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Ai Image Jobs in Virginia (NOW HIRING)

Hatch IT

Image & Computer Vision AI Engineer

Reston, VA · On-site

$140K - $170K/yr

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 ...

UNISSANT

Senior AI Systems Architect

Ashburn, VA

Image analysis and object detection * Anomaly detection * Predictive analytics * NLP and summarization services * Intelligent search and semantic retrieval * Design scalable pipelines for AI model ...

Unissant

Senior AI Systems Architect

Ashburn, VA · On-site

$145K - $208K/yr

Image analysis and object detection * Anomaly detection * Predictive analytics * NLP and summarization services * Intelligent search and semantic retrieval * Design scalable pipelines for AI model ...

Unissant

Senior AI Systems Architect

Ashburn, VA · On-site

$145K - $208K/yr

Architect multimodal AI solutions supporting text, image, video, and structured/unstructured data analysis.Define enterprise AI integration patterns supporting cloud-native, event-driven, and ...

B&A

Senior AI Systems Architect

Ashburn, VA

Image analysis and object detection * Anomaly detection * Predictive analytics * NLP and summarization services * Intelligent search and semantic retrieval * Design scalable pipelines for AI model ...

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How much do ai image jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for ai image in Virginia is $33.63, according to ZipRecruiter salary data. Most workers in this role earn between $27.16 and $37.88 per hour, depending on experience, location, and employer.

What is an AI image?

An AI Image job involves working with artificial intelligence to generate, edit, or enhance images using machine learning models. Professionals in this field may use tools like DALL·E, MidJourney, or Stable Diffusion to create visual content for various industries, including marketing, design, and entertainment. Responsibilities can include training AI models, fine-tuning image outputs, and optimizing AI-generated visuals for specific needs.

What are the typical day-to-day responsibilities for an AI image specialist?

As an AI Image Specialist, your daily tasks typically include developing and refining computer vision models, processing large datasets of images, and collaborating with data scientists and software engineers to integrate algorithms into products. You may also evaluate model performance, troubleshoot anomalies, and present findings to both technical and non-technical teams. Often, this role involves researching new advancements in image AI technology and continuously optimizing models for accuracy and efficiency. You’ll work both independently and as part of a collaborative team, supporting innovative projects in industries such as healthcare, automotive, e-commerce, or security.

What are the key skills and qualifications needed to thrive in the AI image position, and why are they important?

To thrive in an AI Image Specialist role, you need strong expertise in computer vision, image processing, and deep learning, typically supported by a relevant degree in computer science or engineering. Familiarity with tools like TensorFlow, PyTorch, OpenCV, and automated annotation systems is commonly required, and certifications in AI or machine learning can be advantageous. Creativity, problem-solving, and effective communication are crucial soft skills for collaborating on projects and explaining results to stakeholders. These competencies ensure the ability to design, implement, and improve AI-driven image solutions that effectively meet organizational needs.

What is an AI image reviewer job?

An AI image reviewer job involves evaluating and moderating images generated or shared through AI systems to ensure they meet content guidelines and quality standards. Reviewers use specialized tools and often work remotely, requiring attention to detail and understanding of content policies. The role helps maintain safe and appropriate visual content online.

What are the most commonly searched types of Ai Image jobs in Virginia?

The most popular types of Ai Image jobs in Virginia are:

What are popular job titles related to Ai Image jobs in Virginia?

For Ai Image jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Ai Image jobs in Virginia look for?

The top searched job categories for Ai Image jobs in Virginia are:

Ai Image jobs near you
Infographic showing various Ai Image job openings in Virginia as of August 2026, with employment types broken down into 44% Full Time, and 56% Part Time. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $69,956 per year, or $33.6 per hour.

Image & Computer Vision AI Engineer

Hatch IT

Washington, VA • On-site

Full-time

Re-posted 29 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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