, inference, and evaluation.
  • Implement facial matching, and identity-related vision workflows in accordance with accuracy, safety, and compliance requirements.
  • Develop and support object detection, image similarity, and scene understanding models.
  • Contribute to image-based geolocation and location inference capabilities using visual features and contextual signals.
  • Support multimodal AI workflows that combine image embeddings with LLM-based search and reasoning.
  • Write clean, maintainable Python code and contribute to production services and APIs.
  • Assist with model evaluation, bias testing, and accuracy monitoring for vision systems.
  • Optimize inference pipelines for performance, scalability, and cost efficiency (GPU usage, batching, model selection).
  • Collaborate with Product and Engineering teams to integrate vision capabilities into user-facing intelligence applications.

What you will bring:
Required
  • 3+ years of experience in computer vision, image processing, or applied machine learning.
  • Hands-on experience with computer vision models and techniques (e.g., CNNs, transformers for vision, feature embeddings).
  • Experience building or integrating image analytics such as facial recognition, object detection, or image similarity.
  • Strong programming skills in Python; experience with common CV/ML libraries (PyTorch, TensorFlow, OpenCV, etc.).
  • Solid understanding of machine learning fundamentals, model evaluation, and performance tradeoffs.
  • Experience working with large image datasets and production ML pipelines.
  • Ability to work collaboratively in a fast-moving, mission-driven engineering environment.

Preferred
  • Experience with facial matching or biometric systems in regulated or high-stakes environments.
  • Experience with image-based geolocation or scene/location inference.
  • Familiarity with multimodal AI systems, including combining vision models with LLMs or natural-language search.

Education:
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field required.
    Advanced degree is a plus but not required.

$140,000 - $170,000 a year
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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